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Digital-Volume-Correlation-Assisted Crack Extraction using X-ray Computed Tomography Images of Cementitious Materials Cement Concrete Comp. (IF 10.8) Pub Date : 2025-02-07 Shuxian Hong, Zhongbo Yuan, Disheng Pan, Chuan Kuang, Biqin Dong, Shengxin Fan
The image segmentation results for microcrack detection suffer from poor continuity and integrity due to noise, grayscale inhomogeneity, and the very small size of microcrack voxels. Strain information is introduced to aid crack recognition and reduce the impact of image accuracy on crack detection. A new crack detection method is proposed that combines image processing and digital volume correlation
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Optimization and performance regulation of pipe piles based on nano-calcium silicate hydrated (n-C-S-H) Cement Concrete Comp. (IF 10.8) Pub Date : 2025-02-07 Xiaofeng Han, Penggang Wang, Zijun Ling, Rihong Zhang, Zhenxing Du, Mengzhuo Sun, Xiaomeng Sui, Dongxuan Wei
Prestressed high-strength concrete (PHC) pipe piles are widely used in various construction projects. However, higher steam curing temperatures and times in the preparation of pipe piles severely affect material performance, while increasing cost and environmental pollution. This study investigates the use of nanoscale calcium-silicate-hydrate (n-C-S-H) to reduce curing temperature and time, ensuring
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New insights into the retardation mechanism of phosphorus slag on the early cement hydration Cement Concrete Comp. (IF 10.8) Pub Date : 2025-02-07 Shiyu Zhuang, Qiang Wang, Yichen Shan, Ruiquan Jia, Zihan Zhou
Phosphorus slag (PS) is widely reported to retard the cement hydration due to the existence of phosphorus and fluorine in it. However, the key role and its corresponding mechanism have not been fully reported. In this study, the effects of PS on the early cement hydration were investigated from the insights of solid phases, aqueous species and microstructures evolution. Results show that PS remarkably
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Tensile behavior simulation of ECC/SHCC at subzero temperatures based on a fiber/interface combination constitutive model Cement Concrete Comp. (IF 10.8) Pub Date : 2025-02-06 Yanlin Huo, Xiaoyu Han, Chunran Wu, Dong Lu, Huayang Sun, Zhitao Chen, Yingzi Yang, Victor C. Li
The performance degradation of Engineered Cementitious Composites/ Strain-hardening cementitious composites (ECC/SHCC) at subzero temperatures is becoming a widespread concern. However, experimental testing and data acquisition in cold environments are very difficult and demanding. It is an inevitable trend to use numerical simulation for research. In this paper, a finite element model based on a fiber/interface
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X-ray computed tomography-based characterisation of graphene nanoplatelets re-agglomeration in hardened cement composites Cement Concrete Comp. (IF 10.8) Pub Date : 2025-02-05 Zhaohua Wang, Meini Su, Yong Wang, Cise Unluer, Suning Li
Graphene Nanoplatelets (GNPs) have been found to be an effective additive for enhancing the mechanical strength of cementitious materials, attributed to the role they play as nucleation sites. However, there is not a direct correlation on the enhancing effect of graphene with increasing graphene dosage, resulting in different optimal dosages for different binders and mix designs. This study aims to
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New insight into the effects of silane-modified silica fume on the performance of cement pastes Cem. Concr. Res. (IF 10.9) Pub Date : 2025-02-06 Yanrong Zhang, Xuesong Zhang, Zichen Lu, Kai Wu, Xiaopei Cai
Hydrophobic-modified silica fume (HSF) with superior dispersion was synthesized by coating silane onto SF surface. Its influence on cement hydration, microstructure and properties of cement pastes was investigated. Results indicated that the silane on SF surface visibly depressed pozzolanic reaction at early ages. HSF retarded cement hydration by adsorbing on cement surface and more importantly, by
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Development of 3D-printable alkali-activated GGBFS and fly ash binder-based mortars with concrete demolition waste as aggregates Cement Concrete Comp. (IF 10.8) Pub Date : 2025-02-06 M. Gurunandan, Aparna Sai Surya Sree Nedunuri, Jayant Tanwar, Prakash Nanthagopalan, Salman Muhammad
