Three-dimensional(3D)urban structures play a critical role in informing climate mitigation strategies aimed at the built environment and facilitating sustainable urban development.Regrettably,there exists a significan...Three-dimensional(3D)urban structures play a critical role in informing climate mitigation strategies aimed at the built environment and facilitating sustainable urban development.Regrettably,there exists a significant gap in detailed and consistent data on 3D building space structures with global coverage due to the challenges inherent in the data collection and model calibration processes.In this study,we constructed a global urban structure(GUS-3D)dataset,including building volume,height,and footprint information,at a 500 m spatial resolution using extensive satellite observation products and numerous reference building samples.Our analysis indicated that the total volume of buildings worldwide in2015 exceeded 1×10^(12)m^(3).Over the 1985 to 2015 period,we observed a slight increase in the magnitude of 3D building volume growth(i.e.,it increased from 166.02 km3 during the 1985–2000 period to 175.08km3 during the 2000–2015 period),while the expansion magnitudes of the two-dimensional(2D)building footprint(22.51×10^(3) vs 13.29×10^(3)km^(2))and urban extent(157×10^(3) vs 133.8×10^(3)km^(2))notably decreased.This trend highlights the significant increase in intensive vertical utilization of urban land.Furthermore,we identified significant heterogeneity in building space provision and inequality across cities worldwide.This inequality is particularly pronounced in many populous Asian cities,which has been overlooked in previous studies on economic inequality.The GUS-3D dataset shows great potential to deepen our understanding of the urban environment and creates new horizons for numerous 3D urban studies.展开更多
To exchange experiences and progress in standardization capacity building at home and abroad,the sub-forum on capacity building and creating leadership in standardization was held on July 9.The sub-forum was hosted by...To exchange experiences and progress in standardization capacity building at home and abroad,the sub-forum on capacity building and creating leadership in standardization was held on July 9.The sub-forum was hosted by the Qingdao Municipal People’s Government and co-organized by the International Standardization Training Base(Qingdao),Qingdao University,International Standardization Outstanding Contribution Foundation,and Shandong National Standards Center of Technical Evaluation,which was expected to inject new vitality into the industrial development and provide new ideas for improving the talent cultivation system.展开更多
Spatial seismic vulnerability assessments are primally conducted at the community and grid level,using heuristic and empirical approaches.Building-based spatial statistical vulnerability models are rare because of dat...Spatial seismic vulnerability assessments are primally conducted at the community and grid level,using heuristic and empirical approaches.Building-based spatial statistical vulnerability models are rare because of data limitations.Generating open-access spatial inventories that document seismic damage and building attributes and test their effectiveness in assessing damage would promote the advancement of spatial vulnerability assessment.The 2022 Mw 6.7 Luding earthquake in the western Sichuan Province of China provides an opportunity to validate this approach.The local government urgently dispatched experts to survey building damage,marking all buildings with damage class stickers.In this work,we sampled 2889 buildings as GPS points and documented the damage classes and building attributes,including structure type,number of floors,and age.A polygon-based digital inventory was generated by digitizing the rooftops of the sampled buildings and importing the attributes.Statistical regressions were created by plotting damage against shaking intensity and PGA,and Random Forest modeling was carried out considering not only buildings and seismic parameters but also environmental factors.The result indicates that statistical regressions have notable uncertainties,and the Random Forest model shows a≥79%accuracy.Topographical factors showed notable importance in the Random Forest modeling.This work provides an open-access seismic building damage inventory and demonstrates its potential for damage prediction and vulnerability assessment.展开更多
The application of ecological building materials in architectural design is in line with the concept of green development and can promote the transformation and upgrading of the construction industry.Against this back...The application of ecological building materials in architectural design is in line with the concept of green development and can promote the transformation and upgrading of the construction industry.Against this background,this article systematically explains the definition,characteristics,and classification of ecological building materials,and discusses the selection criteria and application scenarios of ecological building materials.On the basis of the previous analysis,the article proposes that the application of ecological building materials in architectural design needs to do a good job in the integration of materials,system expression,digital synergy,and total life cycle management.Thus,it expands the application scenarios of ecological building materials in architectural design and helps the industry to develop sustainably.展开更多
