Developments in the Built Environment最新文献

{"title":"Enhancing quality inspection efficiency and reliability of unscreened recycled coarse aggregates (RCA) streams using innovative mobile sensor-based technology","authors":"Cheng Chang ,&nbsp;Francesco Di Maio ,&nbsp;Rajeev Bheemireddy ,&nbsp;Perry Posthoorn ,&nbsp;Abraham T. Gebremariam ,&nbsp;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: &lt;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}

{"title":"Generating synthetic images for construction machinery data augmentation utilizing context-aware object placement","authors":"Yujie Lu ,&nbsp;Bo Liu ,&nbsp;Wei Wei ,&nbsp;Bo Xiao ,&nbsp;Zhangding Liu ,&nbsp;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}

{"title":"Vision-based real-time progress tracking and productivity analysis of the concrete pouring process","authors":"Ruoxue Zhang ,&nbsp;Ruyu Deng ,&nbsp;Zhao Zhang ,&nbsp;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}

{"title":"Quantification of paste homogeneity by vision-based identification method: Case study for an industrial mixer","authors":"Xiaorui Li ,&nbsp;Zhaolin Yuan ,&nbsp;Hezheng Wang ,&nbsp;Yong Wang ,&nbsp;Xiaojuan Ban","doi":"10.1016/j.dibe.2025.100605","DOIUrl":"10.1016/j.dibe.2025.100605","url":null,"abstract":"<div><div>Paste mixing is crucial in Cemented Paste Backfilling (CPB) to ensure both the strength and flowability of the backfill. Improper mixing can reduce strength and cause pipeline blockages. Properly mixing paste and cement is vital for enhancing backfill strength and paste flowability. However, existing methods lack real-time monitoring and intuitive usability. We propose a data-driven, non-contact system to evaluate paste homogeneity visually. A collaborative end-cloud device captures real-time images of the mixer tail, formalizing homogeneity evaluation as a semantic image segmentation task. Our method detects non-paste and non-homogeneous areas, defining a non-homogeneity factor as their proportion to the paste area. Using Gaussian process regression, the system predicts the factor’s probability and defines a homogeneity metric. Experiments at an industrial paste filling station show the system’s efficiency, accuracy, and alignment with subjective assessments. This method enables real-time monitoring of paste homogeneity, providing engineers with quantitative data to optimize the mixing process.</div></div>","PeriodicalId":34137,"journal":{"name":"Developments in the Built Environment","volume":"21 ","pages":"Article 100605"},"PeriodicalIF":6.2,"publicationDate":"2025-01-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143436467","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}

{"title":"Valorized sheep wool biocomposites towards a more sustainable building sector: Thermal insulation, sound absorption, and resistance against insects","authors":"Marta Urdanpilleta ,&nbsp;Itsaso Leceta ,&nbsp;Alexander Martín-Garín ,&nbsp;José Antonio Millán-García ,&nbsp;Pedro Guerrero ,&nbsp;Koro de la Caba","doi":"10.1016/j.dibe.2025.100608","DOIUrl":"10.1016/j.dibe.2025.100608","url":null,"abstract":"<div><div>In the search for sustainable and environmentally friendly alternatives for building insulation materials, biocomposites of sheep wool embedded in a polymer matrix were prepared by freeze-drying, combining soy protein with 7, 10, 15 and 20 wt % sheep wool. In addition, in order to protect these biocomposites against insects, coffee grounds were incorporated into the formulation. Thermal conductivity characterization revealed values in the order of other natural insulating materials. Additionally, coefficients of absorption at normal incidence, with values up to 0.96, showed a competitive performance of the biocomposites, in the same line of the samples without coffee grounds. Furthermore, the test of resistance against insects, with 2B classification according to ISO 3998, showed a good protection against keratophagous insects, especially against carpet beetle (<em>Anthrenus flavipies</em>). Consequently, biocomposites with an entirely renewable and eco-friendly composition, which valorize biowaste from different sources, were found to be functional as thermal and acoustic insulators towards more sustainable materials in the building sector.</div></div>","PeriodicalId":34137,"journal":{"name":"Developments in the Built Environment","volume":"21 ","pages":"Article 100608"},"PeriodicalIF":6.2,"publicationDate":"2025-01-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143096938","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}

