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Low-carbon MgO/hydromagnesite binders – effect of moisture state on the evolution of mechanical properties Cem. Concr. Res. (IF 10.9) Pub Date : 2025-06-16 Ye Zhu, Alexander German, Mateusz Wyrzykowski, Nikolajs Toropovs, Frank Winnefeld, Pietro Lura, Michele Griffa
We studied the mechanical properties of MgO/hydromagnesite mortars cured at 20 °C both in humid (98 %RH) and dry (57 %RH) environments. The linear storage Young's modulus was determined with quasi-static loading and dynamically by SIngle MOde Resonance Ultrasound Spectroscopy (SIMORUS) measurements. We measured the corresponding loss modulus and the nonlinear counterpart of the storage modulus. Humid
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Cement-based Mechanical Metamaterials with Spiral Resonators for Vibration Control Cement Concrete Comp. (IF 10.8) Pub Date : 2025-06-16 Koichi Imagawa, Motohiro Ohno, Yoichiro Koga, Tetsuya Ishida
This paper presents a single-phase cement-based mechanical metamaterial for vibration control. The unit cell consists of a cement-based matrix with tailored spiral slits, functioning as an embedded spring-mass system. The local resonance of the spiral resonators generates a band gap within a specific frequency range, in which input vibration energy is effectively absorbed. Both experimental and analytical
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Effects of highly dispersed LDH nano-platelets on chloride binding and corrosion protection of cementitious materials Cement Concrete Comp. (IF 10.8) Pub Date : 2025-06-15 Qinglu Yu, Xing Ming, Yueyang Wang, Long Sun, Mingkai Cui, Guoxing Sun
The chemical binding of free chloride ions in cementitious materials, crucial for prolonging their lifespan, relies heavily on aluminate hydrates and can be modulated by incorporating the layered double hydroxides (LDHs). Yet, the currently synthesized LDHs in field of cement and concrete usually suffer from nano crystallites aggregation, limiting their potential as nanofillers and hindering the chloride-capturing
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Anisotropic flexural behavior and energy absorption of 3D printed engineered cementitious composites (3DP-ECC) beams under low-velocity impact Cement Concrete Comp. (IF 10.8) Pub Date : 2025-06-14 Huzi Ye, Qianpeng He, Pengxin Ping, Jinlong Pan, Binrong Zhu
This study systematically investigates the mechanical behavior and energy absorption properties of anisotropic 3D-printed engineered cementitious composite (3DP-ECC) beams under low-velocity impact, with a focus on performance variations across different loading directions. A comprehensive experimental program, including quasi-static compression, tensile, three-point flexural, and low-velocity impact
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CO2-induced changes in rheology, structural evolution, and particle characteristics of cement paste Cement Concrete Comp. (IF 10.8) Pub Date : 2025-06-10 Seongho Han, Tae Yong Shin, Seung Mo Kim, Jae Hong Kim, Kamal H. Khayat
The injection of carbon dioxide (CO2) into cementitious systems has emerged as a promising approach to enhancing sustainability in concrete production. This study explores the impact of CO2 injection on the rheological behavior, structural build-up, and particle size evolution of cement paste by systematically varying the water-to-cement ratio (w/c) (0.35, 0.4, and 0.5) and CO2 concentration (0.06
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Chloride induced corrosion behavior of carbon steel rebar in seawater mixed Portland cement-SF-MK ternary pastes with low w/b ratio Cement Concrete Comp. (IF 10.8) Pub Date : 2025-06-13 Yifan Zhao, Xiang Hu, Xiao-Ling Zhao, Gaozhan Zhang, Caijun Shi
Utilizing seawater in the formulation of ultra-high-performance concrete (UHPC) presents promising opportunities in marine civil engineering. This study investigates the chloride-induced corrosion behavior of carbon steel within seawater-mixed Portland cement-SF-MK ternary pastes with a low water-to-binder ratio, through electrochemical measurements. The findings reveal that the incorporation of supplementary
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Reinforcement learning–based task allocation and path‐finding in multi‐robot systems under environment uncertainty Comput. Aided Civ. Infrastruct. Eng. (IF 8.5) Pub Date : 2025-06-15 Songjun Huang, Chuanneng Sun, Jie Gong, Dario Pompili
Autonomous robots have the potential to significantly improve the operational efficiency of multi‐robot systems (MRSs) under environment uncertainties. Achieving robust performance in these settings requires effective task allocation and adaptive path‐finding. However, conventional model‐based frameworks often rely on centralized control or global information, making them impractical when communication
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Automated inference of context-specific hazards in construction using BIM and Ontology Autom. Constr. (IF 9.6) Pub Date : 2025-06-14 Seongyeon Hwang, Seoyoung Jung, Seulki Lee
