-
Perceptions of volume home builders and the transition to net zero emissions housing in Australia Build. Res. Inf. (IF 3.7) Pub Date : 2024-09-23 Turlough F. Guerin
This study investigated the transition to net-zero emissions (NZE) homes within the Australian volume home-building sector. A group of 18 stakeholders, including volume builders, greenfield develop...
-
Investigating building permit processes across Europe: characteristics and patterns Build. Res. Inf. (IF 3.7) Pub Date : 2024-09-17 Judith Fauth, Peter Nørkjær Gade, Stefanie Kaiser, Kavita Raj, Jonas Goul Pedersen, Per-Ola Olsson, Nicholas Nisbet, Silvia Mastrolembo Ventura, Antero Hirvensalo, José Granja, Harald Urban, Snežana Rutešić, Ruben Verstraeten, Christopher-Robin Raitviir, Anna-Riitta Kallinen, Christian Schranz, Trajche Stojanov, Jernej Tekavec
Building permit processes serve as crucial gatekeepers for urban development, regulating compliance with building codes, land use policies, and safety and environmental standards. However, their co...
-
Human-centered intelligent construction for sustainable cities Autom. Constr. (IF 9.6) Pub Date : 2024-09-21 Hyuna Kang, Hakpyeong Kim, Juwon Hong, Jaewon Jeoung, Minhyun Lee, Taehoon Hong
Automatic technologies are a developing trend in the construction industry and have emerged by leveraging intelligent technologies. In automated construction, a human-centered approach to construction management is crucial as it improves productivity, safety, and sustainability by focusing on the needs of construction workers and building occupants. Therefore, focusing on sustainable construction,
-
Automatic assessment of concrete cracks in low-light, overexposed, and blurred images restored using a generative AI approach Autom. Constr. (IF 9.6) Pub Date : 2024-09-21 Pengwei Guo, Xiangjun Meng, Weina Meng, Yi Bao
Deep learning-based computer vision techniques have high efficiency in assessing concrete cracks from images, and the assessment can be automated using robots for higher efficiency. However, assessment accuracy is often compromised by low-quality images. This paper presents a Conditional Generative Adversarial Network (CGAN)-based approach to restore low-light, overexposed, and blurred images. The
-
Tracking multiple construction workers using pose estimation and feature-assisted re-identification model Autom. Constr. (IF 9.6) Pub Date : 2024-09-21 Nasrullah Khan, Syed Farhan Alam Zaidi, Muhammad Sibtain Abbas, Doyeop Lee, Dongmin Lee
Tracking construction workers is crucial for ensuring worker safety, productivity, appropriate resource allocation, and regulatory compliance. However, when multiple workers resemble each other or temporary obstructions occur, maintaining accurate identification of individual workers with computer-vision-based tracking techniques is challenging. This paper proposes a multi-worker tracking framework
-
Anomaly detection of cracks in synthetic masonry arch bridge point clouds using fast point feature histograms and PatchCore Autom. Constr. (IF 9.6) Pub Date : 2024-09-21 Yixiong Jing, Jia-Xing Zhong, Brian Sheil, Sinan Acikgoz
Management of ageing masonry arch bridges entails periodic site inspections to identify signs of potential structural degradation. Previous research has focused on detecting surface cracks from images. This paper develops an alternative approach where cracks are identified from point clouds via geometric distortions. An image-based anomaly detection method called PatchCore is customized for 3D applications
-
Intelligent design of key joints in aerial building machine using topology optimization and generative adversarial network Autom. Constr. (IF 9.6) Pub Date : 2024-09-21 Zhuang Xia, Jiaqi Wang, Yongsheng Li, Limao Zhang, Changyong Liu
Joints are crucial connections in an aerial building machine (ABM), yet they often undergo experience-based local optimization design. This paper presents an intelligent design method for key joints in the ABM using a generative adversarial network (GAN), aiming to achieve new and superior global optimization schemes. A database of topology-optimized structures is fed into the boundary equilibrium
-
Characterization of mechanical properties of shale constituent minerals using phase‐identified nanoindentation Comput. Aided Civ. Infrastruct. Eng. (IF 8.5) Pub Date : 2024-09-21 Jianting Du, Ka‐Veng Yuen, Andrew J. Whittle, Liming Hu, Thibaut Divoux, Jay N. Meegoda
