Journal Description
Buildings
Buildings
is an international, peer-reviewed, open access journal on building science, building engineering and architecture published monthly online by MDPI. The International Council for Research and Innovation in Building and Construction (CIB) is affiliated with Buildings and their members receive a discount on the article processing charges.
- Open Access— free for readers, with article processing charges (APC) paid by authors or their institutions.
- High Visibility: indexed within Scopus, SCIE (Web of Science), Inspec, and other databases.
- Journal Rank: JCR - Q2 (Engineering, Civil) / CiteScore - Q1 (Architecture)
- Rapid Publication: manuscripts are peer-reviewed and a first decision is provided to authors approximately 14.6 days after submission; acceptance to publication is undertaken in 2.6 days (median values for papers published in this journal in the second half of 2023).
- Recognition of Reviewers: reviewers who provide timely, thorough peer-review reports receive vouchers entitling them to a discount on the APC of their next publication in any MDPI journal, in appreciation of the work done.
- Companion Journal: Architecture.
Impact Factor:
3.8 (2022);
5-Year Impact Factor:
3.8 (2022)
Latest Articles
Assessing Accessible Travel Satisfaction in Old Communities: A SEM Study
Buildings 2024, 14(5), 1273; https://doi.org/10.3390/buildings14051273 (registering DOI) - 01 May 2024
Abstract
China faces a significant population of individuals with disabilities, and the aging demographic exacerbates this challenge. There is an urgent need for accessible environments for vulnerable groups such as persons with disabilities, the elderly, and pregnant women. Consequently, this study aimed to explore
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China faces a significant population of individuals with disabilities, and the aging demographic exacerbates this challenge. There is an urgent need for accessible environments for vulnerable groups such as persons with disabilities, the elderly, and pregnant women. Consequently, this study aimed to explore the factors influencing satisfaction with accessible travel in old communities in Nanchang City. Adopting a perspective encompassing vulnerabilities across all age groups, we employed interviews, on-site surveys, questionnaires, and literature reviews to construct a model of satisfaction with accessible travel. This model comprises five evaluation dimensions: pedestrian pathways, public spaces, signage guidance, social support, and software provision, encompassing twenty-seven influencing factors. Structural equation modeling (SEM) was utilized to validate the model. The research findings indicated that social support (0.697), pedestrian pathways (0.480), and public spaces (0.291) exerted a significant overall effect on satisfaction within the model, whereas the influence of software provision (0.225) and signage guidance (0.249) was comparatively smaller. Vulnerable groups within the community prioritized operational maintenance (0.818) and cultural advocacy (0.791) within social support. They also emphasized aspects of pedestrian pathways such as elevation treatment (0.809) and pavement design (0.803), as well as rest facilities (0.804) and service facilities (0.790) within public spaces. Finally, based on the weighted ranking of factors among latent variables, we propose corresponding optimization strategies and development proposals. This paper contributes to providing theoretical, practical, and technical support for the design of community accessibility that caters to socially vulnerable groups across “universal and all-ages” groups. It plays a proactive role in enhancing the quality of life for these vulnerable groups and promoting the improvement of accessibility environments in old communities.
Full article
(This article belongs to the Special Issue Human-Centric Space Design: Occupant Comfort, Wellbeing, and Post-occupancy Evaluation of Multi-Scale Built Environment)
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Open AccessArticle
Analysis of Resistance Characteristics and Research into Resistance Reduction of a Tee Based on Field Synergy
by
Yajing Yan, Chongfang Song, Wuxuan Pan, Jie Wang and Yifan Bai
Buildings 2024, 14(5), 1271; https://doi.org/10.3390/buildings14051271 (registering DOI) - 01 May 2024
Abstract
The resistance loss and energy consumption when fluid flows through a tee in an HVAC system are severe. To improve energy efficiency and reduce carbon emissions, a novel tee with a U-shaped deflector is proposed, supported by experiments and numerical simulations. The resistance
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The resistance loss and energy consumption when fluid flows through a tee in an HVAC system are severe. To improve energy efficiency and reduce carbon emissions, a novel tee with a U-shaped deflector is proposed, supported by experiments and numerical simulations. The resistance reduction mechanism of the U-shaped deflector was analyzed according to the viscous dissipation principle and the field synergy principle. The resistance reduction of the novel tee with different deflector angles and a traditional tee were compared. The results show that the resistance loss of the tee was mainly due to the flow separation and deformation of the fluid in the main branch. The relationship between the local resistance coefficient and the diameter ratio of the main-branch pipe was exponential, and the relationship between the local resistance coefficient and the diameter ratio of the main straight pipe was linear. The total resistance loss reduction rate of the tee with the addition of a 26° deflector was the highest, reaching 72.4%, the volume-weighted average synergy angle increased by 1°, and the viscous dissipation decreased by 21.7%. This study provides a reference for the resistance reduction design of complex local components such as tees in HVAC systems.
