Buildings

28 pages, 4284 KiB

Open AccessArticle

Optimization via Taguchi of Artificial Lightweight Aggregates Obtained from Kaolinite Clay and Ceramic Waste: Development and Industrial Applications

by José Anselmo da Silva Neto, Marcos Alyssandro Soares dos Anjos, Ricardo Peixoto Suassuna Dutra, Maelson Mendonça de Souza and Cinthia Maia Pederneiras

Buildings 2025, 15(12), 2003; https://doi.org/10.3390/buildings15122003 - 10 Jun 2025

Abstract

Lightweight artificial aggregates (LWAs) are widely used in civil construction, but their conventional production depends on pure clays, a finite natural resource that negatively impacts the environment. This study aims to contribute to minimizing this issue by exploring the use of sustainable ternary [...] Read more.

Lightweight artificial aggregates (LWAs) are widely used in civil construction, but their conventional production depends on pure clays, a finite natural resource that negatively impacts the environment. This study aims to contribute to minimizing this issue by exploring the use of sustainable ternary mixtures of kaolinitic clay (KC), chamotte residues (CHT), and eucalyptus firewood ash (EFA), promoting a more environmentally friendly approach to the manufacture of LWAs. Thus, the aim was to develop and optimize LWAs using different replacements of industrial waste. Furthermore, the Taguchi method is employed to identify the optimal manufacturing parameters, such as waste content, sintering temperature, and heating time. The research involved the production of 32 distinct mixtures with different proportions of KC, CHT, and EFA, processed through grinding and sintering at temperatures ranging from 1075 °C to 1180 °C. The samples were evaluated for density, water absorption, mechanical strength, and expansion index. Statistical analysis was conducted using ANOVA to validate the most significant factors. The results revealed that mixtures with 80% of waste presented an aggregate expansion index of up to 60%, a minimum bulk density of 1.20 g/cm³ (which aligns with requirements for structural applications but exceeds the maximum bulk density for some lightweight aggregates), and crushing strength higher than 5 MPa, satisfying the normative criteria for commercial LWAs. In addition, 63 industrial applications were identified for the developed materials, ranging from structural lightweight concretes to thermal and acoustic insulation with varied microstructures. Therefore, the partial replacement of clay by CHT and EFA waste represents a promising alternative for producing sustainable LWAs, helping to reduce environmental impacts while providing quality materials for various applications in the most diverse industrial sectors. Full article

(This article belongs to the Topic Smart Material and Smart Construction Technologies for Urban Development)

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22 pages, 5401 KiB

Open AccessArticle

Responsive Public Policies for Smart and Sustainable Buildings: An Experimental Application of the Smart Readiness Indicator

by Massimo Lauria, Maria Azzalin, Francesca Giglio and Giovanna Maria La Face

Buildings 2025, 15(12), 2002; https://doi.org/10.3390/buildings15122002 - 10 Jun 2025

Abstract

The digital transition and decarbonization are strategic European objectives, supported at different levels by the Green Deal, the Energy Performance Building Directive (EPBD), and policies and tools such as the Energy Performance Certificate (EPC) and the Smart Readiness Indicator (SRI). The SRI measures [...] Read more.

The digital transition and decarbonization are strategic European objectives, supported at different levels by the Green Deal, the Energy Performance Building Directive (EPBD), and policies and tools such as the Energy Performance Certificate (EPC) and the Smart Readiness Indicator (SRI). The SRI measures a building’s ability to use intelligent technologies to reduce its consumption and increase the energy awareness of occupants for energy efficiency. Furthermore, today, it has a limited impact on national regulations and public decision-making. Its application presents challenges including those related to heritage conservation. This paper contributes to the Italian SRI framework through an experimental application in the renovation of a historic building in the metropolitan city of Reggio Calabria (Italy). The analysis evaluates the SRI’s adaptability by comparing its pre-renovated state, current state, and pre-design plan. The SRI calculation integrates assessment tools with BIM models for a potential future digital twin approach. The study, part of a funded national research project, aims to enhance policies for digitalization in the green transition. The paper is organized into the Introduction; Materials and Methods, which contains the methodological approach; Results; and Discussion and Conclusions. Following the experimental application, the results show that standardizing the SRI approach could enhance energy efficiency and digitalization in buildings. Full article

(This article belongs to the Special Issue Advanced Research on Smart Buildings and Sustainable Construction)

32 pages, 3156 KiB

Open AccessArticle

Building Fire Location Predictions Based on FDS and Hybrid Modelling

by Yanxi Cao, Hongyan Ma, Shun Wang and Yingda Zhang

Buildings 2025, 15(12), 2001; https://doi.org/10.3390/buildings15122001 - 10 Jun 2025

Abstract

With the goal of addressing the difficulty of rapidly identifying the source of fire in commercial buildings, this study builds a numerical fire model based on the fire dynamics simulator (FDS) and combines it with a hybrid model to predict the location of [...] Read more.

