Developments in the Built Environment最新文献

英文中文

Behavioral analysis of steel I-beams under repeated dynamic loads: Impact of various impactor head types

IF 6.2 2区工程技术 Q1 CONSTRUCTION & BUILDING TECHNOLOGY

Developments in the Built Environment

Pub Date : 2025-02-01 DOI: 10.1016/j.dibe.2025.100620

Zeynep Yaman , Yusuf Sümer , Elif Ağcakoca , Mahyar Maali , Abdulkadir Cüneyt Aydın

The dynamic loadings to which the structural element is repeatedly exposed cause more damage due to the fatigue effect. In this article, the damage cases formed under the effect of the impact load acting on the weak axis of I-section steel beams under repeated impact loads are investigated and the effect of the geometric shape of the falling weight on the element behavior is evaluated by experimental and numerical methods. A 2000 mm long IPE160 section simply supported beam is subjected to impact load in the weak axis direction. The 100 kg impact load is applied from a height of 2200 mm with a hammer head having three different geometric shapes (rectangular, circular and triangular). Three-dimensional finite element models of the 6 experimental studies were analyzed using Abaqus Explicit software. In order to determine the effect of the geometric shape of the falling weight on the beam behavior under the effect of repeated load; five parameters such as displacement, acceleration, support reaction, stress distribution and plastic strain were investigated. The displacement, acceleration and support reaction formed in the beams were numerically investigated by means of finite element models and compared with the experimental results. The results obtained showed that the maximum deflection and acceleration occurred in the beams hit by the triangle-headed impact crusher. In addition, the largest plastic deformation and stress distribution were observed in the tests performed using triangle-headed impact crushers. In the series I (rectangular), II (circular), III (triangular) test series, the displacement value increased by 44%, 79% and 100%, respectively, compared to the first impact. It is seen that the 2nd degree effects play an important role in the increase of the damage level in the second impacts. It was determined that the maximum reaction force tended to increase from Series I to Series III. This shows that reducing the contact area of the falling weight significantly increases the reaction forces.

{"title":"Behavioral analysis of steel I-beams under repeated dynamic loads: Impact of various impactor head types","authors":"Zeynep Yaman , Yusuf Sümer , Elif Ağcakoca , Mahyar Maali , Abdulkadir Cüneyt Aydın","doi":"10.1016/j.dibe.2025.100620","DOIUrl":"10.1016/j.dibe.2025.100620","url":null,"abstract":"<div><div>The dynamic loadings to which the structural element is repeatedly exposed cause more damage due to the fatigue effect. In this article, the damage cases formed under the effect of the impact load acting on the weak axis of I-section steel beams under repeated impact loads are investigated and the effect of the geometric shape of the falling weight on the element behavior is evaluated by experimental and numerical methods. A 2000 mm long IPE160 section simply supported beam is subjected to impact load in the weak axis direction. The 100 kg impact load is applied from a height of 2200 mm with a hammer head having three different geometric shapes (rectangular, circular and triangular). Three-dimensional finite element models of the 6 experimental studies were analyzed using Abaqus Explicit software. In order to determine the effect of the geometric shape of the falling weight on the beam behavior under the effect of repeated load; five parameters such as displacement, acceleration, support reaction, stress distribution and plastic strain were investigated. The displacement, acceleration and support reaction formed in the beams were numerically investigated by means of finite element models and compared with the experimental results. The results obtained showed that the maximum deflection and acceleration occurred in the beams hit by the triangle-headed impact crusher. In addition, the largest plastic deformation and stress distribution were observed in the tests performed using triangle-headed impact crushers. In the series I (rectangular), II (circular), III (triangular) test series, the displacement value increased by 44%, 79% and 100%, respectively, compared to the first impact. It is seen that the 2nd degree effects play an important role in the increase of the damage level in the second impacts. It was determined that the maximum reaction force tended to increase from Series I to Series III. This shows that reducing the contact area of the falling weight significantly increases the reaction forces.</div></div>","PeriodicalId":34137,"journal":{"name":"Developments in the Built Environment","volume":"21 ","pages":"Article 100620"},"PeriodicalIF":6.2,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143096936","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Robotic assembly of modular concrete shells using falsework

