Journal of building engineering最新文献_第10页

Influence of steel-polypropylene hybrid fibers on fatigue life of ultra-high performance concrete containing coarse aggregate subject to compressive cyclic loading 钢-聚丙烯混杂纤维对含粗集料超高性能混凝土循环压缩疲劳寿命的影响

IF 7.4 2区工程技术 Q1 CONSTRUCTION & BUILDING TECHNOLOGY

Journal of building engineering

Pub Date : 2026-02-15 DOI: 10.1016/j.jobe.2026.115408

Lihua Xu , Chenglei Liu , Yulei Huang , Kai Cui , Yin Chi

The integration of coarse aggregates within ultra-high performance concrete (UHPC) can remarkably reduce the amount of cement, thereby contributing to lower carbon footprint and improved cost-effectiveness. This paper introduces a steel-polypropylene hybrid fiber reinforcement approach that substantially prolongs the fatigue life of UHPC containing coarse aggregates (UHPC-CA). In this work, we systematically examined the compressive fatigue properties of UHPC-CA reinforced with hybrid fibers (SP-UHPC-CA). 30 groups of UHPC specimens subject to various stress levels were tested, with an emphasis on unveiling the impact of coarse aggregate (CA), steel fiber (SF), and polypropylene fiber (PF) on the UHPC's fatigue life. The results have indicated that the presence of SF alters the fatigue failure mode of UHPC specimen from splitting failure to oblique shear failure. In addition, the UHPC's fatigue life presents a downward trend with an increase in CA volume fraction, and its fatigue life exhibits a positive correlation with an increase in SF volume fraction from 0 to 3 %, while an increase in PF volume fraction from 0 to 0.2 % results in the fatigue life exhibiting a trend of rising initially followed by a decline. Furthermore, the incorporation of hybrid fibers can generate a positive synergetic effect, thereby further increasing the UHPC's fatigue life. Finally, a probabilistic model has been developed to describe the probability distribution of SP-UHPC-CA's fatigue life at various stress levels. This model yields accurate predictions that are in close alignment with a broad spectrum of experimental results, demonstrating its wide applicability in estimating the UHPC's fatigue life under compressive cyclic loading.

在超高性能混凝土（UHPC）中集成粗骨料可以显著减少水泥的用量，从而有助于降低碳足迹并提高成本效益。本文介绍了一种钢-聚丙烯混杂纤维增强方法，该方法可大大延长含粗集料的超高性能混凝土（UHPC- ca）的疲劳寿命。在这项工作中，我们系统地研究了混杂纤维增强UHPC-CA （SP-UHPC-CA）的压缩疲劳性能。对30组不同应力水平下的UHPC试件进行了试验，重点研究了粗骨料（CA）、钢纤维（SF）和聚丙烯纤维（PF）对UHPC疲劳寿命的影响。结果表明，SF的存在使UHPC试件的疲劳破坏模式由劈裂破坏转变为斜剪破坏。随着CA体积分数的增加，UHPC的疲劳寿命呈下降趋势；随着SF体积分数从0 ~ 3%的增加，UHPC的疲劳寿命呈先上升后下降的趋势，而PF体积分数从0 ~ 0.2%的增加，UHPC的疲劳寿命呈先上升后下降的趋势。此外，混杂纤维的掺入可以产生积极的协同效应，从而进一步提高UHPC的疲劳寿命。最后，建立了SP-UHPC-CA在不同应力水平下疲劳寿命的概率分布模型。该模型给出的准确预测与广泛的实验结果非常接近，证明了其在估计UHPC在压缩循环载荷下的疲劳寿命方面的广泛适用性。

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引用次数: 0

A data-driven predictive maintenance framework for smart buildings: Integrating digital twin and machine learning in HVAC systems 智能建筑数据驱动的预测性维护框架：在暖通空调系统中集成数字孪生和机器学习