Full article
(This article belongs to the Special Issue Building Thermal Environment: Improving Indoor Comfort by Optimizing Ventilation Systems)
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The Use of Weighted Euclidean Distance to Provide Assistance in the Selection of Safety Risk Prevention and Control Strategies for Major Railway Projects
by
Feng Guo, Xinning Lv, Jianglin Gu and Yanlin Wu
Buildings 2024, 14(5), 1270; https://doi.org/10.3390/buildings14051270 (registering DOI) - 01 May 2024
Abstract
A major railway project is a complex, giant system with multi-party participation, one characterized by complex geological conditions, long construction periods and large scale, which leads to an increased likelihood of safety risk events during construction. In order to solve the problem of
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A major railway project is a complex, giant system with multi-party participation, one characterized by complex geological conditions, long construction periods and large scale, which leads to an increased likelihood of safety risk events during construction. In order to solve the problem of scientific selection and formulation of safety risk prevention and control strategies for major railway projects, an auxiliary selection method of safety risk prevention and control strategies for major railway projects based on weighted Euclidean distance (WED) is proposed. The relevant ontology is used to conceptualize and formalize the knowledge of safety risks of major railroad projects, and combine the characteristics of major railroad projects; it refers to the prevention and control measures of historical safety risk events associated with major railroad projects, and then constructs the knowledge structure and case base around safety risks of major railroad projects and the circumstances of the case. In determining the comprehensive weights, the G1 method is used to determine the subjective weights, the anti-entropy weight method is used to determine the objective weights and game theory combines the subjective and objective weights. In comparing the array of safety risk prevention and control cases associated with major railway projects, the weighted Euclidean distance is used to calculate the similarity between these cases and the target case, which in turn assists project managers in determining the safety risk prevention and control strategies appropriate for major railway projects. This study takes Landslide No. 1 in the Tunnel A inlet planning area as an example. It utilizes the WED method to assist in selecting safety risk prevention and control strategies for major railway projects, which verifies the method’s feasibility. The proposed method enriches the method of the assisted selection of safety risk prevention and control strategies for major railway projects, makes strategy formulation more scientific, has specific reference significance for the formulation of safety risk prevention and control strategies for major railway projects, and promotes the improvement of safety risk prevention and risk control for participating units.
Full article
(This article belongs to the Special Issue Digital Technologies in Architecture, Engineering and Construction (AEC))
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Open AccessArticle
Open Ground Story Mid-Rise Buildings Represented by Simplified Systems
by
José L. Cabrera, Sonia E. Ruiz and Amador Teran-Gilmore
Buildings 2024, 14(5), 1269; https://doi.org/10.3390/buildings14051269 (registering DOI) - 01 May 2024
Abstract
An improved methodology for the condensation of Multi-Degree-Of-Freedom (MDOF) systems to equivalent Two-Degree-Of-Freedom (2EDOF) systems is presented. The methodology is applied to mid-rise buildings with Open Ground-Story and verified by means of Nonlinear Time History Analyses. The buildings studied are divided into two
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An improved methodology for the condensation of Multi-Degree-Of-Freedom (MDOF) systems to equivalent Two-Degree-Of-Freedom (2EDOF) systems is presented. The methodology is applied to mid-rise buildings with Open Ground-Story and verified by means of Nonlinear Time History Analyses. The buildings studied are divided into two main segments: (a) ground story, whose stiffness and lateral strength are both provided only by reinforced concrete moment-resisting frames; and (b) from the second story to the roof, whose stiffness and lateral strength are provided by confined masonry walls. The proposed methodology allows us to do the following: (a) get the closest approximation to the real behavior of the MDOF system through the use of hysteresis rules with strength and stiffness degradation in the simplified system; (b) analyze the behavior of an OGS whose lateral stiffness is lower than the stiffness of the stories above; and (c) identify in which of the two subsystems (either the ground story with reinforced concrete frames or the second story with masonry) the maximum seismic demand of non-linear behavior occurs. For most of the cases studied and different scenarios of non-linear behavior, the 2EDOF simplified system reasonably approximates the MDOF system’s response; however, when a local failure in an upper story causes the collapse mechanism, the 2EDOF system does not adequately approximate the response of the MDOF system.
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(This article belongs to the Special Issue Structural Engineering in Building)
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Open AccessArticle
Effect of Diethanol-Isopropanolamine and Typical Supplementary Cementitious Materials on the Hydration Mechanism of BOF Slag Cement Pastes
by
Hongyu Wang, Xiaowei Gu, Xiaochuan Xu, Jianping Liu, Zhenguo Zhu and Shenyu Wang
Buildings 2024, 14(5), 1268; https://doi.org/10.3390/buildings14051268 (registering DOI) - 01 May 2024
Abstract
This study investigated the effects of lithium slag and iron tailings on the hydration mechanism of Basic Oxygen Furnace (BOF) slag cement paste with the addition of 0.06% diethanol-isopropanolamine (DEIPA). This study examined the fluidity, compressive strength, pore solution pH, and hydration products
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This study investigated the effects of lithium slag and iron tailings on the hydration mechanism of Basic Oxygen Furnace (BOF) slag cement paste with the addition of 0.06% diethanol-isopropanolamine (DEIPA). This study examined the fluidity, compressive strength, pore solution pH, and hydration products of BOF slag-based composite cementitious materials. The results showed that DEIPA facilitated the conversion from ettringite (AFt) to monosulphate (AFm) and improved the early compressive strength of the BOF slag–cement mortar. Incorporating lithium slag into the DEIPA-containing BOF slag–cement system promoted AFt formation, increased calcium-silicate-hydrate production, and enhanced the microstructure. BOF slag, lithium slag, and iron tailings exhibit synergistic effects in cement pastes. BOF slag and lithium slag provided the reactive components SiO2 and Al2O3. In the early hydration stages, the iron tailings primarily served as fillers, accelerating the system’s reactions.