To address the high rate of workplace accidents in the construction industry, this paper proposed an automated hazard identification process using building information modeling (BIM) and ontology. In South Korea, legislation mandates risk assessment and safety documentation to prevent construction accidents by identifying potential hazards. Current methods rely on the experience of personnel, which
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Model-based planning of complex 3D laser scanning campaigns for bridge digitisation Autom. Constr. (IF 9.6) Pub Date : 2025-06-14 Kwasi Nyarko Poku-Agyemang, Alexander Reiterer
Large, complex structures like bridges are essential infrastructure, expensive to design, construct, monitor, and maintain. The digitisation of bridges has advanced in areas such as structural health monitoring, maintenance, load simulation, and bridge information modelling. 3D laser scanning captures these structures in digital space, and recent advancements have improved the creation of realistic
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Automated detection of complex construction scenes using a lightweight transformer-based method Autom. Constr. (IF 9.6) Pub Date : 2025-06-13 Hongru Xiao, Bin Yang, Yujie Lu, Wenshuo Chen, Songning Lai, Biaoli Gao
Accurate and real-time object detection in complex construction scenes from multiple viewpoints plays a crucial role in effective project management. However, this task remains limited by boundary information sharing and scene sensitivity inherent in deep features. To investigate the deep features in construction scenes and analyze method performance, SODA and VisDrone datasets, mean Average Precision
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Multi-LOD generative approach for multi-objective sustainability optimization from the early stages of building design Autom. Constr. (IF 9.6) Pub Date : 2025-06-13 Catherine Bouillon, Benjamin Cohen Boulakia, Karim Beddiar, Yves Jaboin, Fabrice Duval
Given the urgency of reducing the buildings' environmental impact, this article focuses on optimizing sustainability from the earliest design phases, when decisions have the greatest influence. To address the challenges posed by the coarse granularity of digital models during the sketching phase and the often-conflicting nature of sustainability criteria, a generative workflow is proposed. This workflow
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Remote measurement of reinforcing bar spacing and length from an oblique photograph using a novel perspective correction technique Comput. Aided Civ. Infrastruct. Eng. (IF 8.5) Pub Date : 2025-06-13 Jun Su Park, Jae Young Kang, Hyo Seon Park
The dimensional inspection of reinforcing bars at construction sites prior to concrete pouring is essential to ensure structural integrity. However, this process has traditionally relied on manual tape measurements, which are labor‐intensive, unsafe, and prone to human error. To address these limitations, this study introduces a novel method for remotely inspecting the spacings and lengths of reinforcing
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Signed distance function–biased flow importance sampling for implicit neural compression of flow fields Comput. Aided Civ. Infrastruct. Eng. (IF 8.5) Pub Date : 2025-06-13 Omar A. Mures, Miguel Cid Montoya
The rise of exascale supercomputing has motivated an increase in high‐fidelity computational fluid dynamics (CFD) simulations. The detail in these simulations, often involving shape‐dependent, time‐variant flow domains and low‐speed, complex, turbulent flows, is essential for fueling innovations in fields like wind, civil, automotive, or aerospace engineering. However, the massive amount of data these
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Research on the design and hierarchical control strategy of wind-PV-energy storage and electric vehicle integrated energy systems for zero-carbon buildings Energy Build. (IF 6.6) Pub Date : 2025-06-13 Yanting Liu, Guohui Feng, Shasha Chang, Yuqian Cheng
Zero-carbon buildings achieve energy self-sufficiency through renewable energy like wind and solar, but their power generation is intermittent, while electric vehicles (EVs) as flexible loads can compensate for this drawback. However, the current prevalence of uncoordinated EV charging loads poses significant challenges to grid stability, making the implementation of coordinated control strategies
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Optimized scheduling of residential appliances in smart homes for cost reduction and user comfort enhancement with peak-to-average ratio constraints and tariff schemes Energy Build. (IF 6.6) Pub Date : 2025-06-13 Y. Chittemma, T. Kiran, R.Srinu Naik
Advances in battery and renewable energy technologies have increased the adoption of renewable energy sources (RES) and energy storage systems (ESS) in residential settings to reduce energy costs. This research aims to optimize energy utilization, enhance renewable integration, and reduce dependence on the main grid during peak hours by proposing a hybrid Smart Home Energy Management System (SHEMS)