Construction engineering plays a vital role in urban development,especially as the pace of modern progress continues to accelerate.The widespread use of energy-saving and green environmental protection building materi...Construction engineering plays a vital role in urban development,especially as the pace of modern progress continues to accelerate.The widespread use of energy-saving and green environmental protection building materials in this field not only brings convenience to daily life but also promotes the scientific,sustainable,and stable development of construction projects.These materials significantly extend the service life of buildings while supporting environmental protection efforts.This paper explores the practical application value of energy-saving and environmentally friendly building materials in construction engineering,outlines the key application principles,and analyzes their specific types and usage requirements.The aim is to provide a valuable reference for future research and practical implementation.展开更多
Against the background of energy conservation and emission reduction,green construction and intelligent buildings have become an inevitable trend in the transformation of the construction industry.They effectively red...Against the background of energy conservation and emission reduction,green construction and intelligent buildings have become an inevitable trend in the transformation of the construction industry.They effectively reduce environmental damage and pollution caused by construction projects during the construction process,improve the comfort and health of buildings,and are conducive to promoting the sustainable development of China’s construction industry.This paper analyzes the relationship between green construction and intelligent buildings,examines the dilemmas faced by the integrated development of green construction and intelligent buildings,and proposes measures such as optimizing architectural design schemes,advancing technological innovation,improving energy utilization efficiency,actively applying BIM technology,and strengthening building lifecycle management,so as to promote the sustainable development of China’s construction industry.展开更多
https://www. sciencedirect. com/journal/energy-and-buildings/vol/346/suppl/C Volume346, 1November2025[OA](1)Towards energy flexible commercial buildings:Machine learning approaches,implementation aspects,and future re...https://www. sciencedirect. com/journal/energy-and-buildings/vol/346/suppl/C Volume346, 1November2025[OA](1)Towards energy flexible commercial buildings:Machine learning approaches,implementation aspects,and future research directions by M. M. A. L. N. Maheepala,Hangxin Li,Dilan Robert,et al,Article116170Abstract:Commercial buildings encounter considerable challenges in predicting and managing energy flexibility,arising from the complexity of their energy systems and the interdependencies among system components and building thermal mass. Nonetheless,the emergence of “smarter buildings” creates significant opportunities for applying machine learning(ML)techniques in energy flexibility.展开更多
Preserving the spirit of a historical environment does not necessarily mean a repetition of its language generated by nostalgia.The aim of this article is to present the way I was trying to form a real dialogue betwee...Preserving the spirit of a historical environment does not necessarily mean a repetition of its language generated by nostalgia.The aim of this article is to present the way I was trying to form a real dialogue between a new modern residential building and the existing historic urban district of the city of Tel Aviv,neither by reconstructing the past nor dissociating from it by enforcing a completely new order.A district that already provided a unique interface between Eastern and Western architecture,being a micro-document of the architectural history of Tel Aviv from 1920 to 1930.展开更多
The spraying robot for building exterior walls is an innovative technology in the field of modern construction.This paper discusses its design structure,application cases,technical benefits,and industrial impacts.Rese...The spraying robot for building exterior walls is an innovative technology in the field of modern construction.This paper discusses its design structure,application cases,technical benefits,and industrial impacts.Research shows that this type of robot improves the efficiency and quality of exterior wall construction.Its intelligent design enhances operation accuracy and safety,reduces costs and risks,and strengthens application ability in complex environments,showing broad application prospects and symbolizing the development trend of intelligence and automation in the industry.In the future,it is necessary to strengthen its intelligence and adaptive ability further,explore multi-function design,promote automation technology,and ensure construction safety and economic benefits.展开更多
