Developments in the Built Environment最新文献

Blockage detection in pipelines based on linear frequency modulated acoustic reflection method 基于线性调频声反射法的管道堵塞检测

IF 6.2 2区工程技术

Developments in the Built Environment Pub Date : 2025-07-23 DOI: 10.1016/j.dibe.2025.100723

Haiyuan Yao , Dan Li , Yan Li , Bo Yang , Yang Meng

{"title":"Blockage detection in pipelines based on linear frequency modulated acoustic reflection method","authors":"Haiyuan Yao , Dan Li , Yan Li , Bo Yang , Yang Meng","doi":"10.1016/j.dibe.2025.100723","DOIUrl":"10.1016/j.dibe.2025.100723","url":null,"abstract":"<div><div>Hydrate-induced pipeline blockages pose critical risks to energy infrastructure reliability and operational safety. This study proposes a novel acoustic-based structural health monitoring system integrating linear frequency modulated (LFM) signals with adaptive matched filtering, specifically designed for early blockage detection in complex pipeline networks, including those in built environments. Validated via controlled experiments simulating industrial-scale conditions, the system achieved millimeter-level positioning accuracy (error <1 %) across varying blockage intensities (20–100 %), representing a 40 % precision improvement over conventional methods. The system's capability to resolve multi-stage blockage boundaries enhances predictive maintenance strategies for ensuring energy-efficient pipeline operations and infrastructure integrity management. By enabling real-time identification of incipient hydrate formation phases through acoustic signature analysis, this methodology supports sustainable infrastructure management through timely remedial interventions. Its applicability extends to intelligent building service pipelines, regional energy distribution networks, and deep-sea energy infrastructure, demonstrating significant potential for improving failure prediction and enhancing the resilience of built environment systems.</div></div>","PeriodicalId":34137,"journal":{"name":"Developments in the Built Environment","volume":"23 ","pages":"Article 100723"},"PeriodicalIF":6.2,"publicationDate":"2025-07-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144703903","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}

引用次数: 0

Fire scenario simulation method for residential buildings based on generative adversarial network 基于生成对抗网络的居民楼火灾场景仿真方法

IF 6.2 2区工程技术

Developments in the Built Environment Pub Date : 2025-07-22 DOI: 10.1016/j.dibe.2025.100720

Qingle Cheng , Xuyang Wang , Jin Zhuang , Wenjie Liao , Linlin Xie

{"title":"Fire scenario simulation method for residential buildings based on generative adversarial network","authors":"Qingle Cheng , Xuyang Wang , Jin Zhuang , Wenjie Liao , Linlin Xie","doi":"10.1016/j.dibe.2025.100720","DOIUrl":"10.1016/j.dibe.2025.100720","url":null,"abstract":"<div><div>Fire scenario simulation in residential buildings is crucial for fire safety design, risk assessment, and emergency management. Traditional CFD-based methods face challenges, including long computation times and reliance on expertise, limiting their use for real-time prediction and rapid design optimization. This study introduces a novel simulation method using Generative Adversarial Networks (GANs). A database of 50 residential layouts encompassing a wide variety of apartment configurations is constructed, with high-resolution spatiotemporal data on temperature and soot visibility generated via CFD. The GAN-based model uses layouts, ignition locations, and fire development times as inputs to predict temperature and soot fields. Experimental results show the model achieves an average Structural Similarity Index (SSIM) of 95.7 % compared to CFD and reduces prediction time to 2.56 s—an efficiency improvement of 80,000 times. This method provides an efficient tool for fire risk assessment, evacuation planning, and intelligent fire protection system design in residential buildings.</div></div>","PeriodicalId":34137,"journal":{"name":"Developments in the Built Environment","volume":"23 ","pages":"Article 100720"},"PeriodicalIF":6.2,"publicationDate":"2025-07-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144711106","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}

引用次数: 0

Detection and localization of anomalies in bridges using accelerometer data and sparse auto-encoders 基于加速度计数据和稀疏自编码器的桥梁异常检测与定位

IF 6.2 2区工程技术

Developments in the Built Environment Pub Date : 2025-07-18 DOI: 10.1016/j.dibe.2025.100715

Marco Pirrò, Carmelo Gentile

引用次数: 0

Machine learning based life prediction of rail tracks using environmental and operational factors 利用环境和运行因素进行基于机器学习的铁路轨道寿命预测

