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
This study aims to examine the challenges and future directions of large-scale wooden construction education at universities in Japan and Finland.It compares the wooden construction curricula at universities and the a...This study aims to examine the challenges and future directions of large-scale wooden construction education at universities in Japan and Finland.It compares the wooden construction curricula at universities and the architectural education initiatives undertaken by firms specializing in large-scale wood construction design in both countries.The target applications for large-scale wooden construction are residential,commercial,and public buildings.Comparing university education revealed many commonalities between the two countries,allowing them to be classified into two types:“seminar-centered”and“lecture-centered”.Japanese universities are categorized by building type and scale for educational purposes.Finnish universities focus their education on the properties and functions of wood.Based on these results,we infer that incorporating both Japan’s architecture-planning-focused education and Finland’s materials-focused education into teaching,using familiar housing buildings as a theme,will lead to the wider adoption of large-scale wooden construction.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
Artificial intelligence (AI) is transforming the building and construction sector, enabling enhanced design strategies for achieving durable and sustainable structures. Traditional methods of design and construction o...Artificial intelligence (AI) is transforming the building and construction sector, enabling enhanced design strategies for achieving durable and sustainable structures. Traditional methods of design and construction often struggle to adequately predict building longevity, optimize material use, and maintain sustainability throughout a building’s lifecycle. AI technologies, including machine learning, deep learning, and digital twins, present advanced capabilities to overcome these limitations by providing precise predictive analytics, real-time monitoring, and proactive maintenance solutions. This study explores the benefits of integrating AI into building design and construction processes, highlighting key advantages such as improved durability, optimized resource efficiency, and heightened alignment with sustainability goals. As part of this study, the durability aspects are assessed through a strengths, weaknesses, opportunities, and threats analysis. In addition, a sustainability assessment is carried out, taking into account environmental, economic, and social factors, as well as alignment with the United Nations Sustainable Development Goals. Generally, AI-driven predictive models significantly enhance structural durability by forecasting material performance, corrosion risks, and building lifespans with high accuracy. Similarly, AI facilitates sustainable practices by optimizing energy consumption, integrating renewable energy systems efficiently, and significantly reducing carbon footprints. Despite these considerable benefits, implementing AI in the construction industry faces several challenges, including technological complexity, data management concerns, and industry readiness. Nonetheless, future directions emphasize continued development of user-friendly AI platforms, expanded industry collaboration, and rigorous exploration of AI’s transformative potential in sustainable and resilient architecture. Overall, AI is expected to redefine the built environment, delivering buildings that are durable and sustainably integrated within their ecological and social contexts.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
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
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
During the operation, maintenance and upkeep of concrete buildings, surface cracks are often regarded as important warning signs of potential damage. Their precise segmentation plays a key role in assessing the health...During the operation, maintenance and upkeep of concrete buildings, surface cracks are often regarded as important warning signs of potential damage. Their precise segmentation plays a key role in assessing the health of a building. Traditional manual inspection is subjective, inefficient and has safety hazards. In contrast, current mainstream computer vision–based crack segmentation methods still suffer from missed detections, false detections, and segmentation discontinuities. These problems are particularly evident when dealing with small cracks, complex backgrounds, and blurred boundaries. For this reason, this paper proposes a lightweight building surface crack segmentation method, HL-YOLO, based on YOLOv11n-seg, which integrates an attention mechanism and a dilation-wise residual structure. First, we design a lightweight backbone network, RCSAA-Net, which combines ResNet50, capable of multi-scale feature extraction, with a custom Channel-Spatial Aggregation Attention (CSAA) module. This design boosts the model’s capacity to extract features of fine cracks and complex backgrounds. Among them, the CSAA module enhances the model’s attention to critical crack areas by capturing global dependencies in feature maps. Secondly, we construct an enhanced Content-aware ReAssembly of FEatures (ProCARAFE) module. It introduces a larger receptive field and dynamic kernel generation mechanism to achieve the reconstruction and accurate restoration of crack edge details. Finally, a Dilation-wise Residual (DWR) structure is introduced to reconstruct the C3k2 modules in the neck. It enhances multi-scale feature extraction and long-range contextual information fusion capabilities through multi-rate depthwise dilated convolutions. The improved model’s superiority and generalization ability have been validated through experiments on the self-built dataset. Compared to the baseline model, HL-YOLO improves mean Average Precision at 0.5 IoU by 4.1%, and increases the mean Intersection over Union (mIoU) by 4.86%, with only 3.12 million parameters. These results indicate that HL-YOLO can efficiently and accurately identify cracks on building surfaces, meeting the demand for rapid detection and providing an effective technical solution for real-time crack monitoring.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
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
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://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
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.
