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Analysis of a chalky earthen masonry unit from the champagne region (France): Is it relevant to stabilize mortar with hydraulic lime? 来自法国香槟地区的白垩土砌体单元分析:是否与液压石灰稳定砂浆有关?
IF 8.2 2区 工程技术 Q1 CONSTRUCTION & BUILDING TECHNOLOGY Pub Date : 2025-12-01 Epub Date: 2025-09-15 DOI: 10.1016/j.dibe.2025.100756
Guillaume Polidori , Erwan Hamard , Adrien Aras-Gaudry , Céline Rousse , Fabien Beaumont , Sébastien Murer , Mohammed Lachi , Christophe Bliard , Fabien Bogard
This study examines the mechanical and thermal performance of adobe masonry units built with highly chalky soils from the Champagne region (France), focusing on the effect of hydraulic lime content (0, 5, and 14 wt%) in mortar joints. Adobe and mortar samples were fabricated from 19th-century adobe barn soil and tested for their physical and structural properties. Results show that adding hydraulic lime improves wall performance by 37.3 %. However, this gain remains modest in absolute terms, and all mortars exceeded the 0.3 MPa minimum required for structural adobe walls. Lime also slightly reduces thermal conductivity, enhancing insulation. Digital image correlation revealed that lime delays crack formation and modifies failure patterns. Yet, a simplified life cycle analysis showed that 14 wt% lime increases global warming potential (GWP) by 479 %. The results suggest that for low-rise adobe structures, unstabilized mortar may offer a more sustainable alternative.
本研究考察了用法国香槟地区的高白垩土建造的土坯砌体单元的机械和热性能,重点研究了砂浆接缝中水力石灰含量(0、5和14 wt%)的影响。土坯和砂浆样品由19世纪的土坯谷仓土壤制成,并测试了它们的物理和结构特性。结果表明,加入水力石灰可使墙体性能提高37.3%。然而,这种增益在绝对值上仍然是适度的,所有砂浆都超过了结构土坯墙所需的最小0.3 MPa。石灰还能略微降低导热性,增强绝缘性。数字图像相关性显示石灰延迟裂纹形成并改变破坏模式。然而,一个简化的生命周期分析表明,14wt %的石灰增加了479%的全球变暖潜能值(GWP)。结果表明,对于低层土坯结构,不稳定砂浆可能提供一个更可持续的选择。
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引用次数: 0
From waste to value: Enhancing strength and CO2 sequestration of cement composites with lime mud under carbonation curing 从废物到价值:石灰泥浆在碳化养护下增强水泥复合材料的强度和CO2固存能力
IF 8.2 2区 工程技术 Q1 CONSTRUCTION & BUILDING TECHNOLOGY Pub Date : 2025-12-01 Epub Date: 2025-11-16 DOI: 10.1016/j.dibe.2025.100805
Xun Sha , Weichuan Zhang , Shengli Ren , Xiao-Yong Wang , Run-Sheng Lin
Lime mud (LM), a highly alkaline by-product from the paper industry, is usually disposed of by landfilling, causing environmental risks and resource waste. Previous attempts to use LM in cementitious materials often relied on calcination, which increases energy use and CO2 emissions, or direct blending, which leads to reduced strength and poor durability. To address these limitations, this study investigates the direct incorporation of uncalcined LM, alone or with slag, into cement-based materials (CBMs) subjected to carbonation curing. The hydration–carbonation behavior, pore structure, mechanical properties, and high-temperature resistance were comprehensively evaluated. The results show that LM provided nucleation sites and high alkalinity, accelerating CO2 uptake and enhancing early strength under carbonation curing. At 14 days, LM20 under carbonation curing reached a compressive strength of 52 MPa, 54 % higher than its normally cured counterpart. When combined with slag, the LM20A10 mixture achieved the best balance of strength and CO2 sequestration, showing a greater carbonation degree and a CO2 uptake exceeding 11 wt%. Multi-scale analyses (XRD, TG-IR, FTIR, SEM/TEM, MIP) confirmed the formation of N,C-A-S-H gels and CaCO3–SiO2 composites, which densified the matrix and linked microstructure with macroscopic performance. Furthermore, carbonation-cured specimens retained over 60 % of their compressive strength at 600 °C, whereas normally cured specimens showed severe degradation, indicating improved thermal resistance. This study demonstrates a sustainable strategy for LM valorization, integrating solid waste recycling, CO2 sequestration, and performance enhancement, thereby contributing to the development of low-carbon and durable construction materials.
