Pub Date : 2025-12-01Epub Date: 2025-09-29DOI: 10.1016/j.dibe.2025.100766
Xingwei Li, Beiyu Yi, Bei Peng
Construction and demolition waste (CDW) imposes severe environmental burdens through land occupation, energy consumption, and CO2 emissions, demanding sustainable solutions. Effective management faces critical barriers: inadequate responsibility by construction enterprises (CEs) and public attention's dual role as both driver and disruptor. This study employs a dynamic game framework to analyze stakeholder interactions. Key findings reveal: (1) Results identify five evolutionary equilibria, among which the self-driven (0,1,0) and collaborative (1,1,1) states feature proactive CDW management practices by CEs. (2) CEs stabilize proactive practices only when public feedback distortion is < 0.5; beyond this threshold, decisions fluctuate with public and government behavior; (3) Merely increasing public attention fails to ensure positive outcomes, causing inaction or instability; (4) Government incentives for public attention can not indirectly encourage CEs' efforts, while insufficient public engagement impedes progress. Effective CDW management thus requires coordinated strategies prioritizing reduced information distortion.
{"title":"Evolutionary mechanism of construction enterprises' construction and demolition waste management under dual effects of public attention","authors":"Xingwei Li, Beiyu Yi, Bei Peng","doi":"10.1016/j.dibe.2025.100766","DOIUrl":"10.1016/j.dibe.2025.100766","url":null,"abstract":"<div><div>Construction and demolition waste (CDW) imposes severe environmental burdens through land occupation, energy consumption, and CO<sub>2</sub> emissions, demanding sustainable solutions. Effective management faces critical barriers: inadequate responsibility by construction enterprises (CEs) and public attention's dual role as both driver and disruptor. This study employs a dynamic game framework to analyze stakeholder interactions. Key findings reveal: (1) Results identify five evolutionary equilibria, among which the self-driven (0,1,0) and collaborative (1,1,1) states feature proactive CDW management practices by CEs. (2) CEs stabilize proactive practices only when public feedback distortion is < 0.5; beyond this threshold, decisions fluctuate with public and government behavior; (3) Merely increasing public attention fails to ensure positive outcomes, causing inaction or instability; (4) Government incentives for public attention can not indirectly encourage CEs' efforts, while insufficient public engagement impedes progress. Effective CDW management thus requires coordinated strategies prioritizing reduced information distortion.</div></div>","PeriodicalId":34137,"journal":{"name":"Developments in the Built Environment","volume":"24 ","pages":"Article 100766"},"PeriodicalIF":8.2,"publicationDate":"2025-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145268610","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-12-01Epub Date: 2025-10-09DOI: 10.1016/j.dibe.2025.100769
Yong-Sun Yoo , Changbin Joh , Woo-Kyung Lee , Joo-Hyung Lee
Accurate internal imaging of reinforced concrete (RC) structures is essential for safety assessment, particularly when construction details are unavailable. However, traditional ground-penetrating radar requires surface contact, limiting applicability in field conditions. This study presents a non-contact imaging system integrating impulse radio ultra-wideband (IR-UWB), Vivaldi antennas, and synthetic aperture radar (SAR) processing on a motorized scanning platform. To enhance image quality, wavelet-based clutter suppression using the Orthogonal Matching Pursuit (OMP) algorithm is applied before SAR reconstruction. This approach improves signal sparsity and effectively reduces clutter tailored to UWB characteristics. Experiments on a representative RC specimen with code-compliant cover thickness showed that the signal-to-clutter ratio (SCR) increased from 8.61 dB to 11.08 dB, and the image entropy decreased from 11.77 to 11.32, which enables clearer localization of closely spaced rebars. Although validated on a laboratory-scale specimen, the proposed SAR-OMP system demonstrates strong potential for practical, contactless, and high-resolution imaging in concrete inspection.