3D-printable alkali-activated mortar mixtures using concrete demolition waste (CDW) as aggregates, which are pumpable, extrudable, buildable up to 1000 mm with an open time of 180 minutes were developed in this study. The mixtures provided a minimum compressive strength of 50 MPa at 28 days age. The effect of various parameters such as binder composition, water-to-binder ratio, molar modulus and activator
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Automated corrosion surface quantification in steel transmission towers using UAV photogrammetry and deep convolutional neural networks Comput. Aided Civ. Infrastruct. Eng. (IF 8.5) Pub Date : 2025-02-05 Pierclaudio Savino, Fabio Graglia, Gabriele Scozza, Vincenzo Di Pietra
Corrosion in steel transmission towers poses a challenge to structural integrity and safety, requiring efficient detection methods. Traditional visual inspections are unsustainable due to the complexity and volume of structures. Their manual, qualitative, and subjective nature often leads to inconsistencies in maintenance planning. This study proposes a deep learning‐based approach for semantic segmentation
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Issue Information Comput. Aided Civ. Infrastruct. Eng. (IF 8.5) Pub Date : 2025-02-05
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Innovative ZIF-8 Modified ER@EC Microcapsules: Enhancing Slow-Release and Longevity for Superior Self-Healing in Cementitious Materials Cement Concrete Comp. (IF 10.8) Pub Date : 2025-02-04 Shiyu Zhang, Zijian Song, Haoliang Zhang, Zilang Huang, Hui Rong, Linhua Jiang, Yunsheng Zhang
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A novel electromigration-based microbial self-healing strategy for existing concrete structures Cement Concrete Comp. (IF 10.8) Pub Date : 2025-02-04 Zhenxiao Bi, Jing Xu, Hao Sun, Qing Chen, Hehua Zhu
The prevailing self-healing of concrete cracks based on microbial-induced carbonate precipitation (MICP) has been limited to new structures since healing agents have to be pre-embedded during fresh mixing stage. In this study, a novel microbial self-healing strategy based on electromigration of bacterial spores is proposed for existing concrete. To this end, the feasibility of this new method is first
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Heating-induced transformations in calcium silicate hydrate (C-S-H): In-situ investigations of composition, structure, and morphology Cem. Concr. Res. (IF 10.9) Pub Date : 2025-02-04 Yuefeng Ma, Ming Jin, Fei Wang, Diederik Jacques, Xuyan Shen, Jian Zhang, Chang Gao, Haoyu Zeng, Jingwen Liu, Jiaping Liu
Transformation of C-S-H is crucial in the deterioration of concrete at high temperatures. This study investigates the composition, structure, and morphology of C-S-H from 30 °C to 1000 °C using in-situ heating XRD, TGA/TG-IR, in-situ heating XPS, and in-situ heating TEM combined with image recognition. The results reveal that during heating, C-S-H undergoes weakly and strongly bound water loss, dehydroxylation
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The expressway network design problem for multiple urban subregions based on the macroscopic fundamental diagram Comput. Aided Civ. Infrastruct. Eng. (IF 8.5) Pub Date : 2025-02-04 Yunran Di, Weihua Zhang, Haotian Shi, Heng Ding, Jinbiao Huo, Bin Ran
With the advancement of urbanization, cities are constructing expressways to meet complex travel demands. However, traditional link‐based road network design methods face challenges in addressing large‐scale expressway network design problems. This study proposes an expressway network design method tailored for multi‐subregion road networks. The method employs the macroscopic fundamental diagram to
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Numerical investigation of mechanisms affecting alkali-silica reaction advancement by reactive transport simulations Cem. Concr. Res. (IF 10.9) Pub Date : 2025-02-03 Lucie Gomez, Frédéric Perales, Stéphane Multon, Adrien Socié, Benoit Fournier, Matthieu Argouges
Alkali-Silica Reaction (ASR) is a long-term chemical degradation induced in concrete by the difference in pH between the aggregate and the cement paste. ASR advancement is thus driven by the combination of the ionic species diffusion and the dissolution of reactive silica. In this paper, the reactive transport model is based on the principal sequence of the ASR-mechanisms: hydroxide, alkali and calcium
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Numerical modeling of unidirectional sulfate attack on tunnel lining concrete considering water evaporation at free face Cem. Concr. Res. (IF 10.9) Pub Date : 2025-02-03 Zirui Fan, Dujian Zou, Ming Zhang, Shanshan Qin, Tiejun Liu