Full article
(This article belongs to the Special Issue Study on Mechanical Properties of Civil Engineering Materials)
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Deep-Learning-Based Strong Ground Motion Signal Prediction in Real Time
by
Mohammad AlHamaydeh, Sara Tellab and Usman Tariq
Buildings 2024, 14(5), 1267; https://doi.org/10.3390/buildings14051267 (registering DOI) - 01 May 2024
Abstract
Processing ground motion signals at early stages can be advantageous for issuing public warnings, deploying first-responder teams, and other time-sensitive measures. Multiple Deep Learning (DL) models are presented herein, which can predict triaxial ground motion accelerations upon processing the first-arriving 0.5 s of
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Processing ground motion signals at early stages can be advantageous for issuing public warnings, deploying first-responder teams, and other time-sensitive measures. Multiple Deep Learning (DL) models are presented herein, which can predict triaxial ground motion accelerations upon processing the first-arriving 0.5 s of recorded acceleration measurements. Principal Component Analysis (PCA) and the K-means clustering algorithm were utilized to cluster 17,602 accelerograms into 3 clusters using their metadata. The accelerograms were divided into 1 million input–output pairs for training, 100,000 for validation, and 420,000 for testing. Several non-overlapping forecast horizons were explored (1, 10, 50, 100, and 200 points). Various architectures of Artificial Neural Networks (ANNs) were trained and tested, such as Convolutional Neural Networks (CNN), Recurrent Neural Networks (RNN), Long Short-Term Memory (LSTM) networks, and CNN-LSTMs. The utilized training methodology applied different aspects of supervised and unsupervised learning. The LSTM model demonstrated superior performance in terms of short-term prediction. A prediction horizon of 10 timesteps in the future with a Root Mean Squared Error (RMSE) value of 8.43 × 10−6 g was achieved. In other words, the LSTM model exhibited a performance improvement of 95% compared to the baseline benchmark, i.e., ANN. It is worth noting that all the considered models exhibited acceptable real-time performance (0.01 s) when running in testing mode. The CNN model demonstrated the fastest computational performance among all models. It predicts ground accelerations under 0.5 ms on an Intel Core i9-10900X CPU (10 cores). The models allow for the implementation of real-time structural control responses via intelligent seismic protection systems (e.g., magneto-rheological (MR) dampers).
Full article
(This article belongs to the Special Issue Recent Advances in Structural Health Monitoring of Buildings and Infrastructures)
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High-Resolution Mapping of Urban Residential Building Stock Using Multisource Geographic Data
by
Lina Shen, Lei Wang, Qi Yang and Min Ma
Buildings 2024, 14(5), 1266; https://doi.org/10.3390/buildings14051266 (registering DOI) - 30 Apr 2024
Abstract
The rapid pace of urbanization and the increasing concentration of populations in urban areas have generated a substantial demand for architectural structures, resulting in a significant increase in building stock and continuous material flows that interact with the environment. This study emphasizes the
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The rapid pace of urbanization and the increasing concentration of populations in urban areas have generated a substantial demand for architectural structures, resulting in a significant increase in building stock and continuous material flows that interact with the environment. This study emphasizes the importance of high-spatial-resolution mapping of residential building stock for effective urban-construction resource management, planning, and waste management. Focusing on Xi’an as a case study, the research develops a comprehensive framework for mapping urban residential building stock by integrating diverse data dimensions, including temporal, spatial, network, and multi-attribute aspects. The findings indicate that between 1990 and 2020, approximately 4758 residential communities were established in central Xi’an. The analysis of seven key residential construction materials revealed that the building stock escalated from 1.53 million tons to 731.12 million tons, with a steady spatial expansion of material distribution. The study attributes this growth to factors such as population increase, economic advancement, and policy initiatives, which, in turn, have driven the demand for residential building materials and reinforced the interdependence between urban expansion and residential construction development. Remarkably, from 1990 to 2020, the population surged by 2.1-fold, the economy by 66-fold, and the stock of residential building materials by 477-fold, indicating that the growth rate of material stock consistently outpaced that of both population and economic growth. Over the past three decades, the rapid expansion of residential buildings has led to the encroachment of urban ecological spaces by concrete structures. The methodology proposed in this study for quantifying building material offers valuable insights for policymakers and urban and environmental planners to foster responsible resource consumption and supports component-level circularity in the built environment.