IF 6.2 2区工程技术 Q1 CONSTRUCTION & BUILDING TECHNOLOGY

Developments in the Built Environment

Pub Date : 2025-01-31 DOI: 10.1016/j.dibe.2025.100616

Egor Ivaniuk , Dmytro Pukhkaiev , Mathias Reichle , Wanqi Zhao , Johannes Mey , Manuel Krombholz , Zlata Tošić , Uwe Aßmann , Sven Klinkel , Viktor Mechtcherine

The rapid development of robotics has the potential to transform the construction industry of the future. One possible application of robots is the assembly of modular concrete shells. This type of structure saves materials, while the modular approach makes them more cost-effective by eliminating the need for formwork. So far, however, robots have struggled to accurately position modules when assembling large modular shells on the construction site. The authors propose an alternative approach to the robotic assembly of modular shells based on the use of modular falsework. The presence of a falsework enables the creation of large-scale shells of complex shapes out of an unlimited number of modules while ensuring the accuracy of their positioning. This paper describes a possible methodology for implementing this approach and validates it by assembling a demonstrator, as well as presents the results of static and dynamic analysis of the modules moved by the robot.

{"title":"Robotic assembly of modular concrete shells using falsework","authors":"Egor Ivaniuk , Dmytro Pukhkaiev , Mathias Reichle , Wanqi Zhao , Johannes Mey , Manuel Krombholz , Zlata Tošić , Uwe Aßmann , Sven Klinkel , Viktor Mechtcherine","doi":"10.1016/j.dibe.2025.100616","DOIUrl":"10.1016/j.dibe.2025.100616","url":null,"abstract":"<div><div>The rapid development of robotics has the potential to transform the construction industry of the future. One possible application of robots is the assembly of modular concrete shells. This type of structure saves materials, while the modular approach makes them more cost-effective by eliminating the need for formwork. So far, however, robots have struggled to accurately position modules when assembling large modular shells on the construction site. The authors propose an alternative approach to the robotic assembly of modular shells based on the use of modular falsework. The presence of a falsework enables the creation of large-scale shells of complex shapes out of an unlimited number of modules while ensuring the accuracy of their positioning. This paper describes a possible methodology for implementing this approach and validates it by assembling a demonstrator, as well as presents the results of static and dynamic analysis of the modules moved by the robot.</div></div>","PeriodicalId":34137,"journal":{"name":"Developments in the Built Environment","volume":"21 ","pages":"Article 100616"},"PeriodicalIF":6.2,"publicationDate":"2025-01-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143300054","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Development and evaluation of a maturity assessment tool for integrating building information modelling into operations and maintenance phase of buildings

IF 6.2 2区工程技术 Q1 CONSTRUCTION & BUILDING TECHNOLOGY

Developments in the Built Environment

Pub Date : 2025-01-31 DOI: 10.1016/j.dibe.2025.100619

Dania K. Abideen , Akilu Yunusa-Kaltungo , Clara Cheung , Patrick Manu

The emergence of advanced digital tools such as building information modelling (BIM) has transformed the concept of building management in the construction sector. Despite the promising benefits of BIM in terms of successful project deliveries and enhanced building performance, construction firms struggle to view assets from the perspective of a whole asset life cycle context, and consequently struggle to derive their full potentials via BIM, especially in the operations and maintenance (O&M) phase. One of the fundamental reasons behind this challenge is the lack of empirical understanding of what information should be collected to support efficient and effective operation and maintenance management. Various BIM capability maturity models have been proposed to support BIM integrations into O&M management, but most of these models fail to capture detailed information requirements (IRs). Furthermore, there is limited insights regarding the prioritisations of these IRs to guide construction firms and asset owners towards operational competitiveness and excellence. To address these gaps, this study aims to develop a BIM and O&M maturity assessment model (BIM and O&M MM) by drawing on the capability maturity model integration (CMMI) concept, and utilising Delphi technique and maturity grids. The developed tool enables asset owners and managers to assess BIM and O&M integration maturity of built assets, based on a five-level maturity scheme across 21 IRs. To ensure effectiveness and practicality of the tool, 22 experts assessed the tool, and the results indicate its ability to succinctly measure the maturity level of BIM and O&M integration, thereby enabling construction managers and asset owners to identify areas of strengths and deficiencies for prioritising capital investments. The BIM and O&M MM ensures stakeholder alignment and addresses real-world O&M challenges. It enhances data consistency, optimised long-term asset management, data-driven decision-making, and provides a foundation for future research and technology integration.

