Journal of building engineering最新文献

{"title":"Effect of hydration products on the mechanical behavior of reinforced concrete slabs made with ternary systems","authors":"Nuri Osman Emekli,&nbsp;Murat Saydan,&nbsp;Alptuğ Ünal","doi":"10.1016/j.jobe.2025.112625","DOIUrl":"10.1016/j.jobe.2025.112625","url":null,"abstract":"<div><div>Durability problems occur in concretes used in underground structures due to the effect of sulphate in groundwater. However, these structures need to be manufactured quickly to avoid economic, environmental and structural adversities. In this study, by using ternary systems, both the permeability properties of the concretes were improved and high early age strength was achieved compared to conventional concretes, and it was aimed to ensure that these structures are both resistant to external influences and much faster production compared to conventional methods. Within the scope of this study, ternary mixtures were formed using Calcium Aluminate Cement, silica fume and gypsum, which can be used in such underground structures and have a higher resistance to durability problems than OPC. Reinforced concrete slabs were produced from these mixes and the structural behavior of these slabs was determined experimentally. On the other hand, the internal structures of the mixtures were determined by microstructure analysis. In the light of the data obtained, when mechanical and microstructure tests were examined together, it was found that water impermeability increased as the amount of ettringite in the ternary blends increased, particularly in the internal structure. It is also understood that the filling effect of silica fume has a positive effect on impermeability. When the ductility behavior of reinforced concrete slabs made from ternary mixtures is examined, it can be seen that the ductility in these slabs increases as the amount of ettringite increases. Also, it was determined that the water impermeability of the samples prepared with mineral additives was up to 2.75 times better than the reference sample. The compressive strengths at the end of 1 day, according to the 28-day ultimate compressive strengths of the reference, high silica fume and high gypsum samples, are 66.50 %, 41.00 % and 43.55 %, respectively. The ductility of the reference specimen on day 1 and day 28 was found to be 14.53 % and 25.94 % higher than the specimen with high silica fume content, respectively; and 50.74 % and 24.37 % higher than the specimen with high gypsum content, respectively.</div></div>","PeriodicalId":15064,"journal":{"name":"Journal of building engineering","volume":"106 ","pages":"Article 112625"},"PeriodicalIF":6.7,"publicationDate":"2025-04-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143839147","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":"An exploration-driven framework for path planning in complex buildings using improved MADDPG","authors":"Chong Zhang ,&nbsp;Hong Liu ,&nbsp;Wenhao Li","doi":"10.1016/j.jobe.2025.112626","DOIUrl":"10.1016/j.jobe.2025.112626","url":null,"abstract":"<div><div>Multi-agent deep reinforcement learning (MADRL) methods have been extensively applied to crowd evacuation in complex building environments. However, the intricate architecture of modern buildings and high population densities hinder agent exploration efficiency, while existing approaches struggle to overcome the challenges posed by sparse rewards. To tackle these issues, this study proposes the Intrinsic Curiosity Distillation Multi-Agent Deep Deterministic Policy Gradient (ICD-MADDPG) algorithm, an exploration-driven framework for path planning in complex buildings. First, the ICD-MADDPG algorithm introduces a curiosity mechanism by integrating the Intrinsic Curiosity Module (ICM) and Random Network Distillation (RND), thereby refining the reward mechanism and significantly enhancing exploration efficiency. Next, the feature extraction process is enhanced using a Long Short-Term Memory (LSTM) network, enabling the model to effectively capture temporal dependencies in dynamic environments. Finally, a two-layer evacuation mechanism is adopted, where the crowd is divided into groups consisting of leaders and followers. Leaders utilize the ICD-MADDPG algorithm for global evacuation path planning, while followers employ the Reciprocal Velocity Obstacle (RVO) algorithm to follow the leaders and avoid collisions efficiently. Experimental results demonstrate that the ICD-MADDPG algorithm achieves superior rewards, improves evacuation efficiency, and effectively mitigates congestion. This framework provides a robust theoretical basis for optimizing evacuation strategies and offers practical value for intelligent building systems and emergency response planning.