Dear Editor,This letter deals with the stabilization of a resilient model predictive control(MPC)algorithm with a dynamic event-triggered mechanism subject to Denial-of-Service(Do S)attacks.Different from previous wor...Dear Editor,This letter deals with the stabilization of a resilient model predictive control(MPC)algorithm with a dynamic event-triggered mechanism subject to Denial-of-Service(Do S)attacks.Different from previous works,this letter is based on the designed threshold function to dynamically trigger and gives the upper bound conditions for intersampling intervals with attack and attack-free scenarios to converge.展开更多
When a vehicle moves over a flexible pavement structure,it generates loading and unloading cycles that produce recoverable(resilient)and permanent(plastic)deformations in the granular base and subbase layers,which are...When a vehicle moves over a flexible pavement structure,it generates loading and unloading cycles that produce recoverable(resilient)and permanent(plastic)deformations in the granular base and subbase layers,which are made of unbound granular materials(UGMs).The primary parameter used to evaluate the resilient response of UGMs in pavements is the resilient modulus(MR).The MR is widely used in calculating stress-strain states for flexible pavement design and as a control parameter during the construction process.It is also employed to understand the progression of distresses,such as fatigue cracking and rutting.The main objective of this study was to conduct a literature review on the resilient behavior of UGMs.This manuscript presents and describes the MR and the factors that influence it.It also outlines the evolution of the mathematical equations most commonly used to estimate and predict this physical parameter.Conclusions and recommendations for future research are provided at the end of the article.Despite the large amount of research done on the subject,the resilient behavior of UGM has not yet been fully understood.This is since these materials are highly heterogeneous and show nonlinear-anisotropic behavior under different cyclic loading paths and water contents.Likewise,these materials undergo different behaviors depending on their macro and microscopic properties(gradation,density,porosity,texture,mineralogy,particle geometry and orientation,temperature,among others).On the other hand,the main limitation of the mathematical equations is that their parameters are difficult to determine experimentally and are not constants of the material(they are state variables that can change with multiple factors).Additionally,these equations do not consider the boundary conditions to which UGM in pavements are exposed.Moreover,they are obtained from repeated load triaxial(RLT)tests,which cannot simulate the three cyclic stress components(vertical,horizontal,and shear)to which UGMs are subjected in a pavement.In recent years,there has been an increase in studies evaluating the use of recycled aggregates and the effect of temperature(particularly at subzero temperatures),but more research is still needed to reach definitive conclusions.展开更多
The International Textile Manufac-turers Federation(ITMF),has releasedthe results of its Global Textile IndustrySurvey(GTIS)for March 2025.Thissurvey,conducted regularly across allkey regions and segments of the texti...The International Textile Manufac-turers Federation(ITMF),has releasedthe results of its Global Textile IndustrySurvey(GTIS)for March 2025.Thissurvey,conducted regularly across allkey regions and segments of the textilevalue chain,revealed a complex pictureof a deteriorated business situation,cau-tious op timism,regional divergence,andongoing structural challenges.展开更多
As Africa marks a decade since the adoption of Agenda 2063,its bold and ambitious seven aspirations have positioned the continent as a strong,united,resilient,and influential global player and partner.Reaffirming its ...As Africa marks a decade since the adoption of Agenda 2063,its bold and ambitious seven aspirations have positioned the continent as a strong,united,resilient,and influential global player and partner.Reaffirming its Pan-Africanism and African renaissance plan,aspiration seven of Agenda 2063 underscores the importance of Africa’s unity and solidarity in the face of major challenges emanating from the changing nature of globalisation,climate change,and economic and political environment.展开更多
The application of mass timber elements in different structures has gained publicity over the last few years,pri-marily due to climate change adaptation policies and net zero carbon targets.Timber is a renewable const...The application of mass timber elements in different structures has gained publicity over the last few years,pri-marily due to climate change adaptation policies and net zero carbon targets.Timber is a renewable construction material that can outperform other building materials regarding environmental impact.However,when used in seismically active regions,its application has been limited due to the uncertainties on their seismic behaviour in respect with different design standards and limited ductility in conventional connections.Conventional timber connections typically suffer from stiffness and strength degradation under cyclic loads.Their repairability is also low due to permanent damage in the fasteners and the associated crushing in the wood fibres.The use of friction connections can be an efficient way to mitigate these issues.They offer many advantages as they are economical and yet provide a high level of reliable and continuous energy dissipation.In recent years,a new generation of friction connections has been developed that can provide self-centring behaviour(i.e.,the ability of the structure to return to its original position at the end of an earthquake).However,how these connections perform compared to a mass timber system with conventional timber connections is still unknown.Several studies in the literature have suggested that these connections can enhance the performance of mass timber structures.However,the seismic performance of such systems specifically in terms of base shear,response drifts and response accelerations-has not been thoroughly investigated.This paper examines various design aspects of conventional friction connections and self-centring friction connections,providing insights into their differences concerning key seismic performance indicators.It compares the seismic performance of mass timber buildings equipped with both solutions,highlighting their advantages and limitations and drawing conclusions based on the results.The key findings are that friction connections can provides a superior seismic performance for timber structures.However,that may need to be combined with a parallel system avoid residual displacements.展开更多
Urban food systems need remedies due to the global rise of food insecurity. Aquaponics has emerged as a circular agricultural mode to shape edible cities and features multiple food-water-energy (FWE) nexus. Here we pr...Urban food systems need remedies due to the global rise of food insecurity. Aquaponics has emerged as a circular agricultural mode to shape edible cities and features multiple food-water-energy (FWE) nexus. Here we provide a generalizable methodology and framework to capture the FWE nexus flows of aquaponics systems within city jurisdiction. To test the framework in Beijing, China, we offer an evidence-based tradeoff analysis of urban rooftop aquaponics (RA) and ground aquaponics (GA) from a FWE nexus perspective. The results show that urban aquaponics performs well in terms of water effi-ciency, which saves 42%-44% of water consumption than traditional greenhouses (TG) during the on-farm stage, but generates 2.3-3.0 times higher energy consumption and 1.1-2.1 times more carbon emis-sions. “From farm to table” aquaponics helps decrease 14%-44% of the energy, water, and carbon impacts during the off-farm stage. With diversely optimized strategies for renewable electricity, fish food, infras-tructure materials, and recycling actions, urban aquaponics can hopefully reduce energy consumption and carbon emissions by 80%-85% in the on-farm stage. In addition to greenhouse agriculture, utilizing a total of 155 km2 of RA and GA potential areas could increase urban vegetable self-sufficiency by 15%, and avoid 82% of the energy, water, and carbon footprints during upstream food supply chains beyond cities. Our findings could provide policy insights for urban stakeholders to create edible landscapes by integrating RA and GA, and thus direct resilient and sustainable agricultural transformation.展开更多