With the goal of addressing the difficulty of rapidly identifying the source of fire in commercial buildings, this study builds a numerical fire model based on the fire dynamics simulator (FDS) and combines it with a hybrid model to predict the location of a fire source. Different scenarios were built to simulate the spatial and temporal distributions of key parameters such as temperature, smoke, and CO concentration during the fire process. Combining convolutional neural networks (CNNs) and support vector machines (SVMs) for prediction, the fire-source location prediction model with temperature, smoke, and CO concentration as feature quantities was constructed, and the hyperparameters affecting the model accuracy and generalisation were optimised by the Crested Porcupine Optimizer (CPO) algorithm. The experimental results show that the positioning error of this method under the building plane is less than 0.95 m, the mean absolute error (MAE) is within 0.35, and the root-mean-square error (RMSE) is within 0.41, which are 43% and 82% higher than the unoptimised model, respectively. The localisation accuracy of the fire-source room is 97.61%. In addition, the model’s anti-interference performance was tested under various extreme conditions. The results show that the proposed model can ensure the accurate location of a fire source and can provide information in emergencies. Full article

(This article belongs to the Section Construction Management, and Computers & Digitization)

22 pages, 3010 KiB

Open AccessArticle

Seismic Performance Research of Self-Centering Single-Column Bridges Using Equivalent Stiffness Theory

by Huixing Gao, Wenjing Xia and Hongxu Lu

Buildings 2025, 15(12), 2000; https://doi.org/10.3390/buildings15122000 - 10 Jun 2025

Abstract

Single-column hybrid-reinforced self-centering segmental assembled bridges (SHR-SCSAB) exhibit vertical stiffness discontinuities, significantly impacting the refinement of their seismic design methodology. In this study, we investigate SHR-SCSAB by employing the finite strip method to calculate the maximum transverse bearing capability of segmental assembled piers, [...] Read more.

Single-column hybrid-reinforced self-centering segmental assembled bridges (SHR-SCSAB) exhibit vertical stiffness discontinuities, significantly impacting the refinement of their seismic design methodology. In this study, we investigate SHR-SCSAB by employing the finite strip method to calculate the maximum transverse bearing capability of segmental assembled piers, and the corresponding horizontal displacement at the pier top. By leveraging the mechanical properties of hybrid reinforcement materials, we further derive an analytical expression for the equivalent elastic stiffness of SHR-SCSAB as an integrated system. OpenSees software was used to establish a finite element model of the SHR-SCSAB, and the agreement between numerical simulations and analytical solutions validates the accuracy of the derived equivalent elastic stiffness expression. Additionally, this study evaluates the seismic performance of single-column SHR-SCSAB and examines the influence of key parameters on its behavior. The results demonstrate that hybrid reinforcement effectively addresses the low energy dissipation capacity inherent in self-centering bridges while preserving their advantage of minimal residual displacement. These findings significantly advance the refinement of seismic design methods for SHR-SCSAB. Full article

(This article belongs to the Section Building Structures)

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37 pages, 1913 KiB

Open AccessArticle

Socio-Spatial Bridging Through Walkability: A GIS and Mixed-Methods Analysis in Amman, Jordan

by Majd Al-Homoud and Sara Al-Zghoul

Buildings 2025, 15(12), 1999; https://doi.org/10.3390/buildings15121999 - 10 Jun 2025

Abstract

Decades of migration and refugee influxes have driven Amman’s rapid urban growth, yet newer neighborhoods increasingly grapple with fragmented social cohesion. This study examines whether walkable design can strengthen community bonds, focusing on Deir Ghbar, a car-centric district in West Amman. Using GIS [...] Read more.

Decades of migration and refugee influxes have driven Amman’s rapid urban growth, yet newer neighborhoods increasingly grapple with fragmented social cohesion. This study examines whether walkable design can strengthen community bonds, focusing on Deir Ghbar, a car-centric district in West Amman. Using GIS and mixed-methods analysis, we assess how walkability metrics (residential density, street connectivity, land-use mix, and retail density) correlate with sense of community. The results reveal that street connectivity and residential density enhance social cohesion, while land-use mix exhibits no significant effect. High-density, compact neighborhoods foster neighborly interactions, but major roads disrupt these connections. A critical mismatch emerges between quantitative land-use metrics and resident experiences, highlighting the need to integrate spatial data with community insights. Amman’s zoning policies, particularly the stark contrast between affluent low-density Zones A/B and underserved high-density Zones C/D, perpetuate socio-spatial segregation—a central critique of this study. We urge the Greater Amman Municipality’s 2025 Master Plan to prioritize mixed-density zoning, pedestrian retrofits (e.g., traffic calming and sidewalk upgrades), and equitable access to amenities. This study provides a replicable GIS and survey-based framework to address urban socio-spatial divides, aligning with SDG 11 for inclusive cities. It advocates for mixed-density zoning and pedestrian-first interventions in Amman’s Master Plan. By integrating a GIS with social surveys, this study offers a replicable model for addressing socio-spatial divides in cities facing displacement and inequality. Full article

