Journal of building engineering最新文献

{"title":"Methods, technologies and challenges of building integrated photovoltaic thermal (BIPV/T) systems to achieve net-zero in high rise buildings: A systematic review","authors":"Tahsin Anjum ,&nbsp;Md Morshed Alam ,&nbsp;Iqbal Hossain ,&nbsp;Mohamed Gomaa ,&nbsp;Laveet Kumar","doi":"10.1016/j.jobe.2025.114284","DOIUrl":"10.1016/j.jobe.2025.114284","url":null,"abstract":"<div><div>As the global building sector faces increasing pressure to reduce energy consumption and carbon emissions, achieving net-zero energy performance in buildings has become a critical objective. While rooftop solar photovoltaic (PV) systems are sufficient for low-rise buildings, their effectiveness diminishes in high-rise structures due to limited roof area and high energy demands. The integration of BIPV/T systems in high-rise buildings offers a promising path to achieving net-zero energy goals and decarbonising the building sector. This systematic literature review (SLR) analyses research from January 2014 to January 2025, exploring the role of BIPV/T systems in enabling net-zero energy buildings (nZEB), particularly in high-rise applications. The review identifies key advancements in system design, modelling approaches, thermal storage integration, and architectural adaptability. While water-based BIPV/T systems demonstrate superior thermal performance, air-based systems are more commonly implemented due to simpler integration. Advanced configurations, such as those incorporating phase change materials (PCMs), heat pipes, and concentrators, enhance energy output and thermal regulation, making them highly suitable for dense urban environments. Despite significant advancements in BIPV/T efficiency and design innovations, the review finds that less than 15 % of PV/T research focuses on BIPV/T applications, with even fewer studies targeting high-rise buildings. The review emphasises the importance of integrating BIPV/T systems with heat pumps, thermal storage, and predictive modelling (including AI/ML techniques) to optimise energy performance and reach net-zero goals. It also highlights the role of BIPV/T systems in mitigating the Urban Heat Island (UHI) effect by reducing building surface temperatures and emissions.</div></div>","PeriodicalId":15064,"journal":{"name":"Journal of building engineering","volume":"114 ","pages":"Article 114284"},"PeriodicalIF":7.4,"publicationDate":"2025-10-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145254747","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}

{"title":"From pixels to 3D models: Mask2Former-driven automated reconstruction of Jiangnan traditional villages using remote sensing images","authors":"Mengli Zhou ,&nbsp;Peidi Yin ,&nbsp;Jinxiaoyu Cui ,&nbsp;Huading Lou ,&nbsp;Zeyu Yang ,&nbsp;Jiang Liu ,&nbsp;Changhai Peng","doi":"10.1016/j.jobe.2025.114277","DOIUrl":"10.1016/j.jobe.2025.114277","url":null,"abstract":"<div><div>3D modeling is of great significance to building engineering, visualization and design, but it remains challenges of scalability, cost, and labor-intensive manual processes that are difficult to apply on a large scale in building heritage preservation and rural revitalization. To address these issues, this study proposes a novel deep learning-based approach, which for the first time combines instance segmentation, Mask2Former and Mask R-CNN, with shadow-derived height estimation from remote sensing images to achieve automated 3D reconstruction of Jiangnan traditional villages. Deep learning algorithms, Mask2Former and Mask R-CNN, were used to automatically train and predict the datasets of buildings and shadows. Morphological post-processing was then applied to regularize the extracted binary mask contours of traditional villages, and building heights were estimated through calculated shadow lengths. Finally, validation was conducted through comparisons between deep learning-estimated and measured heights from unmanned aerial vehicle tilt photography across two villages. Results demonstrate that, Mask2Former shows better performance, with accuracy of 88.95 % and precision of 89.46 %. The mean absolute error, root mean square error, and mean absolute percentage error are of all buildings are 0.53 m, 0.92 m, 9.59 %, respectively, confirming the reliability of the proposed approach in estimating building heights. This study provides an automated, efficient, and low-cost technique for 3D modeling in rural buildings, addressing the critical need for scalable traditional villages heritage digitization.</div></div>","PeriodicalId":15064,"journal":{"name":"Journal of building engineering","volume":"114 ","pages":"Article 114277"},"PeriodicalIF":7.4,"publicationDate":"2025-10-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145254750","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}