The aim of this article is to explore potential directions for the development of artificial intelligence(AI).It points out that,while current AI can handle the statistical properties of complex systems,it has difficu...The aim of this article is to explore potential directions for the development of artificial intelligence(AI).It points out that,while current AI can handle the statistical properties of complex systems,it has difficulty effectively processing and fully representing their spatiotemporal complexity patterns.The article also discusses a potential path of AI development in the engineering domain.Based on the existing understanding of the principles of multilevel com-plexity,this article suggests that consistency among the logical structures of datasets,AI models,model-building software,and hardware will be an important AI development direction and is worthy of careful consideration.展开更多
https://www.sciencedirect.com/journal/energy-and-buildings/vol/332/suppl/C Volume 332,1 April 2025[OA](1) Al-driven design optimization for sustainable buildings:A systematic review by Piragash Manmatharasan,Girma Bit...https://www.sciencedirect.com/journal/energy-and-buildings/vol/332/suppl/C Volume 332,1 April 2025[OA](1) Al-driven design optimization for sustainable buildings:A systematic review by Piragash Manmatharasan,Girma Bitsuamlak,Katarina Grolinger,Article 115440Abstract:Buildings are major contributors to global carbon emissions,accounting for a substantial portion of energy consumption and environmental impact.This situation presents a critical opportunity for energy conservation through strategic interventions in both building design and operational phases.展开更多
A novel Additive Manufacturing(AM)-driven concurrent design strategy based on the beam characterization model considering strength constraints is proposed.The lattice topology,radius size,Building Orientation(BO),and ...A novel Additive Manufacturing(AM)-driven concurrent design strategy based on the beam characterization model considering strength constraints is proposed.The lattice topology,radius size,Building Orientation(BO),and structural yield strength can be simultaneously adjusted by integrating the overall process-structure-performance relationship of the AM process into the optimization.Specifically,the transverse isotropic material model is adopted to describe the material properties induced by the layer-by-layer manner of additive manufacturing.To bolster lattice strength performance,the stress constraints and ratio constraints of lattice struts are employed.The Tsai-Wu yield criterion is implemented to characterize the lattice strut's strength,while the P-norm method streamlines the handling of multiple constraints,minimizing computational overhead.Moreover,the gradient-based optimization model is established,where both the individual struts diameters and BO can be designed,and the buckling-prone spatial struts are strategically eliminated to improve the lattice strength further.Furthermore,several typical structures are optimized to verify the effectiveness of the proposed method.The optimized results are quite encouraging since the heterogeneous lattice structures with optimized BO obtained by the strength-based concurrent method show a remarkably improved performance compared to traditional designs.展开更多
The Internet of Things(IoT)technology provides new impetus for the development of building intelligence.This research focuses on the intelligent design and management of buildings based on IoT engineering.It expounds ...The Internet of Things(IoT)technology provides new impetus for the development of building intelligence.This research focuses on the intelligent design and management of buildings based on IoT engineering.It expounds on the system design principles such as sensor technology,communication network technology,and data storage and analysis,and analyzes the key points of design,including design requirement analysis,equipment layout,and system integration.Through specific cases,it demonstrates the application practice of the system in buildings,and presents the application effect of intelligent system management with multi-parameter values,providing theoretical and practical references for the development of building intelligence and helping to achieve efficient,energy-saving,and safe building operation.展开更多
https://doi. org/10.1016/j. enbuild. 2025.115843Volume 343,15 September 2025(1) Archetypes-based calibration for urban building energy modelling by Moa Mattsson,Itai Danielski,Thomas Olofsson,et al,Abstract:Reducing e...https://doi. org/10.1016/j. enbuild. 2025.115843Volume 343,15 September 2025(1) Archetypes-based calibration for urban building energy modelling by Moa Mattsson,Itai Danielski,Thomas Olofsson,et al,Abstract:Reducing energy use w ithin the building sector is vital to create sustainable cities and mitigate global w arming. Urban building energy modelling (UBEM) is useful to evaluate energy demand and renovation potential in districts.展开更多
The Central Conference on Work Related to Neighboring Countries held on April 8–9,2025,highlighted the importance of China's neighborhood as“a vital foundation for achieving development and prosperity,a key fron...The Central Conference on Work Related to Neighboring Countries held on April 8–9,2025,highlighted the importance of China's neighborhood as“a vital foundation for achieving development and prosperity,a key front for safeguarding national security,a priority area in managing overall diplomacy,and a crucial link in promoting the building of a community with a shared future for mankind.”展开更多
Chinese companies are transitioning from“manufacturing export”to brand export and from“value-for-money competition”to“value competition”,continuously expanding their presence in Russian-speaking markets.