(This article belongs to the Section Architectural Design, Urban Science, and Real Estate)

15 pages, 2203 KiB

Open AccessArticle

Study on the Effect of EICP Combined with Nano-SiO₂ and Soil Stabilizer on Improving Loess Surface Strength

by Xueyan Wang, Bo Wang, Yili Yuan, Tao Yang, Guojie Dong and Chen Shi

Buildings 2025, 15(12), 1998; https://doi.org/10.3390/buildings15121998 - 10 Jun 2025

Abstract

Loess, predominantly distributed in arid and semi-arid regions of central and western China, exhibits low shear strength and structural instability, rendering it prone to geological hazards such as landslides and collapses, which pose significant threats to local infrastructure and safety. This study evaluated [...] Read more.

Loess, predominantly distributed in arid and semi-arid regions of central and western China, exhibits low shear strength and structural instability, rendering it prone to geological hazards such as landslides and collapses, which pose significant threats to local infrastructure and safety. This study evaluated the urease activity of soybean and sword bean at different temperatures to screen the optimal enzyme source for enzyme-induced carbonate precipitation (EICP). Methods including single EICP, EICP combined with nano-SiO₂, and EICP combined with both nano-SiO₂ and soil stabilizer (SS) were adopted to enhance the surface strength of loess. The results showed that the EICP technique significantly improved the surface strength of loess, especially with the addition of nano-SiO₂ and soil stabilizer. This study confirmed that using sword bean urease treated at −20 °C for 24 h in combination with 1.5% nano-SiO₂ was both cost-effective and efficient in reinforcement. The incorporation of 5% soil stabilizer further enhanced the surface strength, and the accuracy was further verified by combining the results of SEM and XRD. Future research will focus on optimizing the material ratio to maximize the improvement of surface strength, providing an economical and feasible solution for rapid loess solidification, and evaluating the long-term durability under cyclic wet and dry conditions. Full article

(This article belongs to the Section Building Materials, and Repair & Renovation)

29 pages, 9358 KiB

Open AccessArticle

Research on an Intelligent Prediction Method for the Carbon Emissions of Prefabricated Buildings During the Construction Stage, Based on Modular Quantification

by Yang Yang, Xiaodong Cai, Xinlong Ma, Gang Yao, Ting Lei, Hongbo Tan and Ying Wang

Buildings 2025, 15(12), 1997; https://doi.org/10.3390/buildings15121997 - 10 Jun 2025

Abstract

Prefabricated buildings are widely utilized due to their effectiveness in reducing carbon emissions. The construction stage has a significantly higher carbon emission rate than the other stages of their life cycle, but this is difficult to accurately quantify and predict due to the [...] Read more.

Prefabricated buildings are widely utilized due to their effectiveness in reducing carbon emissions. The construction stage has a significantly higher carbon emission rate than the other stages of their life cycle, but this is difficult to accurately quantify and predict due to the high variability. This study clarifies the system boundary of carbon emissions and the parameters of influence in carbon emissions predictions. The carbon emission quantification model was improved by using the process analysis method and the carbon emission factor method, and a modular calculation formula was proposed. Based on the machine learning algorithm, a carbon emissions prediction model for prefabricated buildings’ construction stage was established and hyperparameter optimization was conducted. A sample database for predicting prefabricated buildings’ carbon emissions during the construction stage was established using a modular quantification method, and the thin plate spline interpolation algorithm was introduced to expand this. The prediction results of carbon emission prediction models using four algorithms, SVR, BPNN, ELM, and RF, were compared and analyzed by RMSE and R². The results show that the model based on BPNN has the highest prediction accuracy when determining the carbon emissions of prefabricated building during the construction stage, and this method can provide a more accurate reference for subsequent quantitative research on carbon emissions from prefabricated buildings. Full article

(This article belongs to the Special Issue Innovation and Technology in Sustainable Construction)

21 pages, 2232 KiB

Open AccessArticle

Learning-Enhanced Differential Evolution for Multi-Mode Resource-Constrained Multi-Project Scheduling Problem in Industrial Prefabrication

by Zijie Xing, Chen Chen and Robert Lee Kong Tiong

Buildings 2025, 15(12), 1996; https://doi.org/10.3390/buildings15121996 - 10 Jun 2025

Abstract

Efficient scheduling in industrial prefabrication environments—such as Prefabricated Bathroom Unit (PBU) production—faces increasing challenges due to resource limitations, overlapping projects, and complex task dependencies. To address these challenges, this paper presents a Learning-Enhanced Differential Evolution (LEDE) framework for solving the Multi-Mode Resource-Constrained Multi-Project [...] Read more.

