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High-resolution infrastructure defect detection dataset sourced by unmanned systems and validated with deep learning Autom. Constr. (IF 10.3) Pub Date : 2024-04-18 Benyun Zhao, Xunkuai Zhou, Guidong Yang, Junjie Wen, Jihan Zhang, Jia Dou, Guang Li, Xi Chen, Ben M. Chen
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Sustainability and building information modelling: Integration, research gaps, and future directions Autom. Constr. (IF 10.3) Pub Date : 2024-04-17 Saeed Akbari, Moslem Sheikhkhoshkar, Farzad Pour Rahimian, Hind Bril El Haouzi, Mina Najafi, Saeed Talebi
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Material augmented semantic segmentation of point clouds for building elements Comput. Aided Civ. Infrastruct. Eng. (IF 9.6) Pub Date : 2024-04-17 Houhao Liang, Justin K. W. Yeoh, David K. H. Chua
Point clouds are utilized to enable automated engineering applications for their ability to represent spatial geometry. However, they inherently lack detailed surface textures, posing challenges in differentiating objects at the texture level. Hence, this study introduces a 2D–3D fusing approach, leveraging material properties recognized from registered images as an augmented feature to enhance deep
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An efficient Bayesian method with intrusive homotopy surrogate model for stochastic model updating Comput. Aided Civ. Infrastruct. Eng. (IF 9.6) Pub Date : 2024-04-16 Hui Chen, Bin Huang, Heng Zhang, Kaiyi Xue, Ming Sun, Zhifeng Wu
This paper proposes a new stochastic model updating method based on the homotopy surrogate model (HSM) and Bayesian sampling. As a novel intrusive surrogate model, the HSM is established by the homotopy stochastic finite element (FE) method. Then combining the advanced delayed‐rejection adaptive Metropolis–Hastings sampling technology with HSM, the structural FE model can be updated by uncertain measurement
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Integrated corridor management by cooperative traffic signal and ramp metering control Comput. Aided Civ. Infrastruct. Eng. (IF 9.6) Pub Date : 2024-04-16 Abdullah Al Farabi, Rasool Mohebifard, Ramin Niroumand, Ali Hajbabaie, Mohammed Hadi, Lily Elefteriadou
This paper formulates a cooperative traffic control methodology that integrates traffic signal timing and ramp metering decisions into an optimization model to improve traffic operations in a corridor network. A mixed integer linear model is formulated and is solved in real time within a model predictive controller framework, where the cell transmission model is used as the system state predictor.
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Experimental and numerical investigation of a real-scale air to multiple PCM heat exchanger J. Build. Eng. (IF 6.4) Pub Date : 2024-04-16 Bashir Eskander Kareem, Ahmed Mohammed Adham, Banipal Nanno Yaqob
Energy consumption by residential sectors has proliferated due to urbanization and lifestyle changes. Passive cooling and heating systems can reduce energy consumption and CO emissions in residential and commercial sectors. Phase change materials provide an efficient solution for passive energy storage, addressing a building's needs for free cooling and heating. These materials absorb and release heat
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Design and optimization of double-layer structure for improved electromagnetic wave absorbing characteristic of single-layer foam cement-based materials containing carbon black J. Build. Eng. (IF 6.4) Pub Date : 2024-04-16 Huawei Li, Muwang Wei, Yuying Song, Rong Wang, Feiyu Liu, Feng Liu
Electromagnetic wave (EMW) absorbing properties are increasingly needed in cement-based materials; however, lightweight and broadband absorption properties are challenging to realize. This study aims to create lightweight, broadband, and highly efficient EMW-absorbing materials by investigating a foam cement-based material with single- and double-layer structures containing carbon black (CB). The results
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The study on uniaxial compression constitutive model of shape memory alloy fiber-reinforced concrete J. Build. Eng. (IF 6.4) Pub Date : 2024-04-16 Mingfang Shi, Guangping Xu, Jitao Zhao, Lidan Xu, Jiaqi Yuan, Ming Chen
The use of shape memory alloy (SMA) fiber can not only improve the compressive strength of concrete but also make it have a unique self-recovery function. In this paper, the uniaxial compression test of shape memory alloy fiber reinforced concrete (SMA-FRC) was carried out. The effect of fiber content and temperature on compressive strength was investigated. The predictive and constitutive models for