Severe scaling and spalling are commonly observed on tunnel lining surfaces in sulfate-rich environments. Due to humidity gradients, sulfate solution in rock fissures migrates through capillary action to the concrete exposed face, leading to physical crystallization precipitation at free-face zone and chemical sulfate attack at soil-facing zone, resulting in concrete expansion and crack. Existing models
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New insight into self-antifoaming effect of entrained CO2 bubbles in fresh cement paste Cem. Concr. Res. (IF 10.9) Pub Date : 2025-02-03 Suhui Zhang, Min Liu, Keren Zheng, Lou Chen, Caijun Shi, Qiang Yuan
A new insight into self-antifoaming effect of CO2 bubble was proposed by exploring the evolution of entrained CO2 bubbles in fresh cement paste. The disappearance process of CO2 bubbles was observed, resulting in the reduction of air content. The evolution of CO2 bubbles eventually formed two kinds of pore structures: hollow spherical shell structure (HSS) and interior filled spherical shell structure
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Prediction of microbial-induced calcium carbonate precipitation for self-healing cementitious material Cement Concrete Comp. (IF 10.8) Pub Date : 2025-02-03 Hsiao Wei Lee, Seyed Ali Rahmaninezhad, Li Meng, Wil V. Srubar III, Christopher M. Sales, Yaghoob (Amir) Farnam, Mija H. Hubler, Ahmad R. Najafi
Microbial-induced calcium carbonate precipitation (MICCP) is a biomineralization process utilizing microbial metabolic activities to precipitate calcium carbonate (CaCO3). In recent years, there has been increasing interest in the application of MICCP in self-healing cementitious materials. In this research, the chemical and enzyme kinetics of MICCP were numerically modeled, focusing on the ureolytic
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Incorporation of boron into metakaolin-based geopolymers for radionuclide immobilisation and neutron capture potential Cem. Concr. Res. (IF 10.9) Pub Date : 2025-02-01 Xiaobo Niu, Yogarajah Elakneswaran, Ang Li, Sivasubramaniam Seralathan, Ryosuke Kikuchi, Yoshihisa Hiraki, Junya Sato, Takeshi Osugi, Brant Walkley
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New insights into the surface coverage dependences of rheological properties of cement paste: Measurement and scaling analysis Cem. Concr. Res. (IF 10.9) Pub Date : 2025-02-01 Xiaohan Yu, Le Teng, Xin Shu, Xin Liu, Xiaoxian Wang, Jiang Zhu, Jiaping Liu
Recent findings indicate that the effect of superplasticizers on decreasing the yield stress of cementitious suspensions is attributed to the modification of percolation threshold in addition to interparticle force. These dual effects complicate the assessment of yield stress dependence on the superplasticizer type and dosage, as yield stress can no longer be expressed as a separable function of interparticle
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Corrigendum to “A Multi-factor model for predicting cement setting time” [J. Build. Eng. (98) (2024), 1–22/110991] J. Build. Eng. (IF 6.7) Pub Date : 2025-02-01 Weijian Zhao, Tao Zheng, Qiliang Zhao, Bochao Sun
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Underlying mechanisms of the effect of microfines of manufactured sand on non-linear structural build-up of cement paste Cem. Concr. Res. (IF 10.9) Pub Date : 2025-01-31 Jiang Zhu, Jiaping Liu, Kamal H. Khayat, Xin Cheng, Wei Zhao, Zhen Li, Xin Shu, Yongbo Huang
The rheological properties of cement-based materials made with manufactured sand vary with the content and physio-chemical properties of microfines in the sand. However, the evaluation of rheological properties regarding the structural build-up at early-age hydration remains challenging for the cementitious materials prepared with different manufactured sands, due to complicated underlying structuration
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Insights into autogenous shrinkage of alkali-activated slag under elevated curing temperature Cem. Concr. Res. (IF 10.9) Pub Date : 2025-01-31 Weiwei Chen, Xinyan Liu, Xinyu Shen, Shu Liu, Hedong Li, Bo Li
This paper investigates the autogenous shrinkage of alkali-activated slag (AAS) under thermal curing using a tailored corrugated tube system. The results reveal that thermal curing decreases the total deformation of AAS mortar due to thermal expansion while increasing autogenous shrinkage. This enhanced autogenous shrinkage results from the interaction of multiple factors, with the dominant influences
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Relation between pore structure uniformity and compressive strength of iron tailings mortar Cement Concrete Comp. (IF 10.8) Pub Date : 2025-01-31 Yi Li, Mengxuan Yu, Wei Li, Xin Bian