Efficient scheduling in industrial prefabrication environments—such as Prefabricated Bathroom Unit (PBU) production—faces increasing challenges due to resource limitations, overlapping projects, and complex task dependencies. To address these challenges, this paper presents a Learning-Enhanced Differential Evolution (LEDE) framework for solving the Multi-Mode Resource-Constrained Multi-Project Scheduling Problem (MRCMPSP). The MRCMPSP models the operational difficulty of coordinating interdependent activities across multiple PBU projects under limited resource availability. To address the computational intractability of this NP-hard problem, we first formulate a mixed-integer linear programming (MILP) model, and then develop an adaptive DE-based metaheuristic. The proposed LEDE method co-evolves activity sequencing and mode assignment using floating-point encodings, incorporating strategy switching, parameter adaptation, elitism, stagnation handling, and rank-based crossover control. Evaluated on real-world production data from the PBU industry, the algorithm produces high-quality solutions with strong scalability. These results demonstrate its practical potential as a decision-support tool for dynamic, resource-constrained industrial scheduling. Full article

(This article belongs to the Section Construction Management, and Computers & Digitization)

30 pages, 8553 KiB

Open AccessArticle

Correlation Between the Insolation Shadow Ratio and Thermal Comfort of Urban Outdoor Spaces in Residential Areas in Xi’an

by Jie Song, Yu Liu, David Hou Chi Chow, Bo Liu and Seigen Cho

Buildings 2025, 15(12), 1995; https://doi.org/10.3390/buildings15121995 - 10 Jun 2025

Abstract

Solar exposure and shading critically influence outdoor thermal comfort in residential areas, yet quantitative links between spatial morphology and microclimate remain insufficiently explored in cold-region cities. This study proposes a novel morphological indicator, the Insolation Shadow Ratio (ISR), to quantify sunlight–shade dynamics and [...] Read more.

Solar exposure and shading critically influence outdoor thermal comfort in residential areas, yet quantitative links between spatial morphology and microclimate remain insufficiently explored in cold-region cities. This study proposes a novel morphological indicator, the Insolation Shadow Ratio (ISR), to quantify sunlight–shade dynamics and investigates its correlation with outdoor thermal comfort (UTCI) in Xi’an, China. Combining field observations, microclimate simulations, and statistical analysis, we quantified ISR and UTCI across three representative outdoor spaces in a residential area. Photographic analysis and spatial parameterization were employed to calculate hourly ISR values. Significant correlations were observed between ISR and UTCI values. The measured data showed the strongest correlation at summer solstice at site C (Spearman’s r = 0.883, p < 0.01). GAM analysis of seasonal peak correlation data revealed that an optimal UTCI comfort range of 9 °C to 26 °C, corresponding to ISR thresholds of 0.0202–0.8384, achieved the highest autumn correlation at site C (r = 0.686, p < 0.01), while effectively balancing shade cooling effects and solar accessibility. The ISR framework provides a quantifiable tool for designers to optimize outdoor thermal environments and, when enhanced by parametric modeling tools, enables them to proactively optimize thermal performance during early-stage residential planning, offering a data-driven pathway for climate-resilient outdoor space design. Full article

(This article belongs to the Special Issue Buildings' Thermal Performance and Energy Efficiency for a Sustainable Construction)

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26 pages, 5484 KiB

Open AccessArticle

Enhancing Readability in Construction Safety Reports Using a Two-Step Quantitative Analysis Approach

by Jihyun Oh, Jaewook Jeong, Jaemin Jeong, Louis Kumi, Hyeongjun Mun, Hyugsoo Kwon and Hoyoung Kim

Buildings 2025, 15(12), 1994; https://doi.org/10.3390/buildings15121994 - 10 Jun 2025

Abstract

This study addresses the limitations of South Korea’s Design for Safety (DfS) reports, which are a critical component of construction safety reports (CSRs) but rely heavily on text, limiting readability and visual comprehension. While previous studies have highlighted the readability challenges in construction [...] Read more.

