Developments in the Built Environment最新文献_第7页

Dynamic response prediction of heritage masonry buildings by dual-phase hybrid regression modeling under partial monitoring parameters 部分监测参数下遗产砌体建筑动态响应的双相混合回归模型预测

IF 8.2 2区工程技术 Q1 CONSTRUCTION & BUILDING TECHNOLOGY

Developments in the Built Environment

Pub Date : 2025-11-10 DOI: 10.1016/j.dibe.2025.100802

Alireza Entezami , Hesam Kiarad , Hassan Sarmadi , Bahareh Behkamal

Effective dynamic monitoring of heritage masonry buildings depends on reliable data from multi-sensor monitoring systems. Machine learning-based response prediction offers an intelligent solution to practical limitations of in-situ measurements. However, existing predictive models struggle to make reliable predictions in the presence of incomplete data. This study proposes a novel dual-phase residual-augmented regression (DPRAR) method for predicting long-term modal frequencies of masonry buildings by integrating random forests (RF) with a deep regression-based neural network (DRNN). Initially, the RF predicts responses from measured data to extract residuals between observed and predicted values, which serve as latent information. Subsequently, these residuals, combined with measured data, form an enhanced dataset to train the DRNN for the final predictions. The main contributions include integrating statistical and deep learning regressors and innovatively using residuals to address missing unmeasured factors. Validation on a heritage masonry building shows that DPRAR substantially improves dynamic behavior prediction despite limited environmental measurements.

遗产砌体建筑的有效动态监测依赖于多传感器监测系统提供的可靠数据。基于机器学习的响应预测为原位测量的实际限制提供了一种智能解决方案。然而，现有的预测模型很难在数据不完整的情况下做出可靠的预测。将随机森林（RF）与基于深度回归的神经网络（DRNN）相结合，提出了一种新的双相残差增广回归（DPRAR）方法来预测砌体建筑的长期模态频率。首先，RF预测实测数据的响应，以提取观测值和预测值之间的残差，作为潜在信息。随后，这些残差与测量数据相结合，形成一个增强的数据集，用于训练DRNN进行最终预测。主要贡献包括整合统计和深度学习回归量以及创新地使用残差来解决缺失的未测量因素。在一个传统砌体建筑上的验证表明，尽管环境测量有限，DPRAR仍能显著改善动态行为预测。

{"title":"Dynamic response prediction of heritage masonry buildings by dual-phase hybrid regression modeling under partial monitoring parameters","authors":"Alireza Entezami , Hesam Kiarad , Hassan Sarmadi , Bahareh Behkamal","doi":"10.1016/j.dibe.2025.100802","DOIUrl":"10.1016/j.dibe.2025.100802","url":null,"abstract":"<div><div>Effective dynamic monitoring of heritage masonry buildings depends on reliable data from multi-sensor monitoring systems. Machine learning-based response prediction offers an intelligent solution to practical limitations of in-situ measurements. However, existing predictive models struggle to make reliable predictions in the presence of incomplete data. This study proposes a novel dual-phase residual-augmented regression (DPRAR) method for predicting long-term modal frequencies of masonry buildings by integrating random forests (RF) with a deep regression-based neural network (DRNN). Initially, the RF predicts responses from measured data to extract residuals between observed and predicted values, which serve as latent information. Subsequently, these residuals, combined with measured data, form an enhanced dataset to train the DRNN for the final predictions. The main contributions include integrating statistical and deep learning regressors and innovatively using residuals to address missing unmeasured factors. Validation on a heritage masonry building shows that DPRAR substantially improves dynamic behavior prediction despite limited environmental measurements.</div></div>","PeriodicalId":34137,"journal":{"name":"Developments in the Built Environment","volume":"24 ","pages":"Article 100802"},"PeriodicalIF":8.2,"publicationDate":"2025-11-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145520160","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

Bridging circular economy and embodied carbon: A quantitative assessment method for building refurbishment design 衔接循环经济与隐含碳：建筑翻新设计的定量评估方法

IF 8.2 2区工程技术 Q1 CONSTRUCTION & BUILDING TECHNOLOGY

Developments in the Built Environment

Pub Date : 2025-11-10 DOI: 10.1016/j.dibe.2025.100801

Joana Fernandes, Paulo Ferrão

The construction industry accounts for over 30 % of global resource extraction, generates 25 % of solid waste, and contributes 11 % of total greenhouse gas emissions, including from material processing. Refurbishment strategies are crucial for mitigating these impacts by extending building lifespans. Effective decarbonization requires a comprehensive analysis of refurbishment design regarding resource management and global warming.

However, existing assessment methods are often fragmented. To address this, the Carbon Circularity Method, has been developed specifically for refurbishment projects, combining multi-level assessments of Circular Economy (CE) practices with embodied carbon quantification. Aligned with established standards, it defines clear system boundaries, refines End-of-Life strategies, and introduces carbon-informed CE quantification.