</div></div>","PeriodicalId":15064,"journal":{"name":"Journal of building engineering","volume":"107 ","pages":"Article 112626"},"PeriodicalIF":6.7,"publicationDate":"2025-04-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143855541","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":"Robust model predictive control of battery energy storage with neural network forecasting for peak shaving in university campus","authors":"Nicolas Mary,&nbsp;Louis-A. Dessaint","doi":"10.1016/j.jobe.2025.112445","DOIUrl":"10.1016/j.jobe.2025.112445","url":null,"abstract":"<div><div>This study addresses the challenge of optimizing energy consumption and managing peak demand charges in large university campuses using battery energy storage system (BESS) by demonstrating the effectiveness of a two-stage neural network-based Model Predictive Control (MPC) algorithm enhanced with robust optimization. To achieve this, we first delineate the architecture of neural networks and the Robust MPC model. Subsequent testing in simulation environments leads to the practical validation of the algorithm on a small-scale test bench configured to emulate a microgrid system. Results show that the integration of neural networks and robust optimization in an MPC framework significantly outperforms traditional control methods, achieving more effective peak shaving, reducing energy costs, and enhancing system resilience. The added robustness effectively addresses forecasting errors, making the control strategy more resilient and reliable. The successful deployment of this algorithm on a test bench underscores its practical applicability, highlighting its potential to optimize energy consumption and reduce peak demand charges in buildings. This research contributes a novel, scalable, and adaptive control strategy that bridges advanced forecasting techniques with robust MPC, providing a valuable solution to address peak demand challenges in commercial and institutional buildings.</div></div>","PeriodicalId":15064,"journal":{"name":"Journal of building engineering","volume":"107 ","pages":"Article 112445"},"PeriodicalIF":6.7,"publicationDate":"2025-04-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143855544","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":"Retraction notice to “Recycled concrete powder on cement mortar: Physico-mechanical effects and lifecycle assessments” [J. Build. Eng. 86 (2024) 108507]","authors":"P. Jagadesh, Solomon Oyebisi, A. Hareesh Muthu, A. Sarulatha, K. Supikshaa, V.P. Vhishva laxmy, Nadhim A.H. Sor, Md Azree Othuman Mydin","doi":"10.1016/j.jobe.2025.112637","DOIUrl":"https://doi.org/10.1016/j.jobe.2025.112637","url":null,"abstract":"","PeriodicalId":15064,"journal":{"name":"Journal of building engineering","volume":"54 1","pages":""},"PeriodicalIF":6.4,"publicationDate":"2025-04-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143827716","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":"Effects of blade stagger angle adjustment on the flow and noise of a counter-rotating fan","authors":"Zhang Longxin","doi":"10.1016/j.jobe.2025.112638","DOIUrl":"10.1016/j.jobe.2025.112638","url":null,"abstract":"<div><div>To improve the performance of a counter-rotating fan (CRF) installed in an outdoor unit of centralized air conditioner with the complicated inflow condition, a parameter study on the blade stagger angle (BSA) of the forward and rear rotors is performed. 9 BSA schemes are designed with an angle variation from −4° to 12°. Both experimental test and Delayed Detached Eddy Simulation (DDES) are conducted to analyze the influence of BSA adjustment on the flow structures and noise features of the CRF. As a result, the blade leading edge pressure fluctuation is weakened effectively by means of increasing the forward and rear rotors BSA properly, and lower fan noise can be achieved. While once the BSA exceeds the optimal value, the fan noise would be increased due to the enhanced pressure fluctuation induced by the suction side flow separation and tip leakage flow in the rear rotor. In this study, as the BSA of the forward and rear rotor are increased by 6° simultaneously, the fan noise reduction is most prominent, and the overall sound pressure level is lowered by 1.56 dB(A).