This study addresses the limitations of South Korea’s Design for Safety (DfS) reports, which are a critical component of construction safety reports (CSRs) but rely heavily on text, limiting readability and visual comprehension. While previous studies have highlighted the readability challenges in construction safety documents, few have quantitatively combined layout and readability assessments using objective metrics. To enhance information delivery, this research proposes an improved CSR format and quantitatively evaluates its effectiveness compared to the conventional format. A two-step analysis was conducted using document layout analysis, pixel-based methods, and the Flesch Reading Ease Score (FRES) to assess layout and readability. The results showed that conventional CSRs consist of nearly 100% text, while the improved format integrates approximately 70% images and 30% text, enhancing visual clarity without altering content. The improved format achieved a higher average FRES score of 50.24 compared to 44.52 for the conventional format, indicating a 1.12-fold increase in readability. These findings suggest that the improved CSR format significantly enhances comprehension and information delivery. The proposed quantitative analysis method offers a practical approach for evaluating and improving document design in construction safety, and it can be applied to other fields to improve the effectiveness of written communication. Full article

(This article belongs to the Special Issue Smart and Proactive Construction Safety Combined with AI, IoT, and Big Data)

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27 pages, 1256 KiB

Open AccessArticle

Energy Efficiency Optimization Model for Sustainable Campus Buildings and Transportation

by Atabek Movlyanov and Saltuk Buğra Selçuklu

Buildings 2025, 15(12), 1993; https://doi.org/10.3390/buildings15121993 - 10 Jun 2025

Abstract

University campuses face significant challenges in balancing energy efficiency, renewable energy adoption, and sustainable transportation while meeting budgetary constraints and sustainability goals. While existing optimization approaches typically address these as separate problems, this study presents an innovative multi-objective optimization framework that integrates building [...] Read more.

University campuses face significant challenges in balancing energy efficiency, renewable energy adoption, and sustainable transportation while meeting budgetary constraints and sustainability goals. While existing optimization approaches typically address these as separate problems, this study presents an innovative multi-objective optimization framework that integrates building efficiency, renewable energy, electric vehicle charging, and sustainability scoring criteria into a unified model. The approach formulates a mixed-integer non-linear programming model with three competing objectives: minimizing primary energy consumption, minimizing investment cost, and maximizing sustainability metrics, addressing the critical need for comprehensive campus energy management tools. The optimization model was applied to the R&D Park Building of Erciyes University, utilizing actual building parameters, time-variable electricity pricing, and commercially available renewable energy technologies. Our analysis of the Pareto-optimal solutions reveals distinct trade-offs between the objectives, with primary energy consumption ranging from 1,317,860 to 4,642,770 GJ/year, investment costs between $25,735 and $485,674, and sustainability scores between 366 and 1034. Most significant for practical implementation is the balanced performance solution ($127,064), which achieves minimum energy consumption (1,367,010 GJ/year) while securing a substantial sustainability score of 538 points. The results demonstrate that while inherent trade-offs exist between competing objectives, significant sustainability improvements are achievable at intermediate investment levels, making meaningful environmental progress accessible to a broad spectrum of higher education institutions. This comprehensive optimization framework provides campus administrators with a practical decision-support tool for aligning energy systems with institutional priorities, budgetary constraints, and sustainability commitments. Full article

(This article belongs to the Section Building Energy, Physics, Environment, and Systems)

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34 pages, 3386 KiB

Open AccessArticle

A Simulation-Based Study of Classroom IAQ and Thermal Comfort Performance Across New Zealand’s Six Climate Zones: The Avalon Typology

by Vineet Kumar Arya, Eziaku Onyeizu Rasheed and Don Amila Sajeevan Samarasinghe

Buildings 2025, 15(12), 1992; https://doi.org/10.3390/buildings15121992 - 10 Jun 2025

Abstract

Indoor environmental quality profoundly impacts student learning outcomes and teacher effectiveness, particularly in primary education, where children spend most of their developmental years. The study compares the New Zealand Ministry of Education’s Designing Quality Learning Spaces (DQLS) version 2.0 for primary school classrooms [...] Read more.

Indoor environmental quality profoundly impacts student learning outcomes and teacher effectiveness, particularly in primary education, where children spend most of their developmental years. The study compares the New Zealand Ministry of Education’s Designing Quality Learning Spaces (DQLS) version 2.0 for primary school classrooms with international standards set by OECD countries to develop IAQ and thermal comfort best practices in New Zealand across six climate zones. The research evaluates indoor air quality (IAQ) and thermal comfort factors affecting students’ and teachers’ health and performance. Using Ladybug and Honeybee plugin tools in Grasshopper with Energy Plus, integrated into Rhino 7 software, the study employed advanced building optimisation methods, using multi-criteria optimisation and parametric modelling. This approach enabled a comprehensive analysis of building envelope parameters for historical classroom designs, the Avalon block (constructed between 1955 and 2000). Optimise window-to-wall ratios, ceiling heights, window placement, insulation values (R-values), clothing insulation (Clo), and window opening schedules. Our findings demonstrate that strategic modifications to the building envelope can significantly improve occupant comfort and energy performance. Specifically, increasing ceiling height by 0.8 m, raising windows by 0.3 m vertically, and reducing the window-to-wall ratio to 25% created optimal conditions across multiple performance criteria. These targeted adjustments improved adaptive thermal comfort, ventilation, carbon dioxide, and energy efficiency while maintaining local and international standards. The implications of the findings extend beyond the studied classrooms, offering evidence-based strategies for overall design and building performance guidelines in educational facilities. This research demonstrates the efficacy of applying computational design optimisation during early design phases, providing policymakers and architects with practical solutions that could inform future revisions of New Zealand’s school design standards and align them more closely with international best practices for educational environments. Full article