{"title":"Development and evaluation of a maturity assessment tool for integrating building information modelling into operations and maintenance phase of buildings","authors":"Dania K. Abideen , Akilu Yunusa-Kaltungo , Clara Cheung , Patrick Manu","doi":"10.1016/j.dibe.2025.100619","DOIUrl":"10.1016/j.dibe.2025.100619","url":null,"abstract":"<div><div>The emergence of advanced digital tools such as building information modelling (BIM) has transformed the concept of building management in the construction sector. Despite the promising benefits of BIM in terms of successful project deliveries and enhanced building performance, construction firms struggle to view assets from the perspective of a whole asset life cycle context, and consequently struggle to derive their full potentials via BIM, especially in the operations and maintenance (O&M) phase. One of the fundamental reasons behind this challenge is the lack of empirical understanding of what information should be collected to support efficient and effective operation and maintenance management. Various BIM capability maturity models have been proposed to support BIM integrations into O&M management, but most of these models fail to capture detailed information requirements (IRs). Furthermore, there is limited insights regarding the prioritisations of these IRs to guide construction firms and asset owners towards operational competitiveness and excellence. To address these gaps, this study aims to develop a BIM and O&M maturity assessment model (BIM and O&M MM) by drawing on the capability maturity model integration (CMMI) concept, and utilising Delphi technique and maturity grids. The developed tool enables asset owners and managers to assess BIM and O&M integration maturity of built assets, based on a five-level maturity scheme across 21 IRs. To ensure effectiveness and practicality of the tool, 22 experts assessed the tool, and the results indicate its ability to succinctly measure the maturity level of BIM and O&M integration, thereby enabling construction managers and asset owners to identify areas of strengths and deficiencies for prioritising capital investments. The BIM and O&M MM ensures stakeholder alignment and addresses real-world O&M challenges. It enhances data consistency, optimised long-term asset management, data-driven decision-making, and provides a foundation for future research and technology integration.</div></div>","PeriodicalId":34137,"journal":{"name":"Developments in the Built Environment","volume":"21 ","pages":"Article 100619"},"PeriodicalIF":6.2,"publicationDate":"2025-01-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143300055","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Automated image-based identification and consistent classification of fire patterns with quantitative shape analysis and spatial location identification

IF 6.2 2区工程技术 Q1 CONSTRUCTION & BUILDING TECHNOLOGY

Developments in the Built Environment

Pub Date : 2025-01-27 DOI: 10.1016/j.dibe.2025.100612

Pengkun Liu , Shuna Ni , Stoliarov Stanislav I , Pingbo Tang

Fire patterns, consisting of fire effects that offer insights into fire behavior and origin, are currently classified based on investigators' visual observations, leading to subjective interpretations. This study proposes a quantitative fire pattern classification framework to support fire investigators, aiming for consistency and accuracy. The framework integrates four components. First, it leverages human-computer interaction to extract fire patterns from surfaces, combining investigator expertise with computational analysis. Second, it employs an aspect ratio-based random forest model to classify fire pattern shapes. Third, fire scene point cloud segmentation enables identification of fire-affected areas and mapping 2D fire patterns to 3D scenes for spatial relationships analysis. Lastly, spatial relationships between fire patterns and elements support an interpretation of fire scenes. These components provide pattern analysis that synthesizes qualitative and quantitative data. The framework's fire pattern shape classification results achieve 93% precision on synthetic data and 83% on real fire patterns.