Objective:Existing research mainly relies on quantitative indicators.However,the subjectivity of qualitative indicators and the problem of their difficulty in quantification limit the comprehensiveness of evaluation.T...Objective:Existing research mainly relies on quantitative indicators.However,the subjectivity of qualitative indicators and the problem of their difficulty in quantification limit the comprehensiveness of evaluation.Therefore,a resilience supplier evaluation method based on the improved Z-number-ORESTE is proposed.Methods:Through the construction of a multi-tiered evaluation index system incorporating supplier capabilities,resources,strategic aspects,and resilience,Z-numbers are harnessed to signify qualitative indicators.An advanced Z-number distance metric is implemented,meticulously considering the impact exerted by the reliability portion of Z-numbers on information risk.The refined ORESTE ranking algorithm introduces the concepts of strong and weak orderings and capitalizes on the Borda assignment function.This approach facilitates a more precise appraisal of the performance of alternative solutions.By amalgamating the improved Z-number distance measurement approach with the ORESTE ranking methodology for multi-attribute decision-making,it becomes feasible to more efficiently assess the recovery capacities and adaptability of suppliers in the face of unforeseen incidents and risks.Results:Through the analysis of the comprehensive performance of the existing suppliers of a certain electronics enterprise,the results regarding the suppliers’recovery capabilities and adaptability when facing unexpected events and risks are obtained.Eventually,the suppliers that are in line with the long-term development strategy of the enterprise are selected.Conclusion:This evaluation system has verified its feasibility and effectiveness.Moreover,the system is capable of effectively identifying and selecting resilient suppliers,providing more reliable decision-making support for the enterprise’s supply chain management.展开更多
The Congolese population is organised into households, which are thus headed by a chief who ensures the social well-being, development and integration into working life of the individuals in his charge. This study exa...The Congolese population is organised into households, which are thus headed by a chief who ensures the social well-being, development and integration into working life of the individuals in his charge. This study examines the functional principles of new housing design as an instrument for transforming the (current) failing economy into a strong and resilient one. Accordingly, a literature review of the practice of designing and building housing in human settlements in the Congo revealed the state of the art on this subject. An analysis of the existing housing stock from a demographic, social and economic point of view made it possible to identify the most common household sizes and numbers, as well as the lifestyle processes that determine the need for developed space. To this end, the experimental method was used to propose configuration plans for various new types of dwelling. To this end, the study highlighted the link between people’s standard of living and the effectiveness of their involvement in the local economy. To achieve the aims of the National Development Plan (NDP), particular attention must be paid to solving the housing problem. The existing housing stock actively contributes to the problems associated with unemployment and insecurity. Functional principles for the design of new types of housing have been developed. Four model types are proposed in line with the demographic structure of the population, their socio-economic characteristics and their lifestyle.展开更多
Interlayer soil in railway substructures is characterized by a fine/coarse soil mixture.Considering that the resilient modulus M_(r) of the mixture is influenced by the microstructure of fine soil,it is worthwhile to ...Interlayer soil in railway substructures is characterized by a fine/coarse soil mixture.Considering that the resilient modulus M_(r) of the mixture is influenced by the microstructure of fine soil,it is worthwhile to investigate this aspect further.In this study,the microstructure of fines was explored by mercury intrusion porosimetry(MIP),and its influence on the M_(r) of the mixture was studied by multi-stage dynamic triaxial tests with varying deviator stress amplitudesσ_(d).The results showed a fine matrix fabric obtained at water contents of fine soil w_(f)=17.6%and 13.7%(>the plastic limit of fine soil w_(p)=12%),and a fine aggregate fabric identified at w_(f)=10.6%(<w_(p)=12%).Interestingly,the influences of w_(f) andσ_(d) on the M_(r) of the mixture were observed:the rise inσ_(d) contributed to a decline in M_(r) when w_(f)>w_(p) but to an increase in M_(r) when w_(f)<w_(p).It was concluded that,for the fine matrix fabric(w_(f)>w_(p)),increasingσ_(d) induced a reduction in M_(r),while for the fine aggregate fabric(w_(f)<w_(p)),increasingσ_(d) gave rise to the growth of M_(r).The distinct M_(r)-σ_(d) behaviors for these two fabrics were explained by the competing influences between soil hardening upon loading and soil rebounding upon unloading.For the fine matrix fabric(w_(f)>w_(p)),considering its high deformability,the rebounding effect on M_(r) outweighed the hardening effect,and thus a decline in M_(r) occurred with the growth ofσ_(d).Conversely,for the fine aggregate fabric(w_(f)<w_(p)),the rebounding effect on M_(r) was secondary compared with the hardening effect based on the consideration of its low deformability,and thus an increase in M_(r) was observed with risingσ_(d).展开更多
Frame and rocking wall(FRW)structures have excellent resilient performance during earthquakes.However,the concrete at interfacial corners of rocking walls(RWs)is easily crushed due to local extreme compression during ...Frame and rocking wall(FRW)structures have excellent resilient performance during earthquakes.However,the concrete at interfacial corners of rocking walls(RWs)is easily crushed due to local extreme compression during the rocking process.An innovative RW with a curved interface is proposed to prevent interfacial corners from producing local damage,enhancing its earthquake resilient performance(ERP).The precast wall panel with a curved interface is assembled into an integral self-centering hybrid rocking wall(SCRW)by two post-tensioned unbonded prestressed tendons.Moreover,two ordinary energy dissipation steel rebars and two shear reinforcements are arranged to increase the energy dissipation capacity and lateral resistance.Two SCRW specimens and one monolithic reinforced concrete(RC)shear wall(SW)were tested under pseudo-static loading to compare the ERPs of the proposed SCRW and the SW,focusing on studying the effect of the curved interface on the SCRW.The key resilient performance of rocking effects,failure modes,and hysteretic properties of the SCRW were explored.The results show that nonlinear deformations of the SCRW are concentrated along the interface between the SCRW and the foundation,avoiding damage within the SCRW.The restoring force provided by the prestressed tendons can effectively realize self-centering capacity with small residual deformation,and the resilient performance of the SCRW is better than that of monolithic SW.In addition,the curved interface of the SCRW makes the rocking center change and move inward,partially relieving the stress concentration and crush of concrete.The rocking range of the rocking center is about 41.4%of the width of the SCRW.展开更多