Pore structure uniformity is one of the key factors affecting the compressive strength of mortar. This study proposed two new methods to characterize the uniformity of pore distribution and established their relationship with compressive strength. Compressive and pore structure tests were carried out on ordinary mortar, iron tailings mortar, and iron tailings mortar containing basalt fibers and polyacrylate
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Effects and mechanisms of the hybrid-modified SAP with calcium sulfate dihydrate on the properties of UHPC Cement Concrete Comp. (IF 10.8) Pub Date : 2025-01-31 Deyu Kong, Zhentao Han, Zhiyang Chen, Chenxu Ni, Haotian Wu, Yaqian Liang, Kui He, Jintao Liu
In the synthesis process of superabsorbent polymer (SAP), calcium sulfate dihydrate (C$H2) dispersion in water or colloidal silica sol (CSS) was used for the modification of SAP. The effects of modification on water absorption of SAP in water or saturated calcium hydroxide (CH) solution and the impacts and mechanism of the modified SAP on the performance of UHPC were investigated. The results showed
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Tile detection using mask R-CNN in non-structural environment for robotic tiling Autom. Constr. (IF 9.6) Pub Date : 2025-01-31 Liang Lu, Ning Sun, Zhipeng Wang, Bin He
Robotic tiling is an efficient way to replace manual work, with tile detection and positioning serving as a pivotal technology. However, the tiling environment is characterized by its complexity. This paper introduces the instance segmentation method Mask R-CNN, which can detect tiles in non-structural environments after proper training. To address the difficulty of acquiring datasets and high annotation
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Building geometries and carbon emissions: A study on large space public buildings based on parametric modelling and machine learning J. Build. Eng. (IF 6.7) Pub Date : 2025-01-31 Wang Pan
Large public buildings often generate significant embodied carbon emissions (ECE) due to their long-span structures and operational carbon emissions (OCE) from the cooling/heating loads required to maintain their expansive interior spaces. This study evaluates the interrelationships of building geometries with structural mass (related to ECE) and annual cooling/heating energy demands (related to OCE)
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Research on typical occupant air-conditioning behavior of Changsha university dormitory buildings based on questionnaire surveys J. Build. Eng. (IF 6.7) Pub Date : 2025-01-31 Zhihang Zheng, Yipeng Jin, Jin Zhou, Ying Yang, Feng Xu, Hongcheng Liu
College dormitories, characterized by high occupancy and energy density, have huge potential for energy savings. However, most existing energy efficiency studies of college dormitories dealt with air conditioning (AC) use behavior on fixed schedules, ignoring the stochastic nature of occupants, resulting in gaps between the designed and actual energy consumption, and making the application of energy-saving
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Smart multiple attribute decision analysis framework for automatic fire damage level evaluation of concrete structures J. Build. Eng. (IF 6.7) Pub Date : 2025-01-31 Bin Sun, Tong Guo, Jiaxing Cheng, Wanjin Li
To achieve fire damage level evaluation of concrete structures under uncertainties, a smart multiple attribute decision analysis framework is proposed in this investigation by fusing evidential reasoning and particle swarm optimization. Based on the framework, multiple attributes can be aggregated together for fire damage level evaluation based on the chosen multi-source data directly. The framework
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A novel method of void detection in rebar-affected areas based on transfer learning and improved YOLOv8 Tunn. Undergr. Space Technol. (IF 6.7) Pub Date : 2025-01-31 Xiaohua Bao, Jiazhi Huang, Jun Shen, Xianlong Wu, Tao Wang, Xiangsheng Chen, Hongzhi Cui
The rebar mesh inside the tunnel lining introduces significant interference in detecting defects, reducing their visibility in GPR images. This study proposes a global-to-local secondary recognition method based on an improved YOLOv8 model to address this challenge. Two datasets—global and local GPR images—were used, with an attention mechanism integrated into the YOLOv8 architecture. The improved
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A modular automated modelling framework for cut-and-cover excavations in mixed ground conditions Tunn. Undergr. Space Technol. (IF 6.7) Pub Date : 2025-01-31 Yuxi Liu, Jian Zhao, Qian-Bing Zhang