{"title":"Automated image-based identification and consistent classification of fire patterns with quantitative shape analysis and spatial location identification","authors":"Pengkun Liu , Shuna Ni , Stoliarov Stanislav I , Pingbo Tang","doi":"10.1016/j.dibe.2025.100612","DOIUrl":"10.1016/j.dibe.2025.100612","url":null,"abstract":"<div><div>Fire patterns, consisting of fire effects that offer insights into fire behavior and origin, are currently classified based on investigators' visual observations, leading to subjective interpretations. This study proposes a quantitative fire pattern classification framework to support fire investigators, aiming for consistency and accuracy. The framework integrates four components. First, it leverages human-computer interaction to extract fire patterns from surfaces, combining investigator expertise with computational analysis. Second, it employs an aspect ratio-based random forest model to classify fire pattern shapes. Third, fire scene point cloud segmentation enables identification of fire-affected areas and mapping 2D fire patterns to 3D scenes for spatial relationships analysis. Lastly, spatial relationships between fire patterns and elements support an interpretation of fire scenes. These components provide pattern analysis that synthesizes qualitative and quantitative data. The framework's fire pattern shape classification results achieve 93% precision on synthetic data and 83% on real fire patterns.</div></div>","PeriodicalId":34137,"journal":{"name":"Developments in the Built Environment","volume":"21 ","pages":"Article 100612"},"PeriodicalIF":6.2,"publicationDate":"2025-01-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143096941","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Exploring the value of digital twins for information management in highway asset maintenance

IF 6.2 2区工程技术 Q1 CONSTRUCTION & BUILDING TECHNOLOGY

Developments in the Built Environment

Pub Date : 2025-01-25 DOI: 10.1016/j.dibe.2025.100614

Mengtian Yin , Varun Kumar Reja , Ran Wei , Ioannis Brilakis , Brian Sheil , Federico Perrotta , Alix Marie d'Avigneau , Linjun Lu

Highway agencies face challenges managing dispersed asset data across maintenance processes and information systems, hindering efficient retrieval of dynamic road information for timely interventions. A Digital Twin (DT)-based Information Management Framework (IMF) offers a promising solution based on a Foundation Data Model, Reference Data Libraries, and Integration Architecture. However, it is currently unclear how DT models of highway infrastructure systems based on a connected data ecosystem can be used in maintenance and how they benefit stakeholders. This paper describes results from a survey exploring DTs' potential in highway maintenance, starting with interviews with 20 experts to understand current processes, followed by a questionnaire survey to identify phases, features, applications, and use cases perceived as important by practitioners for road DTs. 183 responses reveal that DTs are widely deemed useful for asset deterioration prediction, strategy-making for routine maintenance planning, and scenario design for road investigation and repair in project-level maintenance.

{"title":"Exploring the value of digital twins for information management in highway asset maintenance","authors":"Mengtian Yin , Varun Kumar Reja , Ran Wei , Ioannis Brilakis , Brian Sheil , Federico Perrotta , Alix Marie d'Avigneau , Linjun Lu","doi":"10.1016/j.dibe.2025.100614","DOIUrl":"10.1016/j.dibe.2025.100614","url":null,"abstract":"<div><div>Highway agencies face challenges managing dispersed asset data across maintenance processes and information systems, hindering efficient retrieval of dynamic road information for timely interventions. A Digital Twin (DT)-based Information Management Framework (IMF) offers a promising solution based on a Foundation Data Model, Reference Data Libraries, and Integration Architecture. However, it is currently unclear how DT models of highway infrastructure systems based on a connected data ecosystem can be used in maintenance and how they benefit stakeholders. This paper describes results from a survey exploring DTs' potential in highway maintenance, starting with interviews with 20 experts to understand current processes, followed by a questionnaire survey to identify phases, features, applications, and use cases perceived as important by practitioners for road DTs. 183 responses reveal that DTs are widely deemed useful for asset deterioration prediction, strategy-making for routine maintenance planning, and scenario design for road investigation and repair in project-level maintenance.</div></div>","PeriodicalId":34137,"journal":{"name":"Developments in the Built Environment","volume":"21 ","pages":"Article 100614"},"PeriodicalIF":6.2,"publicationDate":"2025-01-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143096942","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Dealkalization Behavior and Leaching Mechanisms of Red Mud with Simulated Aluminum Profile Wastewater