{"title":"Remotely-operated non-contact rebar imaging in concrete using IR-UWB SAR and wavelet-based OMP clutter suppression","authors":"Yong-Sun Yoo , Changbin Joh , Woo-Kyung Lee , Joo-Hyung Lee","doi":"10.1016/j.dibe.2025.100769","DOIUrl":"10.1016/j.dibe.2025.100769","url":null,"abstract":"<div><div>Accurate internal imaging of reinforced concrete (RC) structures is essential for safety assessment, particularly when construction details are unavailable. However, traditional ground-penetrating radar requires surface contact, limiting applicability in field conditions. This study presents a non-contact imaging system integrating impulse radio ultra-wideband (IR-UWB), Vivaldi antennas, and synthetic aperture radar (SAR) processing on a motorized scanning platform. To enhance image quality, wavelet-based clutter suppression using the Orthogonal Matching Pursuit (OMP) algorithm is applied before SAR reconstruction. This approach improves signal sparsity and effectively reduces clutter tailored to UWB characteristics. Experiments on a representative RC specimen with code-compliant cover thickness showed that the signal-to-clutter ratio (SCR) increased from 8.61 dB to 11.08 dB, and the image entropy decreased from 11.77 to 11.32, which enables clearer localization of closely spaced rebars. Although validated on a laboratory-scale specimen, the proposed SAR-OMP system demonstrates strong potential for practical, contactless, and high-resolution imaging in concrete inspection.</div></div>","PeriodicalId":34137,"journal":{"name":"Developments in the Built Environment","volume":"24 ","pages":"Article 100769"},"PeriodicalIF":8.2,"publicationDate":"2025-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145325277","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-12-01Epub Date: 2025-10-10DOI: 10.1016/j.dibe.2025.100780
Samuel Pantaleo, Fenne Adriaanse, Florent Gauvin, H.J.H. Brouwers
Silica aerogel, with its exceptionally low thermal conductivity, needs wider applications despite current limitations. Meanwhile, bio-sourced materials are gaining traction because of their large availability, with comparable or superior properties to non-renewable options. Additonnaly, their low carbon footprints are crucial for reducing emissions linked to the building sector. Therefore, combining silica aerogel with bio-sourced materials is a promising way to address both environmental and performance goals. In the present study, composites made of silica aerogel and bio-based materials issued from waste (e.g. loose cellulose fibers and sawdust) are investigated, aiming for thermal insulation as the main application. The impact of each component is studied on properties related to thermal insulation - thermal conductivity, mechanical strength, moisture behavior, and mold development. Using empirical methodology, fine-tuned compositions are developed to get the best properties. Thermal conductivity down to 20 mW m−1.K−1 is achieved, with compression strength fulfilling the standard for thermal insulation materials.
{"title":"Use of bio-waste for silica aerogel composites","authors":"Samuel Pantaleo, Fenne Adriaanse, Florent Gauvin, H.J.H. Brouwers","doi":"10.1016/j.dibe.2025.100780","DOIUrl":"10.1016/j.dibe.2025.100780","url":null,"abstract":"<div><div>Silica aerogel, with its exceptionally low thermal conductivity, needs wider applications despite current limitations. Meanwhile, bio-sourced materials are gaining traction because of their large availability, with comparable or superior properties to non-renewable options. Additonnaly, their low carbon footprints are crucial for reducing emissions linked to the building sector. Therefore, combining silica aerogel with bio-sourced materials is a promising way to address both environmental and performance goals. In the present study, composites made of silica aerogel and bio-based materials issued from waste (e.g. loose cellulose fibers and sawdust) are investigated, aiming for thermal insulation as the main application. The impact of each component is studied on properties related to thermal insulation - thermal conductivity, mechanical strength, moisture behavior, and mold development. Using empirical methodology, fine-tuned compositions are developed to get the best properties. Thermal conductivity down to 20 mW m<sup>−1</sup>.K<sup>−1</sup> is achieved, with compression strength fulfilling the standard for thermal insulation materials.</div></div>","PeriodicalId":34137,"journal":{"name":"Developments in the Built Environment","volume":"24 ","pages":"Article 100780"},"PeriodicalIF":8.2,"publicationDate":"2025-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145325279","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-12-01Epub Date: 2025-11-12DOI: 10.1016/j.dibe.2025.100803
Yafeng Xu , Weiyi Kong , Kunpeng Zhao , Deao Kong , Zhen Wang , Zhexuan Sun , Dunlei Su
Seawater sea sand concrete (SWSSC), recognized for its green and sustainable nature, has gained attention in marine engineering, yet its high-temperature behavior and fiber effects remain underexplored. This study examined SWSSC and basalt fiber reinforced SWSSC (SWSSC-B) with fiber contents of 0.1 %–0.4 % after exposure to 23–800 °C. Compressive and splitting tensile tests, combined with SEM and XRD analyses, were conducted to investigate mechanical and microstructural evolution. Results showed that compressive strength first decreased, slightly recovered, and then dropped sharply with increasing temperature, while tensile strength continuously declined due to dehydration of C-S-H and decomposition of AFt, Friedel's salt, and Ca(OH)2. Incorporating basalt fibers mitigated degradation; at 0.2 % content, compressive and tensile strengths increased by 65.5 % and 14 % at 600 °C, respectively, compared with unreinforced SWSSC. The fiber-bridging network delayed crack propagation and maintained structural integrity. This study provides experimental evidence and theoretical insight for improving the fire resistance of SWSSC structures.