Full article
(This article belongs to the Special Issue Sustainable Construction Management and Engineering: Residential Construction with Focus on Life Cycle of Buildings and Costs)
Open AccessArticle
Construction of a Spatial Equalization Assessment System for Medical Facilities
by
Yi Liu, Lulu Chen, Mu Qi and Dezheng Kong
Buildings 2024, 14(5), 1265; https://doi.org/10.3390/buildings14051265 (registering DOI) - 30 Apr 2024
Abstract
The spatial equalization of medical facilities can alleviate the wastage of medical resources and improve the efficiency of medical services. Therefore, it is necessary to carry out spatially balanced planning and assessment of medical facilities in cities. Existing studies on the balanced planning,
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The spatial equalization of medical facilities can alleviate the wastage of medical resources and improve the efficiency of medical services. Therefore, it is necessary to carry out spatially balanced planning and assessment of medical facilities in cities. Existing studies on the balanced planning, design, and evaluation of medical facilities have been conducted from the perspective of hospital buildings in terms of spatial utilization efficiency, service satisfaction, and their physical environment on one hand, and from the perspective of regional planning of medical facilities in terms of spatial accessibility to medical facilities and the suitability of medical facilities to the social environment on the other hand. This study hopes to break down the boundaries of each perspective and effectively integrate the architecture, planning, and social well-being of medical facilities, taking spatial equilibrium as the core, in order to establish a spatial equilibrium system for medical facilities and achieve a spatial equilibrium-based assessment of the current state of medical facilities. First, the factors influencing the spatial equilibrium of hospital buildings with the support of the system and environment of hospital buildings are determined. Second, the indicators of the spatial equilibrium of hospital buildings are extracted through the consideration of influencing factors, and the indicator weights are determined by discussing the degree to which they contribute to the influence of the operation of hospital building spatial equilibrium systems, thus forming a system of equilibrium indicators for hospital buildings. Finally, a spatial equilibrium evaluation model for hospital buildings is established to assess the effects of equilibrium. The results obtained in this study provide insights into the regional planning of medical facilities and the design of hospital buildings.
Full article
(This article belongs to the Section Architectural Design, Urban Science, and Real Estate)
Open AccessArticle
Study on the Failure Process and Acoustic Emission Characteristics of Freeze–Thawed Sandstone under Cyclic Loading and Unloading
by
Chaoyun Yu, Shenghui Huang, Junkun Li, Xiangye Wu, Yuhang Tian and Xiankai Bao
Buildings 2024, 14(5), 1264; https://doi.org/10.3390/buildings14051264 (registering DOI) - 30 Apr 2024
Abstract
In order to investigate freeze–thawed red sandstone failure processes under cyclic loading and unloading conditions, real-time acoustic emission (AE) and scanning electron microscopy (SEM) techniques were used to reveal the fracture process of the saturated red sandstone after cyclic loading and unloading tests
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In order to investigate freeze–thawed red sandstone failure processes under cyclic loading and unloading conditions, real-time acoustic emission (AE) and scanning electron microscopy (SEM) techniques were used to reveal the fracture process of the saturated red sandstone after cyclic loading and unloading tests using uniaxial compression. The results show that the stress–strain curves of the freeze–thawed sandstones show signs of hysteresis and exhibit a two-stage evolution of “sparse → dense”. In the cyclic loading and unloading process, the modulus of elasticity in the loading process is always larger than that in the unloading process, while the Poisson’s ratio is the opposite, and the radial irreversible strain and cumulative irreversible strain are larger than those in the axial direction. As the number of freeze–thaw cycles increases, the rock specimens need more cycles of loading and unloading to make the crack volume compressive strain reach the maximum value and tend to stabilize, while the crack volume extensional strain tends to decrease gradually. This study also shows that the growth phase of the cyclic loading and unloading process has more ringing counts and a shorter duration, while the slow degradation phase has more ringing counts with loading and less with unloading. In addition, the F-T cycle gradually changes the internal microcracks of the red sandstone from shear damage, which is dominated by shear cracks, to tensile damage, which is dominated by tensile cracks. This study’s findings contribute to our knowledge of the mechanical characteristics and sandstone’s degradation process following F-T treatment, and also serve as a guide for engineering stability analyses conducted in the presence of multiphysical field coupling.