IF 6.2 2区工程技术 Q1 CONSTRUCTION & BUILDING TECHNOLOGY

Developments in the Built Environment

Pub Date : 2025-01-25 DOI: 10.1016/j.dibe.2025.100613

Yicheng Tan , Xiuzhen Zhang , Zhichao Liu , Fazhou Wang , Shuguang Hu

This study presents a new waste treatment strategy by dealkalizing red mud with simulated aluminum profile wastewater. We investigate the leaching behavior and the effect of the wastewater dropping rate. During dealkalization, the slurry pH significantly decreases while conductivity increases, indicating efficient dealkalization. The increase in Na⁺ in the filtrate and the decrease in Na₂O in the residue confirm the dissolution of alkali, especially structural alkali. The dealkalization efficiency reaches 64.4%. Increasing the dropping rate accelerates the reaction, enhancing efficiency without altering the process. The mechanism involves Al³⁺ combining with hydrolyzed AlO₂⁻ to precipitate Al(OH)₃, effectively removing structural alkali, which is the main restrictive factor in red mud. After dealkalization, the utilization rate of red mud increases from 5% to 15%, positively impacting economic and environmental aspects, particularly land occupation, soil salinization, and human health.

引用次数: 0

Microbial-induced mineral carbonation: A promising approach for improving Carbon sequestration and performance of steel slag for its engineering utilization

IF 6.2 2区工程技术 Q1 CONSTRUCTION & BUILDING TECHNOLOGY

Developments in the Built Environment

Pub Date : 2025-01-24 DOI: 10.1016/j.dibe.2025.100615

Jue Li , Qingmeng Hou , Xinqiang Zhang , Xiaobin Zhang

Steel slag, a by-product of steel production, accumulates in large quantities and poses significant environmental risks due to heavy metal ion content. Therefore, using pre-treated steel slag in construction offers a sustainable solution. This review analyzed microbial-induced mineral carbonation (MIMC) as a promising approach for steel slag utilization, highlighting the enhanced principles and influential factors of steel slag carbonation. MIMC achieves superior carbonation efficiency (up to 90–95%) under mild conditions, ensuring environmental sustainability, safety, and cost-effectiveness. Key factors include microbial characteristics, steel slag properties, and process conditions. The review discussed how MIMC can enhance the properties of carbonated steel slag by modifying mineralogy and microstructure, improving physical and mechanical attributes, and optimizing environmental performance. Moreover, the application of MIMC-treated steel slag in engineering construction was examined. Nonetheless, further research is essential to overcome challenges, fully comprehend the mechanisms and environmental impacts of MIMC, and advance sustainable development in the steel industry.

{"title":"Microbial-induced mineral carbonation: A promising approach for improving Carbon sequestration and performance of steel slag for its engineering utilization","authors":"Jue Li , Qingmeng Hou , Xinqiang Zhang , Xiaobin Zhang","doi":"10.1016/j.dibe.2025.100615","DOIUrl":"10.1016/j.dibe.2025.100615","url":null,"abstract":"<div><div>Steel slag, a by-product of steel production, accumulates in large quantities and poses significant environmental risks due to heavy metal ion content. Therefore, using pre-treated steel slag in construction offers a sustainable solution. This review analyzed microbial-induced mineral carbonation (MIMC) as a promising approach for steel slag utilization, highlighting the enhanced principles and influential factors of steel slag carbonation. MIMC achieves superior carbonation efficiency (up to 90–95%) under mild conditions, ensuring environmental sustainability, safety, and cost-effectiveness. Key factors include microbial characteristics, steel slag properties, and process conditions. The review discussed how MIMC can enhance the properties of carbonated steel slag by modifying mineralogy and microstructure, improving physical and mechanical attributes, and optimizing environmental performance. Moreover, the application of MIMC-treated steel slag in engineering construction was examined. Nonetheless, further research is essential to overcome challenges, fully comprehend the mechanisms and environmental impacts of MIMC, and advance sustainable development in the steel industry.</div></div>","PeriodicalId":34137,"journal":{"name":"Developments in the Built Environment","volume":"21 ","pages":"Article 100615"},"PeriodicalIF":6.2,"publicationDate":"2025-01-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143096934","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Enhancing quality inspection efficiency and reliability of unscreened recycled coarse aggregates (RCA) streams using innovative mobile sensor-based technology