{"title":"A novel decision support framework for building refurbishment towards zero carbon emissions","authors":"Thao Thi Phuong Bui ,&nbsp;Suzanne Wilkinson ,&nbsp;Niluka Domingo ,&nbsp;Casimir MacGregor","doi":"10.1016/j.jobe.2025.114282","DOIUrl":"10.1016/j.jobe.2025.114282","url":null,"abstract":"<div><div>The refurbishment of existing buildings is vital to maximise carbon emissions reduction and alleviate the impacts of climate change. While various decision support frameworks for building refurbishment exist. There is a notable gap in the availability of comprehensive frameworks that combine diverse methods, tools, and systems to support decision-making aimed at reducing whole-of-life carbon emissions. This paper brings together the development and validation processes of a novel early-stage decision support framework for building refurbishment towards zero carbon emissions in New Zealand (RefurbZC). The development of the framework was based on the critical analysis and interpretation of the literature review, preliminary study, and case study of university buildings in New Zealand, which integrate international best practices adopted to the local context and lessons learnt from real-life case studies. The framework was validated and refined using a focus group workshop with New Zealand building experts involved in the refurbishment process. The new RefurbZC provides a better detailed guideline to use in the early stages of the refurbishment process, focusing on maximising whole-of-life carbon reduction. It helps to understand the refurbishment decision-making process, identify areas for integrating carbon-reduction initiatives, determine key factors and actors in driving carbon-reduction solutions, and promote stakeholder collaboration and integration in carbon-reduction building refurbishment. The presented framework contributes extensively to theoretical and practical knowledge of building refurbishment towards zero carbon emissions and offers a basis and foundation for future work in this research area.</div></div>","PeriodicalId":15064,"journal":{"name":"Journal of building engineering","volume":"114 ","pages":"Article 114282"},"PeriodicalIF":7.4,"publicationDate":"2025-10-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145270036","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}

{"title":"Assessment of building performance indicators using fuzzy DEMATEL approach: Comparing early-career and mid-expert perspectives","authors":"Houda Er-retby ,&nbsp;Mohamed Oualid Mghazli ,&nbsp;Myriam Bahrar ,&nbsp;Mohamed El Mankibi ,&nbsp;Mostafa Benzaazoua","doi":"10.1016/j.jobe.2025.114241","DOIUrl":"10.1016/j.jobe.2025.114241","url":null,"abstract":"<div><div>Assessing building energy performance necessitates a systematic methodology to identify and evaluate critical variables affecting overall performance. This research applies the Fuzzy DEMATEL multi-criteria decision-making (MCDM) technique to examine the interrelationships and influence of energy, structure, systems, usage, and outdoor urban environment on building efficiency. A survey was distributed to 49 practitioners in fields such as engineering, academia, and research, categorized into early-career and mid-expert groups based on their years of experience. The approach involved evaluating and classifying 26 sub-indicators under five main sub-criteria by their significance and net influence as central, impactful, determinant, or independent variables. Sensitivity analysis was conducted to explore how weight changes affect global performance, identifying variables with high influence on energy efficiency. Additionally, subjective weighting measured perceived importance, producing a ranked framework for performance evaluation. Results show that systems (24.47 %) and energy (23.85 %) are the most significant sub-criteria for mid-experts, while usage (14.24 %) and outdoor environment (14.29 %) are the least emphasized. Mid-expert practitioners focus on systemic and structural efficiency, whereas early-career professionals adopt a broader but less targeted view. This methodology offers a structured and standardized framework, supporting more accurate, balanced, and data-informed evaluations, particularly valuable during on-site energy assessments. The study offers practical outcomes for developing expertise-sensitive assessment tools and informing design priorities by aligning performance evaluations with practitioner experience.</div></div>","PeriodicalId":15064,"journal":{"name":"Journal of building engineering","volume":"114 ","pages":"Article 114241"},"PeriodicalIF":7.4,"publicationDate":"2025-10-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145270505","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}