{"title":"Mechanical behavior and microstructural degradation of basalt fiber reinforced seawater sea sand concrete after high-temperature exposure","authors":"Yafeng Xu , Weiyi Kong , Kunpeng Zhao , Deao Kong , Zhen Wang , Zhexuan Sun , Dunlei Su","doi":"10.1016/j.dibe.2025.100803","DOIUrl":"10.1016/j.dibe.2025.100803","url":null,"abstract":"<div><div>Seawater sea sand concrete (SWSSC), recognized for its green and sustainable nature, has gained attention in marine engineering, yet its high-temperature behavior and fiber effects remain underexplored. This study examined SWSSC and basalt fiber reinforced SWSSC (SWSSC-B) with fiber contents of 0.1 %–0.4 % after exposure to 23–800 °C. Compressive and splitting tensile tests, combined with SEM and XRD analyses, were conducted to investigate mechanical and microstructural evolution. Results showed that compressive strength first decreased, slightly recovered, and then dropped sharply with increasing temperature, while tensile strength continuously declined due to dehydration of C-S-H and decomposition of AFt, Friedel's salt, and Ca(OH)<sub>2</sub>. Incorporating basalt fibers mitigated degradation; at 0.2 % content, compressive and tensile strengths increased by 65.5 % and 14 % at 600 °C, respectively, compared with unreinforced SWSSC. The fiber-bridging network delayed crack propagation and maintained structural integrity. This study provides experimental evidence and theoretical insight for improving the fire resistance of SWSSC structures.</div></div>","PeriodicalId":34137,"journal":{"name":"Developments in the Built Environment","volume":"24 ","pages":"Article 100803"},"PeriodicalIF":8.2,"publicationDate":"2025-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145568242","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-12-01Epub Date: 2025-11-21DOI: 10.1016/j.dibe.2025.100808
Rezaul Karim , Xingzhou Guo , Hongyue Wu
In construction workplaces, worker fatigue emerges from intense physical or mental activities, leading to decreased alertness, impaired decision-making, and increased accident risk. Although earlier reviews examined the origins and measurements of construction worker fatigue (CWF), recent studies show a progressive shift toward advanced and integrated approaches. These include real-time tracking, data-driven models, and multi-sensor wearables, combining knowledge from neuroscience, ergonomics, and information technology. However, current research remains fragmented, with limited studies systematically connecting technological and interdisciplinary developments in physical and mental fatigue to guide future work. Therefore, this review integrates knowledge across domains to highlight emerging trends and applications of advanced technologies in CWF research. Key findings reveal that fatigue monitoring should combine physiological measurements with contextual work variables; future human-centered systems should deliver task-specific and personalized feedback tailored to workers; and integration of technological advances with organizational policies and cultural awareness is essential to proactive fatigue management in construction.