Characterization of mechanical properties of shale constituent minerals (viz., the mechanical genes of shale) has been challenging but of great significance for engineering applications in shale formations. In this study, a phase‐identified nanoindentation is proposed to decode the mechanical genes of shale using a large nanomechanical dataset. With the consideration of uniform prior probability density
-
Bolt loosening angle measurement along full range of screw exposure length based on 3D point cloud Autom. Constr. (IF 9.6) Pub Date : 2024-09-20 Shengyuan Li, Yushan Le, Jiachen Gao, Xian Li, Xuefeng Zhao
The existing two-dimensional (2D) vision-based bolt loosening measurement range is generally limited to 0–60°. To overcome this limitation, a bolt loosening angle measurement method along full range of screw exposure length based on three-dimensional (3D) point cloud is proposed. Initially, 3D point clouds of bolt groups were reconstructed using 2D images under 18 working conditions, and the 3D point
-
Multi-scalar robotic fabrication system for on-site press gluing in multi-storey timber buildings Autom. Constr. (IF 9.6) Pub Date : 2024-09-20 Nils Opgenorth, Daniel Nunes Locatelli, Samuel Leder, Hans Jakob Wagner, Achim Menges
The amount of timber construction has increased significantly in recent decades due to the development of digital processing technologies in prefabrication. However, on site, timber components are still commonly assembled manually and connected with low performance joint types. This paper presents a multi-storey timber building system with a co-designed heterogeneous multi-scalar robotic construction
-
Shaking table test study of a surface frame structure–sand–tunnel system Tunn. Undergr. Space Technol. (IF 6.7) Pub Date : 2024-09-20 Shasha Lu, Cheng Yang, Runbo Ma, Qikun Cao, Hong Xu, Dongxu Zhao, Hang Yin
The dynamic interaction between tunnels and adjacent buildings under seismic action is a complex issue in ensuring the earthquake resistance of modern infrastructure. The seismic response of an entire system poses significant challenges in the structural design and safe operation. To study the seismic response law of tunnels (single and double) passing below a surface frame structure containing a basement
-
Deep transfer learning method for detection of internal cavities in concrete-filled steel tube structural elements Tunn. Undergr. Space Technol. (IF 6.7) Pub Date : 2024-09-20 Xinyue Su, Xin Feng, Shilin Gong, Farhad Ansari
Concrete-filled steel tubes (CFSTs) are widely used as structural elements in civil engineering. However, their load-carrying capacities are jeopardized due to construction or materials-related formation of internal cavities. Fiber optic-based Brillouin thermography provides a promising approach to detecting CSFT cavities by identifying the anomalies in thermal grayscale images. A major challenge is
-
The impact of light adjustment versus tuneable white mode on ICU staff’s circadian rhythms Build. Res. Inf. (IF 3.7) Pub Date : 2024-09-17 María Teresa Aguilar-Carrasco, Ana Isabel Álvarez-López, Pedro Bustamante, Ana Isabel Álvarez Ríos, Samuel Domínguez-Amarillo
The significance of lighting design in intensive care units (ICUs) for healthcare professionals’ demanding work and its profound impact on health, visual comfort and overall well-being cannot be ov...
-
Effectiveness of alarm sounds in preventing operator habituation to auditory warnings in construction equipment Autom. Constr. (IF 9.6) Pub Date : 2024-09-19 Jeonghyeun Chae, Sungjoo Hwang, Youngcheol Kang
A proximity auditory warning (AW) system has been developed to mitigate accidents involving construction equipment blind spots. However, frequent AW sounds can lead to habituation among construction equipment operators, potentially reducing the system's effectiveness. This paper assessed the effectiveness of AW sounds in mitigating habituation. Twenty-one participants underwent a driving simulation
-
Vision-based construction robot for real-time automated welding with human-robot interaction Autom. Constr. (IF 9.6) Pub Date : 2024-09-19 Doyun Lee, Kevin Han
The construction industry is a major consumer of steel, with welding being a crucial aspect of steel fabrication. However, a shortage of welders has emerged as a significant issue. Therefore, the ultimate goal of this study is to develop a fully automated mobile robotic welding system. The preliminary paper presented a method for the automatic detection and alignment of various welding joints. Building