{"title":"Comparative effects of direct carbonation and pre-soaking limewater carbonation on recycled coarse aggregates: physic-mechanical properties and concrete performance","authors":"Li Yajing ,&nbsp;Ding Yahong ,&nbsp;Zhang Meixiang ,&nbsp;Xu Ping ,&nbsp;Zhang Chunsheng ,&nbsp;Feng Wenlin ,&nbsp;Yu Mingyuan","doi":"10.1016/j.jobe.2025.114240","DOIUrl":"10.1016/j.jobe.2025.114240","url":null,"abstract":"<div><div>Amidst the escalating scarcity of resources and the burgeoning accumulation of construction waste, it is imperative to investigate the performance of carbonized recycled coarse aggregate concrete to enhance the utilization of construction solid waste and advance the adoption of environmentally sustainable low-carbon building materials. In this study, comparative effects of direct carbonation and pre-soaking limewater carbonation on the physical and mechanical properties of the recycled coarse aggregate (RCA) and recycled concrete are systematically analyzed. The carbonation mechanism is elucidated through the water absorption, crushing value, apparent density test, XRD, TG, SEM, and other microscopic characterization techniques. The results indicate that pre-soaking limewater carbonation surpasses direct carbonation, yielding more significant improvements in the water absorption (reduced by 22.9 %), crushing value (reduced by 17.7 %), and apparent density (increased by 4.1 %). These enhancements are attributed to the additional Ca²⁺ provided by limewater, which facilitates calcium carbonate precipitation to filling pores and optimizing the interface transition zone (ITZ). Regarding recycled concrete performance, the compressive, axial compressive, splitting tensile, and flexural strengths of recycled concrete prepared with pre-soaking limewater carbonized RCA are superior to those of direct carbonation group at both 7 d and 28 d ages, which is more obvious at high replacement rate. The underlying mechanism involves the carbonation products strengthening ITZ bonding and refining pore structure. The study confirms that pre-soaking limewater carbonation is an efficient technology for enhancing the properties of recycled aggregates, providing theoretical support for the development of high-performance and sustainable recycled concrete applications.</div></div>","PeriodicalId":15064,"journal":{"name":"Journal of building engineering","volume":"114 ","pages":"Article 114240"},"PeriodicalIF":7.4,"publicationDate":"2025-10-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145254751","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}

{"title":"Data-driven and physics-based modeling approaches and their integration in building digital twins: A systematic review","authors":"Jifar M. Hunde ,&nbsp;Tesfatsyon S. Ochono ,&nbsp;Damitha Senevirathne ,&nbsp;Dagimawi D. Eneyew ,&nbsp;Girma T. Bitsuamlak ,&nbsp;Miriam A.M. Capretz ,&nbsp;Katarina Grolinger","doi":"10.1016/j.jobe.2025.114214","DOIUrl":"10.1016/j.jobe.2025.114214","url":null,"abstract":"<div><div>Interest in digital twin technology has grown significantly within the building sector as part of the broader digital transformation in the architecture, engineering, and construction industry. A building digital twin is a virtual replica that captures a building’s static and dynamic behavior through data, information, and models. Digital twin models can be developed using data-driven or physics-based approaches, each with distinct advantages and limitations. Data-driven models can learn complex behaviors from data and scale well, but they require large datasets and often lack interpretability. In contrast, physics-based models offer interpretability and generalizability through fundamental principles but can be computationally demanding. Consequently, building digital twins can benefit greatly from integrating both approaches through hybrid modeling. However, the literature lacks a comprehensive analysis of integration strategies within building digital twins. This study addresses that gap by reviewing advances in data-driven and physics-based modeling and analyzing various integration levels. The results show that most studies rely on siloed models, using either approach independently without leveraging their complementary strengths. Some adopted sequential integration, where one model informs the other but lacks real-time or iterative feedback. A few achieved coupled integration, involving active data exchange and collaboration between models. Only three studies explored fusion integration, where both approaches are fully unified into a single model. Based on this review, a method is proposed for selecting the appropriate level of integration, considering factors such as data availability, interpretability, generalizability, and domain knowledge. Finally, key research gaps and future directions are identified to guide further work.</div></div>","PeriodicalId":15064,"journal":{"name":"Journal of building engineering","volume":"114 ","pages":"Article 114214"},"PeriodicalIF":7.4,"publicationDate":"2025-10-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145254770","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}