{"title":"Advancing physical and mental fatigue analysis in construction workers: Insights, technologies, and future directions","authors":"Rezaul Karim , Xingzhou Guo , Hongyue Wu","doi":"10.1016/j.dibe.2025.100808","DOIUrl":"10.1016/j.dibe.2025.100808","url":null,"abstract":"<div><div>In construction workplaces, worker fatigue emerges from intense physical or mental activities, leading to decreased alertness, impaired decision-making, and increased accident risk. Although earlier reviews examined the origins and measurements of construction worker fatigue (CWF), recent studies show a progressive shift toward advanced and integrated approaches. These include real-time tracking, data-driven models, and multi-sensor wearables, combining knowledge from neuroscience, ergonomics, and information technology. However, current research remains fragmented, with limited studies systematically connecting technological and interdisciplinary developments in physical and mental fatigue to guide future work. Therefore, this review integrates knowledge across domains to highlight emerging trends and applications of advanced technologies in CWF research. Key findings reveal that fatigue monitoring should combine physiological measurements with contextual work variables; future human-centered systems should deliver task-specific and personalized feedback tailored to workers; and integration of technological advances with organizational policies and cultural awareness is essential to proactive fatigue management in construction.</div></div>","PeriodicalId":34137,"journal":{"name":"Developments in the Built Environment","volume":"24 ","pages":"Article 100808"},"PeriodicalIF":8.2,"publicationDate":"2025-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145614410","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-12-01Epub Date: 2025-09-30DOI: 10.1016/j.dibe.2025.100767
Liufeng Su , Xue Li , Qixiang Yan , Yong Yao , Yongjun Deng , Ming Li
This study systematically investigated the influence of downbursts on the wind load distribution of large-span hyperbolic spherical roofs under different terrain conditions through the design of scaled models, combined with wind tunnel experiments and Computational Fluid Dynamics (CFD) numerical simulations. The results indicate that when the downburst core acts directly above the model, the upper roof surface experiences significant vertical impact loads, with an average wind pressure coefficient (Cp) reaching 1.0 and exhibiting a radial decrease, while the lower roof surface shows a slightly lower Cp (0.8–0.9) but with a uniform distribution. Under flat terrain conditions, as the radial distance increases (≥1.25Djet), the Cp on the upper roof surface decays to a stable value (≈0.6), while the Cp on the windward side of the lower roof surface decreases linearly with minimal change on the leeward side, and a localized high-speed zone appears at 1.25Djet. In contrast, under sloped terrain conditions, the Cp on the upper roof surface turns negative with an increasing absolute value, while the Cp on the windward side of the lower roof surface transitions from positive to negative, with the maximum negative pressure zone located at the edge. The CFD velocity contour lines validated the surface pressure distribution, demonstrating a high degree of consistency between the numerical and experimental data, thereby providing a reliable basis for related research.
{"title":"Experimental and numerical analysis of wind load distribution on large-span double-curved spherical shell roofs under downburst conditions: Terrain effects and radial position sensitivity","authors":"Liufeng Su , Xue Li , Qixiang Yan , Yong Yao , Yongjun Deng , Ming Li","doi":"10.1016/j.dibe.2025.100767","DOIUrl":"10.1016/j.dibe.2025.100767","url":null,"abstract":"<div><div>This study systematically investigated the influence of downbursts on the wind load distribution of large-span hyperbolic spherical roofs under different terrain conditions through the design of scaled models, combined with wind tunnel experiments and Computational Fluid Dynamics (CFD) numerical simulations. The results indicate that when the downburst core acts directly above the model, the upper roof surface experiences significant vertical impact loads, with an average wind pressure coefficient (<em>C</em><sub><em>p</em></sub>) reaching 1.0 and exhibiting a radial decrease, while the lower roof surface shows a slightly lower <em>C</em><sub><em>p</em></sub> (0.8–0.9) but with a uniform distribution. Under flat terrain conditions, as the radial distance increases (≥1.25<em>D</em><sub><em>jet</em></sub>), the Cp on the upper roof surface decays to a stable value (≈0.6), while the <em>C</em><sub><em>p</em></sub> on the windward side of the lower roof surface decreases linearly with minimal change on the leeward side, and a localized high-speed zone appears at 1.25<em>D</em><sub><em>jet</em></sub>. In contrast, under sloped terrain conditions, the <em>C</em><sub><em>p</em></sub> on the upper roof surface turns negative with an increasing absolute value, while the <em>C</em><sub><em>p</em></sub> on the windward side of the lower roof surface transitions from positive to negative, with the maximum negative pressure zone located at the edge. The CFD velocity contour lines validated the surface pressure distribution, demonstrating a high degree of consistency between the numerical and experimental data, thereby providing a reliable basis for related research.</div></div>","PeriodicalId":34137,"journal":{"name":"Developments in the Built Environment","volume":"24 ","pages":"Article 100767"},"PeriodicalIF":8.2,"publicationDate":"2025-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145221954","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-12-01Epub Date: 2025-09-19DOI: 10.1016/j.dibe.2025.100751