IF 6.2 2区工程技术

Developments in the Built Environment Pub Date : 2025-07-17 DOI: 10.1016/j.dibe.2025.100718

Koochul Ji , Gil Hwan Wang , Ilyoon Choi , Jong-Su Jeon

{"title":"Machine learning based life prediction of rail tracks using environmental and operational factors","authors":"Koochul Ji , Gil Hwan Wang , Ilyoon Choi , Jong-Su Jeon","doi":"10.1016/j.dibe.2025.100718","DOIUrl":"10.1016/j.dibe.2025.100718","url":null,"abstract":"<div><div>This study presents an integrated method using machine learning approaches for rail track life prediction, including environmental and operational aspects. Comprehensive data were obtained by analyzing metro rail replacement and maintenance data spanning over two decades from South Korea. Multiple regression-based machine learning models were used in the proposed framework to forecast rail life, including categorical boosting (CATB), extreme gradient boosting (XGB), random forest, and decision trees. The average temperature, maintenance count, and passenger volume were revealed from the feature importance evaluated using permutation and Shapley value analyses after Bayesian optimization. The results demonstrate that the XGB and CATB models obtain a coefficient of determination of approximately 0.81 for the test set under actual conditions despite minimal outlier removal. Moreover, this research demonstrates useful applications by mapping forecasts to particular rail segments, thus enabling data-informed maintenance scheduling and proactive decision-making in asset management systems.</div></div>","PeriodicalId":34137,"journal":{"name":"Developments in the Built Environment","volume":"23 ","pages":"Article 100718"},"PeriodicalIF":6.2,"publicationDate":"2025-07-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144663696","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}

引用次数: 0

RANS-based fast computational methods for indoor flows: a framework-driven performance assessment for a simple benchmark 基于ranss的室内流动快速计算方法：一个简单基准的框架驱动性能评估

IF 6.2 2区工程技术

Developments in the Built Environment Pub Date : 2025-07-14 DOI: 10.1016/j.dibe.2025.100716

Eugene Mamulova , Marcel Loomans , Twan van Hooff

{"title":"RANS-based fast computational methods for indoor flows: a framework-driven performance assessment for a simple benchmark","authors":"Eugene Mamulova , Marcel Loomans , Twan van Hooff","doi":"10.1016/j.dibe.2025.100716","DOIUrl":"10.1016/j.dibe.2025.100716","url":null,"abstract":"<div><div>Reliable indoor climate prediction requires reliable tools. Complex airflow predictions often involve the use of physical or numerical models. Computational fluid dynamics (CFD) is a popular, high-fidelity method that can produce reliable predictions. Conventional CFD methods like steady Reynolds-averaged Navier-Stokes (RANS) are time-consuming. Certain methods, called fast computational methods, may be faster and easier to use. However, a framework for addressing the speed, accuracy and software trade-off of these methods is lacking. In this paper, a unified framework is used to compare conventional, two-equation RANS (RANS-2) to four, RANS-based fast computational methods: coarse-grid modelling (c-RANS-2), zero-equation modelling (RANS-0), one-equation modelling (RANS-1), and GPU-based modelling (gpu-RANS-2). This framework is applied to a simple case, as a preliminary step towards understanding how fast computational methods may be applied in practice. This research concludes that gpu-RANS-2 and c-RANS-2 offer the best trade-off for simple mixing ventilation, and makes suggestions for simulating complex flows.</div></div>","PeriodicalId":34137,"journal":{"name":"Developments in the Built Environment","volume":"23 ","pages":"Article 100716"},"PeriodicalIF":6.2,"publicationDate":"2025-07-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144694817","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}

引用次数: 0

Alkali-activated concrete waste powder-based coating: Preparation, performance, and electrochemical resistance 碱活化混凝土废粉末状涂料：制备、性能及耐电化性能

IF 6.2 2区工程技术

Developments in the Built Environment Pub Date : 2025-07-13 DOI: 10.1016/j.dibe.2025.100714

Esraa K. Fayed , Ahmed M. El-Khayatt , Fouad I. El-Hosiny , Mahmoud Gharieb , Walaa M. Abd El-Gawad , A. Sabik , Khalifa Al-Jabri , Hamdy A. Abdel-Gawwad