Findings show that, while high Disassembly Indexes facilitate CE practices, circularity potential is constrained by components condition. Integrating embodied carbon helps prioritize low-carbon-intensive products, reinforces CE strategies, and enables comprehensive CE and climate impact evaluation, offering a valuable tool for improving building environmental performance.

建筑业占全球资源开采量的30% %以上，产生固体废物的25% %，温室气体排放总量的11. %（包括材料加工）。翻新策略对于通过延长建筑寿命来减轻这些影响至关重要。有效的脱碳需要对资源管理和全球变暖方面的翻新设计进行综合分析。然而，现有的评估方法往往是碎片化的。为了解决这个问题，专门为翻新项目开发了碳循环度方法，将循环经济（CE）实践的多层次评估与具体碳量化相结合。与已建立的标准保持一致，它定义了明确的系统边界，改进了报废策略，并引入了碳信息CE量化。研究结果表明，虽然高拆解指数有利于CE实践，但循环潜力受到组件条件的限制。整合隐含碳有助于优先考虑低碳密集型产品，加强CE战略，并实现全面的CE和气候影响评估，为提高建筑环境绩效提供了有价值的工具。

{"title":"Bridging circular economy and embodied carbon: A quantitative assessment method for building refurbishment design","authors":"Joana Fernandes, Paulo Ferrão","doi":"10.1016/j.dibe.2025.100801","DOIUrl":"10.1016/j.dibe.2025.100801","url":null,"abstract":"<div><div>The construction industry accounts for over 30 % of global resource extraction, generates 25 % of solid waste, and contributes 11 % of total greenhouse gas emissions, including from material processing. Refurbishment strategies are crucial for mitigating these impacts by extending building lifespans. Effective decarbonization requires a comprehensive analysis of refurbishment design regarding resource management and global warming.</div><div>However, existing assessment methods are often fragmented. To address this, the Carbon Circularity Method, has been developed specifically for refurbishment projects, combining multi-level assessments of Circular Economy (CE) practices with embodied carbon quantification. Aligned with established standards, it defines clear system boundaries, refines End-of-Life strategies, and introduces carbon-informed CE quantification.</div><div>Findings show that, while high Disassembly Indexes facilitate CE practices, circularity potential is constrained by components condition. Integrating embodied carbon helps prioritize low-carbon-intensive products, reinforces CE strategies, and enables comprehensive CE and climate impact evaluation, offering a valuable tool for improving building environmental performance.</div></div>","PeriodicalId":34137,"journal":{"name":"Developments in the Built Environment","volume":"24 ","pages":"Article 100801"},"PeriodicalIF":8.2,"publicationDate":"2025-11-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145520159","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

Sustainability assessment on green construction using a novel analytical framework integrating machine learning and emergy analysis 结合机器学习和能量分析的新型分析框架对绿色建筑的可持续性评估

IF 8.2 2区工程技术 Q1 CONSTRUCTION & BUILDING TECHNOLOGY

Developments in the Built Environment

Pub Date : 2025-11-08 DOI: 10.1016/j.dibe.2025.100797

Lin Chen , Lepeng Huang , Xiang Li , Zimeng Chen , Kok Sin Woon , Pow-Seng Yap , Jianmin Hua , Liang Dong , Jinbing Wang , Jingzhen Chen

Carbon emissions from building construction phase contribute 26.6 % of China's energy-related carbon emissions, yet their assessment remains a key scientific and engineering challenge. Existing systems depend on subjective weighting and linear assumptions, failing to capture the nonlinear relationship between resource inputs and emissions. This study establishes a data-driven sustainability assessment framework for green construction integrating emergy theory and machine learning. Based on data from 5110 buildings across 190 projects, six algorithms (DT, LightGBM, CatBoost, XGBoost, RF, ET) were used to build emergy–carbon emission regression models. The ET model achieved the best performance (R² = 0.9714), effectively characterizing the nonlinear interactions between emergy inputs and emissions. Purchased and non-renewable emergy drive emissions, while renewable emergy mitigates them. The emergy sustainability index correlates strongly with emissions, serving as an objective evaluation metric. This framework connects emergy theory with empirical modeling, supporting a scientific basis and practical tool for low-carbon construction and policy standardization.