IF 6.2 2区工程技术 Q1 CONSTRUCTION & BUILDING TECHNOLOGY

Developments in the Built Environment

Pub Date : 2025-01-24 DOI: 10.1016/j.dibe.2025.100611

Cheng Chang , Francesco Di Maio , Rajeev Bheemireddy , Perry Posthoorn , Abraham T. Gebremariam , Peter Rem

Recycled coarse aggregates (RCA) from End-of-Life (EoL) concrete face resistance due to inconsistent quality. To address this, a mobile, containerized sensor-based inspection system is developed, capable of processing over 100 tons of RCA per hour. Using advanced 3D scanning and laser-induced breakdown spectroscopy (LIBS), the system ensures reliable real-time analysis of particle size distribution (PSD) (Root Mean Square Error: <5.5%) and contaminant detection (Accuracy: 0.94). Incremental learning techniques dynamically update chi-square distribution parameters as new spectral data becomes available, refining models continuously without full retraining and sustaining high classification performance. Monitoring data are recorded on radio frequency identification (RFID) tags, enhancing traceability. This innovation improves efficiency compared to traditional methods, supporting sustainable practices in the construction industry. Its applications also extend to related fields such as mining, waste management, and resource recovery, contributing to the circular economy, reducing reliance on natural aggregates, and promoting environmentally friendly infrastructure development.

{"title":"Enhancing quality inspection efficiency and reliability of unscreened recycled coarse aggregates (RCA) streams using innovative mobile sensor-based technology","authors":"Cheng Chang , Francesco Di Maio , Rajeev Bheemireddy , Perry Posthoorn , Abraham T. Gebremariam , Peter Rem","doi":"10.1016/j.dibe.2025.100611","DOIUrl":"10.1016/j.dibe.2025.100611","url":null,"abstract":"<div><div>Recycled coarse aggregates (RCA) from End-of-Life (EoL) concrete face resistance due to inconsistent quality. To address this, a mobile, containerized sensor-based inspection system is developed, capable of processing over 100 tons of RCA per hour. Using advanced 3D scanning and laser-induced breakdown spectroscopy (LIBS), the system ensures reliable real-time analysis of particle size distribution (PSD) (Root Mean Square Error: <5.5%) and contaminant detection (Accuracy: 0.94). Incremental learning techniques dynamically update chi-square distribution parameters as new spectral data becomes available, refining models continuously without full retraining and sustaining high classification performance. Monitoring data are recorded on radio frequency identification (RFID) tags, enhancing traceability. This innovation improves efficiency compared to traditional methods, supporting sustainable practices in the construction industry. Its applications also extend to related fields such as mining, waste management, and resource recovery, contributing to the circular economy, reducing reliance on natural aggregates, and promoting environmentally friendly infrastructure development.</div></div>","PeriodicalId":34137,"journal":{"name":"Developments in the Built Environment","volume":"21 ","pages":"Article 100611"},"PeriodicalIF":6.2,"publicationDate":"2025-01-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143096935","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Generating synthetic images for construction machinery data augmentation utilizing context-aware object placement