{"title":"Alkali-activated concrete waste powder-based coating: Preparation, performance, and electrochemical resistance","authors":"Esraa K. Fayed , Ahmed M. El-Khayatt , Fouad I. El-Hosiny , Mahmoud Gharieb , Walaa M. Abd El-Gawad , A. Sabik , Khalifa Al-Jabri , Hamdy A. Abdel-Gawwad","doi":"10.1016/j.dibe.2025.100714","DOIUrl":"10.1016/j.dibe.2025.100714","url":null,"abstract":"<div><div>The environmental challenges posed by concrete waste necessitate effective reutilization strategies. While conventional applications in building materials have been explored, leveraging concrete waste in high-performance contexts, such as steel protective coatings, presents a more valuable avenue. This research investigates the application of concrete waste powder (CWP) in the development of alkali-activated steel coatings using sodium silicate (Na<sub>2</sub>SiO<sub>3</sub>). The findings reveal that the performance of the resultant coatings is primarily influenced by the CWP/Na<sub>2</sub>SiO<sub>3</sub> ratio and the silica modulus (Ms). Application of the optimized coating (CWP/Na<sub>2</sub>SiO<sub>3</sub> = 40/60 wt%, Ms = 2) to steel reinforcement significantly improved chloride corrosion resistance (3.5–19.8 kΩ cm<sup>2</sup>) and reduced corrosion current density (45–1.1 μA/cm<sup>2</sup>). This study proposes a viable method for CWP valorization in demanding applications, contributing to sustainable construction waste management through enhanced material utilization and reduced environmental impact.</div></div>","PeriodicalId":34137,"journal":{"name":"Developments in the Built Environment","volume":"23 ","pages":"Article 100714"},"PeriodicalIF":6.2,"publicationDate":"2025-07-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144632245","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}

引用次数: 0

Electrical and mechanical characteristics of CaO-activated cementless ultra-high performance concrete (UHPC) incorporating steel slag aggregates 掺钢渣骨料cao活化无水泥超高性能混凝土的电学和力学特性

IF 6.2 2区工程技术

Developments in the Built Environment Pub Date : 2025-07-12 DOI: 10.1016/j.dibe.2025.100713

Min-Chang Kang , Munhwa Kang , Goeun Jun , Yanchen Oinam , Hong Min Seung , Sukhoon Pyo

{"title":"Electrical and mechanical characteristics of CaO-activated cementless ultra-high performance concrete (UHPC) incorporating steel slag aggregates","authors":"Min-Chang Kang , Munhwa Kang , Goeun Jun , Yanchen Oinam , Hong Min Seung , Sukhoon Pyo","doi":"10.1016/j.dibe.2025.100713","DOIUrl":"10.1016/j.dibe.2025.100713","url":null,"abstract":"<div><div>This study presents a sustainable and intelligent alternative to conventional cement-based ultra-high performance concrete (UHPC) by developing a CaO-activated GGBFS cementless UHPC incorporating rapid-cooled electric arc furnace oxidizing slag (REOS) as a replacement for natural aggregates. As an industrial byproduct, REOS enhances mechanical performance while promoting electrical conductivity, forming efficient conductive networks within the matrix. These pathways enable self-sensing capabilities, allowing the material to detect stress and strain without external sensors. The experimental results showed that REOS improved fluidity (up to 235 mm) and maintained high compressive strength (exceeding 200 MPa). Additionally, it was found that REOS enhanced tensile properties, achieving tensile strength exceeding 21 MPa and maximum strain capacity of 0.72 %, particularly when combined with 0.3 % carbon fiber. The incorporation of carbon fiber significantly reduced electrical resistivity compared to the composite without carbon fiber. Furthermore, a life cycle assessment (LCA) demonstrated the environmental benefits of REOS, showing approximately 53 % lower carbon dioxide (CO<sub>2</sub>) emissions per unit compressive strength compared to traditional UHPC. This research highlights the multifunctionality of REOS in improving both performance and sustainability, offering valuable insights into the development of next-generation UHPC that integrates advanced sensing capabilities and aligns with circular economy principles.</div></div>","PeriodicalId":34137,"journal":{"name":"Developments in the Built Environment","volume":"23 ","pages":"Article 100713"},"PeriodicalIF":6.2,"publicationDate":"2025-07-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144654443","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}

引用次数: 0

Multi-scale X-ray techniques for assessing recycled concrete aggregate: from XRPD analysis of leftover cement in recycled aggregates to micro-CT imaging of concrete microstructure 评估再生混凝土骨料的多尺度x射线技术：从再生骨料中剩余水泥的XRPD分析到混凝土微观结构的微ct成像

IF 6.2 2区工程技术

Developments in the Built Environment Pub Date : 2025-07-11 DOI: 10.1016/j.dibe.2025.100709