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(This article belongs to the Special Issue Construction in Urban Underground Space)
Open AccessArticle
Seismic Fragility Estimation Based on Machine Learning and Particle Swarm Optimization
by
Qingzhao Kong, Jiaxuan Liu, Xiaohan Wu and Cheng Yuan
Buildings 2024, 14(5), 1263; https://doi.org/10.3390/buildings14051263 - 30 Apr 2024
Abstract
In seismic performance assessment, the development of building fragility curves is critical for performance-based engineering. Traditional methods for time history analysis, reliant on detailed ground motion (GM) inputs, often suffer from inefficiency and a lack of automation. This study proposes an accurate fragility
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In seismic performance assessment, the development of building fragility curves is critical for performance-based engineering. Traditional methods for time history analysis, reliant on detailed ground motion (GM) inputs, often suffer from inefficiency and a lack of automation. This study proposes an accurate fragility assessment methodology, which is assisted by machine learning (ML) and particle swarm optimization (PSO), adept at handling scenarios with both scarce and sufficient fragility data. Under scenarios of scarce data, the integrated algorithms of PSO and ML are utilized, focusing on selecting GMs that may induce maximum inter-story drifts. When the dataset is sufficient, an ML fusion model is utilized to predict engineering demand parameters (EDPs), facilitating the generation of more accurate fragility curves. The effectiveness of this method is demonstrated through a case study on a high-rise reinforced concrete (RC) building, revealing a marked improvement in the precision of GM selection and the estimated range of fragility curves over traditional approaches. The proposed methodology aids in advancing structural optimization and the development of early-warning systems for seismic events, thus holding the potential to enhance current seismic risk mitigation strategies.
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(This article belongs to the Section Building Structures)
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Quantifying the Impact of Carbon Reduction Interventions and Incentive Mechanisms in Campus Buildings: A Case Study from a Chinese University
by
Li Xue, Hejun Xu, Zixuan Zhang and Nan Li
Buildings 2024, 14(5), 1262; https://doi.org/10.3390/buildings14051262 - 30 Apr 2024
Abstract
With the development of sustainable cities, densely populated higher education institutions increasingly emphasize the sustainability of campuses and their impact on the environment. However, there is a lack of means to quantify emission reduction measures. This study aims to propose an evaluation framework
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With the development of sustainable cities, densely populated higher education institutions increasingly emphasize the sustainability of campuses and their impact on the environment. However, there is a lack of means to quantify emission reduction measures. This study aims to propose an evaluation framework that can quantify energy conservation and emission reduction measures and incentive policies. To this end, this study adopts a mixed methods approach, using questionnaires to assess the effectiveness of management and communication interventions and the impact of incentives on residents’ willingness to participate in emission reduction efforts. The survey results show that although the support for the intervention measures is slightly higher than the average, specific measures such as adjusting dormitory lights-out time and providing sports equipment show superior emission reduction potential. Universities could reduce carbon emissions by about 560 tons per year without incentives and just using interventions. However, when incentives and interventions are combined, the university’s annual emissions reductions are expected to increase to 800 to 1045 tons. Research also highlights the importance of understanding the relationship between occupant behavior, energy consumption, and building carbon emissions. By quantifying the impact of carbon reduction measures and incentives on the daily behaviors of residents, universities can more effectively implement sustainable campus strategies.
Full article
(This article belongs to the Special Issue Green Building Design and Construction for a Sustainable Future)
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Do Government Subsidies Induce Green Transition of Construction Industry? Evidence from Listed Firms in China
by
Feifei Zhang, Bingquan Liu and Guixin An
Buildings 2024, 14(5), 1261; https://doi.org/10.3390/buildings14051261 - 30 Apr 2024
Abstract
The construction industry is a major energy consumer and carbon emitter, and identifying the key drivers for its green transition has attracted increasing attention. Although government subsidies are one of the most effective and direct ways to induce a green transition, few academics
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The construction industry is a major energy consumer and carbon emitter, and identifying the key drivers for its green transition has attracted increasing attention. Although government subsidies are one of the most effective and direct ways to induce a green transition, few academics have examined their effects at a micro level. Therefore, this study used the Chinese construction industry as an example to study the influence of subsidies on its green transition. Given the ambiguity of the green transition concept, this study employed the number of green patents and Environmental, Social, and Governance (ESG) ratings to represent the narrow sense and the wide sense of green transition, respectively. According to the empirical findings, subsidies can successfully induce green technology innovation and thus facilitate a green transition. The results of heterogeneity analysis show that government subsidies have a significant incentive-based effect solely on state-owned firms, but an insufficient effect on private and other enterprises. Furthermore, while government subsidies have little effect on ESG ratings, they can promote green transition of enterprises by increasing ESG ratings. The government should increase the types of subsidy packages available to enterprises, while attaching more importance to social responsibility.