To evaluate the regularity of resilient modulus for hot-mix asphalt(HMA) under large temperature fluctuations,back propagation(BP) neural network technology was used to analyze the continuous change of HMA resilient m...To evaluate the regularity of resilient modulus for hot-mix asphalt(HMA) under large temperature fluctuations,back propagation(BP) neural network technology was used to analyze the continuous change of HMA resilient modulus.Firstly,based on the abundant data,the training model of HMA resilient modulus was established by using BP neural network technology.Subsequently,BP neural network prediction and regression analysis were performed,and the prediction model of HMA resilient modulus at different temperatures(-50℃ to 60℃) was obtained,which fully considered multi-factor and nonlinearity.Finally,the fitted theoretical model can be used to evaluate the HMA performance under the condition of large temperature fluctuations,and the rationality of theoretical model was verified by taking Harbin region as an example.It was found that the relationship between HMA resilient modulus and temperatures can be described by inverse tangent function.And the key parameters of theoretical model can be used to evaluate the continuous change characteristics of HMA resilient modulus with large temperature fluctuations.The results can further improve the HMA performance evaluation system and have certain theoretical value.展开更多
The renewal strategy guided by resilient security aims to enhance the community’s resistance and resilience to natural disasters and other emergency situations,ensuring that the community can quickly restore normal f...The renewal strategy guided by resilient security aims to enhance the community’s resistance and resilience to natural disasters and other emergency situations,ensuring that the community can quickly restore normal functions in the face of shocks.By enhancing the resilience of the community,residents’sense of security and satisfaction can be improved,while promoting the long-term stability and prosperity of the city.Using methods such as literature review,case analysis,and demand investigation,this paper investigates the needs and strategies for the renewal of urban old communities,and explores the demand analysis and solutions for the renewal of urban old communities under the guidance of resilient security.This paper aims to address the lack of resilience in old communities caused by outdated construction,aging infrastructure,and insufficient public services,as well as how to improve the adaptability,resilience,and transformation ability of communities through renovation and transformation.展开更多
This study aims to quantify the susceptibility of granular materials used in pavements to changes in moisture content and propose a correlation model to incorporate this susceptibility into seasonal analyses.The fines...This study aims to quantify the susceptibility of granular materials used in pavements to changes in moisture content and propose a correlation model to incorporate this susceptibility into seasonal analyses.The fines content and the percentage of fractured coarse aggregates were identified as direct indicators of the resilient modulus susceptibility to changes in water content.The results showed that the percentage of fractured coarse aggregates particles(FR)has a more significant impact on the resilient modulus(Er)of crushed granular materials used in pavement construction than the combined indicator of the fines content and sample volumetrics(nf).Crushed granular materials with a higher percentage of fractured coarse aggregates are relatively insensitive to changes in the degree of saturation,but become more sensitive as the fine fraction porosity decreases.An adjusted model was proposed based on the existing formulation,but considers a complex parameter to describe and adjust the sensitivity of base granular materials to variations in moisture content with respect to fabrication charac-teristics,fines content and volumetric properties.The model shows that the variation of Er values is below10%for fully crushed granular materials.However,it reaches approximately±12%for materials with 75%of crushed coarse aggregates andþ40%and-25%for materials with FR=50%.This model could help select good ag-gregates characteristics and adjust grain-size distribution for environments where significant moisture content variations can occur in the pavement system,such as in the Province of Quebec(Canada).As it is based on pa-rameters that can be easily determined or estimated,it also represents a valuable tool for detailed design and analysis that can consider material characteristics.展开更多
Communicating risks and mitigation benefits associated with natural hazards such as wind to the general public is challenging given the location-dependency of parameters and the complexity of the problem.Web tools pla...Communicating risks and mitigation benefits associated with natural hazards such as wind to the general public is challenging given the location-dependency of parameters and the complexity of the problem.Web tools play a crucial role in educating residents,decision-makers,and stakeholders regarding potential wind hazard losses to,for example,residential buildings.However,a notable gap exists on the practical incorporation of mitigation actions within these tools.This gap hampers the collective awareness and understanding among stakeholders,communities,and citizens regarding the tangible advantages of mitigation strategies in reducing wind-related risks.Furthermore,there exists a need to elucidate the functionality and objectives of these tools in a more accessible manner.This study aims to present and outline the wind risk and mitigation calculator tool(WRMCT)within the Hazardaware platform,which is an address-based risk assessment tool.This tool,developed for 196 counties in the Gulf of Mexico coastal area,facilitates users’education of potential risks and benefits associated with mitigation strategies.WRMCT enables users to access location-specific wind risk and interactively suggests potential mitigation actions along with economic savings to support informed decisions and residential risk reduction.WRMCT intends to enhance users’ability to make informed decisions,take proactive measures in mitigating wind hazards,and contribute to the development of resilient,residential communities.展开更多
At present,it is impossible to deny the existence of artificial intelligence in various areas of social life,understood as the simulation of expert human intelligence from computer processes that involve learning,reas...At present,it is impossible to deny the existence of artificial intelligence in various areas of social life,understood as the simulation of expert human intelligence from computer processes that involve learning,reasoning,and self-correction,its benefits to the medical field,in particular,are innumerable,but their incorporation into health systems has been gradual for many reasons.According to the above,this research analyzed artificial intelligence based on resilient leadership in the health sector,for which qualitative research was carried out with a documentary-bibliographic design with printed and electronic documentary sources with theoretical contributions fromÁvila,Mayer,and Quesada[1],Morgan[2],Villa[3],and Finol[4],among others.It is highlighted that resilient leadership has become a strategic factor in all organizations,since times of uncertainty and changes lead institutions to properly manage the incorporation of technologies specifically AI,achieving in this way that the centers and professionals in the field of health assume the needs of the contexts and the innovations of the same.It is concluded that resilient leadership will allow artificial intelligence in the health sector to generate higher levels of learning and adaptability to the transformations that are necessary,whose resistance would make its application difficult and in the long run it will leave behind professionals who refuse to assume the contributions of these innovative techniques in medical practice.展开更多