建筑施工阶段的碳排放量占中国能源相关碳排放量的26.6% %，但其评估仍然是一个关键的科学和工程挑战。现有的系统依赖于主观加权和线性假设，未能捕捉到资源投入和排放之间的非线性关系。本研究结合能值理论和机器学习，建立了一个数据驱动的绿色建筑可持续性评估框架。基于190个项目5110栋建筑的数据，采用DT、LightGBM、CatBoost、XGBoost、RF、ET等6种算法构建能量-碳排放回归模型。ET模型表现最佳（R2 = 0.9714），有效表征了能量输入与排放之间的非线性相互作用。购买能源和不可再生能源驱动排放，而可再生能源则减轻排放。能源可持续性指数与排放密切相关，是一个客观的评价指标。该框架将能值理论与实证建模相结合，为低碳建设和政策规范提供了科学依据和实用工具。

{"title":"Sustainability assessment on green construction using a novel analytical framework integrating machine learning and emergy analysis","authors":"Lin Chen , Lepeng Huang , Xiang Li , Zimeng Chen , Kok Sin Woon , Pow-Seng Yap , Jianmin Hua , Liang Dong , Jinbing Wang , Jingzhen Chen","doi":"10.1016/j.dibe.2025.100797","DOIUrl":"10.1016/j.dibe.2025.100797","url":null,"abstract":"<div><div>Carbon emissions from building construction phase contribute 26.6 % of China's energy-related carbon emissions, yet their assessment remains a key scientific and engineering challenge. Existing systems depend on subjective weighting and linear assumptions, failing to capture the nonlinear relationship between resource inputs and emissions. This study establishes a data-driven sustainability assessment framework for green construction integrating emergy theory and machine learning. Based on data from 5110 buildings across 190 projects, six algorithms (DT, LightGBM, CatBoost, XGBoost, RF, ET) were used to build emergy–carbon emission regression models. The ET model achieved the best performance (<em>R</em><sup>2</sup> = 0.9714), effectively characterizing the nonlinear interactions between emergy inputs and emissions. Purchased and non-renewable emergy drive emissions, while renewable emergy mitigates them. The emergy sustainability index correlates strongly with emissions, serving as an objective evaluation metric. This framework connects emergy theory with empirical modeling, supporting a scientific basis and practical tool for low-carbon construction and policy standardization.</div></div>","PeriodicalId":34137,"journal":{"name":"Developments in the Built Environment","volume":"24 ","pages":"Article 100797"},"PeriodicalIF":8.2,"publicationDate":"2025-11-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145520161","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

A surrogate modeling approach for evaluating the shading effect on building energy performance 评估遮阳对建筑能源性能影响的替代建模方法

IF 8.2 2区工程技术 Q1 CONSTRUCTION & BUILDING TECHNOLOGY

Developments in the Built Environment

Pub Date : 2025-11-05 DOI: 10.1016/j.dibe.2025.100796

Wonjae Yoo , Hyoungsub Kim

This study presents a novel surrogate modeling approach to predict indoor thermal environments in dense urban contexts. By explicitly incorporating key shading parameters—average surface Sky View Factor (SVF) and sunlight hours (SH)—the model addresses limitations in conventional surrogates that overlook or simplify surrounding configurations. Indoor air temperature was selected as the primary output metric to directly capture thermal responses to urban geometry without the confounding effects of building systems. Validation results show high accuracy (MAPE: 1.25 %, MAE: 0.215 °C). Sensitivity analysis confirms that excluding SVF or SH significantly degrades predictive performance (MAPE increases of 8.87 % and 6.86 %, respectively). In fixed urban contexts, core zone volume becomes the dominant factor, while west-facing zones show highest sensitivity to shading effects—revealing how variable importance shifts across different urban configurations. These findings underscore the critical role of SVF and SH in capturing the shading effects essential for accurate indoor temperature prediction.

本研究提出了一种新的替代模型方法来预测密集城市环境中的室内热环境。通过明确地结合关键的遮阳参数——平均表面天空视图因子（SVF）和日照时数（SH）——该模型解决了传统替代方法忽略或简化周围配置的局限性。室内空气温度被选为主要输出指标，以直接捕捉城市几何形状的热响应，而不受建筑系统的混杂影响。验证结果具有较高的准确性（MAPE: 1.25 %,MAE: 0.215 °C）。敏感性分析证实，排除SVF或SH显著降低了预测性能（MAPE分别增加8.87 %和6.86 %）。在固定的城市环境中，核心区的体量成为主导因素，而朝西的区域对遮阳效果表现出最高的敏感性，揭示了不同城市配置中不同重要性的变化。这些发现强调了SVF和SH在捕捉遮阳效应方面的关键作用，这对准确的室内温度预测至关重要。