Accurately identifying building distribution from remote sensing images with complex background information is challenging.The emergence of diffusion models has prompted the innovative idea of employing the reverse de...Accurately identifying building distribution from remote sensing images with complex background information is challenging.The emergence of diffusion models has prompted the innovative idea of employing the reverse denoising process to distill building distribution from these complex backgrounds.Building on this concept,we propose a novel framework,building extraction diffusion model(BEDiff),which meticulously refines the extraction of building footprints from remote sensing images in a stepwise fashion.Our approach begins with the design of booster guidance,a mechanism that extracts structural and semantic features from remote sensing images to serve as priors,thereby providing targeted guidance for the diffusion process.Additionally,we introduce a cross-feature fusion module(CFM)that bridges the semantic gap between different types of features,facilitating the integration of the attributes extracted by booster guidance into the diffusion process more effectively.Our proposed BEDiff marks the first application of diffusion models to the task of building extraction.Empirical evidence from extensive experiments on the Beijing building dataset demonstrates the superior performance of BEDiff,affirming its effectiveness and potential for enhancing the accuracy of building extraction in complex urban landscapes.展开更多
Objective:Sick building syndrome(SBS)is a significant health concern among healthcare workers,exacerbated by prolonged exposure to indoor air pollutants and inadequate environmental conditions.Our study aims to explor...Objective:Sick building syndrome(SBS)is a significant health concern among healthcare workers,exacerbated by prolonged exposure to indoor air pollutants and inadequate environmental conditions.Our study aims to explore the prevalence of SBS and its association with indoor air quality and workplace environments among healthcare workers in five hospital departments in Nakhon Si Thammarat,Thailand.Methods:Indoor air quality was assessed over eight days,measuring microbial concentrations(bacteria,fungi),temperature,humidity,and carbon dioxide levels.Demographic data and SBS symptoms were also collected from healthcare workers.Results:The findings revealed that fungal concentrations were highest in the pharmacy(51.95±37.59)colony forming units(CFU)per m^(3),while bacterial concentrations peaked in the outpatient department(265.06±49.46)CFU/m3.The study identified Staphylococcus hominis and Micrococcus luteus as the dominant microbial species in the air environment.A moderate positive correlation was found between bacterial concentrations and humidity(r=0.43,P=0.046).SBS symptoms were prevalent among healthcare workers,with 75.58%reporting issues like dry eyes and fatigue.The total complaint score for SBS correlated positively with indoor pollutant levels,especially fungi(r=0.38,P<0.001).Frequent cleaning reduced SBS complaints significantly(P<0.001).Conclusion:Hospital departments with more frequent cleaning practices exhibited lower SBS complaints,highlighting the importance of cleaning frequency in reducing SBS-related issues.These findings provide actionable insights for improving workplace safety and indoor air quality in healthcare settings.展开更多
This work’s aim is to participate in local materials (raw or fiber improved), which can be used in sustainable and accessible buildings to every Senegalese. To do this, studied materials are respectively collected fr...This work’s aim is to participate in local materials (raw or fiber improved), which can be used in sustainable and accessible buildings to every Senegalese. To do this, studied materials are respectively collected from a laterite clay pit in Ndouloumadjie Dembe (Matam, Northern Senegal) and another from a termite mound in Tattaguine (Fatick, Central Senegal). These samples are first subjected to Geotechnical identification tests. Mud bricks are then made with raw or sifted millet involucre improved to 1%, 2%, and 3% at 5 mm sieve samples. These briquettes are subjected to compression tests and thermal evaluations. Lagrange and Newton methods of numeric modelling are used to test the whole mixture points between 1% and 3% millet involucre for a better correlation between mechanical and thermal parameters. The results show that in Matam, as well as in Tattaguine, these muds, raw or improved, are of good thermomechanical quality when they are used in bricks making. And the thermomechanical coupling quality reaches a maximum situated at 2.125% for Ndouloumadjie and 2.05% for Tattaguine. These briquettes’ building quality depends on the mud content used in iron, aluminum, silica and clay. Thus, same natural materials can be used in the establishment of habitats according to their geotechnical, chemical, mechanical and thermal characteristics.展开更多