Any single Positioning,Navigation and Timing(PNT)technology has its vulnerability and limits,even the powerful Global Navigation Satellite System(GNSS)is no exception.To provide continuous and reliable PNT information...Any single Positioning,Navigation and Timing(PNT)technology has its vulnerability and limits,even the powerful Global Navigation Satellite System(GNSS)is no exception.To provide continuous and reliable PNT information to users,the theory and technique of comprehensive PNT information system and resilient PNT application system have attracted great attention from Chinese scholars.We try to summarize the progress and development of the synthetic PNT system,including the proposal,the modification and the improvement of the comprehensive PNT,as well as the follow-up resilient PNT.The frame of China’s comprehensive PNT system consisted of comprehensive PNT infrastructure and comprehensive PNT application system is initially described;the achievements on some main PNT technologies are introduced;the conceptual models of resilient PNT are given;besides,existing researches on resilient function models and stochastic models are summarized according to different user scenarios.展开更多
Scenario planning is a powerful tool for cities to navigate uncertainties and mitigate the impacts of adverse scenarios by projecting future outcomes based on present-day decisions.This approach is becoming increasing...Scenario planning is a powerful tool for cities to navigate uncertainties and mitigate the impacts of adverse scenarios by projecting future outcomes based on present-day decisions.This approach is becoming increasingly important given the growing call for building resilient cities to face adverse future scenarios posed by emerging disruptive technologies and climate change.However,conventional scenario planning practices predominantly rely on expert knowledge and judgment,which may be limited in accounting for the complexity of future scenarios.Therefore,we explored the potential integration of artificial intelligence(AI)techniques to assist scenario planning practices.We synthesized related studies from various disciplines(e.g.,engineering,computer science,and urban planning)to identify the potential applications of AI in the three key components of scenario planning:plan generation,scenario generation,and plan evaluation.We then discuss the challenges and possible solutions for integrating AI into the scenario planning process and highlight the critical role of planning experts in this process.We conclude by outlining future research opportunities in this context.Ultimately,this study contributes to the advancement of scenario planning practices and aids the creation of more resilient cities that can thrive in an uncertain future.展开更多
To improve the resilience of a distribution system against extreme weather,a fuel-based distributed generator(DG)allocation model is proposed in this study.In this model,the DGs are placed at the planning stage.When a...To improve the resilience of a distribution system against extreme weather,a fuel-based distributed generator(DG)allocation model is proposed in this study.In this model,the DGs are placed at the planning stage.When an extreme event occurs,the controllable generators form temporary microgrids(MGs)to restore the load maximally.Simultaneously,a demand response program(DRP)mitigates the imbalance between the power supply and demand during extreme events.To cope with the fault uncertainty,a robust optimization(RO)method is applied to reduce the long-term investment and short-term operation costs.The optimization is formulated as a tri-level defenderattacker-defender(DAD)framework.At the first level,decision-makers work out the DG allocation scheme;at the second level,the attacker finds the optimal attack strategy with maximum damage;and at the third level,restoration measures,namely distribution network reconfiguration(DNR)and demand response are performed.The problem is solved by the nested column and constraint generation(NC&CG)method and the model is validated using an IEEE 33-node system.Case studies validate the effectiveness and superiority of the proposed model according to the enhanced resilience and reduced cost.展开更多
The community’s resilience in the face of natural hazards relies heavily on the rapid and efficient restoration of electric power networks,which plays a critical role in emergency response,economic recovery,and the f...The community’s resilience in the face of natural hazards relies heavily on the rapid and efficient restoration of electric power networks,which plays a critical role in emergency response,economic recovery,and the func-tionality of essential lifeline and social infrastructure systems.Leveraging the recent data revolution,the digital twin(DT)concept emerges as a promising tool to enhance the effectiveness of post-disaster recovery efforts.This paper introduces a novel framework for post-hurricane electric power restoration using a hybrid DT approach that combines physics-based and data-driven models by utilizing a dynamic Bayesian network.By capturing the complexities of power system dynamics and incorporating the road network’s influence,the framework offers a comprehensive methodology to guide real-time power restoration efforts in post-disaster scenarios.A discrete event simulation is conducted to demonstrate the proposed framework’s efficacy.The study showcases how the electric power restoration DT can be monitored and updated in real-time,reflecting changing conditions and facilitating adaptive decision-making.Furthermore,it demonstrates the framework’s flexibility to allow decision-makers to prioritize essential,residential,and business facilities and compare different restoration plans and their potential effect on the community.展开更多
Amidst a concerning surge in urban losses attributed to disasters,this research paper explores the intricate relationship between urban development,disaster mitigation,and resilience emphasizing the significance of ad...Amidst a concerning surge in urban losses attributed to disasters,this research paper explores the intricate relationship between urban development,disaster mitigation,and resilience emphasizing the significance of addressing disaster vulnerability in urban settings,where a substantial portion of the population faces risks stemming from high population density,limited resilience,and inadequate coping capabilities.The study advocates for the integration of disaster resilience principles into the Smart Cities Mission of India,placing particular emphasis on the necessity of developing infrastructure,establishing early warning systems,and fostering community engagement to bolster urban resilience.Furthermore,the paper draws comparisons and parallels between the components of smart cities,mitigation strategies,and disaster resilience,illuminating their interconnectedness and potential synergies.In conclusion,the study recommends the incorporation of essential network elements to establish a Smart Cities Mission that is resilient to disasters,ultimately aiming to safeguard urban communities from the adverse impacts of future calamities.展开更多
文摘Dear Editor,This letter deals with the stabilization of a resilient model predictive control(MPC)algorithm with a dynamic event-triggered mechanism subject to Denial-of-Service(Do S)attacks.Different from previous works,this letter is based on the designed threshold function to dynamically trigger and gives the upper bound conditions for intersampling intervals with attack and attack-free scenarios to converge.