{"title":"A surrogate modeling approach for evaluating the shading effect on building energy performance","authors":"Wonjae Yoo , Hyoungsub Kim","doi":"10.1016/j.dibe.2025.100796","DOIUrl":"10.1016/j.dibe.2025.100796","url":null,"abstract":"<div><div>This study presents a novel surrogate modeling approach to predict indoor thermal environments in dense urban contexts. By explicitly incorporating key shading parameters—average surface Sky View Factor (SVF) and sunlight hours (SH)—the model addresses limitations in conventional surrogates that overlook or simplify surrounding configurations. Indoor air temperature was selected as the primary output metric to directly capture thermal responses to urban geometry without the confounding effects of building systems. Validation results show high accuracy (MAPE: 1.25 %, MAE: 0.215 °C). Sensitivity analysis confirms that excluding SVF or SH significantly degrades predictive performance (MAPE increases of 8.87 % and 6.86 %, respectively). In fixed urban contexts, core zone volume becomes the dominant factor, while west-facing zones show highest sensitivity to shading effects—revealing how variable importance shifts across different urban configurations. These findings underscore the critical role of SVF and SH in capturing the shading effects essential for accurate indoor temperature prediction.</div></div>","PeriodicalId":34137,"journal":{"name":"Developments in the Built Environment","volume":"24 ","pages":"Article 100796"},"PeriodicalIF":8.2,"publicationDate":"2025-11-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145520158","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

Valorization of discarded egg whites as additives for sustainable mudbrick manufacturing: Technical and environmental evaluation 废弃蛋清作为可持续泥砖生产添加剂的价值评价：技术和环境评价

IF 8.2 2区工程技术 Q1 CONSTRUCTION & BUILDING TECHNOLOGY

Developments in the Built Environment

Pub Date : 2025-11-05 DOI: 10.1016/j.dibe.2025.100795

Mudasir Hussain , Zhongnan Ye

Mudbricks offer environmental advantages over fired bricks due to low embodied energy and absence of kiln firing, but suffer from poor compressive strength, water susceptibility, and limited durability. This study investigates waste egg whites from food industry as a sustainable reinforcing agent for mudbricks. Sustainable mudbricks were prepared using 79–90 wt% soil, 7 wt% water, 3–7 wt% egg whites, and 7 wt% neutralizing agents (H₂SO₄, CaSO₄.2H₂O, or C₆H₆). Specimens were air-cured for 28 days at 25 ± 2 °C; control bricks were kiln-fired at 900 °C. The optimal formulation (7 wt% egg white) achieved 5.47 MPa compressive strength—doubling the control (2.27 MPa)—with 1540.84 kg/m³ dry density, 0.6 % reduced water absorption, enhanced hardness (5.5), no efflorescence, and chemical stability. Cradle-to-site life cycle assessment revealed 98.87 % lower environmental impact than fired bricks across 18 categories, demonstrating waste egg whites as a viable sustainable alternative for mudbrick production.

泥砖比烧结砖具有环境优势，因为它的蕴含能量低，无需烧结窑，但其抗压强度差，易受水影响，耐久性有限。研究了食品工业的废蛋清作为泥砖的可持续增强剂。用79-90 wt%的土壤、7 wt%的水、3-7 wt%的蛋清和7 wt%的中和剂（H2SO4、CaSO4.2H2O或C6H6）制备可持续泥砖。标本在25 ± 2 °C下风干28天；对照砖在900 °C的温度下烧制。最佳配方（7 wt%蛋清）的抗压强度为5.47 MPa，是对照（2.27 MPa）的两倍，干密度为1540.84 kg/m3，吸水率降低0.6 %，硬度提高（5.5），不发花，化学稳定性好。从摇篮到现场的生命周期评估显示，在18个类别中，废蛋清对环境的影响比烧制砖低98.87 %，这表明废蛋清是泥砖生产的可行可持续替代品。

{"title":"Valorization of discarded egg whites as additives for sustainable mudbrick manufacturing: Technical and environmental evaluation","authors":"Mudasir Hussain , Zhongnan Ye","doi":"10.1016/j.dibe.2025.100795","DOIUrl":"10.1016/j.dibe.2025.100795","url":null,"abstract":"<div><div>Mudbricks offer environmental advantages over fired bricks due to low embodied energy and absence of kiln firing, but suffer from poor compressive strength, water susceptibility, and limited durability. This study investigates waste egg whites from food industry as a sustainable reinforcing agent for mudbricks. Sustainable mudbricks were prepared using 79–90 wt% soil, 7 wt% water, 3–7 wt% egg whites, and 7 wt% neutralizing agents (H<sub>2</sub>SO<sub>4</sub>, CaSO<sub>4</sub>.2H<sub>2</sub>O, or C<sub>6</sub>H<sub>6</sub>). Specimens were air-cured for 28 days at 25 ± 2 °C; control bricks were kiln-fired at 900 °C. The optimal formulation (7 wt% egg white) achieved 5.47 MPa compressive strength—doubling the control (2.27 MPa)—with 1540.84 kg/m<sup>3</sup> dry density, 0.6 % reduced water absorption, enhanced hardness (5.5), no efflorescence, and chemical stability. Cradle-to-site life cycle assessment revealed 98.87 % lower environmental impact than fired bricks across 18 categories, demonstrating waste egg whites as a viable sustainable alternative for mudbrick production.</div></div>","PeriodicalId":34137,"journal":{"name":"Developments in the Built Environment","volume":"24 ","pages":"Article 100795"},"PeriodicalIF":8.2,"publicationDate":"2025-11-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145520156","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