基金supported by the National Science Fund for Distinguished Young Scholars(42225107)the National Natural Science Foundation of China(42001326,42371414,42171409,and 42271419)+1 种基金the Natural Science Foundation of Guangdong Province of China(2022A1515012207)the Basic and Applied Basic Research Project of Guangzhou Science and Technology Planning(202201011539)。
文摘Three-dimensional(3D)urban structures play a critical role in informing climate mitigation strategies aimed at the built environment and facilitating sustainable urban development.Regrettably,there exists a significant gap in detailed and consistent data on 3D building space structures with global coverage due to the challenges inherent in the data collection and model calibration processes.In this study,we constructed a global urban structure(GUS-3D)dataset,including building volume,height,and footprint information,at a 500 m spatial resolution using extensive satellite observation products and numerous reference building samples.Our analysis indicated that the total volume of buildings worldwide in2015 exceeded 1×10^(12)m^(3).Over the 1985 to 2015 period,we observed a slight increase in the magnitude of 3D building volume growth(i.e.,it increased from 166.02 km3 during the 1985–2000 period to 175.08km3 during the 2000–2015 period),while the expansion magnitudes of the two-dimensional(2D)building footprint(22.51×10^(3) vs 13.29×10^(3)km^(2))and urban extent(157×10^(3) vs 133.8×10^(3)km^(2))notably decreased.This trend highlights the significant increase in intensive vertical utilization of urban land.Furthermore,we identified significant heterogeneity in building space provision and inequality across cities worldwide.This inequality is particularly pronounced in many populous Asian cities,which has been overlooked in previous studies on economic inequality.The GUS-3D dataset shows great potential to deepen our understanding of the urban environment and creates new horizons for numerous 3D urban studies.
文摘To exchange experiences and progress in standardization capacity building at home and abroad,the sub-forum on capacity building and creating leadership in standardization was held on July 9.The sub-forum was hosted by the Qingdao Municipal People’s Government and co-organized by the International Standardization Training Base(Qingdao),Qingdao University,International Standardization Outstanding Contribution Foundation,and Shandong National Standards Center of Technical Evaluation,which was expected to inject new vitality into the industrial development and provide new ideas for improving the talent cultivation system.
基金supported by Mission No. 9 "Geological Environment and Hazards" (2019QZKK0900) of "The Second Tibetan Plateau Scientific Expedition and Research" projectNational Natural Science Foundation of China (No.42101087)
文摘Spatial seismic vulnerability assessments are primally conducted at the community and grid level,using heuristic and empirical approaches.Building-based spatial statistical vulnerability models are rare because of data limitations.Generating open-access spatial inventories that document seismic damage and building attributes and test their effectiveness in assessing damage would promote the advancement of spatial vulnerability assessment.The 2022 Mw 6.7 Luding earthquake in the western Sichuan Province of China provides an opportunity to validate this approach.The local government urgently dispatched experts to survey building damage,marking all buildings with damage class stickers.In this work,we sampled 2889 buildings as GPS points and documented the damage classes and building attributes,including structure type,number of floors,and age.A polygon-based digital inventory was generated by digitizing the rooftops of the sampled buildings and importing the attributes.Statistical regressions were created by plotting damage against shaking intensity and PGA,and Random Forest modeling was carried out considering not only buildings and seismic parameters but also environmental factors.The result indicates that statistical regressions have notable uncertainties,and the Random Forest model shows a≥79%accuracy.Topographical factors showed notable importance in the Random Forest modeling.This work provides an open-access seismic building damage inventory and demonstrates its potential for damage prediction and vulnerability assessment.