-
Automatic geometric digital twin of box girder bridge using a laser-scanned point cloud Autom. Constr. (IF 9.6) Pub Date : 2024-09-19 Jiangpeng Shu, Ziyue Zeng, Wenhao Li, Shukang Zhou, Congguang Zhang, Caie Xu, He Zhang
Geometric modeling is a pivotal step in creating a digital twin for existing bridge structures. Its deficiency of automation makes geometric modeling step time-consuming and laborious. This paper presents a solution for automatically modeling box girder bridges, including external and internal structures, based on laser-scanned point cloud. The solution includes three vital methods: component segmentation
-
Diagnosis of high‐speed railway ballastless track arching based on unsupervised learning framework Comput. Aided Civ. Infrastruct. Eng. (IF 8.5) Pub Date : 2024-09-19 Xueyang Tang, Yi Wang, Xiaopei Cai, Fei Yang, Yue Hou
Vehicle‐mounted detection methods have been widely applied in the maintenance of high‐speed railways (HSRs), providing feasibility for diagnosing ballastless track arching. However, applying detection data faces several key limitations: (1) The threshold mostly requires manual setting, making recognition accuracy highly subjective; (2) the extensive workload of manual inspections makes it challenging
-
Stresses induced in a buried corrugated metal arch culvert due to backfilling compaction efforts Tunn. Undergr. Space Technol. (IF 6.7) Pub Date : 2024-09-19 Islam Ezzeldin, Hany El Naggar, John Newhook
The use of flexible buried corrugated metal culverts (CMCs) for traffic and watercourses has recently expanded as a promising technique for shallow underground tunnelling. However, in the design of such structures it is challenging to mimic the performance of the mobilized soil-structure interaction. The backfilling process, with the use of compaction forces, can be considered the major loading mode
-
The effect of in-situ stress on blast-induced rock fracture and damage zone Tunn. Undergr. Space Technol. (IF 6.7) Pub Date : 2024-09-19 Qian Li, Haibo Li, Shuaiyang Fu, Xiaofeng Li
The pervasive demand for dynamic rock breakage has cast a new light on the potential challenges involved in blast-induced underground excavations with complex geological conditions. Due to the complexities and high-cost issues associated with field tests, the finite-discrete element method (FDEM) is adopted in this study to explore the evolution of blast-induced damage zone, including the extent of
-
Construction risk probability assessment of shield tunneling projects in karst areas based on improved two-dimensional cloud model Tunn. Undergr. Space Technol. (IF 6.7) Pub Date : 2024-09-19 Huaiyuan Sun, Yi Rui, Yanyun Lu, Yiming Dai, Xiang Wang, Xiaojun Li
Tunnel construction in karst areas presents significant risks due to the complex geological environment and inherent uncertainties. Existing risk assessment methods often struggle to adequately capture and quantify these uncertainties, leading to potentially inaccurate evaluations. This study addresses this gap by developing a novel risk assessment system specifically for shield tunnel engineering
-
Comprehensive review and future perspectives on prediction and mitigation of tunnel-induced ground settlement: A bibliometric analysis and methodological overview (2002–2022) Tunn. Undergr. Space Technol. (IF 6.7) Pub Date : 2024-09-19 Jian Zhou, Hongning Qi, Kang Peng, Yulin Zhang, Manoj Khandelwal
Predicting and controlling tunnel-induced ground settlement is crucial for ensuring safety and minimizing environmental impact. However, current research methods are varied, each with specific conditions and limitations, making a comprehensive review necessary. In this paper, 1209 research papers on tunnel-induced ground settlement (2002–2022) collected from the Web of Science Core Collection (WoSCC)
-
Seismic vulnerability analysis of hospitals and school buildings considering the Gaussian regression algorithm J. Build. Eng. (IF 6.7) Pub Date : 2024-09-19 Si-Qi Li, Peng-Fei Qin, Yi-Ru Li
This study combines the Gaussian regression algorithm to propose a nonlinear regression model that can be used to evaluate the seismic vulnerability of regional hospitals and school buildings. The failure features and disaster mechanisms of hospital and school buildings affected by the Jishishan (JSS) earthquake on December 18, 2023, and the Wenchuan (WC) earthquake on May 12, 2008, were reported.