文摘When a vehicle moves over a flexible pavement structure,it generates loading and unloading cycles that produce recoverable(resilient)and permanent(plastic)deformations in the granular base and subbase layers,which are made of unbound granular materials(UGMs).The primary parameter used to evaluate the resilient response of UGMs in pavements is the resilient modulus(MR).The MR is widely used in calculating stress-strain states for flexible pavement design and as a control parameter during the construction process.It is also employed to understand the progression of distresses,such as fatigue cracking and rutting.The main objective of this study was to conduct a literature review on the resilient behavior of UGMs.This manuscript presents and describes the MR and the factors that influence it.It also outlines the evolution of the mathematical equations most commonly used to estimate and predict this physical parameter.Conclusions and recommendations for future research are provided at the end of the article.Despite the large amount of research done on the subject,the resilient behavior of UGM has not yet been fully understood.This is since these materials are highly heterogeneous and show nonlinear-anisotropic behavior under different cyclic loading paths and water contents.Likewise,these materials undergo different behaviors depending on their macro and microscopic properties(gradation,density,porosity,texture,mineralogy,particle geometry and orientation,temperature,among others).On the other hand,the main limitation of the mathematical equations is that their parameters are difficult to determine experimentally and are not constants of the material(they are state variables that can change with multiple factors).Additionally,these equations do not consider the boundary conditions to which UGM in pavements are exposed.Moreover,they are obtained from repeated load triaxial(RLT)tests,which cannot simulate the three cyclic stress components(vertical,horizontal,and shear)to which UGMs are subjected in a pavement.In recent years,there has been an increase in studies evaluating the use of recycled aggregates and the effect of temperature(particularly at subzero temperatures),but more research is still needed to reach definitive conclusions.
文摘The International Textile Manufac-turers Federation(ITMF),has releasedthe results of its Global Textile IndustrySurvey(GTIS)for March 2025.Thissurvey,conducted regularly across allkey regions and segments of the textilevalue chain,revealed a complex pictureof a deteriorated business situation,cau-tious op timism,regional divergence,andongoing structural challenges.
文摘As Africa marks a decade since the adoption of Agenda 2063,its bold and ambitious seven aspirations have positioned the continent as a strong,united,resilient,and influential global player and partner.Reaffirming its Pan-Africanism and African renaissance plan,aspiration seven of Agenda 2063 underscores the importance of Africa’s unity and solidarity in the face of major challenges emanating from the changing nature of globalisation,climate change,and economic and political environment.
文摘The application of mass timber elements in different structures has gained publicity over the last few years,pri-marily due to climate change adaptation policies and net zero carbon targets.Timber is a renewable construction material that can outperform other building materials regarding environmental impact.However,when used in seismically active regions,its application has been limited due to the uncertainties on their seismic behaviour in respect with different design standards and limited ductility in conventional connections.Conventional timber connections typically suffer from stiffness and strength degradation under cyclic loads.Their repairability is also low due to permanent damage in the fasteners and the associated crushing in the wood fibres.The use of friction connections can be an efficient way to mitigate these issues.They offer many advantages as they are economical and yet provide a high level of reliable and continuous energy dissipation.In recent years,a new generation of friction connections has been developed that can provide self-centring behaviour(i.e.,the ability of the structure to return to its original position at the end of an earthquake).However,how these connections perform compared to a mass timber system with conventional timber connections is still unknown.Several studies in the literature have suggested that these connections can enhance the performance of mass timber structures.However,the seismic performance of such systems specifically in terms of base shear,response drifts and response accelerations-has not been thoroughly investigated.This paper examines various design aspects of conventional friction connections and self-centring friction connections,providing insights into their differences concerning key seismic performance indicators.It compares the seismic performance of mass timber buildings equipped with both solutions,highlighting their advantages and limitations and drawing conclusions based on the results.The key findings are that friction connections can provides a superior seismic performance for timber structures.However,that may need to be combined with a parallel system avoid residual displacements.
基金supported by the National Natural Science Foun-dation of China(72174028 and 52225902)the Strategic Research and Consulting Project of Chinese Academy of Engineer-ing(2024-XZ-47).
文摘Urban food systems need remedies due to the global rise of food insecurity. Aquaponics has emerged as a circular agricultural mode to shape edible cities and features multiple food-water-energy (FWE) nexus. Here we provide a generalizable methodology and framework to capture the FWE nexus flows of aquaponics systems within city jurisdiction. To test the framework in Beijing, China, we offer an evidence-based tradeoff analysis of urban rooftop aquaponics (RA) and ground aquaponics (GA) from a FWE nexus perspective. The results show that urban aquaponics performs well in terms of water effi-ciency, which saves 42%-44% of water consumption than traditional greenhouses (TG) during the on-farm stage, but generates 2.3-3.0 times higher energy consumption and 1.1-2.1 times more carbon emis-sions. “From farm to table” aquaponics helps decrease 14%-44% of the energy, water, and carbon impacts during the off-farm stage. With diversely optimized strategies for renewable electricity, fish food, infras-tructure materials, and recycling actions, urban aquaponics can hopefully reduce energy consumption and carbon emissions by 80%-85% in the on-farm stage. In addition to greenhouse agriculture, utilizing a total of 155 km2 of RA and GA potential areas could increase urban vegetable self-sufficiency by 15%, and avoid 82% of the energy, water, and carbon footprints during upstream food supply chains beyond cities. Our findings could provide policy insights for urban stakeholders to create edible landscapes by integrating RA and GA, and thus direct resilient and sustainable agricultural transformation.