文摘The application of ecological building materials in architectural design is in line with the concept of green development and can promote the transformation and upgrading of the construction industry.Against this background,this article systematically explains the definition,characteristics,and classification of ecological building materials,and discusses the selection criteria and application scenarios of ecological building materials.On the basis of the previous analysis,the article proposes that the application of ecological building materials in architectural design needs to do a good job in the integration of materials,system expression,digital synergy,and total life cycle management.Thus,it expands the application scenarios of ecological building materials in architectural design and helps the industry to develop sustainably.
文摘Construction engineering plays a vital role in urban development,especially as the pace of modern progress continues to accelerate.The widespread use of energy-saving and green environmental protection building materials in this field not only brings convenience to daily life but also promotes the scientific,sustainable,and stable development of construction projects.These materials significantly extend the service life of buildings while supporting environmental protection efforts.This paper explores the practical application value of energy-saving and environmentally friendly building materials in construction engineering,outlines the key application principles,and analyzes their specific types and usage requirements.The aim is to provide a valuable reference for future research and practical implementation.
文摘Against the background of energy conservation and emission reduction,green construction and intelligent buildings have become an inevitable trend in the transformation of the construction industry.They effectively reduce environmental damage and pollution caused by construction projects during the construction process,improve the comfort and health of buildings,and are conducive to promoting the sustainable development of China’s construction industry.This paper analyzes the relationship between green construction and intelligent buildings,examines the dilemmas faced by the integrated development of green construction and intelligent buildings,and proposes measures such as optimizing architectural design schemes,advancing technological innovation,improving energy utilization efficiency,actively applying BIM technology,and strengthening building lifecycle management,so as to promote the sustainable development of China’s construction industry.
文摘https://www. sciencedirect. com/journal/energy-and-buildings/vol/346/suppl/C Volume346, 1November2025[OA](1)Towards energy flexible commercial buildings:Machine learning approaches,implementation aspects,and future research directions by M. M. A. L. N. Maheepala,Hangxin Li,Dilan Robert,et al,Article116170Abstract:Commercial buildings encounter considerable challenges in predicting and managing energy flexibility,arising from the complexity of their energy systems and the interdependencies among system components and building thermal mass. Nonetheless,the emergence of “smarter buildings” creates significant opportunities for applying machine learning(ML)techniques in energy flexibility.
文摘Preserving the spirit of a historical environment does not necessarily mean a repetition of its language generated by nostalgia.The aim of this article is to present the way I was trying to form a real dialogue between a new modern residential building and the existing historic urban district of the city of Tel Aviv,neither by reconstructing the past nor dissociating from it by enforcing a completely new order.A district that already provided a unique interface between Eastern and Western architecture,being a micro-document of the architectural history of Tel Aviv from 1920 to 1930.
基金Design and Research of Intelligent Construction Device for the“Water-in-Sand”Process of High-Rise Building Exterior Wall(Project No.2022KQNCX189)。
文摘The spraying robot for building exterior walls is an innovative technology in the field of modern construction.This paper discusses its design structure,application cases,technical benefits,and industrial impacts.Research shows that this type of robot improves the efficiency and quality of exterior wall construction.Its intelligent design enhances operation accuracy and safety,reduces costs and risks,and strengthens application ability in complex environments,showing broad application prospects and symbolizing the development trend of intelligence and automation in the industry.In the future,it is necessary to strengthen its intelligence and adaptive ability further,explore multi-function design,promote automation technology,and ensure construction safety and economic benefits.