(This article belongs to the Special Issue Advances in Green Building Systems)

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19 pages, 2523 KiB

Open AccessArticle

Settlement Behavior Analysis of Adjacent Existing Buildings Induced by Foundation Pit Construction in River Basin

by Yanlu Zhao, Mingrui Cao, Zhigang Guo, Lifeng Zhang and Erdi Abi

Buildings 2025, 15(12), 1991; https://doi.org/10.3390/buildings15121991 - 10 Jun 2025

Abstract

The Yellow River Basin features a unique geographical environment with challenges like seawater erosion and soft soil. In this context, the construction of foundation pits can significantly impact the settlement of adjacent structures. Grounded in a real-world project, this study employs the finite [...] Read more.

The Yellow River Basin features a unique geographical environment with challenges like seawater erosion and soft soil. In this context, the construction of foundation pits can significantly impact the settlement of adjacent structures. Grounded in a real-world project, this study employs the finite element software Midas GTS to construct a 3D interaction model between foundation pit excavation and nearby buildings. Through this model, we analyze the settlement patterns of adjacent buildings influenced by variables such as foundation soil strength, slope gradient, and construction sequence. By integrating orthogonal experimental design and range analysis, we identify the sensitive factors affecting the settlement deformation and stability of foundation pits. Our analysis reveals that among the factors significantly influencing settlement deformation at the foundation pit base, groundwater levels and internal friction angles are the most critical. Slope gradient and soil cohesion also play substantial roles, whereas the compressive modulus of soil shows relatively less impact. However, a comparison with actual engineering data indicates that groundwater factors considerably affect slope deformation, underscoring the necessity for stringent control of groundwater level fluctuations. Full article

(This article belongs to the Section Building Structures)

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26 pages, 7731 KiB

Open AccessArticle

Semantic HBIM for Heritage Conservation: A Methodology for Mapping Deterioration and Structural Deformation in Historic Envelopes

by Enrique Nieto-Julián, María Dolores Robador, Juan Moyano and Silvana Bruno

Buildings 2025, 15(12), 1990; https://doi.org/10.3390/buildings15121990 (registering DOI) - 10 Jun 2025

Abstract

The conservation and intervention of heritage structures require a flexible, interdisciplinary environment capable of managing data throughout the building’s life cycle. Historic building information modeling (HBIM) has emerged as an effective tool for supporting these processes. Originally conceived for parametric construction modeling, BIM [...] Read more.

The conservation and intervention of heritage structures require a flexible, interdisciplinary environment capable of managing data throughout the building’s life cycle. Historic building information modeling (HBIM) has emerged as an effective tool for supporting these processes. Originally conceived for parametric construction modeling, BIM can also integrate historical transformations, aiding in maintenance and preservation. Historic buildings often feature complex geometries and visible material traces of time, requiring detailed analysis. This research proposes a methodology for documenting and assessing the envelope of historic buildings by locating, classifying, and recording transformations, deterioration, and structural deformations. The approach is based on semantic segmentation and classification using data from terrestrial laser scanning (TLS) and unmanned aerial vehicles (UAVs), applied to the Palace of Miguel de Mañara—an iconic 17th-century building in Seville. Archival images were integrated into the HBIM model to identify previous restoration interventions and assess current deterioration. The methodology included geometric characterization, material mapping, semantic segmentation, diagnostic input, and temporal analysis. The results validated a process for detecting pathological cracks in masonry facades, providing a collaborative HBIM framework enriched with expert-validated data to support repair decisions and guide conservation efforts. Full article

(This article belongs to the Special Issue Application of Digital Technology in the Preservation and Restoration of Historic Buildings)

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19 pages, 2789 KiB

Open AccessArticle

The Effect of Low-Carbon Technology on Carbon Emissions Reduction in the Building Sector: A Case Study of Xi’an, China

by Dongyi Zhang, Lu Sun, Yifan Zhang, Tianye Liu, Lu Gao, Fufu Wang, Xinting Qiao, Yuqi Liu, Jian Zuo and Yupeng Wang

Buildings 2025, 15(12), 1989; https://doi.org/10.3390/buildings15121989 (registering DOI) - 10 Jun 2025

Abstract

Efficient carbon reduction pathways in the building sector are critical for urban decarbonization. This study predicts urban carbon emissions and establishes models to evaluate the carbon emission reduction potential of applying building low-carbon technologies (LCTs) at the urban scale. The models under consideration [...] Read more.