-
Optimal control strategy for building HVAC systems: Satisfying flexible demand response with different value-based selection Energy Build. (IF 6.6) Pub Date : 2024-09-19 Yifu Sun, Qi Shen, Xiaohua Liu, Lei Zhang, Xin Li, Tao Zhang, Meishun Lin
Growing renewable energy integration leads to significant fluctuations in electricity generation. To address this challenge, market-based mechanisms for dynamic carbon emission factors and electricity prices are emerging, particularly in regions like China pursuing carbon neutrality. Buildings, with HVAC systems as the largest consumers, require flexible Demand Response (DR) strategies to balance these
-
Nonlinear creep consolidation of vertical drain-improved soft ground with time-dependent permeable boundary under linearly construction load Geotext. Geomembr. (IF 4.7) Pub Date : 2024-09-19 Penglu Cui, Hongyuan Fang, Fuming Wang, Wengui Cao, Xingyi Zhang, Bocheng Peng, Huixin Li, Shao Yue, Jiachao Zhang
This paper presents an upgraded nonlinear creep consolidation model for VDI soft ground, incorporating a modified UH relation to capture soil creep deformation. Key novelties also include considering linear construction loads, TDP boundary conditions, and Swartzendruber's flow in the small strain consolidation domain. The system was solved using the implicit finite difference method, and numerical
-
Voxel-based path-driven 3D concrete printing process simulation framework embedding interlayer behavior Autom. Constr. (IF 9.6) Pub Date : 2024-09-18 Baixi Chen, Xueqi Zhao, Xiaoping Qian
This paper introduces a numerical framework to model the 3D concrete printing process, considering critical factors, particularly the print path and interlayer interactions. Within this framework, a finite element model is automatically generated for an arbitrary 3D-printed object. This is achieved by voxelizing the bounding space, incorporating a zero-thickness interlayer cohesive zone, and pinpointing
-
A hybrid non‐parametric ground motion model of power spectral density based on machine learning Comput. Aided Civ. Infrastruct. Eng. (IF 8.5) Pub Date : 2024-09-18 Jiawei Ding, Dagang Lu, Zhenggang Cao
In the fields of engineering seismology and earthquake engineering, researchers have predominantly focused on ground motion models (GMMs) for intensity measures. However, there has been limited research on power spectral density GMMs (PSD‐GMMs) that characterize spectral characteristics. PSD, being structure‐independent, offers unique advantages. This study aims to construct PSD‐GMMs using non‐parametric
-
Automated quantification of crack length and width in asphalt pavements Comput. Aided Civ. Infrastruct. Eng. (IF 8.5) Pub Date : 2024-09-18 Zhe Li, Tuo Zhang, Yi Miao, Jiupeng Zhang, Mehran Eskandari Torbaghan, Yinzhang He, Jiasheng Dai
Rapid, accurate, and fully automated estimation of both length and width of asphalt pavement cracks, essential for achieving a proactive asset management, presents a significant challenge, primarily due to limitations in the effectiveness of automatic image segmentation and the accuracy of crack width and length estimation algorithms. To address this challenge, this paper introduces the Branch Growing
-
Cyclic seismic pushover testing of a multi-story underground station Tunn. Undergr. Space Technol. (IF 6.7) Pub Date : 2024-09-18 Zhuang Haiyang, Yang Jing, Tang Baizan, Liu Xuchen, Zhang Ji
The experimental approach is crucial for investigating the seismic performance and damage process of underground structures. Considering the shortcomings of the 1-g, centrifuge shaking table and monotonic displacement pushover tests, a large-scale cyclic displacement pushover test method is proposed based on the soil-underground structure dynamic interaction and seismic performance quantification system
-
Interface mechanical properties of CFRP-seawater sea sand concrete under simulated seawater immersion J. Build. Eng. (IF 6.7) Pub Date : 2024-09-18 Xiang Hu, Tianwen Bai, Yifan Zhao, Qiang Ren, Yang Chen, Huang Li, Caijun Shi
In this study, the interfacial mechanical properties of carbon fiber-reinforced polymer (CFRP) sheet reinforced seawater sea sand concrete (SSSC) in simulated seawater immersion environment were studied. The results present that the interface bearing capacity of CFRP-SSSC decreases significantly after seawater immersion. The decreasing rate increases greatly with the extending of immersion periods
-
Research on the hydration process of cemented coal gangue backfill based on radon monitoring J. Build. Eng. (IF 6.7) Pub Date : 2024-09-18 Linfei Wang, Guorui Feng, Tingye Qi, Haochen Wang, Siyuan Cheng, Tian Qiu, Hongtao Xu, Lubin Li