文摘The aim of this article is to explore potential directions for the development of artificial intelligence(AI).It points out that,while current AI can handle the statistical properties of complex systems,it has difficulty effectively processing and fully representing their spatiotemporal complexity patterns.The article also discusses a potential path of AI development in the engineering domain.Based on the existing understanding of the principles of multilevel com-plexity,this article suggests that consistency among the logical structures of datasets,AI models,model-building software,and hardware will be an important AI development direction and is worthy of careful consideration.
文摘https://www.sciencedirect.com/journal/energy-and-buildings/vol/332/suppl/C Volume 332,1 April 2025[OA](1) Al-driven design optimization for sustainable buildings:A systematic review by Piragash Manmatharasan,Girma Bitsuamlak,Katarina Grolinger,Article 115440Abstract:Buildings are major contributors to global carbon emissions,accounting for a substantial portion of energy consumption and environmental impact.This situation presents a critical opportunity for energy conservation through strategic interventions in both building design and operational phases.
基金co-supported by National Key R&D Program of China(No.2022YFB4602003)Key Project of National Natural Science Foundation of China(No.12032018)+2 种基金Guangdong Basic and Applied Basic Research Foundation(No.2022A1515110489)National Natural Science Foundation of China-China Academy of General Technology Joint Fund for Basic Research(No.52375380)National Key Research and Development Program of China(No.2022YFB3402200)。
文摘A novel Additive Manufacturing(AM)-driven concurrent design strategy based on the beam characterization model considering strength constraints is proposed.The lattice topology,radius size,Building Orientation(BO),and structural yield strength can be simultaneously adjusted by integrating the overall process-structure-performance relationship of the AM process into the optimization.Specifically,the transverse isotropic material model is adopted to describe the material properties induced by the layer-by-layer manner of additive manufacturing.To bolster lattice strength performance,the stress constraints and ratio constraints of lattice struts are employed.The Tsai-Wu yield criterion is implemented to characterize the lattice strut's strength,while the P-norm method streamlines the handling of multiple constraints,minimizing computational overhead.Moreover,the gradient-based optimization model is established,where both the individual struts diameters and BO can be designed,and the buckling-prone spatial struts are strategically eliminated to improve the lattice strength further.Furthermore,several typical structures are optimized to verify the effectiveness of the proposed method.The optimized results are quite encouraging since the heterogeneous lattice structures with optimized BO obtained by the strength-based concurrent method show a remarkably improved performance compared to traditional designs.
文摘The Internet of Things(IoT)technology provides new impetus for the development of building intelligence.This research focuses on the intelligent design and management of buildings based on IoT engineering.It expounds on the system design principles such as sensor technology,communication network technology,and data storage and analysis,and analyzes the key points of design,including design requirement analysis,equipment layout,and system integration.Through specific cases,it demonstrates the application practice of the system in buildings,and presents the application effect of intelligent system management with multi-parameter values,providing theoretical and practical references for the development of building intelligence and helping to achieve efficient,energy-saving,and safe building operation.
文摘https://doi. org/10.1016/j. enbuild. 2025.115843Volume 343,15 September 2025(1) Archetypes-based calibration for urban building energy modelling by Moa Mattsson,Itai Danielski,Thomas Olofsson,et al,Abstract:Reducing energy use w ithin the building sector is vital to create sustainable cities and mitigate global w arming. Urban building energy modelling (UBEM) is useful to evaluate energy demand and renovation potential in districts.
文摘The Central Conference on Work Related to Neighboring Countries held on April 8–9,2025,highlighted the importance of China's neighborhood as“a vital foundation for achieving development and prosperity,a key front for safeguarding national security,a priority area in managing overall diplomacy,and a crucial link in promoting the building of a community with a shared future for mankind.”
文摘Chinese companies are transitioning from“manufacturing export”to brand export and from“value-for-money competition”to“value competition”,continuously expanding their presence in Russian-speaking markets.