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Disentangling small-scale solar photovoltaic adoption: A spatial analysis of decision factors and localized interactions in Germany Energy Build. (IF 6.6) Pub Date : 2025-06-13 Lisa Sieger, Tobias Stein, Christoph Weber
The existence of spatial patterns in the adoption of small-scale solar photovoltaic (PV) systems is widely accepted in academic literature. The diffusion of these systems depends on the decisions of heterogenous units, often households, that form their decision based on unit characteristics and attitudes, the built environment, economic and physical factors, as well as peer effects. When including
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A proactive fault detection and diagnostics method for zone-level auto-commissioning in VAV AHUs Energy Build. (IF 6.6) Pub Date : 2025-06-13 Arya Parsaei, Andre Markus, Burak Gunay, William O’Brien, Ricardo Moromisato, Jayson Bursill
Fault detection and diagnostics (FDD) in HVAC systems is critical for maintaining optimal indoor environmental quality and ensuring energy efficiency. Undetected faults in HVAC components can lead to increased energy consumption, occupant discomfort, and higher maintenance costs. Traditional FDD requires symptoms to appear during the normal operation of a building, which may require waiting for a considerable
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A strong straw policy can supply three quarters of the insulation needs for construction and renovation in France Energy Build. (IF 6.6) Pub Date : 2025-06-13 Marceau Gourovitch, Bertrand Laratte, Jean-Philippe Costes
The building sector is a major contributor to greenhouse gas (GHG) emissions, and regulations are increasingly promoting the use of bio-based insulation materials to support decarbonization. After an interesting literature review, this study evaluates the potential of wheat straw as an insulation material for construction and renovation in France. It quantifies the amount of straw realistically available
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A comparative analysis of façades with cool coatings and living green walls in hot-dry climates Energy Build. (IF 6.6) Pub Date : 2025-06-13 Sahar Khabir, Roza Vakilinezhad, Ozgur Gocer
As cities face climate change and urbanization challenges, cool façade systems like advanced coating materials and living green walls (LGWs) have become popular because of their potential to improve urban sustainability and the thermal performance of existing buildings. The cool facade systems aim to mitigate the urban heat island effect by reducing heat absorption, enhancing occupant thermal comfort
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Zn2+ as a dopant to stabilize hydrated magnesium carbonates Cem. Concr. Res. (IF 10.9) Pub Date : 2025-06-12 Hoang Nguyen, Nirrupama Kamala Ilango, Frank Winnefeld, Barbara Lothenbach, Paivo Kinnunen
The formation of solid solutions of Mg‑carbonates incorporating Zn2+ was investigated. The presence of Zn retarded the reaction of brucite at the early stages but increased its reaction in the long-term. The initially formed nesquehonite [MgCO3·3H2O] and brucite converted to dypingite [Mg5(CO3)4(OH)2·5H2O] with time, both in the absence and presence of Zn, while dypingite remained stable throughout
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Effect of CO2 partial pressure and temperature on degradation kinetics of cement paste in CO2-rich water Cement Concrete Comp. (IF 10.8) Pub Date : 2025-06-12 Shuqing Zhang, Jianhui Liu, Leping Liu, Zheng Chen, Caijun Shi
In karst areas, the groundwater typically exhibits high levels of carbon dioxide (CO2-rich water), which leads to the calcium leaching of underground concrete structures. The deterioration of concrete cover can cause the corrosion of the steel bars, resulting in a serious threat to the durability of the structures. In this paper, the degradation behaviors and microstructure development of cement paste
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Mesoscale degradation of interface transition zone in recycled aggregate concrete under multi-ion attack: Role of cementitious composites and microhardness-geometric evolution Cement Concrete Comp. (IF 10.8) Pub Date : 2025-06-12 Jiabin Wang, Huiyang Han, Yijie Fan, Bin Wang, Xiao Guan
This study investigates the microhardness and geometric degradation mechanisms of interfacial transition zones (ITZs) in recycled aggregate concrete (RAC) exposed to saline soil attack, focusing on the influence of supplementary cementitious materials (SCMs). Ten RAC mixtures incorporating fly ash (FA), granulated blast furnace slag (GBFS), silica fume (SF), and metakaolin (MK) at 10 %, 15 %, and 20 %
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Semantic-guided automatic data acquisition for Terrestrial Laser Scanners in Civil Engineering Autom. Constr. (IF 9.6) Pub Date : 2025-06-12 Yan Xu, Yifeng Wang, Jianjun Yang, Tong Yu, Jian Zhang