Displacement monitoring of modular formwork in sustainable concrete fabrication using 3D laserscanning 三维激光扫描技术在可持续混凝土制造中的模组模板位移监测

IF 8.2 2区工程技术 Q1 CONSTRUCTION & BUILDING TECHNOLOGY

Developments in the Built Environment

Pub Date : 2025-11-04 DOI: 10.1016/j.dibe.2025.100794

Peter Gappmaier , Sara Reichenbach , Mathias Hammerl , Johannes Kirnbauer , Benjamin Kromoser

The concrete industry faces major challenges, including high carbon emissions, labour shortages, and stagnating productivity. This study presents a novel modular, reusable formwork system designed for integration into automated mass production of concrete elements, enabling efficient formation of internal voids. The system, composed of reconfigurable modules, is engineered to withstand real-world casting conditions and support automation. A representative test setup was used to assess its dimensional and positional stability during curing, with a focus on shrinkage-induced effects. High-resolution 3D laser scanning tracked displacements and rotations of modules throughout the curing cycle. Results show the system maintains dimensional accuracy within tolerances and allows for practical manual assembly and disassembly. Shrinkage effects were minor compared to deviations from vibration compaction. Future work includes refining point cloud analysis and adapting the system for alternative materials. The study lays the groundwork for fully automated implementation, including robotic placement using a six-axis industrial robot.

混凝土行业面临着重大挑战，包括高碳排放、劳动力短缺和生产率停滞不前。本研究提出了一种新颖的模块化、可重复使用的模板系统，旨在集成到混凝土构件的自动化大规模生产中，从而有效地形成内部空隙。该系统由可重构模块组成，可承受真实铸造条件并支持自动化。采用具有代表性的试验装置来评估其在固化过程中的尺寸和位置稳定性，重点是收缩引起的影响。高分辨率3D激光扫描在整个固化周期内跟踪模块的位移和旋转。结果表明，该系统保持尺寸精度在公差范围内，并允许实际的手动组装和拆卸。与振动压实的偏差相比，收缩效应较小。未来的工作包括改进点云分析和使系统适应替代材料。这项研究为完全自动化的实施奠定了基础，包括使用六轴工业机器人放置机器人。

{"title":"Displacement monitoring of modular formwork in sustainable concrete fabrication using 3D laserscanning","authors":"Peter Gappmaier , Sara Reichenbach , Mathias Hammerl , Johannes Kirnbauer , Benjamin Kromoser","doi":"10.1016/j.dibe.2025.100794","DOIUrl":"10.1016/j.dibe.2025.100794","url":null,"abstract":"<div><div>The concrete industry faces major challenges, including high carbon emissions, labour shortages, and stagnating productivity. This study presents a novel modular, reusable formwork system designed for integration into automated mass production of concrete elements, enabling efficient formation of internal voids. The system, composed of reconfigurable modules, is engineered to withstand real-world casting conditions and support automation. A representative test setup was used to assess its dimensional and positional stability during curing, with a focus on shrinkage-induced effects. High-resolution 3D laser scanning tracked displacements and rotations of modules throughout the curing cycle. Results show the system maintains dimensional accuracy within tolerances and allows for practical manual assembly and disassembly. Shrinkage effects were minor compared to deviations from vibration compaction. Future work includes refining point cloud analysis and adapting the system for alternative materials. The study lays the groundwork for fully automated implementation, including robotic placement using a six-axis industrial robot.</div></div>","PeriodicalId":34137,"journal":{"name":"Developments in the Built Environment","volume":"24 ","pages":"Article 100794"},"PeriodicalIF":8.2,"publicationDate":"2025-11-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145568187","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

Effect of biochar on the mechanical properties of MgO activated slag stabilized slurry soil 生物炭对MgO活性渣稳定浆土力学性能的影响

IF 8.2 2区工程技术 Q1 CONSTRUCTION & BUILDING TECHNOLOGY

Developments in the Built Environment

Pub Date : 2025-11-01 DOI: 10.1016/j.dibe.2025.100789

Xia Bian , Haichen Wang , Xiusong Shi , Weiheng Peng , Guizhong Xu , Chengchun Qiu

This study evaluates biochar's impact on MgO-slag stabilized slurry soil using physical, mechanical, and microstructural analyses (unconfined compressive strength tests, one-dimensional compression tests, X-ray diffraction (XRD), and scanning electron microscopy (SEM). Results show biochar significantly reduces stabilized soil density and post-curing water content. Soil pH decreased initially (0–10 % biochar), then increased (10–20 %), stabilizing beyond 20 %. Unconfined compressive strength (UCS) follows pH trends, indicating strength gains arise from supplementary reactions. Hence, an optimal biochar content of 20 % is identified with 48.1 % increase of 28-day UCS compared to biochar-free samples. Compression index (Cc) also shows a significantly improvement, decreased by 24.1 % (14-day) and 23.4 % (28-day) with 20 % biochar. Microstructural analysis revealed optimal biochar content enhances cementitious phase organization (e.g., C-S-H, hydrotalcite) and refines pores by absorbing free water and acting as nucleation sites. Optimized biochar integration thus improves mechanical performance, offering a low-carbon strategy for sustainable reuse of underground excavation slurries.