Yunlong Song , Jingzhe Kang , Yumeng Su , Shiying Zhang , Qi Zhang , Youling Yu , Zhaomin Zhan , Weiping Zhang
The detection of cracks on the surface of infrastructure structures is a critical component of structural health monitoring. Addressing the core challenge of insufficient long-range dependency modeling in low-resolution crack detection, this paper proposes MambaFuse, a novel multilevel encoder–decoder model. This framework innovatively integrates the local feature extraction capability of CNNs, the global modeling strength of Transformers, and the long-sequence processing characteristics of Mamba. Field tests based on an autonomous mobile detection platform confirm the model’s exceptional ability to maintain crack topological continuity in real-time detection, with its selective state space mechanism successfully resolving fracture issues commonly encountered in dynamic mobile imaging. To advance research in this field, we constructed the CrackBench benchmark dataset containing 1,000 annotated images from multiple scenarios, and developed a geometry-based crack quantification method that enables direct conversion from pixel-level detection to engineering-applicable quantitative metrics. Experimental results demonstrate state-of-the-art performance in multiple benchmark datasets: 90.04% mIoU on DeepCrack, 79. 58% mIoU on Crack500 and 86. 17% mIoU on CrackBench, validating its superior segmentation accuracy and cross-scenario robustness.
{"title":"MambaFuse: Cross-scale state space fusion for crack segmentation","authors":"Yunlong Song , Jingzhe Kang , Yumeng Su , Shiying Zhang , Qi Zhang , Youling Yu , Zhaomin Zhan , Weiping Zhang","doi":"10.1016/j.dibe.2025.100751","DOIUrl":"10.1016/j.dibe.2025.100751","url":null,"abstract":"<div><div>The detection of cracks on the surface of infrastructure structures is a critical component of structural health monitoring. Addressing the core challenge of insufficient long-range dependency modeling in low-resolution crack detection, this paper proposes MambaFuse, a novel multilevel encoder–decoder model. This framework innovatively integrates the local feature extraction capability of CNNs, the global modeling strength of Transformers, and the long-sequence processing characteristics of Mamba. Field tests based on an autonomous mobile detection platform confirm the model’s exceptional ability to maintain crack topological continuity in real-time detection, with its selective state space mechanism successfully resolving fracture issues commonly encountered in dynamic mobile imaging. To advance research in this field, we constructed the CrackBench benchmark dataset containing 1,000 annotated images from multiple scenarios, and developed a geometry-based crack quantification method that enables direct conversion from pixel-level detection to engineering-applicable quantitative metrics. Experimental results demonstrate state-of-the-art performance in multiple benchmark datasets: 90.04% mIoU on DeepCrack, 79. 58% mIoU on Crack500 and 86. 17% mIoU on CrackBench, validating its superior segmentation accuracy and cross-scenario robustness.</div></div>","PeriodicalId":34137,"journal":{"name":"Developments in the Built Environment","volume":"24 ","pages":"Article 100751"},"PeriodicalIF":8.2,"publicationDate":"2025-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145097641","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Concrete anchorages are fundamental in modern construction technology, since structural connections enable flexible, rapid, and reversible on-site assembly. This study investigates system to automatically and timely detect fatigue-induced failure under cyclic loading on safety-critical chemical fastening systems using thermal sensors and automated computer vision. Twenty-one tensile tests (19 fatigue, 2 static) were conducted using thermocouples and infrared cameras. A real-time monitoring algorithm was developed to autonomously detect thermal anomalies and associate those to fatigue progression. In all cross-validated recordings, the system issued early warnings before failure, confirming its effectiveness. While single thermocouples proved unreliable due to environmental noise, the thermal image metrology system indicated high accuracy and effectiveness. The work advances automated inspection methods and intelligent failure alerting, based on non-contact sensing of dynamically loaded structural components. It supports predictive maintenance and long-term lifecycle monitoring, contributing to safer, more resilient constructed facilities through data-driven automation and real-time structural health monitoring.