IF 6.2 2区工程技术 Q1 CONSTRUCTION & BUILDING TECHNOLOGY

Developments in the Built Environment

Pub Date : 2025-01-21 DOI: 10.1016/j.dibe.2025.100610

Yujie Lu , Bo Liu , Wei Wei , Bo Xiao , Zhangding Liu , Wensheng Li

Dataset is an essential factor influencing the accuracy of computer vision (CV) tasks in construction. Although image synthesis methods can automatically generate substantial annotated construction data compared to manual annotation, existing challenges limited the CV task accuracy, such as geometric inconsistency. To efficiently generate high-quality data, a synthesis method of construction data was proposed utilizing Unreal Engine (UE) and PlaceNet. First, the inpainting algorithm was applied to generate pure backgrounds, followed by multi-angle foreground capture within the UE. Then, the Swin Transformer and improved loss functions were integrated into PlaceNet to enhance the feature extraction of construction backgrounds, facilitating object placement accuracy. The generated synthetic dataset achieved a high average accuracy (mAP = 85.2%) in object detection tasks, 2.1% higher than the real dataset. This study offers theoretical and practical insights for synthetic dataset generation in construction, providing a future perspective to enhance CV task performance utilizing image synthesis.

{"title":"Generating synthetic images for construction machinery data augmentation utilizing context-aware object placement","authors":"Yujie Lu , Bo Liu , Wei Wei , Bo Xiao , Zhangding Liu , Wensheng Li","doi":"10.1016/j.dibe.2025.100610","DOIUrl":"10.1016/j.dibe.2025.100610","url":null,"abstract":"<div><div>Dataset is an essential factor influencing the accuracy of computer vision (CV) tasks in construction. Although image synthesis methods can automatically generate substantial annotated construction data compared to manual annotation, existing challenges limited the CV task accuracy, such as geometric inconsistency. To efficiently generate high-quality data, a synthesis method of construction data was proposed utilizing Unreal Engine (UE) and PlaceNet. First, the inpainting algorithm was applied to generate pure backgrounds, followed by multi-angle foreground capture within the UE. Then, the Swin Transformer and improved loss functions were integrated into PlaceNet to enhance the feature extraction of construction backgrounds, facilitating object placement accuracy. The generated synthetic dataset achieved a high average accuracy (mAP = 85.2%) in object detection tasks, 2.1% higher than the real dataset. This study offers theoretical and practical insights for synthetic dataset generation in construction, providing a future perspective to enhance CV task performance utilizing image synthesis.</div></div>","PeriodicalId":34137,"journal":{"name":"Developments in the Built Environment","volume":"21 ","pages":"Article 100610"},"PeriodicalIF":6.2,"publicationDate":"2025-01-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143135738","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Vision-based real-time progress tracking and productivity analysis of the concrete pouring process

IF 6.2 2区工程技术 Q1 CONSTRUCTION & BUILDING TECHNOLOGY

Developments in the Built Environment

Pub Date : 2025-01-20 DOI: 10.1016/j.dibe.2025.100609

Ruoxue Zhang , Ruyu Deng , Zhao Zhang , Yihua Mao

Regular progress monitoring is essential to keep the project on track consistently, but tracking progress on a daily basis fails to reveal operational issues, thus preventing timely management interventions. The automation and precision of real-time progress monitoring are critical for the concrete pouring process, significantly impacting both the efficiency and overall quality of the project. To address the common detection challenges like fuzzy boundaries and partial occlusion, an improved semantic segmentation-based framework was proposed for real-time progress tracking. The ECA mechanism and ASPP module were integrated into the U-Net to achieve precise segmentation. Subsequently, the actual progress was evaluated, and a work state identification algorithm was utilized to detect productivity-related issues, such as delays and interruptions. The approach was validated on a real construction project, achieving 90.85% precision in segmentation. This study provides theoretical references for real-time progress monitoring and presents a feasible approach for construction productivity management.