本研究通过物理、力学和微观结构分析（无侧限抗压强度测试、一维压缩测试、x射线衍射（XRD）和扫描电子显微镜（SEM））来评估生物炭对镁渣稳定浆土的影响。结果表明，生物炭显著降低了稳定土密度和固化后含水量。土壤pH值先降低（0-10 %生物炭），后升高（10-20 %），稳定在20 %以上。无侧限抗压强度（UCS）遵循pH值的趋势，表明强度的增加是由补充反应引起的。因此，与不含生物炭的样品相比，最佳生物炭含量为20 %，28天UCS增加48.1% %。压缩指数（Cc）也有显著改善，与20% %的生物炭相比，压缩指数（Cc）降低了24.1% %（14天）和23.4% %（28天）。微观结构分析表明，最佳的生物炭含量增强了胶凝相组织（如C-S-H、水滑石），并通过吸收游离水和充当成核位点来细化孔隙。因此，优化的生物炭整合提高了机械性能，为地下挖掘浆料的可持续再利用提供了低碳策略。

{"title":"Effect of biochar on the mechanical properties of MgO activated slag stabilized slurry soil","authors":"Xia Bian , Haichen Wang , Xiusong Shi , Weiheng Peng , Guizhong Xu , Chengchun Qiu","doi":"10.1016/j.dibe.2025.100789","DOIUrl":"10.1016/j.dibe.2025.100789","url":null,"abstract":"<div><div>This study evaluates biochar's impact on MgO-slag stabilized slurry soil using physical, mechanical, and microstructural analyses (unconfined compressive strength tests, one-dimensional compression tests, X-ray diffraction (XRD), and scanning electron microscopy (SEM). Results show biochar significantly reduces stabilized soil density and post-curing water content. Soil pH decreased initially (0–10 % biochar), then increased (10–20 %), stabilizing beyond 20 %. Unconfined compressive strength (UCS) follows pH trends, indicating strength gains arise from supplementary reactions. Hence, an optimal biochar content of 20 % is identified with 48.1 % increase of 28-day UCS compared to biochar-free samples. Compression index (<em>Cc</em>) also shows a significantly improvement, decreased by 24.1 % (14-day) and 23.4 % (28-day) with 20 % biochar. Microstructural analysis revealed optimal biochar content enhances cementitious phase organization (e.g., C-S-H, hydrotalcite) and refines pores by absorbing free water and acting as nucleation sites. Optimized biochar integration thus improves mechanical performance, offering a low-carbon strategy for sustainable reuse of underground excavation slurries.</div></div>","PeriodicalId":34137,"journal":{"name":"Developments in the Built Environment","volume":"24 ","pages":"Article 100789"},"PeriodicalIF":8.2,"publicationDate":"2025-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145466184","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

A systematic investigation of group differences in crossed effects of indoor environmental parameters on human comfort in open-plan offices in severe cold regions 严寒地区开放式办公室室内环境参数交叉效应组间差异的系统研究

IF 8.2 2区工程技术 Q1 CONSTRUCTION & BUILDING TECHNOLOGY

Developments in the Built Environment

Pub Date : 2025-11-01 DOI: 10.1016/j.dibe.2025.100792

Zheng Li , Guoqing Song , Qingwen Zhang , Yuliang Liu , Jiangtao Yu , Feng Fan

This study examined group differences in the crossed effects of indoor environmental parameters on human comfort in open-plan offices in severe cold regions, considering gender, age, education, BMI and seating location. Field measurements of thermal, acoustic, air quality, and lighting conditions were conducted in 22 offices with 1352 surveys. Thermal comfort was affected by illumination: at 20–23 °C, higher illuminance reduced thermal comfort, whereas lower illuminance enhanced coolness perception. Females tolerated higher CO₂ (>1200 ppm) and noise (>52 dB) at low temperatures. Participants over 25 years old were more sensitive to the temperature–light crossed effect, and those with doctoral degrees were more responsive to air quality. Underweight subjects’ comfort was linked to PM_2.5 concentration, while overweight subjects preferred low temperature and low light. For subjects near windows, low illumination improved thermal comfort in warm conditions, and for subjects near doors, low temperatures improved air quality comfort under high pollutants.