In recent years, the growing demand for underground infrastructure has driven expansion into larger and deeper regions. The excavation of structures under mixed ground conditions combines the dual complex challenges of soil and rock layers, such as the interaction between the depth of soil and rock layers and the depth of structural excavation, and the problem of spatial asymmetric three-dimensional
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Optimizing building energy consumption through synchronization and asynchronization of occupancy and air-conditioning behavior Energy Build. (IF 6.6) Pub Date : 2025-01-31 Tao Li, Xiangyu Liu, Wenjie Zhou, Jiangqiaoyu Ma, Yang Li, Jiajia Gao, Min Chen, Qianjun Mao
With the intensification of the energy crisis and the severe impact of climate change, energy conservation and emission reduction in office buildings have become imperative. This study analyzes the relationship between occupancy, air conditioning usage, and tolerance temperatures in office buildings in Wuhan and proposes a control strategy that integrates multiple behavioral patterns. The research
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Combined impact of climate change and urban heat island on building energy use in three megacities in China Energy Build. (IF 6.6) Pub Date : 2025-01-31 Pengyuan Shen, Yuchen Ji, Yu Li, Meilin Wang, Xue Cui, Huan Tong
While global climate change (GCC) and urban heat island (UHI) effects have been extensively studied separately, their combined impact on urban microclimates remains poorly understood. This study introduces a novel lightweight simulation procedure that effectively integrates these two phenomena to assess their combined impact on urban microclimates in three representative Chinese megacities. By validating
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Determining the most efficient phase change materials configuration for enhancing the thermal and energy performance of concrete building envelopes in a tropical region Energy Build. (IF 6.6) Pub Date : 2025-01-31 Sheyna Sajhia Lotun, Mahendra Gooroochurn, Roddy Michel Lollchund
Retrofit techniques applying phase change materials (PCM) to existing building envelopes can passively decrease solar heat gains in indoor environments. To assess the application potential of PCM in building fabrics, two identical concrete test cells were constructed. Concrete represents the main construction materials used in Mauritian buildings. The SP25E2 PCM was selected for the experimental study
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Exploring energy consumption in energy-efficient, affordable housing in Southern California: Behavioral insights and financial implications Energy Build. (IF 6.6) Pub Date : 2025-01-31 Mirmahdi Seyedrezaei, Burçin Becerik-Gerber, Timothy J. Kohut
Through a combination of in-depth interviews with 22 residents and analysis of monthly utility bill cycles of 31 households, we explore energy use and energy burden within four energy-efficient, low-income properties in Southern California. Low-income households (LIHs) demonstrate a variety of energy-conscious behaviors, such as using fans for cooling, utilizing blankets for heating instead of heaters
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Effects of Al in C–A–S–H gel on the chloride binding capacity of blended cement paste Cem. Concr. Res. (IF 10.9) Pub Date : 2025-01-30 Tiao Wang, Yuqian Zheng, Hao Qian, Zhenguo Shi, Satya Medepalli, Jin Zhou, Fuqiang He, Tetsuya Ishida, Dongshuai Hou, Gaozhang Zhang, Zhengwu Jiang, Zhengning Zhou, Wei Zhang
This study quantitatively examines the impact of aluminum (Al) in C–A–S–H gel2In cement notation for oxides, C = CaO, S = SiO2, A = Al2O3, H = H2O, and F = Fe2O3. C–(A)–S–H gel represents both calcium–silicate–hydrate (C–S–H) and aluminum-incorporated calcium–silicate–hydrate (C–A–S–H) gels in this study.2 on the chloride binding capacity of blended cement paste containing supplementary cementitious
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Characterisation of steel corrosion and matrix damage in reinforced mortar combining analytical, electrical and image-based techniques Cem. Concr. Res. (IF 10.9) Pub Date : 2025-01-30 Andreas Alhede, Jelke Dijkstra, Alessandro Tengattini, Karin Lundgren
Characterising steel corrosion at the steel-concrete interface and linking it to concrete damage is challenging due to limitations of current non-destructive techniques. This study combines electrical resistance measurements, full-field image-based analyses and analytical techniques to comprehensively characterise steel corrosion and damage in small-scale specimens.