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Improving the efficiency of the trombe wall by integrating multi-fold glazing and sustainable materials: Ifrane, Morocco as a case study J. Build. Eng. (IF 6.4) Pub Date : 2024-04-16 Hasna Oukmi, Badr Chegari, Ouadia Mouhat, Mohamed Rougui, Mohammed EL. Ganaoui, Marwane Cherkaoui
The Trombe wall is renowned for its effectiveness in passive heating during winter, but it can lead to overheating in summer. To address this issue, this study investigates a Trombe wall with fully opening glazing during the summer season, employing multi-fold glazing. The research, conducted in Ifrane, Morocco, focuses on a residential building using the Conduction Finite Difference Method within
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Experimental and theoretical study on flexural behavior of prestressed concrete beams strengthened by CFRP tendons with external unbonded retrofit system J. Build. Eng. (IF 6.4) Pub Date : 2024-04-16 Longlong Chen, Xuhong Qiang, Peiyu Sun, Shiyou Zhang, Xu Jiang
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Image augmentation for nondestructive testing in engineering structures based on denoising diffusion probabilistic model J. Build. Eng. (IF 6.4) Pub Date : 2024-04-16 Wei Shen, Dongyang Zeng, Yang Zhang, Xi Tian, Ziqi Li
The performance of data-driven deep learning models relies on the quantity and quality of training data available. The scarcity of data in structural damage detection having been an important restriction for its rapid development. An image data augmentation method based on the denoising diffusion probabilistic model (DDPM) is proposed to focusing on structural damage detection task in this study. This
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Durability study of seawater and sea-sand concrete under the combined effects of carbonation and chloride redistribution J. Build. Eng. (IF 6.4) Pub Date : 2024-04-16 Yongqiang Li, Wei Liu, Tangwei Mi, Xiaobo Ding, Luping Tang, Feng Xing
This study presents experimental and numerical investigations to comprehensively assess the impact of carbonation on the durability of chloride-blended seawater and sea-sand concrete. It reveals that carbonation leads to a reduction in pH and results in chloride redistribution along the carbonation depth. The microstructure of concrete after carbonation exhibits increased compaction, reduced porosity
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Assessing the influence of external curing on the early drying shrinkage of ultra-high-performance concrete J. Build. Eng. (IF 6.4) Pub Date : 2024-04-16 Yang Du, Yanwei Zang, Xiaogang Li, Yi Li, Weiyong Wen, Shaoqin Ruan
Early drying shrinkage significantly impacts UHPC's cracking risks and structural stability in practical applications. This study uses a simulated curing system to explore how different external curing durations affect UHPC's early drying shrinkage, as well as its hydration degree and pore structures. The objective is to correlate pore sizes with shrinkage behaviors of UHPC under varying curing durations
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Void geometry analysis and multifaceted characterisation of cementitious mortar reinforced with short carbon and glass fibres – A comparative study J. Build. Eng. (IF 6.4) Pub Date : 2024-04-16 Y. Tao, S.A. Hadigheh, Z. Wang
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Temperature dependence of concrete drying and a method for estimating the effect of temperature on the relative humidity in concrete pores J. Build. Eng. (IF 6.4) Pub Date : 2024-04-16 Pauli Sekki, Petteri Huttunen, Timo Karvinen, Juha Vinha
In northern climates, the drying temperature of concrete floors under construction can range from 5 °C to 60 °C, covering average outdoor temperatures and potential increases to enhance drying. Given that the internal relative humidity (RH) of concrete is temperature-dependent, its effect on RH should be considered to eliminate the risk of moisture damage. The hygrothermic coefficient , which characterizes
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Determination of the trend and spatial distribution of microbial levels based on space and occupant characteristics J. Build. Eng. (IF 6.4) Pub Date : 2024-04-16 Dahae Seong, Mark H. Weir, Shamia Hoque
For buildings to move beyond the conventional criteria of comfort, we require more metrics and tools to design spaces that enhance health and safety where microbes play a significant role. The knowledge gaps that exist with respect to the indoor environment and microbes mean we have not been able to monitor microbial health in real time or inform building design to create infection-resilient indoor