Full article
(This article belongs to the Special Issue Research on Green and Low-Carbon Buildings)
Open AccessArticle
Applying Building Information Modelling (BIM) Technology in Pre-Tender Cost Estimation of Construction Projects: A Case Study in Iran
by
Amirreza Rashidi, Daniel W. M. Chan, Mehdi Ravanshadnia, Hadi Sarvari and Abbas Tajaddini
Buildings 2024, 14(5), 1260; https://doi.org/10.3390/buildings14051260 - 30 Apr 2024
Abstract
The pre-tender cost estimation serves as the foundation for determining the project cost in the early stages and is crucial for all parties involved in the tendering process. It is expected to be highly accurate. However, industry surveys have advocated that in the
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The pre-tender cost estimation serves as the foundation for determining the project cost in the early stages and is crucial for all parties involved in the tendering process. It is expected to be highly accurate. However, industry surveys have advocated that in the Iranian construction industry, the pre-tender estimated costs of construction projects are not sufficiently accurate during the bidding stage. Building information modelling (BIM) technology is a modern digital tool deployed in the construction industry that has seen substantial growth of application. It employs useful tools in different sectors and has extended its involvement in various stages of the project lifecycle, including feasibility studies, planning, design, construction, and operation and maintenance. This study examines and assesses the status of BIM development in Iran for its applicability in the pre-tender cost estimating process in construction projects. The findings of this study indicate that while there is a limited number of Iranian building projects’ BIM models that possess the required quality and capabilities for BIM-based cost estimation, the results obtained are more precise when compared to existing manual methods. Additionally, utilising BIM-based cost estimation significantly reduces the time required for this process by enhancing the speed of cost estimation operations. An innovative evaluation framework for assessing the quality and functionalities of BIM models is presented, which improves the accuracy of cost estimation before the bidding process in Iran’s construction industry. The research findings demonstrate the enhanced accuracy and effectiveness of BIM as compared to conventional approaches. It also suggests the incorporation of AI technology for model evaluation, which has the potential to become an established global industry standard.
Full article
(This article belongs to the Special Issue Digital Transformation in the Construction Industry: Latest Advances and Prospects)
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Open AccessArticle
Study on the Properties and Hydration Mechanism of Calcium Carbide Residue-Based Low-Carbon Cementitious Materials
by
Qing Wang, Ying Wang, Xiaowei Gu, Jianping Liu and Xiaochuan Xu
Buildings 2024, 14(5), 1259; https://doi.org/10.3390/buildings14051259 - 30 Apr 2024
Abstract
Alkali-activated cementitious materials, as an environmentally friendly cementitious material, can effectively reduce carbon emissions and improve the utilisation of solid wastes. However, traditional strong alkali activators have limitations such as high carbon emissions and poor safety. In order to overcome the defects of
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Alkali-activated cementitious materials, as an environmentally friendly cementitious material, can effectively reduce carbon emissions and improve the utilisation of solid wastes. However, traditional strong alkali activators have limitations such as high carbon emissions and poor safety. In order to overcome the defects of traditional strong alkaline activators and realise the high value-added use of calcium carbide residue (CCR), this paper adopts CCR as an alkaline activator to activate granulated blast furnace slag (GBFS)-steel slag (SS) cementitious systems for the preparation of alkaline-activated cementitious materials. The effects of CCR content and SS content on the compressive strength and working performance of CCR-GBFS-SS cementitious systems are analysed, along with the hydration process of CCR-GBFS-SS cementitious systems and the mechanism of action through the hydration products, their chemical structure and their microscopic morphology. The research results show that CCR-GBFS-SS cementitious systems have a 28-day compressive strength of 41.5 MPa and they can be controlled by the setting time; however, the flow performance is poor. The SS content can be increased to improve the flow performance; however, this will reduce the compressive strength. In CCR-GBFS-SS cementitious systems, CCR is the main driving force of hydration reactions, GBFS mainly provides active silica and aluminium and the amorphous C-(A)-S-H gel and ettringite formed by the synergistic action of multiple solid wastes are the main sources of compressive strength. With the extension of the curing time, the amount of hydration products in the cementitious systems gradually increases and the matrix of the cementitious systems gradually becomes denser. This study will provide a reference for the consumption of low-value solid waste such as CCR and the preparation of low-carbon cementitious materials from multi-component solid wastes.
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(This article belongs to the Special Issue Study on Mechanical Properties of Civil Engineering Materials)
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Analysis of the Spatial Distribution Characteristics and Influencing Factors of Traditional Mosque Architecture in the Hehuang Area (China)
by
Yuehao Huang and Qianming Xue
Buildings 2024, 14(5), 1258; https://doi.org/10.3390/buildings14051258 - 29 Apr 2024
Abstract
Clarifying the spatiotemporal distribution and influencing factors of mosque architecture in China’s Hehuang region has significant positive implications for the overall protection and development of the region’s architectural cultural heritage. This study utilizes field surveys and acquires POI data of traditional mosques built
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Clarifying the spatiotemporal distribution and influencing factors of mosque architecture in China’s Hehuang region has significant positive implications for the overall protection and development of the region’s architectural cultural heritage. This study utilizes field surveys and acquires POI data of traditional mosques built before 1993 in the region to analyze the distribution characteristics of mosques, aiming to explore future development trends of these religious structures. It also investigates the influencing factors, with the goal of emphasizing the primary and secondary factors affecting mosque distribution. The study finds the following: (1) Mosques are generally centered around the Huangshui Valley, displaying a “central clustering, peripheral dispersal” distribution pattern, forming a spatial structure of “two cores, one belt, multiple points”, with distinct differentiation and overall uneven distribution. (2) Mosques are primarily situated at elevations between 2147 and 2764 m; on slopes less than 15°, in sunny and gentle slopes; within 20 km from rivers; within 14 km from roads; in areas receiving 400–500 mm annual rainfall; and within temperature ranges of 5.54–10.22°C. (3) The study also finds that the spatial distribution of mosques is profoundly influenced by both natural geographical factors and human environmental factors. The better the natural location, the larger and denser the population, the richer the cultural resources, the higher the level of economic development, and the greater the concentration of Hui people, the more numerous and concentrated the mosques. (4) Population factors are the dominant factors for the clustered distribution of traditional mosques in the Hehuang area. Since the construction of mosques in the region is closely related to the number of Hui people and the proportion of Muslim adherents, areas with a high concentration of mosques also have relatively larger populations of Hui people. Temperature, precipitation, altitude, rivers, and roads are foundational factors for traditional mosques in the Hehuang area, influencing mosque distribution as external factors.