Backfill mining is a method in which coal gangue, fly ash, solid waste, and cement are used to make slurry backfilling materials while coal mining, and the cemented coal gangue backfill (CCGB) is transported to the underground to fill up the mining area. At present, the hydration mechanism is not clear and uniform. This study introduces a physical method that can be used to monitor the hydration of
-
BIM- and blockchain-enabled Automatic Procurement System (BBAPS) removing relationship bias Autom. Constr. (IF 9.6) Pub Date : 2024-09-17 Jong Han Yoon, Istiqlal Aurangzeb, Sean McNamara
In the subcontractor (Sub) procurement process, the General Contractor (GC) can seek potential Subs from a limited pool based on their past relationships. This challenges new subcontractors who are qualified for the project but lack prior relationships with the GC. Furthermore, it creates a relationship bias that impedes the creation of a constructive business environment where potential Subs are encouraged
-
Deep learning-based intelligent detection of pavement distress Autom. Constr. (IF 9.6) Pub Date : 2024-09-17 Lele Zheng, Jingjing Xiao, Yinghui Wang, Wangjie Wu, Zhirong Chen, Dongdong Yuan, Wei Jiang
The intelligent detection of pavement distress using deep learning methods has consistently been a hotspot in pavement maintenance. This paper aims to offer new insights to promote research and application in this field through bibliometric analysis. Utilizing publications from the Web of Science Core Collection spanning from 2016 to 2024 as the database, this paper conducts a systematic analysis of
-
Techniques and strategies in extrusion based 3D concrete printing of complex components to prevent premature failure Autom. Constr. (IF 9.6) Pub Date : 2024-09-17 Abdallah Kamhawi, Mania Aghaei Meibodi
Extrusion based 3D Concrete Printing (E-3DCP) is a rapidly growing method of construction due to its ability to manufacture bespoke architectural and structural elements without incurring the additional time and costs typically associated with the manufacturing of the formwork of these components. However, Complex geometries such as overhangs, bridges, and cantilevers pose significant challenges to
-
Intelligent ergonomic optimization in bimanual worker-robot interaction: A Reinforcement Learning approach Autom. Constr. (IF 9.6) Pub Date : 2024-09-17 Mani Amani, Reza Akhavian
Robots have the potential to enhance safety on construction job sites by assuming hazardous tasks. While existing safety research on physical human-robot interaction (pHRI) primarily addresses collision risks, ensuring inherently safe collaborative workflows is equally important. For example, ergonomic optimization in co-manipulation is an important safety consideration in pHRI. While frameworks such
-
Corrigendum to “Cooperative control of a platoon of connected autonomous vehicles and unconnected human‐driven vehicles” Comput. Aided Civ. Infrastruct. Eng. (IF 8.5) Pub Date : 2024-09-17
Zhou A, Peeta S, Wang J. Cooperative control of a platoon of connected autonomous vehicles and unconnected human-driven vehicles. Computer-Aided Civil and Infrastructure Engineering. 2023;38(18): 2513–2536. In the “Funding Information” section, the text “National Key Research and Development Program of China, Grant/Award Number: 2018YFE0102700.” was incorrect. This should have read: “National Key Research
-
A relaxation‐based Voronoi diagram approach for equitable resource distribution Comput. Aided Civ. Infrastruct. Eng. (IF 8.5) Pub Date : 2024-09-17 Kuangying Li, Asya Atik, Dayang Zheng, Leila Hajibabai, Ali Hajbabaie
This paper introduces a methodology designed to reduce cost, improve demand coverage, and ensure equitable vaccine distribution during the initial stages of the vaccination campaign when demand significantly exceeds supply. We formulate an enhanced maximum covering problem as a mixed integer linear program, aiming to minimize the total vaccine distribution cost while maximizing the allocation of vaccines
-
Data‐driven model for seismic assessment, design, and retrofit of structures using explainable artificial intelligence Comput. Aided Civ. Infrastruct. Eng. (IF 8.5) Pub Date : 2024-09-17 Khurram Shabbir, Mohamed Noureldin, Sung‐Han Sim
Retrofitting building designs is crucial given the global aging infrastructure and increased in frequency of natural hazards like earthquakes. While traditional data‐driven models are widely used for predicting building conditions, there has been limited exploration of recent artificial intelligence (AI) techniques in structural design. This study introduces a novel explainable AI framework that utilizes
-