IF 7.4 2区工程技术 Q1 CONSTRUCTION & BUILDING TECHNOLOGY

Journal of building engineering

Pub Date : 2026-02-15 DOI: 10.1016/j.jobe.2026.115416

Ruonan Wang

To address the inefficiency and sustainability limitations of conventional building operation models, this study proposes an intelligent predictive maintenance framework for HVAC systems in commercial complexes, integrating digital twin technology and machine learning. The system is built on a four-layer architecture comprising physical entities, a virtual model, data connectivity, and service applications. A hybrid modeling approach establishes a high-fidelity digital twin, while an ensemble learning strategy combining CNN, LSTM, and SVM is employed for fault diagnosis. Maintenance decisions are optimized through deep reinforcement learning with explicitly calibrated reward functions. Comprehensive data preprocessing and a dual-validated labeling protocol ensure training quality across six fault categories. Empirical validation demonstrates a fault detection accuracy of 96.3 %, a 32.7 % reduction in maintenance costs, a 45.3 % extension in mean time between failures, and a decrease in annual energy intensity from 152.3 to 138.7 kWh/m². The edge-cloud architecture maintains an 87 ms latency, supporting real-time responsiveness. Economic analysis indicates a 2.3-year payback period, while the achieved energy savings and CO₂ reduction align with ASHRAE, ISO 52120, and GHG Protocol standards. Although validated in a single-building subtropical context, this research provides a transferable, data-driven framework to enhance operational efficiency, cost-effectiveness, and environmental performance in intelligent buildings, contributing directly to carbon-neutrality objectives in the built environment.

为了解决传统建筑运行模式的低效率和可持续性限制，本研究提出了一个集成数字孪生技术和机器学习的商业综合体暖通空调系统智能预测性维护框架。该系统采用四层架构，包括物理实体、虚拟模型、数据连接和业务应用。采用混合建模方法建立高保真数字孪生模型，采用CNN、LSTM和SVM相结合的集成学习策略进行故障诊断。维护决策通过深度强化学习和明确校准的奖励函数来优化。全面的数据预处理和双重验证的标记协议确保了六个故障类别的训练质量。经验验证表明，故障检测准确率为96.3%，维护成本降低32.7%，平均故障间隔时间延长45.3%，年能源强度从152.3千瓦时/平方米降低到138.7千瓦时/平方米。边缘云架构保持了87毫秒的延迟，支持实时响应。经济分析表明，投资回收期为2.3年，而实现的节能和二氧化碳减排符合ASHRAE， ISO 52120和温室气体协议标准。虽然在单一建筑的亚热带环境中得到验证，但本研究提供了一个可转移的、数据驱动的框架，以提高智能建筑的运营效率、成本效益和环境绩效，直接为建筑环境中的碳中和目标做出贡献。

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引用次数: 0

Comprehensive performance evaluation of cement bottom ash mortar columns for supporting building foundations 水泥底灰砂浆柱支撑建筑基础的综合性能评价

IF 7.4 2区工程技术 Q1 CONSTRUCTION & BUILDING TECHNOLOGY

Journal of building engineering

Pub Date : 2026-02-15 DOI: 10.1016/j.jobe.2026.115406

Arshad Ullah , Yu Huang , Azman Kassim , Ahmad Safuan A. Rashid , Nor Zurairahetty Mohd Yunus , Muhammad Junaid , Mohammad Jawed Roshan

The growing economy and rapid urbanization have increased the consumption of natural resources in engineering projects, resulting in the depletion of natural aggregates and higher project costs. The use of solid waste as an alternative construction material not only reduces the disposal of solid waste in landfills and their associated environmental and logistical challenges but also decreases natural resource consumption. Therefore, this study investigates the potential of bottom ash (BA) to make novel cement-based semi-rigid inclusion columns (SRIC) for ground improvement supporting building foundations. The comprehensive performance and structural applicability of the cement BA (CBA) were evaluated through unconfined compressive strength (UCS) testing, XRD, SEM and EDX techniques, CO₂ and cost analysis, and numerical modelling. The 28-day UCS values of the specimens M2 and M1 reaches 3.041and 6.938 MPa, respectively, which is 2.94–6.70 times higher than the lowest strength (1.034 MPa) required for a ground improvement project. Improvement in UCS values is also verified by changes in morphology by SEM, XRD, and EDX analysis. The CO₂ and cost analysis demonstrated a significant reduction compared to the traditional materials. The ultimate bearing capacity (q_ult) of the CBA columns reinforced soil underneath rigid footing, enhanced by almost 1.44–1.71 times with varying area replacement ratio (A_r) and undrained shear strength (c_u). Furthermore, a general mathematical equation with R² of 0.92 was developed for predicting the q_ult. The results showed that CBA can serve as a resource-efficient and low-carbon material in ground improvement projects, contributing to environmental protection, waste valorization and sustainable infrastructure development.