{"title":"Smart sensing and automated fatigue warning in concrete anchorages using thermocouples and thermal imaging","authors":"Nikolaos Mellios , Mohamad Ahmad , Theodoros Rousakis , Panagiotis Spyridis","doi":"10.1016/j.dibe.2025.100778","DOIUrl":"10.1016/j.dibe.2025.100778","url":null,"abstract":"<div><div>Concrete anchorages are fundamental in modern construction technology, since structural connections enable flexible, rapid, and reversible on-site assembly. This study investigates system to automatically and timely detect fatigue-induced failure under cyclic loading on safety-critical chemical fastening systems using thermal sensors and automated computer vision. Twenty-one tensile tests (19 fatigue, 2 static) were conducted using thermocouples and infrared cameras. A real-time monitoring algorithm was developed to autonomously detect thermal anomalies and associate those to fatigue progression. In all cross-validated recordings, the system issued early warnings before failure, confirming its effectiveness. While single thermocouples proved unreliable due to environmental noise, the thermal image metrology system indicated high accuracy and effectiveness. The work advances automated inspection methods and intelligent failure alerting, based on non-contact sensing of dynamically loaded structural components. It supports predictive maintenance and long-term lifecycle monitoring, contributing to safer, more resilient constructed facilities through data-driven automation and real-time structural health monitoring.</div></div>","PeriodicalId":34137,"journal":{"name":"Developments in the Built Environment","volume":"24 ","pages":"Article 100778"},"PeriodicalIF":8.2,"publicationDate":"2025-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145268609","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-12-01Epub Date: 2025-11-19DOI: 10.1016/j.dibe.2025.100811
Ruoxin Wang , Chi Fai Cheung , Yiman Jiang , Dongxing Xuan , Chi Sun Poon
The rapid growth of construction and demolition waste (CDW) poses significant challenges to environmental sustainability and the availability of land resources, particularly in densely populated cities like Hong Kong, highlighting the urgent need for efficient waste sorting and recycling techniques. Traditional CDW sorting facilities (CWSFs) rely heavily on manual and mechanical operations, which are labour-intensive, costly, and often inefficient. Recent advances in computer vision offers new opportunities for automating CDW sorting, yet most existing models require large training datasets, substantial computational resources, and generally cannot estimate the precise area proportion of each waste category, limiting their practical deployment. To address these challenges, this paper introduces SAMSort, a novel framework that adapts the Segment Anything Model (SAM) for CDW sorting through parameter-efficient fine-tuning (PEFT). Six types of PEFT layers, including transformer adapter, attention adapter, multilayer perceptron adapter, and three variants of low-rank adaptation (LoRA Types I–III), are adopted to reduce the number of trainable parameters. In addition, the performance of all 24 possible combinations is evaluated. A new dataset collected from Tseung Kwan O (TKO) CWSF is constructed for model training and evaluation. The results show that SAMSort achieves competitive waste sorting performance, with an F1-score of 0.764 and an Intersection of Union of 0.670 using only 1 % of the parameters required for full fine-tuning.