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Early hydration and viscoelastic properties of tricalcium aluminate pastes influenced by soluble sodium salts Cem. Concr. Res. (IF 10.9) Pub Date : 2025-01-30 Daniel Axthammer, Tobias Lange, Joachim Dengler, Torben Gädt
During the early hydration of ordinary Portland cement (OPC), tricalcium aluminate (C3A) exhibits the highest reactivity among the clinker phases. Consequently, C3A significantly influences the early rheological properties of OPC-based materials, thereby linking rheology with C3A reactivity. The reactivity of C3A is affected by temperature, calcium sulfates, admixtures, and ionic strength. Calcium
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Integrated assessment of magnesium phosphate cement repaired concrete from the perspective of mechanical, geometric and electrochemical compatibility Cement Concrete Comp. (IF 10.8) Pub Date : 2025-01-30 Sijia Liu, Ken Yang, Long Yu, Linglin Xu, Qiang Yuan, Kai Wu, Zhenghong Yang
Magnesium phosphate cement (MPC) has gained more and more attention in the field of rapid repair and strengthening of normal concrete and reinforced concrete structures. Although the performance of MPC itself is of great concern, its compatibility with existing concrete is poorly understood. An effective testing method is necessary to assess the reliability of utilizing MPC mortar repairing construction
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Application of digitalization and computerization technology in road construction Autom. Constr. (IF 9.6) Pub Date : 2025-01-30 Christopher Pentury, Rudy Hermawan Karsaman, Harmein Rahman, Yusep Rosmansyah
Technological advancements have spurred the adoption of digitalization and computerization technologies within the construction industry. This paper employs a systematic review methodology, combining bibliometric analysis, text mining, and visualization techniques, to comprehensively examine the literature on the application of digitalization and computerization technologies in road construction. The
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Autonomous construction framework for crane control with enhanced soft actor–critic algorithm and real‐time progress monitoring Comput. Aided Civ. Infrastruct. Eng. (IF 8.5) Pub Date : 2025-01-30 Yifei Xiao, T. Y. Yang, Fan Xie
With the shortage of skilled labors, there is an increasing demand for automation in the construction industry. This study presents an autonomous construction framework for crane control with enhanced soft actor–critic (SAC‐E) algorithm and real‐time progress monitoring. SAC‐E is a novel reinforcement learning algorithm with superior learning speed and training stability for lifting path planning.
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Durability, recyclability and life cycle of green insulating panels hemp shiv based J. Build. Eng. (IF 6.7) Pub Date : 2025-01-30 Borja Martínez, Ernest Bernat-Maso, Lluís Gil
There is currently a growing need for sustainable and environmentally friendly materials. Previous studies demonstrate that a promising candidate is the use of hemp shiv and recycled cardboard for insulating applications. This study focuses on the durability, recyclability and life cycle of the material, in order to validate the real eco-friendly grade. To validate the durability of the material sample
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Progressive collapse resistance of precast RC beam-column substructures with dry joints under fire condition J. Build. Eng. (IF 6.7) Pub Date : 2025-01-30 Huiyun Zhang, Yan Fei Zhu, Zequn Li, Yufei Liu, Yao Yao
For better understanding of the collapse resistance of dry-connected precast reinforced concrete (RC) structures under fire-induced column-removal scenarios, three dimensional detailed thermal-mechanical coupled numerical models are built to investigate the load capacities and failure modes of precast RC substructures under ISO-834 fire. Python scripts are used in this study to automate the model development
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A methodology for sky-space-ground integrated remote sensing monitoring: A digital twin framework for multi-source Data-BIM integration in residential quality monitoring J. Build. Eng. (IF 6.7) Pub Date : 2025-01-30 Ming Guo, Xiangling Wu, Huihui Qi, Ying Zhang, Jiangjihong Chen, Yaxuan Wei, Xiaolan Zhang, Xiaoke Shang
This study introduces an innovative data-BIM integrated digital twin framework for the quality monitoring residential developments. The framework amalgamates residential building information modeling (RBIM), surveying sensors and Internet of Things (SSIoT) technologies to establish a multi-faceted and multi-scale monitoring system. Within this framework, RBIM serves as a residential information twin
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Recent developments and advanced applications of promising functional nanocomposites for green buildings: A review J. Build. Eng. (IF 6.7) Pub Date : 2025-01-30 Wenjing Dong, Mingguo Ma