文摘Objective:Existing research mainly relies on quantitative indicators.However,the subjectivity of qualitative indicators and the problem of their difficulty in quantification limit the comprehensiveness of evaluation.Therefore,a resilience supplier evaluation method based on the improved Z-number-ORESTE is proposed.Methods:Through the construction of a multi-tiered evaluation index system incorporating supplier capabilities,resources,strategic aspects,and resilience,Z-numbers are harnessed to signify qualitative indicators.An advanced Z-number distance metric is implemented,meticulously considering the impact exerted by the reliability portion of Z-numbers on information risk.The refined ORESTE ranking algorithm introduces the concepts of strong and weak orderings and capitalizes on the Borda assignment function.This approach facilitates a more precise appraisal of the performance of alternative solutions.By amalgamating the improved Z-number distance measurement approach with the ORESTE ranking methodology for multi-attribute decision-making,it becomes feasible to more efficiently assess the recovery capacities and adaptability of suppliers in the face of unforeseen incidents and risks.Results:Through the analysis of the comprehensive performance of the existing suppliers of a certain electronics enterprise,the results regarding the suppliers’recovery capabilities and adaptability when facing unexpected events and risks are obtained.Eventually,the suppliers that are in line with the long-term development strategy of the enterprise are selected.Conclusion:This evaluation system has verified its feasibility and effectiveness.Moreover,the system is capable of effectively identifying and selecting resilient suppliers,providing more reliable decision-making support for the enterprise’s supply chain management.
文摘The Congolese population is organised into households, which are thus headed by a chief who ensures the social well-being, development and integration into working life of the individuals in his charge. This study examines the functional principles of new housing design as an instrument for transforming the (current) failing economy into a strong and resilient one. Accordingly, a literature review of the practice of designing and building housing in human settlements in the Congo revealed the state of the art on this subject. An analysis of the existing housing stock from a demographic, social and economic point of view made it possible to identify the most common household sizes and numbers, as well as the lifestyle processes that determine the need for developed space. To this end, the experimental method was used to propose configuration plans for various new types of dwelling. To this end, the study highlighted the link between people’s standard of living and the effectiveness of their involvement in the local economy. To achieve the aims of the National Development Plan (NDP), particular attention must be paid to solving the housing problem. The existing housing stock actively contributes to the problems associated with unemployment and insecurity. Functional principles for the design of new types of housing have been developed. Four model types are proposed in line with the demographic structure of the population, their socio-economic characteristics and their lifestyle.
基金supported by the Jiangxi Provincial Natural Science Foundation of China(Nos.20224BAB214063,20224BAB214064,and 20232BAB204083)the National Natural Science Foundation of China(Nos.52208347 and 52208348)+1 种基金the China Postdoctoral Science Foundation(No.2023M731436)the Key Projects of Jiangxi Provincial Department of Water Resources(No.202426ZDKT01).
文摘Interlayer soil in railway substructures is characterized by a fine/coarse soil mixture.Considering that the resilient modulus M_(r) of the mixture is influenced by the microstructure of fine soil,it is worthwhile to investigate this aspect further.In this study,the microstructure of fines was explored by mercury intrusion porosimetry(MIP),and its influence on the M_(r) of the mixture was studied by multi-stage dynamic triaxial tests with varying deviator stress amplitudesσ_(d).The results showed a fine matrix fabric obtained at water contents of fine soil w_(f)=17.6%and 13.7%(>the plastic limit of fine soil w_(p)=12%),and a fine aggregate fabric identified at w_(f)=10.6%(<w_(p)=12%).Interestingly,the influences of w_(f) andσ_(d) on the M_(r) of the mixture were observed:the rise inσ_(d) contributed to a decline in M_(r) when w_(f)>w_(p) but to an increase in M_(r) when w_(f)<w_(p).It was concluded that,for the fine matrix fabric(w_(f)>w_(p)),increasingσ_(d) induced a reduction in M_(r),while for the fine aggregate fabric(w_(f)<w_(p)),increasingσ_(d) gave rise to the growth of M_(r).The distinct M_(r)-σ_(d) behaviors for these two fabrics were explained by the competing influences between soil hardening upon loading and soil rebounding upon unloading.For the fine matrix fabric(w_(f)>w_(p)),considering its high deformability,the rebounding effect on M_(r) outweighed the hardening effect,and thus a decline in M_(r) occurred with the growth ofσ_(d).Conversely,for the fine aggregate fabric(w_(f)<w_(p)),the rebounding effect on M_(r) was secondary compared with the hardening effect based on the consideration of its low deformability,and thus an increase in M_(r) was observed with risingσ_(d).
基金National Key Research and Development Program of China under Grant No.2018YFC0705602。
文摘Frame and rocking wall(FRW)structures have excellent resilient performance during earthquakes.However,the concrete at interfacial corners of rocking walls(RWs)is easily crushed due to local extreme compression during the rocking process.An innovative RW with a curved interface is proposed to prevent interfacial corners from producing local damage,enhancing its earthquake resilient performance(ERP).The precast wall panel with a curved interface is assembled into an integral self-centering hybrid rocking wall(SCRW)by two post-tensioned unbonded prestressed tendons.Moreover,two ordinary energy dissipation steel rebars and two shear reinforcements are arranged to increase the energy dissipation capacity and lateral resistance.Two SCRW specimens and one monolithic reinforced concrete(RC)shear wall(SW)were tested under pseudo-static loading to compare the ERPs of the proposed SCRW and the SW,focusing on studying the effect of the curved interface on the SCRW.The key resilient performance of rocking effects,failure modes,and hysteretic properties of the SCRW were explored.The results show that nonlinear deformations of the SCRW are concentrated along the interface between the SCRW and the foundation,avoiding damage within the SCRW.The restoring force provided by the prestressed tendons can effectively realize self-centering capacity with small residual deformation,and the resilient performance of the SCRW is better than that of monolithic SW.In addition,the curved interface of the SCRW makes the rocking center change and move inward,partially relieving the stress concentration and crush of concrete.The rocking range of the rocking center is about 41.4%of the width of the SCRW.