{"title":"Experimental study, finite element numerical simulation and modified mathematical models for bonding relationship between ECC and CFRP strip","authors":"Long-yu Cong ,&nbsp;Fang Zhang ,&nbsp;Yong-jiu Qian","doi":"10.1016/j.jobe.2025.114256","DOIUrl":"10.1016/j.jobe.2025.114256","url":null,"abstract":"<div><div>In this paper, twenty specimens were prepared for the double shear test in order to investigate the key parameters influencing the bonding behavior between externally bonded CFRP and ECC. The studied parameters included the bonding length, shear modulus of the adhesive layer, CFRP width and thickness, ECC tensile strength, and surface polishing treatment. A three-dimensional analytical model was developed using ABAQUS software, followed by a comprehensive parametric analysis. The results showed that ECC surface polishing significantly improved the bonding performance, and the thickness of the ECC attached to the peeled CFRP increased significantly. When the tensile strength of the ECC (3.0 MPa) is close to the bond strength of the adhesive layer (3.3 MPa), the ultimate load and ultimate slip of the specimen reach their maximum values. However, this phenomenon does not apply to all cases and is only valid when the CFRP thickness (&gt;0.167 mm) and adhesive layer shear modulus (&gt;450 MPa) are within a specific range. Increasing the CFRP thickness enhances the ultimate load, increases the effective bond length, and increases the thickness of the ECC layer adhering to the CFRP during peeling. In contrast, the shear modulus of the adhesive layer has the least influence on the bond relationship between ECC and CFRP. Finally, the prediction model of the ECC-CFRP bonding relationship was established through data regression analysis of finite element simulations. The model predictions showed good agreement with experimental values, The coefficient of determination (R²) is 0.926, and the coefficient of variation (CV) is 3.99 %. And this model is more accurate than the other current models.</div></div>","PeriodicalId":15064,"journal":{"name":"Journal of building engineering","volume":"114 ","pages":"Article 114256"},"PeriodicalIF":7.4,"publicationDate":"2025-10-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145254749","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}

{"title":"Data-driven compressive strength estimation and mix optimization for ultra-high-performance concrete","authors":"Yutao Bu ,&nbsp;Zhuocheng Cai ,&nbsp;Junyang Peng ,&nbsp;Yong Yu ,&nbsp;Jinjun Xu","doi":"10.1016/j.jobe.2025.114253","DOIUrl":"10.1016/j.jobe.2025.114253","url":null,"abstract":"<div><div>Ultra-high-performance concrete (UHPC) has found wide application in key infrastructure projects, including skyscrapers, bridges and subsurface facilities, owing to its outstanding mechanical strength and long-term durability. Its broader adoption, however, is limited by performance variability, high production costs and substantial carbon emissions. To overcome these issues, this research develops a unified framework that integrates Bayesian model updating, life cycle assessment (LCA) and ant colony optimization (ACO) to predict UHPC's mechanical and sustainability performance and optimize mix proportions. Using 102 sets of compressive test data, a physically interpretable and highly accurate strength prediction model was developed, identifying the water-to-binder ratio, silica-to-binder ratio, sand-to-binder ratio, fiber volume fraction and superplasticizer dosage as key factors. An LCA model then quantified how these variables influence the carbon footprint and cost of strength-equivalent UHPC. The ACO algorithm enabled both bi- and tri-objective mix optimization. Key findings include: (i) Reducing water-to-binder and sand-to-binder ratios while increasing silica fume, fiber and superplasticizer contents enhances strength, with the first two factors having the greatest impact. (ii) The Bayesian model surpasses traditional linear models in accuracy, robustness and interpretability. (iii) At equal strength, increasing sand-to-binder lowers cost and emissions; altering silica fume–to–binder ratio slightly affects cost while notably reducing emissions; higher fiber or superplasticizer increases both. (iv) The framework achieves up to 50 % reductions in carbon footprint and cost, and minimizes fiber use for compressive strengths below 185 MPa.</div></div>","PeriodicalId":15064,"journal":{"name":"Journal of building engineering","volume":"114 ","pages":"Article 114253"},"PeriodicalIF":7.4,"publicationDate":"2025-10-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145222991","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}