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Computer vision in drone imagery for infrastructure management Autom. Constr. (IF 10.3) Pub Date : 2024-04-15 Naveed Ejaz, Salimur Choudhury
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Towards innovative and sustainable buildings: A comprehensive review of 3D printing in construction Autom. Constr. (IF 10.3) Pub Date : 2024-04-15 Habibelrahman Hassan, Edwin Rodriguez-Ubinas, Adil Al Tamimi, Esra Trepci, Abraham Mansouri, Khalfan Almehairbi
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Traffic prediction via clustering and deep transfer learning with limited data Comput. Aided Civ. Infrastruct. Eng. (IF 9.6) Pub Date : 2024-04-15 Xiexin Zou, Edward Chung
This paper proposes a method based on the clustering algorithm, deep learning, and transfer learning (TL) for short‐term traffic prediction with limited data. To address the challenges posed by limited data and the complex and diverse traffic patterns observed in traffic networks, we propose a profile model based on few‐shot learning to extract each detector's unique profiles. These profiles are then
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A lightweight Transformer‐based neural network for large‐scale masonry arch bridge point cloud segmentation Comput. Aided Civ. Infrastruct. Eng. (IF 9.6) Pub Date : 2024-04-15 Yixiong Jing, Brian Sheil, Sinan Acikgoz
Transformer architecture based on the attention mechanism achieves impressive results in natural language processing (NLP) tasks. This paper transfers the successful experience to a 3D point cloud segmentation task. Inspired by newly proposed 3D Transformer neural networks, this paper introduces a new Transformer‐based module, which is called Local Geo‐Transformer. To alleviate the heavy memory consumption
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Analyzing recent active and passive cool roofing technology in buildings, including challenges and optimization approaches J. Build. Eng. (IF 6.4) Pub Date : 2024-04-15 Ho Mun Ling, Ming Chian Yew, Ming Kun Yew, Lip Huat Saw
The escalating ambient temperatures are exacerbating indoor temperatures in every building. Within each building, the roofing system functions as the primary heat absorber. Traditionally, roofing systems were designed to protect physical assets. Given the rising demand for indoor quality, there is a growing need for roofing systems equipped with sustainable cooling features, namely cool roofing technology
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Techno-economic analysis of grid-connected PV and second-life battery systems for net-zero energy houses J. Build. Eng. (IF 6.4) Pub Date : 2024-04-15 Özgür Özcan, A. Can Duman, Ömer Gönül, Önder Güler
Net-zero energy houses (ZEHs) rely on energy-efficient building design and the incorporation of distributed generation and battery energy storage units. Nevertheless, two primary concerns arise: high investment cost of these units and harmful environmental impact of batteries. Using second-life batteries can overcome these concerns by reducing the cost of photovoltaic (PV)-battery systems and mitigating
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Investigation on chloride releasing from coral aggregates to cement paste in coral aggregate concrete J. Build. Eng. (IF 6.4) Pub Date : 2024-04-15 Siyu Lin, Junjie Wang, Kefei Li, Bo Ran, Lei Xu, Rong Huang, Huiyu Tang, Zhe Ye
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Freezing-thawing durability and chemical characteristics of air-entrained sustainable concrete incorporated high-calcium fly ash in high-volume J. Build. Eng. (IF 6.4) Pub Date : 2024-04-15 Dinil Pushpalal, Sunjidmaa Danzandorj, Bayarjavkhlan Narantogtokh, Tomoya Nishiwaki, Uuganbayar Sashka, Saruulbuyan Erdenebat, Chuluunbaatar Sambuu
This study purposed to find the maximum fly ash replacement ratio, which can provide guaranteed freezing and thawing durability if the air is appropriately entrained, as well as an understanding of how increments of fly ash replacement influence the hydration products. Compressive strength and freezing-thawing durability were measured on concrete specimens. X-ray diffraction, thermogravimetric analysis
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Numerical modelling on moisture and sulfate ion transport in unsaturated concrete slab under dry-wet cycles J. Build. Eng. (IF 6.4) Pub Date : 2024-04-15 Guang-Ji Yin, Lin-Bin Li, Xiao-Dong Wen, Ling Miao, Sai-Sai Wang, Xiao-Bao Zuo