基金support from the projects of Science and Technology Project of Transportation Department of Heilongjiang Province (No. HJK2019B009)the Fundamental Research Funds for the Cornell University (No. 2572021AW10)the Ludong University to Introduce Talents Research Start-up Funding Project (No. 20240050)
文摘To evaluate the regularity of resilient modulus for hot-mix asphalt(HMA) under large temperature fluctuations,back propagation(BP) neural network technology was used to analyze the continuous change of HMA resilient modulus.Firstly,based on the abundant data,the training model of HMA resilient modulus was established by using BP neural network technology.Subsequently,BP neural network prediction and regression analysis were performed,and the prediction model of HMA resilient modulus at different temperatures(-50℃ to 60℃) was obtained,which fully considered multi-factor and nonlinearity.Finally,the fitted theoretical model can be used to evaluate the HMA performance under the condition of large temperature fluctuations,and the rationality of theoretical model was verified by taking Harbin region as an example.It was found that the relationship between HMA resilient modulus and temperatures can be described by inverse tangent function.And the key parameters of theoretical model can be used to evaluate the continuous change characteristics of HMA resilient modulus with large temperature fluctuations.The results can further improve the HMA performance evaluation system and have certain theoretical value.
基金Sponsored by College Student Innovation and Entrepreneurship Training Program in Beijing City(10805136024XN139-107)Young Teaching Master Project in Higher Education Institutions of Beijing City(108051360024XN114)High-quality Undergraduate Teaching Plans for Colleges and Universities in Beijing(108051360024XN094).
文摘The renewal strategy guided by resilient security aims to enhance the community’s resistance and resilience to natural disasters and other emergency situations,ensuring that the community can quickly restore normal functions in the face of shocks.By enhancing the resilience of the community,residents’sense of security and satisfaction can be improved,while promoting the long-term stability and prosperity of the city.Using methods such as literature review,case analysis,and demand investigation,this paper investigates the needs and strategies for the renewal of urban old communities,and explores the demand analysis and solutions for the renewal of urban old communities under the guidance of resilient security.This paper aims to address the lack of resilience in old communities caused by outdated construction,aging infrastructure,and insufficient public services,as well as how to improve the adaptability,resilience,and transformation ability of communities through renovation and transformation.
文摘This study aims to quantify the susceptibility of granular materials used in pavements to changes in moisture content and propose a correlation model to incorporate this susceptibility into seasonal analyses.The fines content and the percentage of fractured coarse aggregates were identified as direct indicators of the resilient modulus susceptibility to changes in water content.The results showed that the percentage of fractured coarse aggregates particles(FR)has a more significant impact on the resilient modulus(Er)of crushed granular materials used in pavement construction than the combined indicator of the fines content and sample volumetrics(nf).Crushed granular materials with a higher percentage of fractured coarse aggregates are relatively insensitive to changes in the degree of saturation,but become more sensitive as the fine fraction porosity decreases.An adjusted model was proposed based on the existing formulation,but considers a complex parameter to describe and adjust the sensitivity of base granular materials to variations in moisture content with respect to fabrication charac-teristics,fines content and volumetric properties.The model shows that the variation of Er values is below10%for fully crushed granular materials.However,it reaches approximately±12%for materials with 75%of crushed coarse aggregates andþ40%and-25%for materials with FR=50%.This model could help select good ag-gregates characteristics and adjust grain-size distribution for environments where significant moisture content variations can occur in the pavement system,such as in the Province of Quebec(Canada).As it is based on pa-rameters that can be easily determined or estimated,it also represents a valuable tool for detailed design and analysis that can consider material characteristics.
文摘Communicating risks and mitigation benefits associated with natural hazards such as wind to the general public is challenging given the location-dependency of parameters and the complexity of the problem.Web tools play a crucial role in educating residents,decision-makers,and stakeholders regarding potential wind hazard losses to,for example,residential buildings.However,a notable gap exists on the practical incorporation of mitigation actions within these tools.This gap hampers the collective awareness and understanding among stakeholders,communities,and citizens regarding the tangible advantages of mitigation strategies in reducing wind-related risks.Furthermore,there exists a need to elucidate the functionality and objectives of these tools in a more accessible manner.This study aims to present and outline the wind risk and mitigation calculator tool(WRMCT)within the Hazardaware platform,which is an address-based risk assessment tool.This tool,developed for 196 counties in the Gulf of Mexico coastal area,facilitates users’education of potential risks and benefits associated with mitigation strategies.WRMCT enables users to access location-specific wind risk and interactively suggests potential mitigation actions along with economic savings to support informed decisions and residential risk reduction.WRMCT intends to enhance users’ability to make informed decisions,take proactive measures in mitigating wind hazards,and contribute to the development of resilient,residential communities.