建筑及拆卸废物的迅速增长，对环境的可持续发展和土地资源的可用性构成重大挑战，特别是在香港等人口稠密的城市，迫切需要有效的废物分类和回收技术。传统的废物分拣设施（cwsf）严重依赖人工和机械操作，这是劳动密集型的，成本高昂，而且往往效率低下。计算机视觉的最新进展为自动化废物分类提供了新的机会，然而大多数现有模型需要大量的训练数据集，大量的计算资源，并且通常不能估计每个废物类别的精确面积比例，限制了它们的实际部署。为了解决这些挑战，本文介绍了SAMSort，这是一个新的框架，它通过参数有效微调（PEFT）适应分段任意模型（SAM）进行CDW排序。为了减少可训练参数的数量，采用了6种PEFT层，包括变压器适配器、注意力适配器、多层感知器适配器和3种低秩自适应（LoRA type I-III）。此外，还对所有24种可能组合的性能进行了评估。从将军澳（TKO） CWSF收集了一个新的数据集，用于模型训练和评估。结果表明，SAMSort实现了具有竞争力的垃圾分类性能，f1得分为0.764，并集交集为0.670，仅使用1 %的参数即可进行完全微调。
{"title":"SAMSort: Vision foundation model for sorting construction and demolition waste","authors":"Ruoxin Wang , Chi Fai Cheung , Yiman Jiang , Dongxing Xuan , Chi Sun Poon","doi":"10.1016/j.dibe.2025.100811","DOIUrl":"10.1016/j.dibe.2025.100811","url":null,"abstract":"<div><div>The rapid growth of construction and demolition waste (CDW) poses significant challenges to environmental sustainability and the availability of land resources, particularly in densely populated cities like Hong Kong, highlighting the urgent need for efficient waste sorting and recycling techniques. Traditional CDW sorting facilities (CWSFs) rely heavily on manual and mechanical operations, which are labour-intensive, costly, and often inefficient. Recent advances in computer vision offers new opportunities for automating CDW sorting, yet most existing models require large training datasets, substantial computational resources, and generally cannot estimate the precise area proportion of each waste category, limiting their practical deployment. To address these challenges, this paper introduces SAMSort, a novel framework that adapts the Segment Anything Model (SAM) for CDW sorting through parameter-efficient fine-tuning (PEFT). Six types of PEFT layers, including transformer adapter, attention adapter, multilayer perceptron adapter, and three variants of low-rank adaptation (LoRA Types I–III), are adopted to reduce the number of trainable parameters. In addition, the performance of all 24 possible combinations is evaluated. A new dataset collected from Tseung Kwan O (TKO) CWSF is constructed for model training and evaluation. The results show that SAMSort achieves competitive waste sorting performance, with an F1-score of 0.764 and an Intersection of Union of 0.670 using only 1 % of the parameters required for full fine-tuning.</div></div>","PeriodicalId":34137,"journal":{"name":"Developments in the Built Environment","volume":"24 ","pages":"Article 100811"},"PeriodicalIF":8.2,"publicationDate":"2025-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145568244","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-12-01Epub Date: 2025-11-13DOI: 10.1016/j.dibe.2025.100804
Weizhun Jin , Qian Liu , Yajun Lv , Huabin Yang , Kangjie Zhang , Yuanyuan Luo , Xin Zhao
In this study, the effects of blending polyvinyl alcohol fiber (PVAF) and basalt fiber (BF) on the mechanical properties and microstructure of UHPC cured under high temperature were investigated. The results show that when the mixing ratio of PVAF and BF is fixed at 2 %, the compressive strength of UHPC decreases as the content of BF increases. A lower BF content significantly enhances the flexural strength of UHPC. When the BF content is 0.5 % and the PVAF content is 1.5 %, the flexural strength of UHPC reaches the maximum. Meanwhile, when the PVAF content is 0.5 % and the BF content is 1.5 %, the tensile strength of UHPC under high temperature curing reaches the maximum value of 10.2 MPa. Compared with the UHPC without fiber addition, it increases by 75.9 %, and is superior to the tensile strength of UHPC with only PVAF addition and UHPC with only BF addition. The interweaving of PVAF and BF can form a denser reinforcing network and jointly bear tensile stress, further enhancing the tensile strength of UHPC. The nucleation effect of PVAF can accelerate the cement hydration to generate more C-S-H, and the cement hydration around BF is promoted to a certain extent due to high temperature.
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