Terrestrial Laser Scanning (TLS) captures precise geometric data for civil infrastructures on status monitoring and digital model creation. However, TLS data collection requires manually setting the scanning range, which limits automation and can lead to redundant background data. This paper introduces an image semantic-guided TLS scanning mode for completely automatic data acquisition. Leveraging
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Optimized motion planning for mobile robots in dynamic construction environments with low-feature mapping and pose-based positioning Autom. Constr. (IF 9.6) Pub Date : 2025-06-12 Song Du, Miaomiao Du, Yan Gao, Minxin Yang, Fuji Hu, Yiwei Weng
Optimizing autonomous motion planning for robots in dynamic and uncertain construction environments is crucial. Real-time planning is challenged by the complexity of map-building data processing and path optimization. This paper introduced a dynamic motion planning approach utilizing low-feature data, multi-constraint path planning, and flexible positioning. A multi-sensor data fusion method generates
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Generating accessible multi-occupancy floor plans with fine-grained control using a diffusion model Autom. Constr. (IF 9.6) Pub Date : 2025-06-12 Haolan Zhang, Ruichuan Zhang
This paper presents a constrained transformer-based diffusion model for generating accessibility-aware and spatially coherent multi-occupancy building floor plans to support early-stage design. Existing approaches often produce low-resolution outputs and lack fine-grained control over room configurations. To address these issues, the proposed approach employs a latent transformer-based diffusion model
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Bluetooth low energy for indoor positioning: Challenges, algorithms and datasets Autom. Constr. (IF 9.6) Pub Date : 2025-06-12 Mohammadali Ghaemifar, Sanaz Motie, Seyed Mehdi Moosaviun, Yasaman Nemati, Saeed Ebadollahi
This review paper investigates a comprehensive review of Bluetooth Low Energy (BLE)-based indoor positioning systems (IPS), focusing on key techniques, challenges, and advancements. It categorizes IPS methods into geometric mapping and fingerprinting, analyzing their strengths and limitations. The integration of machine learning, deep learning, and reinforcement learning is explored to improve accuracy
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An interval prediction system for track irregularity after tamping based on multi‐module machine learning and pointwise scaling approach Comput. Aided Civ. Infrastruct. Eng. (IF 8.5) Pub Date : 2025-06-12 Yuxiao Zhang, Jin Shi, José Nuno Varandas, Youkang Ding
Predicting changes in track irregularity after tamping is important for assisting maintenance decisions and improving construction efficiency. To date, most prediction methods lack consideration for the uncertainties related to tamping effects. To fill this gap, a multi‐module prediction interval system composed of feature selection, interval scaling, and intelligent predictor has been constructed
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Comprehensive prevention and control research on rockburst in ultradeep shaft based on theoretical deepening and practical verification Tunn. Undergr. Space Technol. (IF 6.7) Pub Date : 2025-06-12 Shaolong Qin, Xingdong Zhao, Tong Wu, Jingyi Song, Xuewen Cao
With the continuous increase in underground engineering depth, rockburst—a highly destructive geological hazard—poses a significant threat to the safety and stability of engineering projects. This study focuses on the rockburst challenges in the −1915 m ultra-deep shaft project of the Sanshandao Gold Mine, situated 125 m from the active Sanshandao Fault Zone. By integrating theoretical analysis, numerical
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Failure mechanism and surface settlement analysis of tunnels in an inclined stratum based on the upper bound method Tunn. Undergr. Space Technol. (IF 6.7) Pub Date : 2025-06-12 Tugen Feng, Ziang Chen, Daiguang Yu, Jian Zhang, Xiangcou Zheng
Shield tunnels are often excavated in mixed soil layer, in which the soil interface changes greatly. Such complex soil changes often lead to tunnel collapse and land subsidence exceeding limits. The coupling effects of formation inclination and composite ratio (ratio of soft soil thickness to tunnel diameter) on the failure mechanism and surface settlement deformation are investigated based on the
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Real-time prediction of tunnel face deformations by multivariate construction information Tunn. Undergr. Space Technol. (IF 6.7) Pub Date : 2025-06-12 Yuxuan Xia, Dongming Zhang, Bo Zhang, Hongwei Huang, Yue Tong, Cong Nie
Under complex geological and construction conditions, the deformation prediction of drill-and-blast tunnel faces various challenges: limited generalizability of prediction models and acquisition of real-time deformation development data. To address these issues, this study develops a deep-learning model framework, CIembed-TFDF, for predicting deformation in the transversal section at tunnel faces.