</div></div>","PeriodicalId":15064,"journal":{"name":"Journal of building engineering","volume":"106 ","pages":"Article 112638"},"PeriodicalIF":6.7,"publicationDate":"2025-04-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143826215","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 studies on modular assembled steel plate shear wall with PEC columns","authors":"Youtao Zhu ,&nbsp;Zhanzhong Yin ,&nbsp;Dazhe Feng ,&nbsp;Guochao Ren ,&nbsp;Jun Zhu ,&nbsp;Dongbo Xu","doi":"10.1016/j.jobe.2025.112588","DOIUrl":"10.1016/j.jobe.2025.112588","url":null,"abstract":"<div><div>To enhance energy dissipation and mitigate local buckling in boundary columns of conventional steel plate shear walls (SPSWs), this study introduces a modular assembled SPSW with partially encased composite (PEC) columns (PEC-MSPSW). The structure features grid modules along the main diagonal, with PEC columns as boundary elements. Quasi-static cyclic loading tests on two 1/3-scale PEC-MSPSW specimens evaluated key seismic performance parameters, with finite element models validated against experimental data. Traditional SPSW models were developed for comparative analysis, highlighting the performance gains of PEC-MSPSWs. Results indicate that inelastic deformation primarily concentrated in the thin steel plates, forming distinct tension strips—T-shaped in corner plates and X-shaped in central plates. Stiffened angle connections enhanced local stiffness and overall structural integrity, while PEC columns effectively suppressed local buckling in boundary elements, providing robust lateral stiffness and stability. Compared to conventional systems, the energy dissipation capacity of PEC-MSPSW increased by up to 29.5 %, while its ductility improved by up to 14.9 %, further demonstrating its superior seismic performance. Although only one specimen per series was tested, introducing potential variability in certain results (e.g., the sequence of plate buckling), the overall findings remain reliable and offer useful insights into the seismic performance and practical advantages of PEC-MSPSWs. This study offers a modular solution to enhance seismic performance in earthquake-prone regions, providing adaptability, ease of construction, and a foundation for future research on post-earthquake recovery, thereby minimizing downtime and economic impact.</div></div>","PeriodicalId":15064,"journal":{"name":"Journal of building engineering","volume":"106 ","pages":"Article 112588"},"PeriodicalIF":6.7,"publicationDate":"2025-04-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143823633","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":"Optimization of classroom window design using CFD and the Taguchi method","authors":"Yunus Emre Cetin ,&nbsp;Bahadir Erman Yuce ,&nbsp;Martin Kriegel ,&nbsp;Pawel Wargocki ,&nbsp;Peter Vilhelm Nielsen","doi":"10.1016/j.jobe.2025.112580","DOIUrl":"10.1016/j.jobe.2025.112580","url":null,"abstract":"<div><div>This study investigates the effects of window position, width, height, and distance from the floor on CO₂ concentration and draft risk (DR) in a typical classroom environment using computational fluid dynamics (CFD) and the Taguchi method. The analysis assumes a classroom occupancy of 31 individuals, including the teacher. While the primary objective was to minimize CO₂ concentration, the influence of the parameters on DR was also evaluated. Four variable levels were defined for each parameter to create a comprehensive solution space. By employing an orthogonal array, only 16 parameter sets were simulated, significantly reducing computational costs while maintaining feasibility. Results indicate that window position is the most critical factor in CO₂ concentration and DR, followed by width, height, and distance from the floor. The impact ratios quantifying the relative importance of each parameter are presented for both metrics. The optimal parameter set for minimizing mean CO₂ concentration and DR is identified and validated through additional CFD simulations.</div></div>","PeriodicalId":15064,"journal":{"name":"Journal of building engineering","volume":"106 ","pages":"Article 112580"},"PeriodicalIF":6.7,"publicationDate":"2025-04-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143830143","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":"Artificial intelligence algorithms, simulation tools and software for optimization of adaptive facades: A systematic literature review","authors":"Resul Özlük ,&nbsp;Fatih Aydın ,&nbsp;Yusuf Yıldız","doi":"10.1016/j.jobe.2025.112566","DOIUrl":"10.1016/j.jobe.2025.112566","url":null,"abstract":"<div><div>In an increasingly digital world, many methods such as AI algorithms, simulation tools, and software are used for performance-based optimization of adaptive facades, and rapid developments are taking place in these areas. Currently, although there are many studies on these topics, they are not yet fully understood and addressed holistically. To fill this gap, this paper conducted a comprehensive review of these researches. In order to accomplish this objective, a bibliometric approach has been conducted with studies published between 2000 and 2023 to systematically analyze the literature on these topics. Using the systematic