Green buildings have received more attention due to their efficient utilization of resources and environmental protection. The functional nanocomposites have widely application in green buildings, including energy conservation and environmentally friendly, and improving building performance. Herein, we reviewed the recent development of functional nanocomposites for green buildings from three sections
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Suggestion of a dimensionless number for dynamic tensile responses and failure of underground concrete silos subjected to soil explosions Tunn. Undergr. Space Technol. (IF 6.7) Pub Date : 2025-01-30 Xieping Huang, Yansong Yue, Bin Zhu, Yunmin Chen
The underground concrete silo, designed as a hollow cylinder with a large aspect ratio and thin walls, is highly susceptible to failure caused by intentional or accidental soil explosions. To enhance its protection, this study investigates the dynamic tensile responses and failure mechanisms of underground concrete silos subjected to high-yield soil explosions. The concept of nominal crack width is
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Excavation disturbance response of deep-buried tunnel with novel dynamic anisotropic mechanical model and failure degree index Tunn. Undergr. Space Technol. (IF 6.7) Pub Date : 2025-01-30 Zhi Zheng, Ronghua Li, Pengzhi Pan, Wei Wang
The current research on the failure theory of surrounding rock failure caused by excavation disturbance of deep buried engineering is seriously insufficient, especially under the combined conditions of true three-dimensional stress and excavation disturbance, which leads to unclear excavation responses and engineering disasters. Therefore, this study carried out true triaxial disturbance tests to investigate
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A methodology for assessing rooftop solar photovoltaic potential using GIS open-source software and the EROI constraint Energy Build. (IF 6.6) Pub Date : 2025-01-30 Alex Tro-Cabrera, Rosa Lago-Aurrekoetxea, Itziar Martínez-de-Alegría, Estitxu Villamor, Alvaro Campos-Celador
Energy consumption and carbon emissions are concentrated in cities, where 70 % of the global population is projected to live by 2050. Urban environments must therefore be at the heart of any global energy transition. Furthermore, land availability is a limiting factor for renewable deployment and rooftop PV thus offers a clear advantage. This research is based on the rooftop photovoltaic potential
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Hierarchical multi-agent deep reinforcement learning with adjustable hierarchy for home energy management systems Energy Build. (IF 6.6) Pub Date : 2025-01-30 Leehter Yao, Pin-Yen Liu, J.C. Teo
This paper proposes a hierarchical multi-agent deep reinforcement learning (DRL) with adjustable hierarchy for home energy management system (HEMS). Particularly, the framework enables multiple agents within a single HEMS to manage their designated appliances or energy resources in a hierarchical order, and the hierarchical levels of agents are dynamically adjusted based on the situation. Agents at
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A review of air-side economizers in human-centered commercial buildings: Control logic, energy savings, IAQ potential, faults, and performance enhancement Energy Build. (IF 6.6) Pub Date : 2025-01-30 Haipei Bie, Bingtong Guo, Tian Li, Vivian Loftness
This review analyzes documented benefits of economizers for energy performance and Indoor Air Quality (IAQ) enhancement in commercial buildings, including control logic, energy savings, IAQ potential, faults, and performance enhancements. Findings indicate that existing control logics primarily focus on energy, with differential enthalpy plus differential temperature (DE+DT) methods operating most
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How high can You Go: Determining the warmest supply water temperature for high thermal mass radiant cooling systems under thermal comfort constraints Energy Build. (IF 6.6) Pub Date : 2025-01-30 Carlos Duarte Roa, Paul Raftery, Stefano Schiavon, Fred Bauman
The need for cooling in buildings is mainly handled using systems based on the refrigeration cycle, often an energy- and cost-intensive process. High thermal mass radiant systems (HTMR) enable the use of warmer than typical chilled water temperatures to provide cooling. In favorable weather conditions, the cooled water can be produced through low-energy and low-cost cooling devices. In this two-phased
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Adaptive thermal comfort models comparison in dry and rainy seasons: A tropical climate case Energy Build. (IF 6.6) Pub Date : 2025-01-30 J.G. Sánchez-Montes, J.J. Flores-Prieto, L.A López-Pérez, C. Ríos-Rojas