{"title":"Addition of silane nanoparticles combined with mechanical activation for efficient reuse of sulfidic tailings for concrete construction","authors":"Alieh Saedi,&nbsp;Ahmad Jamshidi-Zanjani","doi":"10.1016/j.dibe.2025.100606","DOIUrl":"10.1016/j.dibe.2025.100606","url":null,"abstract":"<div><div>This study proposes mechanical activation process to structurally modify the tailings containing high sulfide content. X-ray diffraction analysis indicated that the mechanical activation of the tailings caused a phase transformation in the samples, and the alite phase formed in the control sample transformed to the hatrurite phase in the sample containing 20% activated tailings. The presence of silane nanoparticles enhances the hydration process, forming hydrated calcium silicate gels, resulting in a substantial reduction in porosity. According to the results of the toxicity characteristic leaching procedure, the reduction of heavy metals leaching was observed as a conclusion of the combination of tailings activation and the addition of nano-silane. As a result of the bonding between silane nanoparticles and the hydration products, the sample incorporating 20% and 40% activated tailings demonstrated approximately 30% and 15% higher strength, respectively, compared to the control sample after a curing period of 90 days.</div></div>","PeriodicalId":34137,"journal":{"name":"Developments in the Built Environment","volume":"21 ","pages":"Article 100606"},"PeriodicalIF":6.2,"publicationDate":"2025-01-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143096937","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}

{"title":"Global and regional estimation and evaluation of suitable roof area for solar and green roof applications","authors":"Diana Ürge-Vorsatz ,&nbsp;Souran Chatterjee ,&nbsp;Luisa F. Cabeza ,&nbsp;Gergely Molnár","doi":"10.1016/j.dibe.2025.100607","DOIUrl":"10.1016/j.dibe.2025.100607","url":null,"abstract":"<div><div>Buildings contribute to 40% of energy consumption and 30% of CO₂ emissions in 2019 globally, therefore it is necessary to exploit different solutions to decrease the corresponding energy demand, including green and cool roofs as well as on-site energy generation. To evaluate the potential of such technologies, one major input data for models and calculations is the available roof area, yet the literature shows a huge knowledge gap in this regard. Therefore, this paper contributes to filling this gap by estimating the roof availability over the period 2022–2060, using the detailed regional projections of the BISE (Building Integrated Solar Energy) model. Our results show that the roof area is likely to increase globally and in most of the analysed regions over the forthcoming decades, driven primarily by newly built tertiary buildings. In European context, the future increase of commercial/public rooftops is projected to be more pronounced for the western countries, although the overall growth is predicted to be slightly offset by shrinking residential rooftops both in the western and eastern regions. This study also demonstrates that despite the shading-related uncertainties of the estimation, the dimension of the available rooftop area could ensure significant potential for energy production and thermal regulation.</div></div>","PeriodicalId":34137,"journal":{"name":"Developments in the Built Environment","volume":"21 ","pages":"Article 100607"},"PeriodicalIF":6.2,"publicationDate":"2025-01-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143135737","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}

{"title":"Non-sintered artificial aggregates made of ternary alkali-activated materials with natural carbonated MSWI fly ash incorporations","authors":"Jing Gong ,&nbsp;Mengmeng Wang ,&nbsp;Guo Yang ,&nbsp;Han Guo ,&nbsp;Jie Yao ,&nbsp;Yaxin Tao ,&nbsp;Jing Zhong ,&nbsp;Yubo Sun","doi":"10.1016/j.dibe.2025.100603","DOIUrl":"10.1016/j.dibe.2025.100603","url":null,"abstract":"<div><div>This study investigates the utilization of municipal solid waste incineration (MSWI) fly ash (MFA) to produce non-sintered artificial aggregates (AAs) through alkali activation. To enhance its suitability, MFA underwent a six-month natural carbonation process to remove leachable salts and stabilize heavy metals, during which significant phase transformations were observed. The AAs were fabricated using ternary alkali-activated materials (AAMs) with varying MFA proportions through spray pelletization. Although higher MFA content reduced the strength of the AAs, this effect was counterbalanced by increasing the silicate modulus in the activators. The resulting AAs demonstrated mechanical strength comparable to or exceeding that of natural granite aggregates and recycled aggregates derived from concrete demolition waste. Furthermore, the study examined the reaction products and microstructural characteristics of the AAs. Leachate analysis confirmed compliance with environmental standards for heavy metal content, highlighting the potential of these AAs as a sustainable alternative aggregate resource for the construction industry.</div></div>","PeriodicalId":34137,"journal":{"name":"Developments in the Built Environment","volume":"21 ","pages":"Article 100603"},"PeriodicalIF":6.2,"publicationDate":"2025-01-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143096240","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}