Efficient carbon reduction pathways in the building sector are critical for urban decarbonization. This study predicts urban carbon emissions and establishes models to evaluate the carbon emission reduction potential of applying building low-carbon technologies (LCTs) at the urban scale. The models under consideration encompass a spectrum of active strategies, specifically heat pump (HP), rooftop photovoltaic (PV) systems, and smart heating, ventilation, and air conditioning (HVAC) systems, alongside passive strategies encompassing advanced building materials and building envelopes. The predictive calculations consider building typologies, technological evolution, adoption rates, and local policy constraints. Results indicate that by 2030, the building sector in Xi’an will account for over 30% of the city’s total carbon emissions. The integrated emission reduction effect of LCTs reaches 25.8%, with building materials contributing the most significantly at 9%. Notably, rooftop PV systems demonstrate the highest carbon reduction potential among active strategies, while HP exhibits the fastest annual growth rate in mitigation. Furthermore, the study evaluates the feasibility of these LCTs to accelerate progress toward carbon reduction goals in the building sector. Full article

(This article belongs to the Special Issue Buildings' Thermal Performance and Energy Efficiency for a Sustainable Construction)

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25 pages, 3266 KiB

Open AccessReview

State of the Art Review on Hempcrete as a Sustainable Substitute for Traditional Construction Materials for Home Building

by Wei Tong and Ali M. Memari

Buildings 2025, 15(12), 1988; https://doi.org/10.3390/buildings15121988 (registering DOI) - 9 Jun 2025

Abstract

Currently, the construction industry relies mainly on non-environmentally sustainable materials such as fired clay brick, concrete, and steel, which significantly contribute to global carbon dioxide generation, leading to environmental degradation. In response to mounting environmental concerns, there is a growing emphasis on developing [...] Read more.

Currently, the construction industry relies mainly on non-environmentally sustainable materials such as fired clay brick, concrete, and steel, which significantly contribute to global carbon dioxide generation, leading to environmental degradation. In response to mounting environmental concerns, there is a growing emphasis on developing and utilizing low-impact materials that mitigate the ecological footprint of construction activities. This review offers a detailed overview of current formulations and applications of hempcrete and compares the performance of different types of hempcrete as construction materials. Additionally, this paper seeks to evaluate the potential of hempcrete as a sustainable substitute for traditional construction materials with high energy demands and significant CO₂ emissions based on life cycle assessment (LCA). Furthermore, this study summarizes current challenges and prospects for composite innovations in hempcrete, emphasizing the need for standardized product control and broader industrial acceptance, thus providing useful insights for practitioners and researchers in the field. Full article

(This article belongs to the Collection Advances in Enhancing Properties of Concrete, Mortar, Gypsum, and Plaster Materials)

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20 pages, 8463 KiB

Open AccessArticle

Changes in Material Properties and Damage Mechanism of Plate Ballastless Track Under Fire and High Temperature

by Hao Jin, Yike Yang, Xinxin Zhao, Yongjian Pan, Jinhui Chu, Shuming Li, Shenglin Xu and Yulin Feng

Buildings 2025, 15(12), 1987; https://doi.org/10.3390/buildings15121987 (registering DOI) - 9 Jun 2025

Abstract

The service status of rail, fasteners and track slabs is the key determinant of whether the ballastless track is ready for traffic after a fire. The track slab rail support bolt anchoring performance and the shoulder service performance damaged by fire were tested. [...] Read more.

The service status of rail, fasteners and track slabs is the key determinant of whether the ballastless track is ready for traffic after a fire. The track slab rail support bolt anchoring performance and the shoulder service performance damaged by fire were tested. Experiments of ballastless track slab concrete burned at different high temperatures were carried out to compare macro- and microstructural properties of the concrete under high-temperature burning to study the microstructure of hydration products after high-temperature burning and reveal the damage mechanism of the track slab concrete after a fire. The results show that the fire damage to the rail and fastener is mainly deformations, fractures and strength reduction. The degree of the fire damage of the mortar layer and base slab is much lower than that of the track slab. The main fire damage to the concrete is track and base slab cracks, spalling and gaps. The degree of the fire damage to the mortar layer and base slab is much lower than that of the track slab. The fire damage of the track slab concrete is mainly bursts, and the concrete cracks, spalling and deterioration occur layer by layer from the outside to inside. The shoulder injury is the most serious, the shear resistance is greatly reduced, the rail support is protected by the rail and fastener, the impact of the fire damage is small and the bolt anchoring performance was not decreased. The position of the track slab’s inside damage corresponds to the surface damage position. The steel bar inside the track slab is in good condition, and there is no obvious damage. The bulk expansion of the ballastless track concrete was caused by the expansion of aggregates under fire. When the expansion of aggregates is constrained by the shrinkage of hydration products, greater internal stress is generated, which is the main reason for the cracking or bursting of the ballastless track slab concrete under high temperatures. Full article