经济的发展和城市化的快速发展，增加了工程项目对自然资源的消耗，导致自然骨料的耗竭和工程成本的提高。使用固体废物作为替代建筑材料，不仅减少了在堆填区处置固体废物及其相关的环境和后勤挑战，而且减少了自然资源的消耗。因此，本研究探讨了底灰（BA）制造新型水泥基半刚性夹杂物柱（SRIC）的潜力，以支持建筑基础的地基改善。通过无侧限抗压强度（UCS）测试、XRD、SEM和EDX技术、CO2和成本分析以及数值模拟，对水泥BA （CBA）的综合性能和结构适用性进行了评价。M2和M1试件的28天UCS值分别达到3.041和6.938 MPa，是地基整治工程最低强度（1.034 MPa）的2.94 ~ 6.70倍。通过SEM， XRD和EDX分析的形貌变化也证实了UCS值的改善。二氧化碳和成本分析表明，与传统材料相比，这种材料显著减少。在不同面积置换比（Ar）和不排水抗剪强度（cu）下，刚性基础下CBA柱加筋土的极限承载力（qult）提高了近1.44 ~ 1.71倍。此外，还建立了一个R2为0.92的通用数学方程来预测结果。结果表明，CBA可作为一种资源节约型、低碳材料应用于地面改造项目，有利于环境保护、废物增值和基础设施可持续发展。

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引用次数: 0

Experimental study on the performance of ENTA damper systems in a two-story RC moment frame under cyclic loading 循环荷载作用下两层钢筋混凝土弯矩框架ENTA阻尼系统性能试验研究

IF 7.4 2区工程技术 Q1 CONSTRUCTION & BUILDING TECHNOLOGY

Journal of building engineering

Pub Date : 2026-02-15 DOI: 10.1016/j.jobe.2026.115486

Gayoon Lee , Quoc Bao To , Jiuk Shin , Tae Sang Ahn , Do Hyung Lee , Kihak Lee

This study experimentally evaluates the seismic performance of a two-story RC moment frame retrofitted with an external steel frame and an ENTA damper system, developed as a strengthening solution for seismically deficient RC structures. Cyclic lateral loading tests were conducted on two geometrically identical specimens: an as-built frame and a frame retrofitted with the ENTA damper system. In the retrofitted specimen, the ENTA damper yielded before the primary RC members, effectively delaying damage to critical components while enhancing lateral strength and stiffness. The retrofitted frame reached a maximum lateral strength of 531.70 kN, 1.62 times that of the as-built specimen, and exhibited an initial stiffness increase of 1.88 times. Furthermore, the cumulative energy dissipation at a 2% drift ratio increased by 3.07 times, indicating that the ENTA damper system effectively absorbed and dissipated energy throughout the loading history. Strain measurements and observed failure modes confirmed that the retrofitted frame maintained flexure-dominated behavior while suppressing significant damage in the beam–column joints and columns. The simplified plastic-mechanism-based strength predictions showed good agreement with the experiment results, with test-to-prediction ratios ranging from 1.02 to 1.33, demonstrating that the analytical model conservatively captures the strengthening effects. Overall, the results validate the ENTA damper system as an effective seismic retrofit strategy for RC moment frames.

本研究通过实验评估了两层钢筋混凝土弯矩框架的抗震性能，该框架采用外部钢框架和ENTA阻尼器系统进行改造，作为抗震缺陷钢筋混凝土结构的加固解决方案。循环横向加载试验进行了两个几何上相同的标本：一个建成框架和一个框架改造与ENTA阻尼系统。在改造后的试件中，ENTA阻尼器在主要RC构件之前屈服，有效地延迟了关键部件的损坏，同时提高了横向强度和刚度。改进后的框架最大侧向强度为531.70 kN，是原状的1.62倍，初始刚度增加了1.88倍。在2%漂移比下的累积能量耗散增加了3.07倍，表明ENTA阻尼器系统在整个加载过程中有效地吸收和耗散了能量。应变测量和观察到的破坏模式证实，改造后的框架保持了弯曲主导的行为，同时抑制了梁柱节点和柱的显著损伤。基于塑性机制的简化强度预测与试验结果吻合较好，试验预测比在1.02 ~ 1.33之间，表明该分析模型较为保守地反映了强化效果。总体而言，结果验证了ENTA阻尼系统是RC弯矩框架的有效抗震改造策略。