Full article
(This article belongs to the Section Architectural Design, Urban Science, and Real Estate)
Open AccessFeature PaperArticle
Research Review of Green Building Rating System under the Background of Carbon Peak and Carbon Neutrality
by
Jin Mao, Hao Yuan, Lun Xiong and Bo Huang
Buildings 2024, 14(5), 1257; https://doi.org/10.3390/buildings14051257 - 29 Apr 2024
Abstract
In order to foster a more sustainable and eco-friendly trajectory for the construction industry, while concurrently mitigating environmental pollution and energy inefficiency, it is imperative to cultivate an environmentally conscious building and urban environment. Under the background of Carbon Peak and Carbon Neutrality,
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In order to foster a more sustainable and eco-friendly trajectory for the construction industry, while concurrently mitigating environmental pollution and energy inefficiency, it is imperative to cultivate an environmentally conscious building and urban environment. Under the background of Carbon Peak and Carbon Neutrality, the green building rating system has become a research hotspot in the field of green building. This paper systematically summarizes the research progress of the GBRS in weight setting, indicator setting, and the evaluation process, and creatively proposes the following three directions for future research: (1) Weight determination methods based on machine learning or deep learning models, and reasonable weight allocation by mixing multiple evaluation methods. (2) Setting dynamic evaluation indicators, strengthening interdisciplinary research and regional consideration, and introducing a life cycle assessment to solve the problem of setting indicators in the existing evaluation system. (3) Combine building information modeling with GBRS to realize the automation and intelligence of evaluation and improve the comprehensiveness and accuracy of evaluation.
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(This article belongs to the Special Issue New Technology of Green Intelligent Construction and Risk Assessment in Architectural Structures)
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Open AccessReview
Frontier Revitalisation of Industrial Heritage with Urban–Rural Fringe in China
by
Tingjiang Gan, Juan Chen, Muxia Yao, Jeremy Cenci, Jiazhen Zhang and Yunxiao He
Buildings 2024, 14(5), 1256; https://doi.org/10.3390/buildings14051256 - 29 Apr 2024
Abstract
The urban–rural fringe is at the forefront of the confrontation between the agricultural and industrial civilisations. How to handle the relationship between the two civilisations in this region and ensure its sustainable development is an eternal topic in the science of the human-living
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The urban–rural fringe is at the forefront of the confrontation between the agricultural and industrial civilisations. How to handle the relationship between the two civilisations in this region and ensure its sustainable development is an eternal topic in the science of the human-living environment. Thanks to the special historical background of the Third Line construction, China’s industrial heritage connects with the urban–rural fringe that surpasses other countries. For the first time, this study connects China’s Third Line construction, industrial heritage, and urban–rural integration within the same context, combining big data bibliometric methods to obtain the development characteristics and context of China’s industrial heritage research starting from 2004. It has strong policy characteristics, is influenced by administrative orders, and is aligned with urbanisation efforts. Theoretical exploration is the first step in research, followed by value connotations and cultural qualities. It addresses various topics, including industrial heritage conservation, regeneration approaches, and cultural heritage tourism. The research focuses primarily on the value appraisal of industrial heritage, exploring revitalisation tactics and routes, as well as regional development models in urban–rural periphery areas. This study also examines how scholars generally consider the impact of industrial heritage on the economic, social, and cultural development of urban–rural fringe areas in order to integrate and propose various protection and utilisation strategies, such as industrial heritage preservation, cultural and creative industry development, and tourism resource development.