{"title":"Nano-TiO₂-treated recycled aggregate-based photocatalytic mortar: Efficient NOx removal and mathematical modeling across diverse operational scenarios","authors":"Xue-Fei Chen ,&nbsp;Xiu-Cheng Zhang ,&nbsp;Xiangping Xian ,&nbsp;S Thomas Ng","doi":"10.1016/j.dibe.2025.100604","DOIUrl":"10.1016/j.dibe.2025.100604","url":null,"abstract":"<div><div>Nano-TiO₂-treated (NT) recycled concrete aggregates (RA) were successfully integrated into the built environment by producing green photocatalytic mortar. Employing various microstructural characterization techniques, it was revealed that the old mortar layer of the RA possessed a porous surface structure, providing a significant specific surface area conducive to effective NT loading. A stable Ti-O-Si chemical bond was established between the surface of the RA and the NT through a hydroxylation treatment process, ensuring the durability of the green photocatalytic mortar during its manufacture and deployment within the built environment. This innovative mortar demonstrated an exceptional NOx removal efficiency of c.a. 90.75%. A predictive model was developed using the Back Propagation Neural Network, integrating experimental and theoretical data to optimize mortar performance across various scenarios. The findings mark a significant advancement in using RA in construction, contributing to sustainable development in the built environment.</div></div>","PeriodicalId":34137,"journal":{"name":"Developments in the Built Environment","volume":"21 ","pages":"Article 100604"},"PeriodicalIF":6.2,"publicationDate":"2025-01-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143096939","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}

{"title":"Rheology, mechanical properties and microstructure characterization of limestone calcined clay cement (LC3) incorporated sustainable lightweight self-compacting concrete","authors":"Snigdhajit Mukherjee ,&nbsp;Rajesh Kumar ,&nbsp;Monalisa Behera ,&nbsp;Arpit Goyal ,&nbsp;Md Reyazur Rahman","doi":"10.1016/j.dibe.2025.100601","DOIUrl":"10.1016/j.dibe.2025.100601","url":null,"abstract":"<div><div>In recent years, there has been growing interest in the possibility of achieving zero-emission goals using environmentally friendly building materials. Significantly, the concrete industry utilizes numerous alternatives as supplementary cementitious materials (SCMs) for development in construction sector. The integrity of these materials has the potential to alter the rheological properties of fresh concrete with ease of their chemical reactivity over time. The physico-chemical behavior of limestone calcined clay cement (LC³) and lightweight expanded clay aggregate (LECA) provides significant information about the intrinsic material characteristics including rheological attributes, of novel lightweight self-compacting concrete (LWSCC) of a target strength of 25 MPa. Primarily, the ease of flow in concrete is governed by the thixotropy and rheological parameters under dynamic motion. Secondarily, the perfect flow model is essential for determining the change in non-linearity in the mixes, leading to shear thickening. Therefore, the overall rheological behavior was determined through slump flow, L-box, U-box, V funnel, and shear flow curve tests using a coaxial vane rheometer with the help of Reiner-Riwlin (R-R) equations. Herschel-Bulkley (H-B) and Modified Bingham (M − B) equations numerically validates non-linearity with flow index (n) ranging between 1.52 and 1.79 with c<strong>/</strong>μ &gt;0. For optimized LWSCC mix; the dynamic yield stresses varied by 20% owing to hydration acceleration and surface charge of metakaolin with an increase in plastic viscosity by 25% under low shear rate. It was found that the extent of flocculation and particle mitigation governs particle interactions in binders at low shear rates. Moreover, the significant reduction in fresh density by 35% (as compared to control mix) and the measurement of thermal conductivity through transient-state method explain the anisotropic structure effect of silicate layers in the heterogeneous LC³ system. A Microstructure study was employed to understand the contribution of secondary calcium silicate hydrate (C-S-H), chemical interaction of metakaolin, and interfacial transition zone (ITZ) through scanning electron microscopy (SEM). Finally, embodied energy assessment and cost analysis showed reduction in carbon dioxide (CO₂) emission and cost by nearly 16% and 13%, respectively, leading to a step toward global net zero emission with sustainability.</div></div>","PeriodicalId":34137,"journal":{"name":"Developments in the Built Environment","volume":"21 ","pages":"Article 100601"},"PeriodicalIF":6.2,"publicationDate":"2025-01-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143096940","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}