本研究考察了严寒地区开放式办公室室内环境参数对人体舒适度交叉效应的组间差异，考虑了性别、年龄、教育程度、身体质量指数和座位位置。本署在22间办事处进行了1352次实地调查，测量了热、声、空气质素和照明情况。热舒适受照度的影响：在20-23 °C时，较高的照度会降低热舒适，而较低的照度会增强凉爽感。雌性在低温下可以忍受更高的二氧化碳（>1200 ppm）和噪音（>52 dB）。25岁以上的参与者对光温交叉效应更敏感，博士学位的参与者对空气质量的反应更敏感。体重过轻的受试者的舒适度与PM2.5浓度有关，而体重过重的受试者更喜欢低温和弱光。对于靠近窗户的受试者，低照度改善了温暖条件下的热舒适，而对于靠近门的受试者，低温改善了高污染物下的空气质量舒适度。

{"title":"A systematic investigation of group differences in crossed effects of indoor environmental parameters on human comfort in open-plan offices in severe cold regions","authors":"Zheng Li , Guoqing Song , Qingwen Zhang , Yuliang Liu , Jiangtao Yu , Feng Fan","doi":"10.1016/j.dibe.2025.100792","DOIUrl":"10.1016/j.dibe.2025.100792","url":null,"abstract":"<div><div>This study examined group differences in the crossed effects of indoor environmental parameters on human comfort in open-plan offices in severe cold regions, considering gender, age, education, BMI and seating location. Field measurements of thermal, acoustic, air quality, and lighting conditions were conducted in 22 offices with 1352 surveys. Thermal comfort was affected by illumination: at 20–23 °C, higher illuminance reduced thermal comfort, whereas lower illuminance enhanced coolness perception. Females tolerated higher CO<sub>2</sub> (>1200 ppm) and noise (>52 dB) at low temperatures. Participants over 25 years old were more sensitive to the temperature–light crossed effect, and those with doctoral degrees were more responsive to air quality. Underweight subjects’ comfort was linked to PM<sub>2.5</sub> concentration, while overweight subjects preferred low temperature and low light. For subjects near windows, low illumination improved thermal comfort in warm conditions, and for subjects near doors, low temperatures improved air quality comfort under high pollutants.</div></div>","PeriodicalId":34137,"journal":{"name":"Developments in the Built Environment","volume":"24 ","pages":"Article 100792"},"PeriodicalIF":8.2,"publicationDate":"2025-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145466185","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

Thermomechanical loading scenarios of habitat structures on Mars: Experimental material characterization and numerical assessment of sulfur-concrete constructions 火星上居住结构的热机械载荷情景：硫混凝土结构的实验材料表征和数值评估

IF 8.2 2区工程技术 Q1 CONSTRUCTION & BUILDING TECHNOLOGY

Developments in the Built Environment

Pub Date : 2025-11-01 DOI: 10.1016/j.dibe.2025.100793

Sophie H. Gruber , Manuel Bode , Thomas Marcher , Roman Lackner

Crewed missions to Mars will require the construction of habitable structures using locally available materials due to limited cargo capacity from Earth. Both sulfur and regolith are abundant on Mars and can be processed to sulfur-concrete via melting of sulfur. This article investigates thermal and mechanical properties of three sulfur-concrete mixtures containing either Mars regolith simulant or standard sand. With average temperatures of about -60 °C and approx. 1/3 of the gravity we experience on Earth, Mars poses new challenges to construction materials. Based on experiment data, a regolith covered sulfur-concrete cupola on Mars is modeled to investigate the impact of thermal load cases. These include internal heating to 290 K (

\approx

17 °C) and exposure to a one-year Martian temperature cycle from outside. Results reveal the level of loading experienced by the cupola (utilization in tension, risk of material failure), offering insights into potential improvements of material/structural performance.

由于地球的货运能力有限，前往火星的载人任务将需要使用当地可用的材料建造可居住的结构。火星上的硫和风化层都很丰富，可以通过硫的熔化加工成硫混凝土。本文研究了含火星风化层模拟物和标准砂的三种硫-混凝土混合物的热力学性能。平均气温约为-60°C，约为。火星的重力是地球的1/3，对建筑材料提出了新的挑战。在实验数据的基础上，对火星上一个覆盖了风化层的硫磺混凝土冲天炉进行了建模，研究了热载荷情况对冲天炉的影响。其中包括内部加热到290 K(≈17°C)，并从外部暴露在火星一年的温度循环中。结果揭示了冲天炉所经历的载荷水平（张力利用率，材料失效风险），为材料/结构性能的潜在改进提供了见解。