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(This article belongs to the Special Issue Industrial Heritage Protection and Sustainable Development in the Context of High-Density Urban Environment)
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Open AccessArticle
Research on Statistical Characteristics and Prediction Methods of Ferronickel Slag Pervious Concrete Performance with Different Sizes of Aggregate and Mixtures
by
Zhongping Tang, Hua Peng, Shixiang Yi and Fan Feng
Buildings 2024, 14(5), 1255; https://doi.org/10.3390/buildings14051255 - 29 Apr 2024
Abstract
In the exploration of sustainable construction materials, the application of ferronickel slag (FNS) in creating pervious concrete has been investigated, considering its potential to meet the dual requirements of mechanical strength and fluid permeability. To elucidate the statistical properties and models for predicting
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In the exploration of sustainable construction materials, the application of ferronickel slag (FNS) in creating pervious concrete has been investigated, considering its potential to meet the dual requirements of mechanical strength and fluid permeability. To elucidate the statistical properties and models for predicting the performance of FNS-composited pervious concrete with different sizes of aggregates and mixtures, a series of experiments, including 54 kinds of mixtures and three kinds of aggregate, were conducted. The focus was on measuring the compressive strength and the permeability coefficient. The results indicate that the compressive strength of pervious concrete decreases with the increase in aggregate size, while the permeability coefficient increases with the increase in aggregate size. Through normalization, the variability of these properties was quantitatively analyzed, revealing coefficients of variation for the concrete’s overall compressive strength and the permeability coefficient at 0.166, 0.132, and 0.150, respectively. Predictive models were developed using machine learning techniques, such as Linear Regression, Support Vector Machines, Regression Trees, and Gaussian Process Regression. These models demonstrated proficiency in forecasting the concrete’s compressive strength and permeability coefficient.
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(This article belongs to the Section Building Materials, and Repair & Renovation)
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Optimising Plate Thickness in Interlocking Inter-Module Connections for Modular Steel Buildings: A Finite Element and Random Forest Approach
by
Khaled Elsayed, Azrul A. Mutalib, Mohamed Elsayed and Mohd Reza Azmi
Buildings 2024, 14(5), 1254; https://doi.org/10.3390/buildings14051254 - 29 Apr 2024
Abstract
Interlocking Inter-Module Connections (IMCs) in Modular Steel Buildings (MSBs) have garnered significant interest from researchers. Despite this, the optimisation of plate thicknesses in such structures has yet to be extensively explored in the existing literature. Therefore, this paper focuses on optimising the thickness
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Interlocking Inter-Module Connections (IMCs) in Modular Steel Buildings (MSBs) have garnered significant interest from researchers. Despite this, the optimisation of plate thicknesses in such structures has yet to be extensively explored in the existing literature. Therefore, this paper focuses on optimising the thickness of interlocking IMCs in MSBs by leveraging established experimental and numerical simulation methodologies. The study developed various numerical models for IMCs with plate thicknesses of 4 mm, 6 mm, 10 mm, and 12 mm, all subjected to compression loading conditions. The novelty of this study lies in its comprehensive parametric analysis, which evaluates the slip prediction model. A random forest regression model, trained using the ‘TreeBagger’ function, was also implemented to predict slip values based on applied force. Sensitivity analysis and comparisons with alternative methods underscored the reliability and applicability of the findings. The results indicate that a plate thickness of 11.03 mm is optimal for interlocking IMCs in MSBs, achieving up to 8.08% in material cost reductions while increasing deformation resistance by up to 50.75%. The ‘TreeBagger’ random forest regression significantly enhanced slip prediction accuracy by up to 7% at higher force levels.
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(This article belongs to the Section Building Structures)
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Open AccessArticle
Study on Labor Productivity Improvement Based on Situational Awareness and Improved Value Stream Mapping
by
Lixuan Jiang, Hongying Shen and Jinhua Zhang
Buildings 2024, 14(5), 1253; https://doi.org/10.3390/buildings14051253 - 29 Apr 2024
Abstract
This study addresses the issue of poor construction labor productivity, exploring the process and methodology for increasing construction workers’ participation in labor productivity improvement, as well as a situational awareness (SA) development approach for construction workers based on lean construction (LC). A framework
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This study addresses the issue of poor construction labor productivity, exploring the process and methodology for increasing construction workers’ participation in labor productivity improvement, as well as a situational awareness (SA) development approach for construction workers based on lean construction (LC). A framework for enhancing labor productivity through SA has been developed. A case study approach is utilized to describe the LC improvement process, which includes enhancing construction workers’ SA for waste minimization and process optimization and engaging them in LC with improved value stream mapping (VSM). The labor productivity measurement approach, combined with VSM, is used to evaluate the labor productivity improvement with labor productivity improvement rate, resource efficiency, and flow efficiency. The results demonstrate that the labor productivity of the case project has increased by 24.07%, with 11.54% contributing resource efficiency and 88.46% contributing flow efficiency, indicating a greater increase in flow efficiency. This study fills a research gap in terms of the combination of construction workers’ SA enhancement and the involvement of LC practices to boost labor productivity. Furthermore, this study proposes an SA development approach based on LC at three levels: waste perception, VSM implementation, and labor productivity improvement assessment. This provides new perspectives for leveraging construction workers’ SA to increase labor productivity. The improved VSM approach and labor productivity measurements provide an operationalization of workers’ participation in continuous improvement. This research is of great practical relevance for augmenting the competencies of construction laborers and inspiring them to engage in labor productivity enhancement.
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(This article belongs to the Special Issue Unearthing the Value of Data in the Architecture, Engineering and Construction (AEC) Industry)
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