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A preliminary study on the subjective, physiological and behavioural responses of older people with dementia to indoor thermal environment in summer − A case in Chongqing Energy Build. (IF 6.6) Pub Date : 2025-06-12 Xinbei Zhou, Meng Liu, Yingxian Zhai, Lu Zhu, Yu Lei, Chenxu Zhao, Shen Wei, Yongqiang Li, Ziqiao Li
The indoor thermal environment plays a vital role in the psychological and physiological health of elderly individuals with dementia, particularly in the context of climate change. Due to impaired thermoregulation and cognitive confusion, the thermal responses of those with dementia remain poorly understood. This study aims to preliminarily explore the unique subjective, physiological, and behavioural
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Field demonstration of model predictive control for chiller sequencing in large-scale commercial buildings Energy Build. (IF 6.6) Pub Date : 2025-06-12 Shuhao Li, Siqi Li, Parastoo Mohebi, Dan Wang, Martin N.H. Ma, Gang Liu, Zhe Wang
Commercial buildings in high-density urban regions, such as Hong Kong, account for 65 % of total electricity consumption, with 25 % attributed to cooling systems. Modern large-scale buildings deploy multiple-chiller plants to balance reliability and part-load efficiency. However, traditional rule-based control (RBC) strategies for chiller sequencing often fail to adapt to dynamic operating conditions
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Evaluating single-shot and two-stage vision-based detection of occupancy activity in energy-efficient buildings Energy Build. (IF 6.6) Pub Date : 2025-06-12 Shupeng Zhou, Wuxia Zhang, Paige Wenbin Tien, John Calautit
Building energy consumption is heavily influenced by occupant behavior, yet many heating, ventilation, and air conditioning (HVAC) systems operate on static or pre-defined schedules that may not capture real-time occupancy dynamics. This study presents a novel comparative evaluation of vision-based deep learning methods, specifically YOLO, a single-shot detection model, and Faster R-CNN, a two-stage
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Hygrothermal performance of an innovative resource efficient composite masonry units with embedded biobased insulation Energy Build. (IF 6.6) Pub Date : 2025-06-12 Luca Caruso, Vincent Buhagiar, Greta Caruana Smith, Marco Larcher, Spiridione Buhagiar, Dario Bottino Leone
The REcycled Stone and Concrete Unit (RESCIU) is an exemplary case study of load-bearing composite masonry units (cMU) based on a unique and registered design that involves sandwiching a 12 mm S-shaped biobased polyurethane foam (BPUF) between C-shaped recycled solid elements, one in Globigerina limestone and the other in concrete.
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Unraveling the applicability and thermal performance of PCM-impregnated wood in personalized comfort systems: Thermal manikin verification Energy Build. (IF 6.6) Pub Date : 2025-06-12 Xiujie Li, Cheuk Ming Mak, Peng Xue, Rong Xue, Hai Ming Wong
Personalized comfort systems compared to conventional whole-space heating/cooling can simultaneously target individual requirements and reduce the building energy consumption. Renewable wooden furniture in interior spaces can influence human emotional perception and even thermal exchange, while the impregnation of the phase-change materials (PCM) can further improve their thermal regulation characteristics
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Accurate energy optimization mechanism of artificial ice rink based on machine learning-ANSYS-experiment coupling Energy Build. (IF 6.6) Pub Date : 2025-06-12 Xiangyu Song, Shuoyang Wang, Dongji Yang, Hao Xin, Dong Chen, Siyi Luo
To meet the heat dissipation requirements of artificial ice rinks, this study systematically analyzed the heat dissipation characteristics of cooling pipes and anti - freezing pipes and their influencing factors through the coupling of numerical simulation, machine learning, and experiments. The results show that there is a linear negative correlation between the temperature of the cooling pipes and
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Reactive transport modelling of autogenous self-healing: Impact of portlandite content and degree of hydration Cem. Concr. Res. (IF 10.9) Pub Date : 2025-06-11 Daniel Lahmann, Wolf-Achim Kahl, Sylvia Keßler
No Abstract
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New insights on thaumasite precipitation based on thermodynamic modeling and 3-year exposure of cement pastes to Na2SO4 and MgSO4 solutions Cement Concrete Comp. (IF 10.8) Pub Date : 2025-06-11 Shintaro Miyamoto, Yuichiro Kawabata, Natsuki Yoshida, Marcus H.N. Yio, Tsuyoshi Saito, Hong S. Wong