(This article belongs to the Section Building Materials, and Repair & Renovation)

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22 pages, 1262 KiB

Open AccessArticle

Research on Living Conservation Strategies for the Ming-Guangwu Great Wall Based on the Grey Relational Analysis Model

by Weicheng Han, Zele Mo and Wei Wang

Buildings 2025, 15(12), 1986; https://doi.org/10.3390/buildings15121986 - 9 Jun 2025

Abstract

The Great Wall of China is a cultural monument of profound historical significance and a testament to the evolution of various historical periods. As a living heritage, it holds exceptional value. However, due to inadequate protection measures in recent years, numerous sections of [...] Read more.

The Great Wall of China is a cultural monument of profound historical significance and a testament to the evolution of various historical periods. As a living heritage, it holds exceptional value. However, due to inadequate protection measures in recent years, numerous sections of the Great Wall have been subject to continuous degradation. While damage to its main structural components and explicit heritage elements has been widely acknowledged, the more critical issue lies in the ambiguous recognition and insufficient safeguarding of its implicit heritage elements. This study explores the composition and classification of protective elements associated with the Great Wall, proposing a framework that emphasizes the dual safeguarding of both its tangible structures and intangible cultural significance. Employing big data collection through search engine optimization (SEO) techniques and questionnaire surveys, this research analyzes recent trends in the prioritization of heritage conservation efforts related to the Great Wall. Furthermore, by constructing a mathematical model based on the “grey relational analysis” method, the study classifies and stratifies various heritage elements to highlight the Wall’s core values and propose targeted protection strategies. The findings reveal that (1) certain regions possess considerable development potential and can be restored and planned as cultural tourism destinations; (2) conservation efforts should prioritize material restoration while preserving the intrinsic spiritual and cultural values; (3) a living heritage transmission strategy should underpin the overall protection framework. Ultimately, the study establishes a classification and grading system for conservation elements centered on the sustainable development of the Great Wall heritage. By concretely mapping the concept of living heritage protection onto the various protective elements of the Great Wall, this research offers valuable insights and recommendations for enhancing conservation practices. Full article

(This article belongs to the Section Architectural Design, Urban Science, and Real Estate)

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18 pages, 1849 KiB

Open AccessArticle

A Cloud Model-Based Evaluation of Renovation Decisions for Old Urban Communities from the Perspective of Resilience—A Case Study of a Community in Nanjing, China

by Xisheng Li, Xiang Zhang and Jiaying Zhang

Buildings 2025, 15(12), 1985; https://doi.org/10.3390/buildings15121985 - 9 Jun 2025

Abstract

The renovation of old communities is a major measure taken to promote urban development and transformation and can improve the quality of urban space and the living environment of residents, as well as promote economic development and bring new economic growth to the [...] Read more.

The renovation of old communities is a major measure taken to promote urban development and transformation and can improve the quality of urban space and the living environment of residents, as well as promote economic development and bring new economic growth to the city. Decision-making regarding the updating of old communities is the starting point of the whole renovation process, and can be classified into two aspects: resilience assessment and renewal-potential evaluation. In order to standardize the retrofit evaluation index system, enhance the guidance of renovation decision plans for community renewal practices, and consider the randomness of evaluation indicators and the visualization of evaluation results, this paper proposes a method for evaluating the potential of old-urban-community renovation from the perspective of resilience. Based on an analysis of the relationship of the PSR (pressure–state–response) model and community resilience, as well as literature statistics, an evaluation index for the potential of old-community renovation according to the PSR model is established. Furthermore, vague set theory is applied to reduce the initial evaluation index system; then, entropy weight and the g1 method are used to determine objective and subjective weights, respectively, before determining the combination weight value. And the cloud model comprehensive evaluation method is applied to determine the membership degrees of resilience levels for the indicator, sub-criteria, criteria, and target layer in sequence. Finally, taking Nanjing Yinlun Garden Community as an example, the proposed method is adopted to identify the community’s resilience and renovation priorities, verifying the applicability of the method. Full article

(This article belongs to the Section Architectural Design, Urban Science, and Real Estate)

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