石灰泥是造纸工业的一种高碱性副产品,通常采用填埋方式处理,造成环境风险和资源浪费。之前在胶凝材料中使用LM的尝试通常依赖于煅烧,这会增加能源消耗和二氧化碳排放,或者直接混合,这会导致强度降低和耐久性差。为了解决这些限制,本研究探讨了将未煅烧的LM单独或与矿渣一起直接掺入水泥基材料(CBMs)进行碳化固化的方法。对其水化碳酸化行为、孔隙结构、力学性能和耐高温性能进行了综合评价。结果表明,LM提供了成核位点和高碱度,加速了CO2的吸收,提高了碳化固化的早期强度。碳化养护14 d时,LM20抗压强度达到52 MPa,比正常养护的LM20抗压强度提高54 %。与矿渣配用时,LM20A10达到了强度与CO2固存的最佳平衡,碳化程度较高,CO2吸收量超过11% wt%。多尺度分析(XRD, TG-IR, FTIR, SEM/TEM, MIP)证实了N,C-A-S-H凝胶和CaCO3-SiO2复合材料的形成,使基体致密化,微观结构与宏观性能相联系。此外,碳化固化的样品在600 °C时保持了60% %以上的抗压强度,而通常固化的样品则表现出严重的退化,这表明耐热性得到了改善。本研究为LM增值、固废回收、CO2封存和性能提升提供了一个可持续的策略,从而为低碳和耐用建筑材料的发展做出贡献。
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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 Pub Date : 2025-12-01 Epub 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
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 Pub Date : 2025-12-01 Epub 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 (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。
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引用次数: 0
Thermodynamic optimization of Portland cement clinkers for designing SCM-blended cements 硅酸盐水泥熟料的热力学优化,为设计scm混合水泥提供依据
IF 8.2 2区 工程技术 Q1 CONSTRUCTION & BUILDING TECHNOLOGY Pub Date : 2025-12-01 Epub Date: 2025-10-25 DOI: 10.1016/j.dibe.2025.100787
Chun Sik Kim , Melaku N. Seifu , Seonhyeok Kim , Naru Kim , Joonho Seo , Jinman Kim , Solmoi Park
The composition of Portland cement clinker is crucial for determining the hydration and phase assemblages of blended cement systems incorporating supplementary cementitious materials (SCMs). This study investigates the influence of cement clinker compositions on the degree of reaction of fly ash and slag, and the phase evolution in blended systems. Thermodynamic modelling was employed to calculate the mineralogical compositions of clinkers from simulated raw materials and phase assemblages of blended cements, while the reaction degrees of SCMs were predicted using a machine learning model. The results indicate that a C3S content of approximately 57 % is optimal, as it maintains sufficient portlandite availability for SCM dissolution. Fly ash showed greater dependency on portlandite availability, whereas slag exhibited higher intrinsic reactivity even at lower C3S levels. These results highlight the impact of clinker composition and SCM replacement levels on hydration products, providing insights for optimizing cement formulations from production to hydration.
硅酸盐水泥熟料的组成对于确定含有补充胶凝材料(SCMs)的混合水泥体系的水化和相组合至关重要。研究了水泥熟料组成对粉煤灰与矿渣反应程度的影响,以及掺合体系中的物相演化规律。采用热力学模型计算模拟原料熟料的矿物学组成和混合水泥的相组合,同时使用机器学习模型预测SCMs的反应程度。结果表明,C3S的含量约为57 %是最佳的,因为它保持了足够的波特兰石对SCM溶解的有效性。粉煤灰对矿渣有效度的依赖性较大,而矿渣在较低C3S水平下也表现出较高的内在反应活性。这些结果突出了熟料组成和SCM替换水平对水化产物的影响,为从生产到水化的水泥配方优化提供了见解。
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引用次数: 0
Floral walls versus green wall for stress recovery and cognitive restoration in underground environments: A VR-based experimental study 地下环境中花墙与绿墙对应激恢复和认知恢复的影响:一项基于vr的实验研究
IF 8.2 2区 工程技术 Q1 CONSTRUCTION & BUILDING TECHNOLOGY Pub Date : 2025-12-01 Epub Date: 2025-12-04 DOI: 10.1016/j.dibe.2025.100819
Meng Du , Yinuo Zhang , Xinyue Zhang , Zihan Tang , Meiheng Zhai , Bo Hong
Underground environments without light wells or skylights lack a connection to the natural outdoors, heightening stress and mental fatigue, jeopardizing health and productivity. While green walls are established restorative agents, the contribution of floral colour to underground stress recovery remains unclear. Ninety-six adults completed baseline and stress-induction phases before immersive exposure—via virtual reality—to yellow-floral, white-floral, red-floral or green walls. Multi-modal assessment integrated self-reports, cardiovascular metrics and cognitive tasks. Relative to the stressor phase, all scenes reduced negative affect and elevated perceived restoration, with yellow-floral and red-floral walls additionally increasing positive affect above baseline. Red-floral wall uniquely maximised vagal reactivation (largest root mean square of successive differences gain, steepest stress-index decline), indicating superior autonomic recovery. Green wall expedited information processing, whereas yellow-floral wall optimised working-memory capacity. These findings elucidate colour-specific pathways by which floral stimuli mitigate underground stress and inform evidence-based chromatic interventions for subterranean design.