The increasing energy consumption in buildings emphasizes the need for effective energy mitigation strategies prioritizing thermal comfort. Research on the annual adaptive approach has demonstrated significant energy savings. However, the seasonal management of this adaptive approach, particularly in tropical climates where comfort temperatures can be raised, has not been thoroughly explored, and its
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Polymorph and minor phase quantification in Portland clinker by X-ray powder diffraction analysis: Addressing challenges and foreign ion effects Cem. Concr. Res. (IF 10.9) Pub Date : 2025-01-29 Paulo R. de Matos, José S. Andrade Neto, Carlos E.M. Campos, Ruben Snellings, Robert E. Dinnebier, Ana P. Kirchheim
A comprehensive investigation of the phase composition of eight commercial clinkers was conducted through state-of-the-art synchrotron (SXRD) and laboratory (LXRD) X-ray diffraction, and supporting techniques. Challenges involved in polymorph and minor phase quantification, and the effects of foreign ions on the clinker chemistry were addressed. SXRD yielded higher C3S and lower C2S contents than LXRD
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Improving the performance of SiO2 nanoparticles in portland-limestone cementitious systems using silica-limestone composites Cement Concrete Comp. (IF 10.8) Pub Date : 2025-01-29 Qitong Liu, Payam Hosseini, Bu Wang
This study examines the effectiveness of doping SiO2 nanoparticles onto limestone substrates to mitigate nanoparticle agglomeration, thereby enhancing their performance through improved dispersion within the cement paste matrix. SiO2 nanoparticles were doped onto the limestone particles using the wet doping method, and the resulting SiO2-nanoparticle-limestone composite was incorporated into cement
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Active learning-driven semantic segmentation for railway point clouds with limited labels Autom. Constr. (IF 9.6) Pub Date : 2025-01-29 Zhuanxin Liang, Xudong Lai, Liang Zhang
Accurate semantic segmentation of railway point clouds is crucial for railway infrastructure modelling. However, existing fully-supervised methods are heavily dependent on labeled datasets, while label-efficient methods typically struggle to generate representative annotations. To address these challenges, a weakly supervised point cloud semantic segmentation method based on active learning is proposed
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Occlusion-aware and jitter-rejection 3D video real-time pose estimation for construction workers Autom. Constr. (IF 9.6) Pub Date : 2025-01-29 Benyang Song, Jiajun Wang, Xiaoling Wang, Tuocheng Zeng, Dongze Li
Video pose estimation is widely employed to monitor the activities of workers at construction sites. However, previous studies have often overlooked the challenges posed by complex occlusions and motion jitters, resulting in inaccurate or unrealistic postures that impact subsequent analysis. This paper presents a three-dimensional (3D) worker pose estimation pipeline to mitigate occlusions and jitters
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Bridge point cloud semantic segmentation based on view consensus and cross-view self-prompt fusion Autom. Constr. (IF 9.6) Pub Date : 2025-01-29 Yan Zeng, Feng Huang, Guikai Xiong, Xiaoxiao Ma, Yingchuan Peng, Wenshu Yang, Jiepeng Liu
Point cloud semantic segmentation has been widely applied for bridge inverse modeling. However, existing methods are either labor-intensive or exhibit poor generality for real-world bridges. To address these limitations, this paper presents a bridge semantic segmentation method based on a pre-trained visual model. A viewpoint selection method based on view consensus is proposed to evaluate and optimize
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Image-based prediction for enclosure structure deformation in pipe-roof tunnel construction using a physical-guided and generative deep learning method Autom. Constr. (IF 9.6) Pub Date : 2025-01-29 Cunyang Zhang, Yue Pan, Jin-Jian Chen
This paper proposes an image-based enclosure structure deformation prediction model called the physical-guided and generative deep learning (PG-GDL) method for pre-support tunnel construction, filling critical gaps in physical-guided image-based datasets and image-to-image prediction of structure deformations. The PG-GDL method establishes reliable correlations between real-time construction information
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Energy efficient design of internal cooling liquid desiccant dehumidification system based on useful exergy evaluation J. Build. Eng. (IF 6.7) Pub Date : 2025-01-29 Guangkai Zhang, Jingjie Tan, Honggang Liu, Boyao Du, Jingchao Xie, Jiaping Liu, Lin Lu
This study presents a numerical model for an internally cooled liquid desiccant dehumidification system, specifically designed to optimize energy efficiency in high temperature and humidity environments. Utilizing exergy analysis, the performance characteristics of the system are evaluated, and energy-saving strategies tailored for these challenging conditions are identified. The impact of key component