Cement pastes were exposed to 0.10 mol/L Na2SO4 and MgSO4 solutions at 20 °C for over three years to investigate the precipitation mechanism of thaumasite and the associated phase evolution. Powder X-ray diffraction, thermogravimetric analysis, Fourier-transform infrared spectroscopy, and scanning electron microscopy coupled with energy-dispersive X-ray spectroscopy show that samples exposed to MgSO4
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Self-healing mechanisms in concrete cured in CO2-saturated environments: Synergistic effects of biomass forest ash and metakaolin Cement Concrete Comp. (IF 10.8) Pub Date : 2025-06-11 B. Cantero, S. Seara-Paz, E. Cuenca, L. Ferrara, B. González-Fonteboa
This study investigates the effect of autogenous self-healing in high-performance ternary concrete mixes incorporating biomass forest ash when exposed to concentration of carbon dioxide (CO2). To analyse this phenomenon, three cementitious systems were studied: i) 100 % Portland cement, ii) 60 % Portland cement, 25 % biomass ash, and 15 % metakaolin, and iii) 60 % Portland cement, 25 % limestone filler
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Multi-agent large language model framework for code-compliant automated design of reinforced concrete structures Autom. Constr. (IF 9.6) Pub Date : 2025-06-11 Jinxin Chen, Yi Bao
The current manual approach for designing reinforced concrete, guided by structural design codes, is inefficient and susceptible to human error. This paper presents a Large Language Model (LLM) framework to automate code-compliant design and achieve interpretability and verifiability. The framework decomposes complex tasks into subtasks handled by coordinated LLM agents with specialized expertise,
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Computed method for the thermal buckling performance of a constrained non-circular heated pipeline with an oval inverted arch Tunn. Undergr. Space Technol. (IF 6.7) Pub Date : 2025-06-11 Qian Zhang, Shiyi Zhang, Meiling Shen, Zhaochao Li
This study focuses on the thermal buckling analysis of a confined noncircular pipeline with an oval inverted arch subjected to thermal loads. A trigonometric formula is employed to illustrate the radial inward deflection of the pipeline resulting from the rigid confinement of the surrounding medium (soils/rocks). The governing equations are derived by integrating the classical shell theory with energy
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Thermal runaway properties of power cells under tunnel scenarios: Impact of state of charge, capacity, and chemistry Tunn. Undergr. Space Technol. (IF 6.7) Pub Date : 2025-06-11 Dongxu Ouyang, Xiaojun Liu, Bo Liu, Zhirong Wang
The thermal runaway risk of power cells inside tunnels is non-negligible, particularly considering the dramatic increase in electric vehicles and tunnels with the development of cities, thus an experimental investigation is performed in this research to disclose the thermal runaway properties of power cells at tunnel scenarios; in which, the impact of cell state of charge (SOC), capacity, and chemistry
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Seismic resilience assessment of shield tunnels under contact loss defects using a hybrid neural network model driven by machine learning and numerical simulation Tunn. Undergr. Space Technol. (IF 6.7) Pub Date : 2025-06-11 Xianlong Wu, Xiaohua Bao, Jun Shen, Xiangsheng Chen
Contact loss defects (CLD) have a significant impact on the seismic performance of shield tunnels with segmental joints. Accurately evaluating the seismic resilience of tunnels under the influence of CLD is crucial for ensuring the safety of urban rail transit systems. In this study, a comprehensive dataset considering the effects of CLD was constructed using actual ground penetrating radar (GPR) detection
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Parametric modeling and safety simulation of pit excavation affecting adjacent tunnels based on BIM-FEM framework Tunn. Undergr. Space Technol. (IF 6.7) Pub Date : 2025-06-11 Hao Huang, Ziming Liu, Yongdan Wang, Hainian Wang
This research puts forward an intelligent analysis framework to tackle key issues in the collaborative analysis of Building Information Modeling (BIM) and the Finite Element Method (FEM) within urban foundation pit projects. These issues include model conversion distortion, poor mesh convergence, and low efficiency in multi – case iterations. By integrating BIM parametric modeling with FEM automated
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Full-scale experimental and numerical study of the influence of beams depth on the smoke flow characteristics in a long-closed channel with lateral opening Tunn. Undergr. Space Technol. (IF 6.7) Pub Date : 2025-06-11 Ke Wang, Weixin Tong, Junrui Duan, Jie Ji, Fanliang Ge, Zhiyong Wang