A. Bisciotti , L. Mancini , A. Viani , V. Zalar Serjun , A. Mladenovic , G. Cruciani

{"title":"Multi-scale X-ray techniques for assessing recycled concrete aggregate: from XRPD analysis of leftover cement in recycled aggregates to micro-CT imaging of concrete microstructure","authors":"A. Bisciotti , L. Mancini , A. Viani , V. Zalar Serjun , A. Mladenovic , G. Cruciani","doi":"10.1016/j.dibe.2025.100709","DOIUrl":"10.1016/j.dibe.2025.100709","url":null,"abstract":"<div><div>The content of leftover cement paste is a crucial parameter for determining recycled aggregates quality. Various methods assess this, including wet techniques (acid dissolution, chemical degradation, water absorption), physical approaches (freeze-thaw cycles, mechanical shredding, oven-dried density, thermal disaggregation), and spectroscopic or microscopy analyses. However, these methods often lack accuracy, are time-consuming, or depend on operator skill. A novel X-ray Powder Diffraction and Rietveld quantitative phase analysis approach is introduced to improve measurements precision. Results are compared with multi-scale analyses (microscopy, X-ray computed tomography, mechanical testing) on recycled aggregate concrete specimens. Findings highlight a strong correlation between leftover cement paste content and key concrete properties, including microstructure, hydration products, and mechanical performance. This study confirms that leftover cement paste content is a decisive factor in recycled concrete aggregate properties, and that the proposed method offers a rapid and reliable approach to control this parameter.</div></div>","PeriodicalId":34137,"journal":{"name":"Developments in the Built Environment","volume":"23 ","pages":"Article 100709"},"PeriodicalIF":6.2,"publicationDate":"2025-07-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144613989","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}

引用次数: 0

BIM adoption modes in construction projects: A cluster analysis of motivations and capabilities in China BIM在建筑项目中的应用模式：中国的动机和能力的聚类分析

IF 6.2 2区工程技术

Developments in the Built Environment Pub Date : 2025-07-08 DOI: 10.1016/j.dibe.2025.100711

Dongping Cao , Shiting Shao , Guangbin Wang , Heng Li

{"title":"BIM adoption modes in construction projects: A cluster analysis of motivations and capabilities in China","authors":"Dongping Cao , Shiting Shao , Guangbin Wang , Heng Li","doi":"10.1016/j.dibe.2025.100711","DOIUrl":"10.1016/j.dibe.2025.100711","url":null,"abstract":"<div><div>With its great potential to facilitate the sustainable development of the built environment, the adoption of BIM as a systemic innovation is associated with complex efficiency-legitimacy motivations embedded in heterogeneous capability contexts. Drawing upon a configuration perspective, this study aims to explore how different dimensions of intrinsic motivations and capability contexts are concurrently configured as different modes of BIM adoption in construction projects and result in varied performance outcomes. Based on the cluster analysis of project-based BIM adoption data in China, the results provide robust evidence for four BIM adoption modes with significantly different motivation-capability configurations: efficiency-motivated mode, strategy-motivated mode, multi-motivated mode, and under-motivated mode. While strategy-motivated and multi-motivated modes are illustrated to be the two most generally used modes, the efficiency-motivated mode exhibits the highest levels of both BIM implementation extent and success, providing evidence that the adoption of BIM as a high-profile digital technology has become a highly institutionalized economic endeavor under the impacts of external institutional environments. This study contributes to a deepened understanding of how innovation adoption as an institutionalized economic endeavor could exhibit consistently different motivation and capability configurations and how such configurations could be more efficiently managed to foster a healthier paradigm for the advancements of innovative solutions in the conservative project-based construction practices during the ongoing digital and sustainable transformation wave.</div></div>","PeriodicalId":34137,"journal":{"name":"Developments in the Built Environment","volume":"23 ","pages":"Article 100711"},"PeriodicalIF":6.2,"publicationDate":"2025-07-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144587717","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}

引用次数: 0

Evaluation of self-healing crack repair sticks for enhanced durability, sealing, and stiffness recovery of concrete 自愈裂缝修补棒对增强混凝土耐久性、密封性和刚度恢复的评价

IF 6.2 2区工程技术

Developments in the Built Environment Pub Date : 2025-07-08 DOI: 10.1016/j.dibe.2025.100712

Didier Snoeck , Nele De Belie

引用次数: 0