没有采光井或天窗的地下环境缺乏与自然户外的联系,增加了压力和精神疲劳,危害健康和生产力。虽然绿墙是公认的恢复剂,但花的颜色对地下胁迫恢复的贡献尚不清楚。96名成年人完成了基线和压力诱导阶段,然后通过虚拟现实沉浸在黄色花、白色花、红色花或绿色的墙壁中。多模态评估综合了自我报告、心血管指标和认知任务。与压力源阶段相比,所有场景都减少了消极情绪,提高了感知恢复,黄色和红色花墙在基线上额外增加了积极情绪。红色花壁独特地最大化迷走神经再激活(连续差异增益的均方根最大,压力指数下降的最陡),表明优越的自主神经恢复。绿墙加速了信息处理,而黄墙优化了工作记忆容量。这些发现阐明了植物刺激减轻地下压力的颜色特异性途径,并为地下设计提供了基于证据的色彩干预措施。
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引用次数: 0
Public willingness to accept ecological compensation methods for construction and demolition waste landfilling 公众接受建拆垃圾填埋生态补偿方式的意愿
IF 8.2 2区 工程技术 Q1 CONSTRUCTION & BUILDING TECHNOLOGY Pub Date : 2025-12-01 Epub Date: 2025-10-26 DOI: 10.1016/j.dibe.2025.100788
Bo Yu , Zhaoyang Qiu , Vivian W.Y. Tam , Jian Zuo , Jiayuan Wang , Yifu Ou , Huanyu Wu , Zhikang Bao
Due to the negative externalities associated with construction and demolition waste (C&DW) landfilling, such facilities often face strong public opposition, commonly referred to as the “not in my backyard” (NIMBY) effect. Ecological compensation, a market-based mechanism that internalizes environmental externalities by offering economic incentives to affected stakeholders, has emerged as an effective strategy to mitigate NIMBY-related resistance. A critical aspect of implementing ecological compensation is identifying methods that are publicly acceptable, thereby addressing the question of “how to compensate.” This study aims to explore compensation approaches that are both suitable for C&DW landfilling and acceptable to local communities. A comprehensive literature review was first conducted to summarize existing ecological compensation mechanisms and identify those most applicable to C&DW landfilling. Using Shenzhen, China, as a case study, public preferences regarding different compensation methods were examined through questionnaires and semi-structured interviews. The findings explicitly reveal that financial compensation is the most preferred option among the public, followed by project-based compensation, with policy-related compensation being the least preferred. Specifically, the public prefers to receive financial compensation as a lump-sum bank transfer before landfill operations, favors local village collectives managing landfills with annual profit distribution for project-based compensation, and prioritizes housing expropriation and compensation policies for policy-related compensation. These findings offer valuable theoretical insights for the development of scientifically grounded and socially acceptable ecological compensation strategies in the context of C&DW landfilling.