This paper aims to study the influence of beams depth on the smoke flow characteristics in a long-closed channel with lateral opening and multiple ceiling beams. A series of full-scale experiments and numerical simulations with different fire heat release rates and beam depths were carried out. The influence of beams depth on the smoke spreading, the longitudinal ceiling temperature distribution, the
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Influence of prestress on failure response and reinforcement mechanism of anchorage layer in tunnels: Experimental insights from P-wave velocity and PIV analysis Tunn. Undergr. Space Technol. (IF 6.7) Pub Date : 2025-06-11 Henghong Yang, Mingnian Wang, Li Yu, Jie Liu, Xiao Zhang, Jun Liu, Zhihui Xu
The reinforcement of tunnels in weak surrounding rock using anchor bolts establishes an anchorage layer that collaborates in bearing loads, constituting a widely employed reinforcement technique. However, the bearing capacity of the anchorage layer remains unquantified, its failure response inadequately investigated, and the reinforcement mechanism of anchor bolts has yet to be comprehensively elucidated
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Research on the grease rear penetration escape behavior and the sealing performance of shield tail under static pressure of shield tail brush Tunn. Undergr. Space Technol. (IF 6.7) Pub Date : 2025-06-11 Zhanlin Cao, Shunhua Zhou, Jianguo Liu, Huiji Guo, Honggui Di
The shield tail sealing system plays a vital role in averting water-inflow incidents during shield tunneling, garnering considerable attention from both academic and engineering communities due to its sealing efficacy and failure determinants. This research investigates the influence of various shield tail clearances on the interaction between grease and shield tail brushes, as well as the subsequent
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Full-process seismic simulation method for urban underground rail transit networks considering source-path-structure effects Tunn. Undergr. Space Technol. (IF 6.7) Pub Date : 2025-06-11 Zhenning Ba, Yeziqi Sun, Dongqiao Li, Shujuan Han, Yan Lu, Duzheng Sun
Conducting seismic research on large-scale urban underground rail transit networks is a frontier topic in the development of resilient cities. However, existing studies excessively simplify the characteristics and physical mechanisms of regional seismic motion. A comprehensive seismic analysis method considering the whole process of source-path-structure has not been formed. Hence, to simulate the
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Main issues and solutions in intelligent hole-position design for tunnel blasting Tunn. Undergr. Space Technol. (IF 6.7) Pub Date : 2025-06-11 Haojun Wu, Min Gong, Zhenyang Cao, Xiaodong Wu
This study proposed an intelligent hole-position planning method for tunnel blasting to address challenges such as inconsistent hole layout rules and the lack of mathematical methods to coordinate uneven hole positions. This method considered the initiation sequence and rock-breaking direction. A hole layout rule is established based on the burden uniformity. The impact of several design factors on
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Integrating rooftop PV system in low-cost building plan: A pathway to improving energy access and environmental sustainability Energy Build. (IF 6.6) Pub Date : 2025-06-11 Williams S. Ebhota, Pavel Y. Tabakov
This study examines the feasibility of integrating enhanced rooftop PV systems into low-cost building designs by optimizing roof pitch angles and employing two-sided gable PV module mounting. Computational modelling was used to evaluate the impact of roof pitch angles on PV potential and system performance. Key meteorological parameters at the location (6.52° latitude, 6.29972° longitude) include monthly
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Dynamic simulation of a heat pump for building applications oriented to assess the potential for demand response and ancillary services supply Energy Build. (IF 6.6) Pub Date : 2025-06-11 Maurizio La Villetta, Pietro Catrini, Antonio Piacentino
The building sector and the policies aimed at decarbonising its energy uses are expected to play a crucial role to achieve the climate targets. Attention has been arising on the capability of this sector to provide flexibility to the power grid through the implementation of Demand Response programmes via reversible heat pumps. In the present paper a detailed analysis of the flexibility induced on the
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Radiative cooling rooftop systems for energy-efficient temporary housing: A Hong Kong case study Energy Build. (IF 6.6) Pub Date : 2025-06-11 Quan Gong, Jianheng Chen, Lin Lu
The design of the building envelope plays a crucial role in constructing energy-efficient buildings. However, for buildings made of materials with low thermal resistance and a low solar reflectance index, such as temporary housing, maintaining a comfortable indoor environment results in significant energy consumption for air conditioning. In this study, we proposed a cold ceiling by integrating the