literature review, the case study location, case study building types, AF movement typologies, sustainability aspects, objectives of the studies and design parameters to achieve these objectives are investigated within the study scope. As a result, among the artificial intelligence algorithms used to optimize the performance of adaptive facades and their typologies, GAs (GA, NSGA-2, MOGA, MOEA) were found as the most widely used algorithms. Furthermore, the common software, simulation and modelling tools required in optimization process are Grasshopper, EnergyPlus and Rhino-Grasshopper, respectively. Finally, this review paper will make a general database for current and emerging AI algorithms and tools used in optimization of adaptive façade.</div></div>","PeriodicalId":15064,"journal":{"name":"Journal of building engineering","volume":"106 ","pages":"Article 112566"},"PeriodicalIF":6.7,"publicationDate":"2025-04-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143820984","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":"Graph-based BIM generation method for integrated design of steel modular buildings","authors":"Yi Xia ,&nbsp;Jiepeng Liu ,&nbsp;Hongtuo Qi ,&nbsp;Liqiang Wang ,&nbsp;Jiachen Li ,&nbsp;Liang Feng","doi":"10.1016/j.jobe.2025.112476","DOIUrl":"10.1016/j.jobe.2025.112476","url":null,"abstract":"<div><div>Different from traditional building types, steel modular buildings are product-oriented. It is essential to conduct an integrated design process for this building type. Proposing a systematic framework to organize information and developing a unified model for representing steel modular buildings and multiple tasks are highly desired. In the current paper, a graph-based building information model (GBIM) generation method is proposed. Firstly, a progressive ontology development procedure is conducted to integrate domain knowledge and avoid conflicts. The defined ontology is instantiated through graph models, and corresponding modification and data query process are proposed for model adaptation. Based on the generated GBIMs, visualization, semantic enrichment and model transformation can be efficiently conducted for different design purposes. In addition, the proposed GBIM method is further utilized to organize information for project management and facilitate generative design of steel modular buildings.</div></div>","PeriodicalId":15064,"journal":{"name":"Journal of building engineering","volume":"106 ","pages":"Article 112476"},"PeriodicalIF":6.7,"publicationDate":"2025-04-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143826201","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":"Approach of establishing a fuzzy multi-criteria decision model for building occupant multi-behaviors","authors":"Gaoxiang Chen ,&nbsp;Jian Yao ,&nbsp;Yichen Dang","doi":"10.1016/j.jobe.2025.112569","DOIUrl":"10.1016/j.jobe.2025.112569","url":null,"abstract":"<div><div>Existing occupant behavior (OB) models predominantly focus on single-device operations, neglecting the interdependent use patterns of multiple appliances in Chinese residential buildings. These limitations originate from multiple factors including economic considerations, thermal tolerance thresholds, behavioral habits, and anticipated duration of occupancy when coordinating appliances like AC, windows, and fans. Such behavioral complexity creates non-linear interactions between environmental parameters and energy consumption, rendering conventional single-device modeling approaches inadequate for predicting actual energy performance. To address this gap, this study proposes a fuzzy multi-criteria decision-making (FMCDM) model for the integrated use of multiple devices in occupant behavior modeling, with examples including air conditioning (AC), windows, and fans. The model combines fuzzy VIKOR (FV) and survival analysis to predict the usage priorities of multiple devices and the timing of their operation. The results demonstrate that strategies incorporating the combined use of AC, window ventilation, and fan ventilation more accurately and objectively represent actual occupant behavior and predict real energy consumption more precisely compared to single-device OB models. The multi-behaviors modeling method based on fuzzy multi-criteria decision-making proposed in this study can be further extended to the analysis and research of other building types and various energy-use behaviors associated with thermal comfort.</div></div>","PeriodicalId":15064,"journal":{"name":"Journal of building engineering","volume":"106 ","pages":"Article 112569"},"PeriodicalIF":6.7,"publicationDate":"2025-04-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143820983","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}