The spatio-temporal evolution of sulfate ion in concrete is important for the durability assessment of the structures under external sulfate attack (ESA) and dry-wet cycles. In this paper, the transport behavior of moisture and sulfate ion in unsaturated concrete under dry-wet cycles is numerically simulated. Firstly, the time-varying equation of sulfate ion concentration in concrete is firstly established
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Numerical investigation of the performance improvement of instantaneous gas water heater by introducing new geometries for the heat exchanger J. Build. Eng. (IF 6.4) Pub Date : 2024-04-15 Alireza Parsaei, Koorosh Goudarzi
Tankless gas water heaters are known for their efficient energy consumption, as they only heat water on demand, resulting in reduced energy usage compared to traditional storage tank water heaters. A typical water heater uses a U-shaped heat exchanger. To enhance the performance of instantaneous gas water heaters, as well as reduce energy consumption and save energy in residential buildings, a numerical
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Enhancing the hygrothermal performance of corn cob residue-based eco-friendly building materials through biochar and microencapsulated phase change material incorporation J. Build. Eng. (IF 6.4) Pub Date : 2024-04-15 Ji Yong Choi, Jihee Nam, Hyeonseong Yuk, Sungwoong Yang, Sumin Kim
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Prohibiting pure and saline water infiltration into organic-nano-coated calcium silicate hydrates surface: A nanoscale mechanisms analysis J. Build. Eng. (IF 6.4) Pub Date : 2024-04-14 Xiao-Dong Zhu, Ali Zaoui, W. Sekkal
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Convolutional neural network-based model for recognizing TBM rock chip gradation Autom. Constr. (IF 10.3) Pub Date : 2024-04-13 Yuan-en Pang, Xu Li, Zi-kai Dong, Qiu-ming Gong
A tunnel boring machine (TBM) generates rock chips during excavation, which are crucial for assessing surrounding rock integrity, enhancing excavation efficiency, and evaluating cutter wear. However, traditional methods struggle to identify small rock chips, chips submerged in soil or water, and chips in stacked states. This paper proposes a convolutional neural network (CNN)-based method for directly
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Cascade refinement extraction network with active boundary loss for segmentation of concrete cracks from high-resolution images Autom. Constr. (IF 10.3) Pub Date : 2024-04-13 Lu Deng, Huaqing Yuan, Lizhi Long, Pang-jo Chun, Weiwei Chen, Honghu Chu
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Utilizing synthetic images to enhance the automated recognition of small-sized construction tools Autom. Constr. (IF 10.3) Pub Date : 2024-04-12 Soeun Han, Wonjun Park, Kyumin Jeong, Taehoon Hong, Choongwan Koo
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Data‐driven out‐of‐order model for synchronized planning, scheduling, and execution in modular construction fit‐out management Comput. Aided Civ. Infrastruct. Eng. (IF 9.6) Pub Date : 2024-04-12 Yishuo Jiang, Mingxing Li, Benedict Jun Ma, Ray Y. Zhong, George Q. Huang
Fit‐out operations in modular construction exhibit unique features, such as limited room space and diversly distributed operations in the building. These features pose significant challenges to planning, scheduling, and execution (PSE) of fit‐out activities due to operational parallelism, distributional diversity, and narrower constrained time window in modular construction. Hence, logistics‐operation
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A review of the role of lightweight aggregates in the development of mechanical strength of concrete J. Build. Eng. (IF 6.4) Pub Date : 2024-04-12 Jan Fořt, Ayodele Afolayan, Igor Medveď, Lenka Scheinherrová, Robert Černý
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Analyzing energy performance in American low income households: A DataDriven approach with machine learning insights J. Build. Eng. (IF 6.4) Pub Date : 2024-04-12 Sorena Vosoughkhosravi, Shaya Sheikh, Ehsan Kamel, Amirhosein Jafari
The energy burden within low-income households presents a significant societal challenge that necessitates a thorough understanding for developing effective and sustainable policies. However, very few studies analyze and model energy-related factors among low-income individuals. Thus, this study critically investigates the relationship between various buildings' characteristics and four distinct energy-related