{"title":"Thermomechanical loading scenarios of habitat structures on Mars: Experimental material characterization and numerical assessment of sulfur-concrete constructions","authors":"Sophie H. Gruber , Manuel Bode , Thomas Marcher , Roman Lackner","doi":"10.1016/j.dibe.2025.100793","DOIUrl":"10.1016/j.dibe.2025.100793","url":null,"abstract":"<div><div>Crewed missions to Mars will require the construction of habitable structures using locally available materials due to limited cargo capacity from Earth. Both sulfur and regolith are abundant on Mars and can be processed to sulfur-concrete via melting of sulfur. This article investigates thermal and mechanical properties of three sulfur-concrete mixtures containing either Mars regolith simulant or standard sand. With average temperatures of about -60°C and approx. 1/3 of the gravity we experience on Earth, Mars poses new challenges to construction materials. Based on experiment data, a regolith covered sulfur-concrete cupola on Mars is modeled to investigate the impact of thermal load cases. These include internal heating to 290K (<span><math><mo>≈</mo></math></span>17°C) and exposure to a one-year Martian temperature cycle from outside. Results reveal the level of loading experienced by the cupola (utilization in tension, risk of material failure), offering insights into potential improvements of material/structural performance.</div></div>","PeriodicalId":34137,"journal":{"name":"Developments in the Built Environment","volume":"24 ","pages":"Article 100793"},"PeriodicalIF":8.2,"publicationDate":"2025-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145466183","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

Gaps in the machine-interpretability of ISO 22057 EPDs: identification and proposals for a revised international standard ISO 22057 epd在机器可解释性上的差距：识别和修订国际标准的建议

IF 8.2 2区工程技术 Q1 CONSTRUCTION & BUILDING TECHNOLOGY

Developments in the Built Environment

Pub Date : 2025-10-29 DOI: 10.1016/j.dibe.2025.100790

A. Aragón , O. Nieto , A. Rønning , E. Schulze , M.G. Alberti , R.M. Pavón

This research addresses the existing gaps in the incorporation of EPDs (environmental product declarations) digitalized according to the international standard ISO 22057 into the software tools used for sustainability assessment of buildings and infrastructures. The objective is to reduce the resources required for the transfer of EPD data into digital models.

The analysis included a scientific literature review, the assessments of published digital EPDs and the feedback from practitioners in the fields of LCA and BIM, based on a survey conducted in the international and European standardization committees and the replies from 45 experts.

This study identified nineteen gaps, with each gap receiving a thorough assessment, resulting in specific recommendations and future research directions. The solutions are presented in a structured manner to facilitate their implementation in the revision of ISO 22057.

The research was conducted for construction products’ environmental data, but most of the solutions are transferable to other types of product data and various sectors, thus extending beyond the construction industry.

本研究解决了将epd（环境产品声明）根据国际标准ISO 22057数字化纳入用于建筑物和基础设施可持续性评估的软件工具中的现有差距。目标是减少将环境保护局数据转换为数字模型所需的资源。根据国际和欧洲标准化委员会进行的一项调查以及45位专家的答复，分析包括科学文献综述、已发布的数字epd评估以及LCA和BIM领域从业者的反馈。本研究确定了19个差距，每个差距都得到了彻底的评估，得出了具体的建议和未来的研究方向。这些解决方案以结构化的方式呈现，以促进其在ISO 22057修订中的实施。本研究是针对建筑产品的环境数据进行的，但大多数解决方案都可以转移到其他类型的产品数据和各个部门，从而延伸到建筑行业之外。

{"title":"Gaps in the machine-interpretability of ISO 22057 EPDs: identification and proposals for a revised international standard","authors":"A. Aragón , O. Nieto , A. Rønning , E. Schulze , M.G. Alberti , R.M. Pavón","doi":"10.1016/j.dibe.2025.100790","DOIUrl":"10.1016/j.dibe.2025.100790","url":null,"abstract":"<div><div>This research addresses the existing gaps in the incorporation of EPDs (environmental product declarations) digitalized according to the international standard ISO 22057 into the software tools used for sustainability assessment of buildings and infrastructures. The objective is to reduce the resources required for the transfer of EPD data into digital models.</div><div>The analysis included a scientific literature review, the assessments of published digital EPDs and the feedback from practitioners in the fields of LCA and BIM, based on a survey conducted in the international and European standardization committees and the replies from 45 experts.</div><div>This study identified nineteen gaps, with each gap receiving a thorough assessment, resulting in specific recommendations and future research directions. The solutions are presented in a structured manner to facilitate their implementation in the revision of ISO 22057.</div><div>The research was conducted for construction products’ environmental data, but most of the solutions are transferable to other types of product data and various sectors, thus extending beyond the construction industry.</div></div>","PeriodicalId":34137,"journal":{"name":"Developments in the Built Environment","volume":"24 ","pages":"Article 100790"},"PeriodicalIF":8.2,"publicationDate":"2025-10-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145520157","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