{"title":"Research advances on self-healing properties of cement-based materials containing crystalline admixtures (CA): A systematic review","authors":"Jiatai Zhou ,&nbsp;Jihui Zhao ,&nbsp;Zhendong Yao ,&nbsp;Shuang Geng ,&nbsp;Mo Zhang ,&nbsp;Jiaping Li ,&nbsp;Zhong Li ,&nbsp;Wanxing Deng ,&nbsp;Junhui Huang ,&nbsp;Kunrun Wu ,&nbsp;Feipeng Mei","doi":"10.1016/j.jobe.2025.114265","DOIUrl":"10.1016/j.jobe.2025.114265","url":null,"abstract":"<div><div>Crystalline admixtures (CA), as a high-performance cement-based self-healing material, can activate the healing function when microcracks occur in structures. This characteristic not only effectively extends the service life of buildings but also significantly enhances their impermeability and waterproofing performance, making it of great application value in the field of improving the durability of civil engineering. However, substantial variations exist in the chemical composition of CA across studies, leading to inconsistent healing mechanisms and repair outcomes influenced by multiple factors. A standardized evaluation framework for CA performance has yet to be established. This paper provides a systematic review of recent advances in the self-healing performance of CA in cement-based materials, with a focus on analyzing the active components of various CA products and their corresponding healing mechanisms. It also elucidates controversies regarding the reaction pathways between CA and C₃S or CH. The review also outlines the effects of CA on mechanical and durability properties: low dosage CA generally supports strength gain and markedly improves durability. Critical factors influencing self-healing efficiency, including curing environment, cracking age, mineral additions, and superabsorbent polymers (SAP), are systematically evaluated. Findings indicate superior healing performance in saturated Ca(OH)₂ solution and seawater compared to freshwater. Self-healing efficacy declines with increased cracking age. Mineral admixtures enhance later-stage healing, with slag showing particularly beneficial effects. SAP not only improves healing efficiency but also acts synergistically with CA to enable rapid and complete closure of macroscopic cracks. Given the absence of a consensus in evaluation protocols, this work also assesses the applicability and limitations of current self-healing assessment methods, providing insights to support reliable engineering application of CA technology.</div></div>","PeriodicalId":15064,"journal":{"name":"Journal of building engineering","volume":"114 ","pages":"Article 114265"},"PeriodicalIF":7.4,"publicationDate":"2025-10-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145270736","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}

{"title":"Experimental and numerical analysis of Tuned Sloshing Dampers and Liquid Column Vibration Absorbers for the vibration control of a multi storey frame using fluids of different viscosities","authors":"Andrea Vázquez-Greciano ,&nbsp;Nicola Buratti ,&nbsp;Antonio Aznar López ,&nbsp;Jesús María Ortiz Herrera","doi":"10.1016/j.jobe.2025.114268","DOIUrl":"10.1016/j.jobe.2025.114268","url":null,"abstract":"<div><div>Tuned Liquid Dampers (TLDs) dissipate energy through the out-of-phase fluid motion inside a container relative to a structure. This study experimentally and numerically analyses the two main TLD configurations: Tuned Sloshing Dampers (TSDs) and Liquid Column Vibration Absorbers (LCVAs).</div><div>Shake table tests are used to evaluate the Frequency Response Function of a four-story scaled frame with and without TSDs and LCVAs, comparing the effect of water and two commercially available non-organic fluids of diverse viscosities under different horizontal harmonic base excitation amplitudes.</div><div>A numerical analysis supports the interpretation of the influence of key parameters – mass, damping and frequency of the device – and evaluates the precision of existing formulations found in the literature and codes. For TSDs, the experimentally measured and numerically defined mass and frequency agree with the literature. For LCVAs the existing mass participation prediction does not align with the results: only 25 % of the total fluid mass, corresponding to the fluid inside the columns, is effective. Additionally, a new LCVA frequency formulation is proposed, reducing prediction error from 15 to 2 %. The amplitude and viscosity-dependence of the damping ratio lead to defining different optimal fluid selections depending on the container: high viscosity fluids improve surface control and vibration suppression for TSDs, reducing both the response at resonance (99.5 %) and the maximum response (84 %). For LCVAs, higher viscosity causes excess damping and non-optimum performance. In this case water yields the best resonance reduction (98 %). These findings are aimed at refining the practical application of TLDs and improving their numerical definition.</div></div>","PeriodicalId":15064,"journal":{"name":"Journal of building engineering","volume":"114 ","pages":"Article 114268"},"PeriodicalIF":7.4,"publicationDate":"2025-10-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145270738","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}