文摘At present,it is impossible to deny the existence of artificial intelligence in various areas of social life,understood as the simulation of expert human intelligence from computer processes that involve learning,reasoning,and self-correction,its benefits to the medical field,in particular,are innumerable,but their incorporation into health systems has been gradual for many reasons.According to the above,this research analyzed artificial intelligence based on resilient leadership in the health sector,for which qualitative research was carried out with a documentary-bibliographic design with printed and electronic documentary sources with theoretical contributions fromÁvila,Mayer,and Quesada[1],Morgan[2],Villa[3],and Finol[4],among others.It is highlighted that resilient leadership has become a strategic factor in all organizations,since times of uncertainty and changes lead institutions to properly manage the incorporation of technologies specifically AI,achieving in this way that the centers and professionals in the field of health assume the needs of the contexts and the innovations of the same.It is concluded that resilient leadership will allow artificial intelligence in the health sector to generate higher levels of learning and adaptability to the transformations that are necessary,whose resistance would make its application difficult and in the long run it will leave behind professionals who refuse to assume the contributions of these innovative techniques in medical practice.
基金Key Program of National Natural Science Foundation of China(No.41931076)Laoshan Laboratory(No.LSKJ202205101)+1 种基金National Key R&D Program of China(No.2020YFB0505800)National Natural Science Foundation of China for Young Scholar(No.41904042)。
文摘Any single Positioning,Navigation and Timing(PNT)technology has its vulnerability and limits,even the powerful Global Navigation Satellite System(GNSS)is no exception.To provide continuous and reliable PNT information to users,the theory and technique of comprehensive PNT information system and resilient PNT application system have attracted great attention from Chinese scholars.We try to summarize the progress and development of the synthetic PNT system,including the proposal,the modification and the improvement of the comprehensive PNT,as well as the follow-up resilient PNT.The frame of China’s comprehensive PNT system consisted of comprehensive PNT infrastructure and comprehensive PNT application system is initially described;the achievements on some main PNT technologies are introduced;the conceptual models of resilient PNT are given;besides,existing researches on resilient function models and stochastic models are summarized according to different user scenarios.
基金supported by the University Development Fund(UDF01003238)provided by the Chinese University of Hong Kong(Shenzhen)graduate school fellowship program at the University of Florida。
文摘Scenario planning is a powerful tool for cities to navigate uncertainties and mitigate the impacts of adverse scenarios by projecting future outcomes based on present-day decisions.This approach is becoming increasingly important given the growing call for building resilient cities to face adverse future scenarios posed by emerging disruptive technologies and climate change.However,conventional scenario planning practices predominantly rely on expert knowledge and judgment,which may be limited in accounting for the complexity of future scenarios.Therefore,we explored the potential integration of artificial intelligence(AI)techniques to assist scenario planning practices.We synthesized related studies from various disciplines(e.g.,engineering,computer science,and urban planning)to identify the potential applications of AI in the three key components of scenario planning:plan generation,scenario generation,and plan evaluation.We then discuss the challenges and possible solutions for integrating AI into the scenario planning process and highlight the critical role of planning experts in this process.We conclude by outlining future research opportunities in this context.Ultimately,this study contributes to the advancement of scenario planning practices and aids the creation of more resilient cities that can thrive in an uncertain future.
基金supported by the Technology Project of State Grid Jiangsu Electric Power Co.,Ltd.,China (J2022160,Research on Key Technologies of Distributed Power Dispatching Control for Resilience Improvement of Distribution Networks).
文摘To improve the resilience of a distribution system against extreme weather,a fuel-based distributed generator(DG)allocation model is proposed in this study.In this model,the DGs are placed at the planning stage.When an extreme event occurs,the controllable generators form temporary microgrids(MGs)to restore the load maximally.Simultaneously,a demand response program(DRP)mitigates the imbalance between the power supply and demand during extreme events.To cope with the fault uncertainty,a robust optimization(RO)method is applied to reduce the long-term investment and short-term operation costs.The optimization is formulated as a tri-level defenderattacker-defender(DAD)framework.At the first level,decision-makers work out the DG allocation scheme;at the second level,the attacker finds the optimal attack strategy with maximum damage;and at the third level,restoration measures,namely distribution network reconfiguration(DNR)and demand response are performed.The problem is solved by the nested column and constraint generation(NC&CG)method and the model is validated using an IEEE 33-node system.Case studies validate the effectiveness and superiority of the proposed model according to the enhanced resilience and reduced cost.
基金Financial support for this work was provided by the US National Science Foundation(NSF)under Award Number 2052930.
文摘The community’s resilience in the face of natural hazards relies heavily on the rapid and efficient restoration of electric power networks,which plays a critical role in emergency response,economic recovery,and the func-tionality of essential lifeline and social infrastructure systems.Leveraging the recent data revolution,the digital twin(DT)concept emerges as a promising tool to enhance the effectiveness of post-disaster recovery efforts.This paper introduces a novel framework for post-hurricane electric power restoration using a hybrid DT approach that combines physics-based and data-driven models by utilizing a dynamic Bayesian network.By capturing the complexities of power system dynamics and incorporating the road network’s influence,the framework offers a comprehensive methodology to guide real-time power restoration efforts in post-disaster scenarios.A discrete event simulation is conducted to demonstrate the proposed framework’s efficacy.The study showcases how the electric power restoration DT can be monitored and updated in real-time,reflecting changing conditions and facilitating adaptive decision-making.Furthermore,it demonstrates the framework’s flexibility to allow decision-makers to prioritize essential,residential,and business facilities and compare different restoration plans and their potential effect on the community.
基金funding agency in the public,commercial,or not-for-profit sectors.
文摘Amidst a concerning surge in urban losses attributed to disasters,this research paper explores the intricate relationship between urban development,disaster mitigation,and resilience emphasizing the significance of addressing disaster vulnerability in urban settings,where a substantial portion of the population faces risks stemming from high population density,limited resilience,and inadequate coping capabilities.The study advocates for the integration of disaster resilience principles into the Smart Cities Mission of India,placing particular emphasis on the necessity of developing infrastructure,establishing early warning systems,and fostering community engagement to bolster urban resilience.Furthermore,the paper draws comparisons and parallels between the components of smart cities,mitigation strategies,and disaster resilience,illuminating their interconnectedness and potential synergies.In conclusion,the study recommends the incorporation of essential network elements to establish a Smart Cities Mission that is resilient to disasters,ultimately aiming to safeguard urban communities from the adverse impacts of future calamities.