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引用次数: 0

Effect of GFRP-tie configurations on FRC columns with longitudinal hybrid (Steel-GFRP) reinforcement under lateral cyclic loading 横向循环荷载作用下GFRP-Tie结构对钢- gfrp纵向复合加固FRC柱的影响

IF 7.4 2区工程技术 Q1 CONSTRUCTION & BUILDING TECHNOLOGY

Journal of building engineering

Pub Date : 2026-02-15 DOI: 10.1016/j.jobe.2026.115452

Anmol Shanker Srivastava , Girish Narayan Prajapati , Brahim Benmokrane

This paper investigates the performance of fiber-reinforced concrete (FRC) columns reinforced with longitudinal hybrid [steel–glass fiber-reinforced polymer (GFRP)] bars in seismic zones. Four FRC columns were constructed and tested under quasi-static cyclic loading, incorporating different GFRP-tie configurations and varying the number of longitudinal bars. Additionally, two reference columns were confined using GFRP spirals. Performance was assessed based on failure progression, energy dissipation, hysteretic response, deformability, and reinforcement strain. The results demonstrate that, when properly designed and transversely confined with a GFRP spiral or ties, all the FRC columns with longitudinal hybrid reinforcement exhibited minimal internal damage and cracking, even at drift ratios up to 4.0%, meeting ductile moment-resisting frame standards. While the transverse reinforcement configuration had limited influence on energy dissipation up to 4.0% drift, the spiral configuration was most effective at higher drift levels. All the hybrid FRC columns displayed excellent self-centering capacity. The study highlights gaps in current design guidelines for GFRP ties and suggests that these findings pave the way for their use in lateral-resisting systems.

本文研究了纵向混合钢筋[钢-玻璃纤维-增强聚合物（GFRP）]钢筋加筋的纤维混凝土柱在地震带中的性能。在准静态循环荷载下，采用不同的GFRP-tie结构和不同的纵筋数量，构建了四根FRC柱并进行了测试。此外，两个参考柱用玻璃钢螺旋密封。性能评估基于破坏进展，能量耗散，滞后响应，可变形性和钢筋应变。结果表明，当设计合理并采用GFRP螺旋或扎带横向约束时，即使在漂移比高达4.0%时，所有纵向混合配筋的FRC柱的内部损伤和开裂都最小，符合韧性抗弯矩框架标准。在4.0%的漂移范围内，横向加固结构对能量耗散的影响有限，而螺旋加固结构在更高的漂移水平下最有效。混合FRC柱均表现出良好的自定心能力。该研究强调了当前GFRP系带设计指南中的差距，并表明这些发现为其在抗侧向系统中的应用铺平了道路。

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引用次数: 0

Environmental dependence of self-healing behavior for high-ductility fly ash-based engineered geopolymer composite 高延性粉煤灰基工程地聚合物复合材料自愈行为的环境依赖性

IF 7.4 2区工程技术 Q1 CONSTRUCTION & BUILDING TECHNOLOGY

Journal of building engineering

Pub Date : 2026-02-15 DOI: 10.1016/j.jobe.2026.115305

Yuanqiao Gan , Luohao Lv , Benrui Chen , Bixiong Li , Lili Kan

Concrete cracking during service compromises durability and incurs substantial maintenance costs, prompting this study to develop a high-ductility engineered geopolymer composite (EGC) designed for autogenous crack healing and long-term durability enhancement. Workability assessments, mechanical tests and digital image correlation (DIC) technology were employed to characterize fluidity, mechanical responses and crack evolution. To elucidate self-healing and mechanical recovery mechanisms, specimens were subjected to various pre-tensile strains (1.0 %, 2.0 %, and 3.0 %) coupled with exposure to air, water, and 10 wet-dry (W-D) cycle environments. Results indicated that the EGC exhibited excellent workability with fluidity surpassing 180 mm, a 28-day cubic compressive strength of 12.83 MPa, and a cylindrical strength of 6.44 MPa. The tensile strain capacity surpassed 5 %, significantly outperforming the 3 % high-ductility threshold. DIC analysis confirmed a robust multiple-cracking behavior with a narrow average crack width of 54.21 μm, facilitating efficient autogenous self-healing. The embodied energy and embodied carbon were merely 73.5 % and 52 % of those of conventional M45-ECC, respectively. Remarkable self-healing performance was observed across all environments, with efficacy decreasing as pre-tensile strain increased. The water environment delivered optimal crack self-healing efficiency, facilitated by Ca²⁺ migration for CaCO₃ precipitation and water absorption-induced swelling, whereas W-D cycles yielded the poorest efficiency due to secondary cracking-induced healing product degradation. Post exposure, 3 % pre-tensile strain specimens retained tensile ductility above 3.5 %. The stress performance index (SPI) correlated strongly with tensile strain capacity, indicating that optimized matrix-fiber compatibility enhances both crack control and self-healing potential. The developed EGC provides a novel and sustainable solution to concrete cracking, with prominent application potential in extreme environment engineering.