由于与建筑和拆除垃圾(C&;DW)填埋相关的负面外部性,这类设施经常面临公众的强烈反对,通常被称为“邻避”效应。生态补偿是一种基于市场的机制,通过向受影响的利益相关者提供经济激励,将环境外部性内部化,已成为缓解邻避相关阻力的有效策略。实施生态补偿的一个关键方面是确定公众可以接受的方法,从而解决“如何补偿”的问题。本研究旨在探索既适合垃圾填埋场,又为当地社区所接受的补偿方法。首先进行了全面的文献综述,总结了现有的生态补偿机制,并确定了最适用于垃圾填埋场的生态补偿机制。以中国深圳为例,通过问卷调查和半结构化访谈,考察了公众对不同薪酬方式的偏好。调查结果明确显示,经济补偿是公众最喜欢的选择,其次是基于项目的补偿,与政策相关的补偿是最不受欢迎的。具体而言,公众更倾向于在垃圾填埋场运营前以一次性银行转帐的方式获得财政补偿,更倾向于以项目为基础的补偿,更倾向于以年度利润分配方式管理垃圾填埋场的当地村集体,更倾向于以政策为基础的补偿,更倾向于优先考虑住房征收和补偿政策。这些发现为在垃圾填埋的背景下制定有科学依据和社会可接受的生态补偿策略提供了有价值的理论见解。
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引用次数: 0
Optimal additional evacuation route analysis in deep underground station structures using Dijkstra's algorithm 基于Dijkstra算法的深埋地下车站结构最优附加疏散路线分析
IF 8.2 2区 工程技术 Q1 CONSTRUCTION & BUILDING TECHNOLOGY Pub Date : 2025-12-01 Epub Date: 2025-10-27 DOI: 10.1016/j.dibe.2025.100784
Sunnie Haam , Hyunseok Kim , Mintaek Yoo , Woo Seung Song
This study examines the optimal additional pathways to reduce the maximum evacuation time using Dijkstra's algorithm, targeting a deep underground station structure in Seoul. The reduction rates in the maximum evacuation time were evaluated across seven cases, including baseline scenarios without additional pathways. Pedestrian speed was adjusted by applying a crowd density-based reduction factor. The maximum evacuation time was 590 s without the additional pathways and 369 s when additional pathways were implemented on floors B2 and B1, representing a 37.5 % reduction. The most significant reduction occurred when pathways were simultaneously added on B6 and B1, as well as B2 and B1, resulting in a maximum evacuation time of 340 s, a 42.4 % decrease compared with the baseline scenario. These findings underscore the importance of constructing additional pathways to ensure occupants can evacuate within the 6-min golden time specified by the Korean Ministry of Land, Infrastructure, and Transport.
本研究使用Dijkstra算法研究了减少最大疏散时间的最佳附加路径,以首尔的一个深地下车站结构为目标。在7个案例中评估了最大疏散时间的减少率,包括没有额外路径的基线情景。通过应用基于人群密度的减少因子来调整行人速度。在没有增加通道的情况下,最大疏散时间为590 秒,在B2和B1层增加通道后,最大疏散时间为369 秒,减少了37.5% %。当B6和B1以及B2和B1同时增加通道时,最大疏散时间为340 s,与基线情景相比减少了42.4 %。这些发现强调了建设额外通道的重要性,以确保居住者能够在韩国国土交通部规定的6分钟黄金时间内撤离。
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引用次数: 0
Mechanical performance and solidification mechanism of synchronous grouting materials from the reuse of geopolymer-modified shield tunnel muck 地聚合物改性盾构隧道淤泥回用同步注浆材料力学性能及固化机理
IF 8.2 2区 工程技术 Q1 CONSTRUCTION & BUILDING TECHNOLOGY Pub Date : 2025-12-01 Epub Date: 2025-11-25 DOI: 10.1016/j.dibe.2025.100816
Shuying Wang , Xiangcou Zheng , Zhunlin Ni , Cong Zhang , Junsheng Yang , Xiangsheng Chen
The conventional method of preparing synchronous grouting with shield muck usually involves using cement as main binder. However, to enhance environmental sustainability of reusing shield muck in synchronous grouting, developing alternative binders is crucial. Based on the principles of geopolymerisation, this study uses shield muck as the main raw material and mixes it with sand. It incorporates ground granulated blast furnace slag (GGBS) as a precursor and uses sodium sulfate and hydrated lime serving as activators to develop a new grouting material. Experimental results indicate that the consistency, fluidity, and moisture content of the grout decrease over time. Notably, both consistency and fluidity exhibit pronounced changes in their variation rates at the setting time, with opposite trends observed before and after this point. Additionally, the bleeding rate and bulk shrinkage rate, as well as unconfined compressive strength (UCS), increase with time. The bleeding rate stabilises once the setting time is reached, while the bulk shrinkage rate stabilises after three days. X-ray diffraction (XRD) and scanning electron microscopy (SEM) analyses reveal the solidification mechanism of the new grouting material. The superior strength of the new grouting material is attributed to differences in hydration processes and the types of products formed. The excellent performance of the newly developed material, with an optimal proportion of 140 % moisture, 100 % GGBS, and 230 % sand, is confirmed by comparing it with traditional grouting materials on site at Nanjing Metro Line 6, and both its economic and environmental benefits in practical application are assessed.