Quantitative interrelations of conditioning and recycling indices of high-saturation clay soils for EPB shield tunnelling Tunn. Undergr. Space Technol. (IF 6.7) Pub Date : 2024-09-17 Yao Lu, Ming Huang, Fengwen Lai, Chaoshui Xu, Liqian Peng
It is widely recognized that the improvement effects of the foam on the soil properties during earth pressure balance shield (EPBS) tunnelling can be well characterized by some conditioning evaluation indices such as shear strength, flowability, and compressibility. The number of EPBS has increased significantly worldwide in the past few decades. Consequently, recycling the EPBS muck wastes for other
-
Parameter analysis of a novel bilinear hysteretic rubber-shearing device for vertical seismic isolation of multistory frame structures J. Build. Eng. (IF 6.7) Pub Date : 2024-09-17 Yifeng Wu, Yanzhao Liu, Aiqun Li, Jiangdi Fu, Ruijun Zhang, Song Lu, Junfeng Lu
Employing seismic isolation technology to control the vertical seismic responses of structures is a challenging and critical issue that needs to be addressed. In this paper, a rubber shear device (RSD) is introduced and its working mechanism under the combined effect of gravity and vertical ground motion is analyzed, the bilinear model is utilized to characterize the device's vertical mechanical behavior
-
Shaking table test of a full-scale lightweight bolt-connected concrete sandwich wall panel structure: Overview and seismic analyses J. Build. Eng. (IF 6.7) Pub Date : 2024-09-17 Yuhao Wang, Ye Liu, Feng Xiong, Chaoyang Zheng, Qi Ge, Yu Bian
This study proposed a novel lightweight bolt-connected concrete sandwich wall panel structure with the advantages of thermal insulation, construction efficiency, demountability and remountability. The seismic design of the structure was employed a non-equivalent cast-in-place method, resulting in appropriate configurations of horizontal and vertical bolted joints. Subsequently, a shaking table test
-
The preparation and axial compressive properties of 3D-printed polymer lattice-reinforced cementitious composite columns J. Build. Eng. (IF 6.7) Pub Date : 2024-09-17 Can Tang, Junwei Liu, Jing Qiao, Yuanyuan Wei, Changheng Shi, Wenfeng Hao
Research on the mechanical properties of 3D-printed lattice-reinforced cementitious materials is becoming increasingly widespread. The bending and compression performances of such materials have been studied from the perspectives of the lattice preparation materials, structural forms, gradient design, and cement-based material types. The extant research has primarily focused on the bending performance
-
Radon emission characteristics and pore structure evolution of self-compacting concrete with silica fume-molybdenum tailings under different curing environments J. Build. Eng. (IF 6.7) Pub Date : 2024-09-17 Cheng Hua, Ran Tang, Xiaochun Lu
Reducing the radon emission rate on the surface of self-compacting concrete prepared from industrial solid waste is crucial to lowering the risk of human lung cancer. This study prepared four types of self-compacting concrete with a composite cementitious system of silica fume and molybdenum tailings. The effects of various curing temperatures (0 °C, 20 °C, 40 °C, and 60 °C) and amounts of molybdenum
-
Mechanical properties and chloride resistance of ultra-high-performance seawater sea-sand concrete with limestone and calcined clay cement (UHPSSC-LC3) under various curing conditions J. Build. Eng. (IF 6.7) Pub Date : 2024-09-17 Yue Huang, Junhui Wang, Yucai Jing, Guotao Yang, Jun Song, Weijie You, Xiaoyang Liu
Although the application of ultra-high performance seawater sea-sand concrete with limestone calcined clay cement (UHPSSC-LC3) provides a promising solution for sustainable marine structures, research on the mechanical properties of UHPSSC-LC3 is quite limited, and no research has been conducted on its chloride resistance performance. In this study, the effect of four curing regimes (i.e. standard
-
Thermal environment analysis and parameters optimization of a novel hot-air phase change heating bed J. Build. Eng. (IF 6.7) Pub Date : 2024-09-17 Wenjie Zhou, Tao Li, Junyong Yu, Wentao Zhu, Min Chen, Lamei Liu, Qianjun Mao
Maintaining indoor heating consumes significant energy; personalized heating can reduce this consumption. Existing bed-based heating devices have drawbacks in terms of temperature distribution and susceptibility to weather influences. In this paper, a hot-air phase change heating bed (HAPCHB) is proposed, which can heat the indoor thermal environment during the day and the bedding thermal environment
-
Evaluation of the influence of climatic changes on the degradation of the historic buildings Energy Build. (IF 6.6) Pub Date : 2024-09-17 Vitoria R.F. Pinheiro, Rafael Fontenele, Allan Magalhães, Naggila Frota, Esequiel Mesquita