混凝土在使用过程中开裂会影响耐久性，并产生大量的维护成本，这促使本研究开发了一种高延性工程地聚合物复合材料（EGC），旨在自愈合裂缝并提高长期耐久性。可工作性评价、力学试验和数字图像相关（DIC）技术用于表征流体性、力学响应和裂纹演化。为了阐明自我修复和机械恢复机制，将标本置于不同的预拉伸应变（1.0%、2.0%和3.0%）下，并暴露于空气、水和10个干湿循环环境中。结果表明，EGC具有良好的工作性，流动性超过180 mm， 28天立方抗压强度为12.83 MPa，圆柱形强度为6.44 MPa。拉伸应变能力超过5%，显著优于3%的高延性阈值。DIC分析证实，复合材料具有较强的多重裂纹行为，平均裂纹宽度较窄，为54.21 μm，有利于有效的自愈。其蕴含能量和蕴含碳仅为常规M45-ECC的73.5%和52%。在所有环境中都观察到显著的自我修复性能，随着预拉伸应变的增加，效果降低。在水环境中，钙离子迁移导致CaCO3沉淀和水吸收引起的溶胀促进了裂缝的自愈效率，而W-D循环由于二次裂缝引起的愈合产物降解而产生了最差的自愈效率。暴露后，3%的预拉伸应变试样的拉伸延展性保持在3.5%以上。应力性能指数（SPI）与拉伸应变能力密切相关，表明优化后的基质-纤维相容性增强了裂缝控制和自愈潜力。所开发的EGC为混凝土开裂提供了一种新的可持续解决方案，在极端环境工程中具有突出的应用潜力。

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引用次数: 0

Connection and seismic performance of a hybrid steel- cross-laminated timber wall system 混合钢-交叉层合木结构墙体体系的连接与抗震性能

IF 7.4 2区工程技术 Q1 CONSTRUCTION & BUILDING TECHNOLOGY

Journal of building engineering

Pub Date : 2026-02-15 DOI: 10.1016/j.jobe.2026.115322

Yinlan Shen , Ruodan Dong , Ziyang Nie , Guojun Sun , Wei He

This study investigated the connection and seismic performance of a novel hybrid steel-cross-laminated timber (CLT) wall system with a steel frame infilled with a CLT panel. Top, seat, and web-angle connections were used as semi-rigid beam-column connections in the steel frame, and improved annular dissipative connectors were utilized between the steel frames and the CLT infill walls. The hysteresis, energy dissipation mechanisms, and failure modes of 12 annular dissipative joints with different widths and thicknesses were analyzed using uniaxial tensile and shear tests. The thickness of the damper was the dominant parameter influencing shear and tensile strength, stiffness, and energy dissipation, followed by the width of the damper. The D8-S60 connection was the most suitable, with tensile load-carrying capacity of 50 kN, a tensile stiffness of about 4 kN/mm, a shear load-carrying capacity of around 22 kN, and a shear stiffness of approximately 2 kN/mm. Failure modes, lateral resistance, hysteretic response, energy dissipation capacity, and load-sharing performance of the proposed hybrid steel-CLT wall system were comprehensively evaluated. The critical failure modes included bending and tension deformation of the steel angles, dislocation of the annular dissipative connectors, local buckling of the column base, rotation of the CLT panel, and corner crushing due to contact compression. The semi-rigid steel frame (SRPF) infilled with CLT shear walls (SRFSW) exhibited the optimal performance. The ultimate lateral load-bearing capacity was more than 1.5 times higher, the stiffness was more than 0.7 times higher, and cumulative energy dissipation was more than 0.65 times higher than that of the SRPF.