盾构淤泥同步灌浆的常规制备方法通常采用水泥为主粘结剂。然而,为了提高盾构泥同步灌浆再利用的环境可持续性,开发替代粘结剂至关重要。本研究基于地聚合原理,以盾构土为主要原料,与砂混合。以矿渣粉为前驱体,以硫酸钠和水合石灰为活化剂,研制了一种新型注浆材料。实验结果表明,随着时间的推移,浆液的稠度、流动性和含水率逐渐降低。值得注意的是,稠度和流动性在凝固时间的变化率都表现出明显的变化,在此之前和之后观察到相反的趋势。此外,出血性和体积收缩率以及无侧限抗压强度(UCS)随时间增加而增加。一旦达到凝固时间,出血率稳定,而体积收缩率在三天后稳定。x射线衍射(XRD)和扫描电镜(SEM)分析揭示了新型注浆材料的凝固机理。新型注浆材料的优异强度归因于水化过程和形成产物类型的不同。通过与南京地铁6号线传统注浆材料的现场对比,证实了该新型注浆材料的优良性能,其最佳配比为含水率为140 %、GGBS为100 %、砂石为230 %,并对其实际应用的经济效益和环境效益进行了评价。
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引用次数: 0
Exploration of computational formulations for wind-induced interference effects on high-rise buildings via Kolmogorov–Arnold networks 基于Kolmogorov-Arnold网络的高层建筑风致干扰计算公式探索
IF 8.2 2区 工程技术 Q1 CONSTRUCTION & BUILDING TECHNOLOGY Pub Date : 2025-12-01 Epub Date: 2025-10-04 DOI: 10.1016/j.dibe.2025.100770
Kun Wang , Tianhao Shen , Jinlong Liu , Shiqi Wang , Xu Bao , Jingyu Wei , Weicheng Hu , Lei Xu
In dense urban environments, wind-induced interference effects introduce significant uncertainties in predicting aerodynamic forces on high-rise buildings. Conventional methods such as wind tunnel tests and computational fluid dynamics (CFD) suffer from high cost and long runtime, while multivariate regression analysis (MRA) lacks the ability to capture nonlinear couplings, and black-box models (e.g., CatBoost) fail to ensure physical consistency. To overcome these limitations, this study proposes a KM-KAN-SR framework that integrates Kolmogorov–Arnold Networks (KAN) with K-means clustering (KM) and symbolic regression (SR) to derive explicit aerodynamic force formulas. Benchmarking results highlight the superior performance of KM-KAN-SR. Specifically, KM-KAN-SR achieved R2 values of 0.931 and 0.961 for CFx_mean and CFy_mean, respectively, significantly higher than those of CFD (0.830 and 0.795) and MRA (0.849 and 0.532). Moreover, the expressions derived by KM-KAN-SR are on average 50 % less complex than those of conventional KAN-SR and remain concise and interpretable. In terms of efficiency, KM-KAN-SR generates predictions within milliseconds, whereas CFD requires millions of grid cells and hours of computation under large-eddy simulation. Sensitivity analyses further reveal that KM-KAN-SR preserves smooth, physically consistent aerodynamic trends, unlike CatBoost which exhibits step-like discontinuities. Overall, the KM-KAN-SR framework demonstrates high predictive accuracy, low formula complexity, strong physical consistency, and orders-of-magnitude faster computation, providing a robust and interpretable tool for wind-resistant design of high-rise buildings.
在密集的城市环境中,风致干扰效应给高层建筑的气动力预测带来了很大的不确定性。风洞试验和计算流体动力学(CFD)等传统方法成本高、运行时间长,而多元回归分析(MRA)缺乏捕捉非线性耦合的能力,黑箱模型(例如CatBoost)无法确保物理一致性。为了克服这些限制,本研究提出了一个KM-KAN-SR框架,该框架将Kolmogorov-Arnold网络(KAN)与K-means聚类(KM)和符号回归(SR)相结合,推导出显式的空气动力公式。基准测试结果突出了KM-KAN-SR的优越性能。其中,KM-KAN-SR对CFx_mean和CFy_mean的R2分别为0.931和0.961,显著高于CFD(0.830和0.795)和MRA(0.849和0.532)。此外,KM-KAN-SR推导出的表达式比传统KAN-SR推导出的表达式的复杂程度平均降低了50%,并且保持了简洁和可解释性。在效率方面,KM-KAN-SR可以在几毫秒内生成预测,而CFD在大涡模拟下需要数百万网格单元和数小时的计算。灵敏度分析进一步表明,KM-KAN-SR保持了光滑的、物理上一致的空气动力学趋势,而CatBoost则表现出阶梯状的不连续。总体而言,KM-KAN-SR框架具有较高的预测精度、较低的公式复杂度、较强的物理一致性和数量级的计算速度,为高层建筑的抗风设计提供了强大的可解释性工具。
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引用次数: 0
期刊
Developments in the Built Environment
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