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Production of carbonates calcined clay cement composites via CO2-assisted vigorous stirring Cement Concrete Comp. (IF 10.8) Pub Date : 2025-06-10 Yingliang Zhao, Yong Zheng, Jionghuang He, Kai Cui, Peiliang Shen, Guangmin Peng, Ruilai Guo, Daohui Xia, Chi Sun Poon
Limestone calcined clay cement (LC3) offers a promising approach to reducing CO2 emissions in the construction industry. However, the early-age compressive strength of LC3 is notably low, primarily due to the high clinker substitution level. This study introduces an innovative carbonate-activated calcined clay cement system, termed C4, produced through a two-step process: pretreating metakaolin (MK)
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Achieving Instantaneous Activation of Recycled Concrete Powder by Hyper-Gravity Carbonation Cement Concrete Comp. (IF 10.8) Pub Date : 2025-06-10 Zhenjiang GU, Long JIANG, Zihan MA, Yi JIANG, Peiliang SHEN, Chi Sun POON
In this study, a hyper-gravity environment was used for carbonation, aiming at achieving rapid carbonation for activating recycled concrete powder (RCP). The degree of carbonation, mineralogical changes, and microstructural evolution of the RCP during hyper-gravity carbonation (HGC) were monitored and compared with normal carbonation (NC). The results showed that HGC exhibited a carbonation rate 30
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Design and Performance of 3D Printed Bouligand Steel Fiber-Reinforced Cementitious Composite Curved Beams Cement Concrete Comp. (IF 10.8) Pub Date : 2025-06-10 Shuai Li, Junli Liu, Chi-Tsun Cheng, Hung Nguyen Xuan, Phuong Tran
3D concrete printing (3DCP) enables fabrication of intricate architectures that mimic natural materials and augment desired mechanical and structural properties. This study presents a digital framework for fabricating fibre-reinforced concrete internal architectures via 3DCP on non-planar surfaces. Arched beams with Bouligand structures were printed, and their microstructures and mechanical properties
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Effect of Graphene Nanoplatelets on the Temperature Time-Delay Response of PCM-Enhanced Concrete in Subzero Climates Cement Concrete Comp. (IF 10.8) Pub Date : 2025-06-10 Muhammad Zeeshan Haider, Xinghan Jin, Syed Nayyar Raza Naqvi, Jong Wan Hu
This study investigates the thermal enhancement of phase change material (PCM) incorporated concrete using graphene nanoplatelets (GNPs) for low-temperature applications. While previous research has explored PCM-impregnated lightweight aggregates (PCM-LWAs) for thermal regulation in concrete, the low thermal conductivity and supercooling behavior of PCMs remain critical challenges. This study addresses
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Towards net-zero reinforced concrete: A critical review Cement Concrete Comp. (IF 10.8) Pub Date : 2025-06-10 Renjie Mi, Sripriya Rengaraju, Abir AI-Tabbaa
This paper reviews the efficiency of approximately 150 net-zero strategies for reinforced concrete, based on around 180 references. These strategies cover raw materials, manufacturing, transportation, construction, carbon calculation, standards, and projects/applications. The results show that CO2 emissions from cement can be reduced by 6% to 70% by developing low-carbon cement, such as geopolymer
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On-line monitoring of underground workings stability with use of innovative inclinometric method – Case study from Polish copper mines Tunn. Undergr. Space Technol. (IF 6.7) Pub Date : 2025-06-10 Lech Stolecki, Krzysztof Fuławka, Tomasz Osadczuk
The threat of loss of stability of underground workings is one of the most serious dangers accompanying underground mineral exploitation. Over the years, as the depth of the deposits increased and working conditions deteriorated, the scale of the threat increased, translating into a serious risk to the life and health of the mining crew. In order to increase work safety and at the same time ensure
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Investigation on the force transmission performance between segmental rings of super-large cross-section shield tunnels Tunn. Undergr. Space Technol. (IF 6.7) Pub Date : 2025-06-10 Wenqi Guo, Kun Feng, Haixing Mu, Jiaqi Li, Yili Zhou, Chuan He
With the development of shield tunnels towards larger cross-sections and more complex joint structures, the longitudinal–transverse coupling effect of segment structures has become increasingly significant. Assessing the force transmission effect between segmental rings is crucial for optimizing segment structures design. A full-scale loading test was conducted on staggered joint assembly segment structures