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.
基金supported by the Sugiyama Jogakuen University’s School Research Fund.
文摘This study aims to examine the challenges and future directions of large-scale wooden construction education at universities in Japan and Finland.It compares the wooden construction curricula at universities and the architectural education initiatives undertaken by firms specializing in large-scale wood construction design in both countries.The target applications for large-scale wooden construction are residential,commercial,and public buildings.Comparing university education revealed many commonalities between the two countries,allowing them to be classified into two types:“seminar-centered”and“lecture-centered”.Japanese universities are categorized by building type and scale for educational purposes.Finnish universities focus their education on the properties and functions of wood.Based on these results,we infer that incorporating both Japan’s architecture-planning-focused education and Finland’s materials-focused education into teaching,using familiar housing buildings as a theme,will lead to the wider adoption of large-scale wooden construction.
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Artificial intelligence (AI) is transforming the building and construction sector, enabling enhanced design strategies for achieving durable and sustainable structures. Traditional methods of design and construction often struggle to adequately predict building longevity, optimize material use, and maintain sustainability throughout a building’s lifecycle. AI technologies, including machine learning, deep learning, and digital twins, present advanced capabilities to overcome these limitations by providing precise predictive analytics, real-time monitoring, and proactive maintenance solutions. This study explores the benefits of integrating AI into building design and construction processes, highlighting key advantages such as improved durability, optimized resource efficiency, and heightened alignment with sustainability goals. As part of this study, the durability aspects are assessed through a strengths, weaknesses, opportunities, and threats analysis. In addition, a sustainability assessment is carried out, taking into account environmental, economic, and social factors, as well as alignment with the United Nations Sustainable Development Goals. Generally, AI-driven predictive models significantly enhance structural durability by forecasting material performance, corrosion risks, and building lifespans with high accuracy. Similarly, AI facilitates sustainable practices by optimizing energy consumption, integrating renewable energy systems efficiently, and significantly reducing carbon footprints. Despite these considerable benefits, implementing AI in the construction industry faces several challenges, including technological complexity, data management concerns, and industry readiness. Nonetheless, future directions emphasize continued development of user-friendly AI platforms, expanded industry collaboration, and rigorous exploration of AI’s transformative potential in sustainable and resilient architecture. Overall, AI is expected to redefine the built environment, delivering buildings that are durable and sustainably integrated within their ecological and social contexts.
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.
基金support from Natural Science Foundation of Hunan Province(Grant No.2024JJ8055)Hunan Yiduoyun Commodity Itelligence Project(Grant No.h2024-003).
文摘During the operation, maintenance and upkeep of concrete buildings, surface cracks are often regarded as important warning signs of potential damage. Their precise segmentation plays a key role in assessing the health of a building. Traditional manual inspection is subjective, inefficient and has safety hazards. In contrast, current mainstream computer vision–based crack segmentation methods still suffer from missed detections, false detections, and segmentation discontinuities. These problems are particularly evident when dealing with small cracks, complex backgrounds, and blurred boundaries. For this reason, this paper proposes a lightweight building surface crack segmentation method, HL-YOLO, based on YOLOv11n-seg, which integrates an attention mechanism and a dilation-wise residual structure. First, we design a lightweight backbone network, RCSAA-Net, which combines ResNet50, capable of multi-scale feature extraction, with a custom Channel-Spatial Aggregation Attention (CSAA) module. This design boosts the model’s capacity to extract features of fine cracks and complex backgrounds. Among them, the CSAA module enhances the model’s attention to critical crack areas by capturing global dependencies in feature maps. Secondly, we construct an enhanced Content-aware ReAssembly of FEatures (ProCARAFE) module. It introduces a larger receptive field and dynamic kernel generation mechanism to achieve the reconstruction and accurate restoration of crack edge details. Finally, a Dilation-wise Residual (DWR) structure is introduced to reconstruct the C3k2 modules in the neck. It enhances multi-scale feature extraction and long-range contextual information fusion capabilities through multi-rate depthwise dilated convolutions. The improved model’s superiority and generalization ability have been validated through experiments on the self-built dataset. Compared to the baseline model, HL-YOLO improves mean Average Precision at 0.5 IoU by 4.1%, and increases the mean Intersection over Union (mIoU) by 4.86%, with only 3.12 million parameters. These results indicate that HL-YOLO can efficiently and accurately identify cracks on building surfaces, meeting the demand for rapid detection and providing an effective technical solution for real-time crack monitoring.
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.
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://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.