While climatic change has been a widely studied topic, its impact on cultural heritage degradation remains a gap to overcome. The environment can contribute to the degradation of historic buildings and materials decay, especially temperature and humidity. So, characterizing the micro-climates of a landmark zone and understanding the influence of the recovery layers, building disposition, and street
-
Personalized federated learning for buildings energy consumption forecasting Energy Build. (IF 6.6) Pub Date : 2024-09-17 Rui Wang, Ling Bai, Rakiba Rayhana, Zheng Liu
Buildings' energy consumption forecasting is critical for energy saving and building maintenance. However, most studies only focus on centralized learning of one dataset, which ignores the data privacy and data shortage issue. Meanwhile, the difference in energy data distributions from many buildings causes difficulties in training a good machine learning model. Although these two challenges of data
-
Microstructural characteristics and prediction of hydraulic properties of geotextile envelopes via image analysis and pore network modeling Geotext. Geomembr. (IF 4.7) Pub Date : 2024-09-17 Hang Li, Jingwei Wu, Chenyao Guo, Haoyu Yang, Zhe Wu, Shuai Qin
In this study, the microstructural characteristics of geotextile envelopes were investigated via two-dimensional (2D) and three-dimensional (3D) image analysis. A pore network model was constructed to predict the hydraulic properties of the geotextile envelopes. Based on image analysis, the representative domain size of the geotextile envelopes was estimated and was further confirmed by pore network
-
Characteristics of electro-osmosis consolidation and resistivity evolution in soft clay reinforced with recycled carbon fibers Geotext. Geomembr. (IF 4.7) Pub Date : 2024-09-17 Guanyu Chen, Lingwei Zheng, Xunli Zhang, Guoqiang Wu, Cheng Feng, Xudong Zheng, Xinyu Xie
This study repurposed discarded carbon fiber fabric by mechanically cutting it into short-cut carbon fibers and utilized these fibers in electro-osmosis experiments with varying lengths (5 mm, 10 mm, and 15 mm) and mixing ratios (0.05%, 0.10%, and 0.25%). The results indicated that increasing the length and mixing ratio of recycled carbon fibers effectively reduced the soil resistivity. Furthermore
-
Digital twin non-fungible token (DT-NFT): Enabling data ownership in the AEC industry Autom. Constr. (IF 9.6) Pub Date : 2024-09-16 Hossein Naderi, Alireza Shojaei
The Architecture, Engineering, and Construction (AEC) industry has experienced an unprecedented surge in data growth, primarily propelled by the widespread adoption of digitalization technologies, including Digital Twins (DTs). This surge poses challenges in terms of data control and ownership. To address this, this paper presents a decentralized platform using blockchain-enabled dynamic Non-Fungible
-
BIM-based mixed reality application for bridge inspection Autom. Constr. (IF 9.6) Pub Date : 2024-09-16 Ana Carolina Pereira Martins, Isabele Rocha Castellano, Kléos Magalhães Lenz César Júnior, José Maria Franco de Carvalho, Fernando Gussão Bellon, Diôgo Silva de Oliveira, José Carlos Lopes Ribeiro
Traditional bridge inspection methods have limitations, driving the need for advanced techniques. The primary objective of this paper is to explore and evaluate the potential of combining Mixed Reality (MR) technologies with Building Information Modeling (BIM) and damage information to overcome these challenges. The paper aims to improve communication, collaboration, and the accuracy of structural
-
Laboratory investigation of rock pillar reinforcement against impact loading by using high-tensile-strength polyurea with different coating thicknesses Tunn. Undergr. Space Technol. (IF 6.7) Pub Date : 2024-09-16 Bobin Hou, Haozhe Xing, Songlin Yue, Pengxian Fan, Yanyu Qiu, Mingyang Wang
Thin spray-on liners (TSLs) have been widely adopted in underground mining as rock support materials owing to their notable tensile strength, elongation capability, and bond strength with rock surfaces. In this study, to evaluate the reinforcing capacity of a high-tensile-strength polyurea-based TSL on rock pillars subjected to dynamic loads, a series of compression, impact, and compression-after-impact
-
Evaluation of basalt fibers and nanoclays to enhance extrudability and buildability of 3D-printing mortars J. Build. Eng. (IF 6.7) Pub Date : 2024-09-16 Hugo Varela, Gonzalo Barluenga, Mohammed Sonebi