基金supported by the National Natural Science Foundation of China(Nos.61906168,62202429 and 62272267)the Zhejiang Provincial Natural Science Foundation of China(No.LY23F020023)the Construction of Hubei Provincial Key Laboratory for Intelligent Visual Monitoring of Hydropower Projects(No.2022SDSJ01)。
文摘Accurately identifying building distribution from remote sensing images with complex background information is challenging.The emergence of diffusion models has prompted the innovative idea of employing the reverse denoising process to distill building distribution from these complex backgrounds.Building on this concept,we propose a novel framework,building extraction diffusion model(BEDiff),which meticulously refines the extraction of building footprints from remote sensing images in a stepwise fashion.Our approach begins with the design of booster guidance,a mechanism that extracts structural and semantic features from remote sensing images to serve as priors,thereby providing targeted guidance for the diffusion process.Additionally,we introduce a cross-feature fusion module(CFM)that bridges the semantic gap between different types of features,facilitating the integration of the attributes extracted by booster guidance into the diffusion process more effectively.Our proposed BEDiff marks the first application of diffusion models to the task of building extraction.Empirical evidence from extensive experiments on the Beijing building dataset demonstrates the superior performance of BEDiff,affirming its effectiveness and potential for enhancing the accuracy of building extraction in complex urban landscapes.
基金Undergraduate Research Grants,Walailak University.
文摘Objective:Sick building syndrome(SBS)is a significant health concern among healthcare workers,exacerbated by prolonged exposure to indoor air pollutants and inadequate environmental conditions.Our study aims to explore the prevalence of SBS and its association with indoor air quality and workplace environments among healthcare workers in five hospital departments in Nakhon Si Thammarat,Thailand.Methods:Indoor air quality was assessed over eight days,measuring microbial concentrations(bacteria,fungi),temperature,humidity,and carbon dioxide levels.Demographic data and SBS symptoms were also collected from healthcare workers.Results:The findings revealed that fungal concentrations were highest in the pharmacy(51.95±37.59)colony forming units(CFU)per m^(3),while bacterial concentrations peaked in the outpatient department(265.06±49.46)CFU/m3.The study identified Staphylococcus hominis and Micrococcus luteus as the dominant microbial species in the air environment.A moderate positive correlation was found between bacterial concentrations and humidity(r=0.43,P=0.046).SBS symptoms were prevalent among healthcare workers,with 75.58%reporting issues like dry eyes and fatigue.The total complaint score for SBS correlated positively with indoor pollutant levels,especially fungi(r=0.38,P<0.001).Frequent cleaning reduced SBS complaints significantly(P<0.001).Conclusion:Hospital departments with more frequent cleaning practices exhibited lower SBS complaints,highlighting the importance of cleaning frequency in reducing SBS-related issues.These findings provide actionable insights for improving workplace safety and indoor air quality in healthcare settings.
文摘This work’s aim is to participate in local materials (raw or fiber improved), which can be used in sustainable and accessible buildings to every Senegalese. To do this, studied materials are respectively collected from a laterite clay pit in Ndouloumadjie Dembe (Matam, Northern Senegal) and another from a termite mound in Tattaguine (Fatick, Central Senegal). These samples are first subjected to Geotechnical identification tests. Mud bricks are then made with raw or sifted millet involucre improved to 1%, 2%, and 3% at 5 mm sieve samples. These briquettes are subjected to compression tests and thermal evaluations. Lagrange and Newton methods of numeric modelling are used to test the whole mixture points between 1% and 3% millet involucre for a better correlation between mechanical and thermal parameters. The results show that in Matam, as well as in Tattaguine, these muds, raw or improved, are of good thermomechanical quality when they are used in bricks making. And the thermomechanical coupling quality reaches a maximum situated at 2.125% for Ndouloumadjie and 2.05% for Tattaguine. These briquettes’ building quality depends on the mud content used in iron, aluminum, silica and clay. Thus, same natural materials can be used in the establishment of habitats according to their geotechnical, chemical, mechanical and thermal characteristics.