本研究研究了一种新型混合钢-交叉层压木材（CLT）墙体系统的连接和抗震性能，该系统采用钢框架填充CLT板。钢框架的顶板、座板和腹板角连接采用半刚性梁柱连接，钢框架和CLT填充墙之间采用改进的环形耗散连接。通过单轴拉伸和剪切试验，分析了12个不同宽度和厚度的环形耗散节理的滞回、耗能机理和破坏模式。阻尼器厚度是影响抗剪、抗拉强度、刚度和耗能的主要参数，其次是阻尼器宽度。D8-S60连接最合适，抗拉承载力为50 kN，抗拉刚度约为4 kN/mm，抗剪承载力约为22 kN，抗剪刚度约为2 kN/mm。对所提出的钢- clt混合墙体系的破坏模式、横向阻力、滞后响应、耗能能力和荷载分担性能进行了综合评价。临界破坏模式包括钢角的弯曲和拉伸变形、环形耗散连接件的错位、柱基座的局部屈曲、CLT板的旋转以及接触压缩导致的角破碎。半刚体钢框架（SRPF）填充CLT剪力墙（SRFSW）表现出最佳的抗震性能。其极限侧向承载力比SRPF高1.5倍以上，刚度比SRPF高0.7倍以上，累积耗能比SRPF高0.65倍以上。

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引用次数: 0

3D reconstruction and building energy modeling for existing buildings via image and masked Gaussian Splatting 通过图像和蒙面高斯溅射对现有建筑进行三维重建和建筑能量建模

IF 7.4 2区工程技术 Q1 CONSTRUCTION & BUILDING TECHNOLOGY

Journal of building engineering

Pub Date : 2026-02-15 DOI: 10.1016/j.jobe.2026.115418

Yangze Liang, Zhuozhen Fang, Zhao Xu

Efficient energy management in existing buildings supports sustainable development. Building Energy Modeling (BEM) is key for evaluating energy performance and planning retrofits, but it relies on accurate building data, which is often unavailable. This study proposes a highly automated, image-driven framework for existing building energy model reconstruction and simulation. The method begins with multi-angle façade image collection. A customized Masked Gaussian Splatting framework is developed to enable the targeted reconstruction of high-precision 3D point clouds, guided by semantic segmentation masks that isolate buildings of interest. These geometric features are extracted from the point clouds and used to automatically generate the energy model. The non-geometric features are determined based on Typical Meteorological Year (TMY) data and relevant building codes. Both geometric and non-geometric features are then input into the established Ladybug-based workflow to automatically execute energy simulations. The proposed framework is validated through two case studies, demonstrating its effectiveness in significantly improving the efficiency of data acquisition and model construction while maintaining simulation accuracy. This approach provides a scalable solution for existing building energy analysis.

现有建筑的高效能源管理支持可持续发展。建筑能源模型（BEM）是评估能源绩效和规划改造的关键，但它依赖于准确的建筑数据，而这些数据通常是不可用的。本研究提出了一个高度自动化、图像驱动的框架，用于现有建筑能源模型的重建和仿真。该方法从多角度图像采集开始。开发了一个定制的蒙面高斯飞溅框架，以实现高精度3D点云的有针对性的重建，通过隔离感兴趣的建筑物的语义分割蒙版进行指导。从点云中提取这些几何特征，用于自动生成能量模型。非几何特征是根据典型气象年（TMY）数据和相关建筑规范确定的。然后将几何和非几何特征输入到已建立的基于ladybug的工作流程中，以自动执行能量模拟。通过两个案例研究验证了该框架的有效性，表明该框架在保持仿真精度的同时，显著提高了数据采集和模型构建的效率。这种方法为现有建筑能源分析提供了一种可扩展的解决方案。

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引用次数: 0

LVLMs as inspectors: An agentic framework for category-level structural defect annotation 作为检查员的lvlm：一个用于类别级结构缺陷注释的代理框架

IF 7.4 2区工程技术 Q1 CONSTRUCTION & BUILDING TECHNOLOGY

Journal of building engineering

Pub Date : 2026-02-15 DOI: 10.1016/j.jobe.2026.115399

Sheng Jiang , Yuanmin Ning , Bingxi Huang , Weiyu Cheng , Peiyin Chen , Zhaohui Chen