A study of the rheological and fresh mechanical properties of fly ash-cement 3D printing (3DP) mortars with six types of nanoclays (NC) as rheology modifiers, two sepiolites, three attapulgites and one bentonite, and reinforced with short basalt fibers (BF) was carried out. Fresh mortar properties were evaluated with a flow table test (FTT), cylindrical slump test (CST) and cone-penetration test (CPT)
-
Study of freeze-thaw deterioration of saturated and unsaturated hydraulic concrete based on measured strain J. Build. Eng. (IF 6.7) Pub Date : 2024-09-16 Yaoying Huang, Chengyu Shao, Zhengyuan Yu, Haidong Wei, Zepeng Li, Zhaohui Zhu
In actual concrete water projects, areas such as the back surface, above-water surface, and even areas where the water level fluctuates are in the unsaturated freeze-thaw state. The complexity of freeze-thaw tests of unsaturated hydraulic concrete has thus far prevented a sound understanding of the mechanisms at work in freeze-thaw deterioration of unsaturated hydraulic concrete. Given this situation
-
Mechanical performance and reinforcing mechanisms of foamed concrete strengthened by carbon fibers J. Build. Eng. (IF 6.7) Pub Date : 2024-09-16 Zuxiang Lei, Qingqiang Li, Yuhang Zhou, Binbin Yin
Foamed concrete (FC) is a lightweight and environmentally friendly building material that offers versatile applications in civil engineering. However, FC is inherently weak in withstanding tensile and compressive loads. While incorporating fibers into FC has been shown to resist crack propagation and enhance its mechanical properties, the specific mechanisms through which carbon fibers affect FC's
-
Dynamic damage behavior of auxetic textile reinforced concrete under impact loading J. Build. Eng. (IF 6.7) Pub Date : 2024-09-16 Yanxuan Ma, Yun Zhang, Peng Wang, Jin Liu, Zhipeng Zhang, Shuaifei Wang, Yuhua Gao, Meiyu Li
To investigate the dynamic compression behavior of Textile-reinforced concrete (TRC) under impact load, low speed and high speed impact tests were performed using a ball drop test and a split Hopkinson pressure bar (SHPB) with ϕ50mm, respectively. In view of the advantages of auxetic materials in impact resistance and energy absorption, the auxetic fiber preforms with negative Poisson's ratio effect
-
Investigating the influence of coarse aggregate characteristics and fiber dispersion on the flexural performance of ultra-high performance concrete (UHPC) J. Build. Eng. (IF 6.7) Pub Date : 2024-09-16 Chen Shen, Huan Wang, Desha Tang, Zhaoqiu Lyu, Hong Zhang, Linwen Yu, Changhui Yang
The flexural properties of ultra-high performance concrete containing coarse aggregate (UHPC-CA) strongly depend on the characteristics of coarse aggregates and the dispersion of fibers. However, the impact of the interaction between coarse aggregate and steel fibers on the bending performance of UHPC-CA is not well-understood. This study investigated the four-point bending properties of UHPC-CA to
-
Comparing multiple linear regression and neural network models for predicting heating energy consumption in school buildings in the Federation of Bosnia and Herzegovina J. Build. Eng. (IF 6.7) Pub Date : 2024-09-16 Dragan Katić, Hrvoje Krstić, Irena Ištoka Otković, Hana Begić Juričić
During the design of buildings in the preliminary stages of preparing project documentation and for the purpose of analysing the overall life cycle costs of buildings, particularly in the evaluation of alternative design solutions, there is often need for a rapid and straightforward assessment of thermal energy consumption expenditures. To fulfil this requirement, it is essential to develop new and
-
-
Optimization for the temperature range of radiator for preventing draught risk of cold window Energy Build. (IF 6.6) Pub Date : 2024-09-16 Qing Wu, Wenhao Xu, Yunlong Zhu, Jing Liu
High surface temperature of radiator can provide thermal plume with enough momentum intensity and thus counteracts the downdraft caused by window. Meanwhile, it is necessary to avoid causing indoor temperature to exceed upper limit of thermal comfort zone. In this paper, influence of heat transfer coefficients of window and exterior wall, outdoor temperature, and average surface temperature of radiator
-
The impact of energy prices in decarbonizing buildings’ energy use in the EU27 Energy Build. (IF 6.6) Pub Date : 2024-09-16 Ece Özer, Lukas Kranzl, Andreas Müller, Behnam Zakeri
The recent surge in end-use energy prices in the EU has intensified the debate on how price signals influence the decarbonization of the building sector, a key contributor to global energy consumption and emissions. This study investigates the role of energy price signals in driving the decarbonization of the EU-27 building sector using the Invert/EE-Lab model to simulate various scenarios up to 2050