Developments in the Built Environment最新文献_第8页

Effect of blending PVAF and BF on mechanical properties and microstructures of UHPC under high temperature curing PVAF和BF共混对高温固化UHPC力学性能和显微组织的影响

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

Developments in the Built Environment

Pub Date : 2025-11-13 DOI: 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.

研究了聚乙烯醇纤维（PVAF）与玄武岩纤维（BF）共混对高温固化UHPC力学性能和微观结构的影响。结果表明：PVAF与BF的掺量为2 %时，UHPC的抗压强度随BF掺量的增加而降低；较低的BF含量显著提高了UHPC的抗弯强度。当BF含量为0.5 %，PVAF含量为1.5 %时，UHPC的抗弯强度达到最大。同时，当PVAF含量为0.5 %，BF含量为1.5 %时，UHPC在高温养护下的抗拉强度达到最大值10.2 MPa。与未添加纤维的UHPC相比，其抗拉强度提高了75.9% %，优于只添加PVAF的UHPC和只添加BF的UHPC。PVAF与BF的交织可以形成更致密的补强网络，共同承担拉应力，进一步提高了UHPC的抗拉强度。PVAF的成核作用可以加速水泥水化生成更多的C-S-H，高温在一定程度上促进了高炉周围水泥的水化。

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引用次数: 0

Mechanical behavior and microstructural degradation of basalt fiber reinforced seawater sea sand concrete after high-temperature exposure 玄武岩纤维增强海水海砂混凝土高温暴露后力学行为及细观结构退化

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

Developments in the Built Environment

Pub Date : 2025-11-12 DOI: 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.

海水海砂混凝土（SWSSC）因其绿色和可持续的特性而受到海洋工程领域的关注，但其高温性能和纤维效应尚未得到充分的研究。本研究检测了23-800 °C温度下纤维含量为0.1 % -0.4 %的SWSSC和玄武岩纤维增强SWSSC （SWSSC- b）。通过压缩和劈裂拉伸试验，结合SEM和XRD分析，研究了材料的力学和微观组织演变。结果表明：随着温度的升高，抗压强度先下降后略有恢复，然后急剧下降，而抗拉强度则由于C-S-H的脱水以及AFt、Friedel's盐和Ca(OH)2的分解而持续下降。加入玄武岩纤维减轻了降解；在600 ℃时，添加0.2 %含量的SWSSC的抗压强度和抗拉强度分别比未加筋的SWSSC提高了65.5 %和14 %。光纤桥接网络延缓了裂纹扩展，保持了结构的完整性。本研究为提高SWSSC结构的耐火性能提供了实验依据和理论见解。

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引用次数: 0

Stormwater management using pervious geopolymer concrete with recycled aggregates: Leaching potential and contaminant removal efficiency 使用含再生骨料的透水地聚合物混凝土进行雨水管理：浸出潜力和污染物去除效率

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

Developments in the Built Environment

Pub Date : 2025-11-12 DOI: 10.1016/j.dibe.2025.100798

Faiz Habib Anwar , Hilal El-Hassan , Mohamed Hamouda

Pervious geopolymer concrete (PGC), known for its high hydraulic permeability and pollutant adsorption, has emerged as a sustainable solution to mitigate stormwater runoff, pollutant transport, and reduce the global warming potential (GWP) of pavements. Its sustainability can be further enhanced by incorporating recycled concrete aggregate (RCA). This combined use of geopolymer binders and RCA to produce pervious geopolymer recycled aggregates concrete (PGRAC) remains underexplored. This study evaluates the performance of PGRAC in improving stormwater quality, assessing both contaminant leaching and removal. Experimental parameters included binder blends, design porosity, and RCA content. Mechanical and hydraulic tests confirmed that all mixes achieved adequate performance for pavement use. All mixes exhibited low leaching potential for most heavy metals, below regulatory limits, except for Boron. Mixes with 10 % porosity and 100 % RCA demonstrated superior contaminant removal due to enhanced pore structure, but were more susceptible to clogging. Overall, PGRAC demonstrated strong sustainability potential.

透水地聚合物混凝土（PGC）以其高水力渗透性和污染物吸附性而闻名，已成为缓解雨水径流、污染物运输和降低路面全球变暖潜能值（GWP）的可持续解决方案。它的可持续性可以通过加入再生混凝土骨料（RCA）进一步增强。这种结合使用地聚合物粘合剂和RCA来生产透水地聚合物再生骨料混凝土（PGRAC）的方法仍未得到充分开发。本研究评估了PGRAC在改善雨水水质方面的表现，评估了污染物的浸出和去除。实验参数包括粘合剂共混、设计孔隙率和RCA含量。机械和水力测试证实，所有混合料都达到了路面使用的适当性能。除硼外，所有混合物对大多数重金属的浸出潜力都很低，低于规定限度。孔隙率为10% %和RCA为100% %的混合物由于孔隙结构增强，表现出优异的污染物去除率，但更容易堵塞。总体而言，PGRAC显示出强大的可持续性潜力。

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引用次数: 0

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。

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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。

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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。

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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。

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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。

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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。

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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。

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引用次数: 0