Automated structural defect annotation is a critical yet challenging prerequisite for infrastructure inspection, particularly under conditions of limited labeled data, severe class imbalance, and heterogeneous visual appearances. Existing learning-based or semi-automatic annotation methods often rely on manually labeled samples, human-in-the-loop correction, or task-specific model fine-tuning, which limits their scalability and applicability in practical inspection scenarios. To address this problem, we propose Agent-based Defect Pattern Tagger (ADPT), a training-free, zero-shot reasoning-based annotation workflow that organizes agentic large vision-language model (LVLM) inference via prompt engineering into a multi-stage reasoning and verification process. ADPT integrates semantic pattern matching with an iterative self-questioning refinement mechanism to structure and consolidate LVLM outputs into standardized defect labels, without assuming human-provided labels or in-loop supervision during annotation generation. Extensive experiments on both class-balanced and class-imbalanced datasets demonstrate that ADPT achieves up to 98 % accuracy in binary defect discrimination and up to 90 % mean F1-score across four defect categories under balanced settings, with 89 % mean F1-score under class-imbalanced conditions. These results indicate that ADPT can substantially reduce manual annotation effort while providing structured, reusable annotations that support downstream tasks such as dataset bootstrapping, transfer learning, and domain adaptation in structural damage assessment.

自动化的结构缺陷注释是基础设施检查的一个关键但具有挑战性的先决条件，特别是在有限的标记数据、严重的类不平衡和异构的视觉外观的条件下。现有的基于学习或半自动的注释方法通常依赖于手动标记的样本、人工在环校正或特定于任务的模型微调，这限制了它们在实际检查场景中的可扩展性和适用性。为了解决这个问题，我们提出了基于代理的缺陷模式标注器（ADPT），这是一种无需训练、基于零采样推理的标注工作流，它通过提示工程将代理大视觉语言模型（LVLM）推理组织成一个多阶段的推理和验证过程。ADPT将语义模式匹配与迭代的自我询问细化机制集成在一起，以构建并整合LVLM输出到标准化的缺陷标签中，而不需要在注释生成过程中假设人工提供的标签或循环内监督。在类平衡和类不平衡数据集上进行的大量实验表明，ADPT在二元缺陷识别方面的准确率高达98%，在平衡设置下，四种缺陷类别的平均f1得分高达90%，在类不平衡条件下，平均f1得分为89%。这些结果表明，ADPT可以大大减少人工注释的工作量，同时提供结构化的、可重用的注释，支持下游任务，如数据集引导、迁移学习和结构损伤评估中的领域自适应。

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引用次数: 0

Ventilation and indoor air quality management in operating rooms: A systematic review of pollutant sources, transmission, and control techniques 手术室通风与室内空气质量管理：污染源、传输和控制技术的系统综述

IF 7.4 2区工程技术 Q1 CONSTRUCTION & BUILDING TECHNOLOGY

Journal of building engineering

Pub Date : 2026-02-15 DOI: 10.1016/j.jobe.2026.115427

Yan Wang , Jiawen Wang , Wanxiang Yao , Juan Ren , Lihua Chen , Qichao Ban

The COVID-19 pandemic has heightened global awareness of environmental control within healthcare facilities, particularly focusing on methods for managing airborne contaminants in operating rooms. However, a systematic synthesis of theoretical approaches in this domain remains lacking. This review first identifies the sources of airborne pollutants in operating rooms. Subsequently, based on contaminant types and origins, it introduces, compares, and analyzes current control methods and research techniques, highlighting existing gaps and proposing directions to advance knowledge in the field. Furthermore, as airborne contaminants pose significant yet often invisible risks to operating room personnel, researchers are increasingly prioritizing the validation and investigation of the effectiveness of control methods. Finally, managing these contaminants necessitates consideration of technical, logistical, and ethical aspects, driving a shift towards more precise evaluation frameworks. This review systematically summarizes operating room airborne contaminant control strategies, aligning with national health initiatives and offering valuable references for developing rapid-response measures during future major public health crises.

2019冠状病毒病大流行提高了全球对医疗机构环境控制的认识，特别是关注手术室空气传播污染物的管理方法。然而，在这一领域的理论方法的系统综合仍然缺乏。本综述首先确定了手术室空气污染物的来源。随后，根据污染物类型和来源，介绍、比较和分析了当前的控制方法和研究技术，突出了现有的差距，并提出了在该领域推进知识的方向。此外，由于空气污染物对手术室人员构成了重大但往往是无形的风险，研究人员越来越重视对控制方法有效性的验证和调查。最后，管理这些污染物需要考虑技术、后勤和道德方面的因素，从而推动向更精确的评估框架的转变。本文系统总结了手术室空气污染物控制策略，与国家卫生倡议保持一致，为未来重大公共卫生危机中制定快速反应措施提供有价值的参考。

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