{"title":"Vision-based real-time progress tracking and productivity analysis of the concrete pouring process","authors":"Ruoxue Zhang , Ruyu Deng , Zhao Zhang , Yihua Mao","doi":"10.1016/j.dibe.2025.100609","DOIUrl":"10.1016/j.dibe.2025.100609","url":null,"abstract":"<div><div>Regular progress monitoring is essential to keep the project on track consistently, but tracking progress on a daily basis fails to reveal operational issues, thus preventing timely management interventions. The automation and precision of real-time progress monitoring are critical for the concrete pouring process, significantly impacting both the efficiency and overall quality of the project. To address the common detection challenges like fuzzy boundaries and partial occlusion, an improved semantic segmentation-based framework was proposed for real-time progress tracking. The ECA mechanism and ASPP module were integrated into the U-Net to achieve precise segmentation. Subsequently, the actual progress was evaluated, and a work state identification algorithm was utilized to detect productivity-related issues, such as delays and interruptions. The approach was validated on a real construction project, achieving 90.85% precision in segmentation. This study provides theoretical references for real-time progress monitoring and presents a feasible approach for construction productivity management.</div></div>","PeriodicalId":34137,"journal":{"name":"Developments in the Built Environment","volume":"21 ","pages":"Article 100609"},"PeriodicalIF":6.2,"publicationDate":"2025-01-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143096997","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

下一页尾页

类型

全部化学•材料生命科学医学物理工程技术环境•农林材料科学地球科学法学管理学化学环境科学与生态学计算机科学教育学经济学农林科学人文科学生物学数学物理与天体物理心理学综合性期刊其他工业工程理学历史学农学文学信息工程

数据库

全部 ACS Publications Elsevier ieeexplore Springer The Royal Society of Chemistry Wiley

期刊

Developments in the Built Environment

全部 Acc. Chem. Res. ACS Applied Bio Materials ACS Appl. Electron. Mater. ACS Appl. Energy Mater. ACS Appl. Mater. Interfaces ACS Appl. Nano Mater. ACS Appl. Polym. Mater. ACS BIOMATER-SCI ENG ACS Catal. ACS Cent. Sci. ACS Chem. Biol. ACS Chemical Health & Safety ACS Chem. Neurosci. ACS Comb. Sci. ACS Earth Space Chem. ACS Energy Lett. ACS Infect. Dis. ACS Macro Lett. ACS Mater. Lett. ACS Med. Chem. Lett. ACS Nano ACS Omega ACS Photonics ACS Sens. ACS Sustainable Chem. Eng. ACS Synth. Biol. Anal. Chem. BIOCHEMISTRY-US Bioconjugate Chem. BIOMACROMOLECULES Chem. Res. Toxicol. Chem. Rev. Chem. Mater. CRYST GROWTH DES ENERG FUEL Environ. Sci. Technol. Environ. Sci. Technol. Lett. Eur. J. Inorg. Chem. IND ENG CHEM RES Inorg. Chem. J. Agric. Food. Chem. J. Chem. Eng. Data J. Chem. Educ. J. Chem. Inf. Model. J. Chem. Theory Comput. J. Med. Chem. J. Nat. Prod. J PROTEOME RES J. Am. Chem. Soc. LANGMUIR MACROMOLECULES Mol. Pharmaceutics Nano Lett. Org. Lett. ORG PROCESS RES DEV ORGANOMETALLICS J. Org. Chem. J. Phys. Chem. J. Phys. Chem. A J. Phys. Chem. B J. Phys. Chem. C J. Phys. Chem. Lett. Analyst Anal. Methods Biomater. Sci. Catal. Sci. Technol. Chem. Commun. Chem. Soc. Rev. CHEM EDUC RES PRACT CRYSTENGCOMM Dalton Trans. Energy Environ. Sci. ENVIRON SCI-NANO ENVIRON SCI-PROC IMP ENVIRON SCI-WAT RES Faraday Discuss. Food Funct. Green Chem. Inorg. Chem. Front. Integr. Biol. J. Anal. At. Spectrom. J. Mater. Chem. A J. Mater. Chem. B J. Mater. Chem. C Lab Chip Mater. Chem. Front. Mater. Horiz. MEDCHEMCOMM Metallomics Mol. Biosyst. Mol. Syst. Des. Eng. Nanoscale Nanoscale Horiz. Nat. Prod. Rep. New J. Chem. Org. Biomol. Chem. Org. Chem. Front. PHOTOCH PHOTOBIO SCI PCCP Polym. Chem.

﹀