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Analysis of structural integrity through the combination of non-destructive testing techniques in heritage inspections: The study case of San Segundo's hermitage (Ávila, Spain) J. Build. Eng. (IF 6.4) Pub Date : 2024-04-12 Mercedes Solla, Miguel Ángel Maté-González, Cristina Sáez Blázquez, Susana Lagüela-López, Ignacio Martín Nieto
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A systematic review on studies of thermal comfort in building transitional space J. Build. Eng. (IF 6.4) Pub Date : 2024-04-12 Guoying Hou, Xuanyi Zhai, Yiming Kuai, Ping Shu, Ping Zhang, Shen Wei
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How to promote carbon emission reduction in buildings? Evolutionary analysis of government regulation and financial investment J. Build. Eng. (IF 6.4) Pub Date : 2024-04-12 Wei Wang, Shaojie Hao, Hua Zhong, Zhi Sun
Buildings account for a significant portion of global carbon emissions, necessitating strategies to accelerate decarbonisation in the construction sector. This research aims to analyse the behavioural strategies and interactions among governments, construction enterprises, and financial institutions in promoting building carbon emission reduction (CER) through an integrated regulatory and market-driven
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Mitigating train-induced building vibrations with rubber bearings designed for horizontal earthquake isolation J. Build. Eng. (IF 6.4) Pub Date : 2024-04-12 Chunhui Wang, Jian Wang, Hao Chen, Jinping Ou
As rail transportation, including high-speed railways and urban metros, rapidly expands, its proximity to residential areas decreases, raising concerns about ground-borne vibrations. This study investigates the main characteristics of ground-borne vibrations induced by high-speed railways and metros through substructure method based on 2.5D FEM-MFS (finite element method-the method of fundamental solutions)
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Multi-domain adaptive analysis of intelligent compaction measurement value for subgrade construction Autom. Constr. (IF 10.3) Pub Date : 2024-04-11 Xuefei Wang, Wei Lu, Jiale Li, Jianmin Zhang, Guowei Ma
Intelligent Compaction (IC) utilizes the Intelligent Compaction Measurement Value (ICMV) to assess compaction quality in real-time. However, current engineering practices rely on a fixed ICMV for evaluation, overlooking material variations and different compaction stages. The choice of ICMV is often dictated by the manufacturer, lacking rationality. This paper presents a multi-domain ICMV system to
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Estimation of load for tunnel lining in elastic soil using physics‐informed neural network Comput. Aided Civ. Infrastruct. Eng. (IF 9.6) Pub Date : 2024-04-11 G. Wang, Q. Fang, J. Wang, Q. M. Li, J. Y. Chen, Y. Liu
A reverse calculation method termed soil and lining physics‐informed neural network (SL‐PINN) is proposed for the estimation of load for tunnel lining in elastic soil based on radial displacement measurements of the tunnel lining. To achieve efficient and accurate calculations, the framework of SL‐PINN is specially designed to consider the respective displacement characteristics of surrounding soil
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Seismic performance assessment of a low-rise thin reinforced concrete wall building with unconnected fiber reinforced elastomeric isolators using real-time hybrid simulations J. Build. Eng. (IF 6.4) Pub Date : 2024-04-11 Bryan Castillo MSc., Sharick M. Vides MSc, Johannio Marulanda PhD., Albert R. Ortíz PhD., Peter Thomson PhD.
Thin reinforced concrete wall (TRCW) buildings have become one of the most cost-effective and fastest options for housing construction. However, the performance of the TRCW building under seismic loads has limited energy dissipation capacity and is characterized by brittle failures with dimensions below those limited in international standards, which classifies these walls as ultra-thin. By contrast
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Empirical modelling of the acoustic behavior of sheep wool/soy protein biocomposites J. Build. Eng. (IF 6.4) Pub Date : 2024-04-11 Marta Urdanpilleta, Romina del Rey, Itsaso Leceta, Juan C. Rodríguez, Jesús Alba, Pedro Guerrero
Many synthetic materials used as sound absorbers in building industry require many resources in their manufacturing process; therefore, searching for sustainable and eco-friendly alternatives, such as biocomposites with natural fibers embedded in a polymer matrix, is a promising option. In this work, soy protein was combined with 10, 15 and 20 wt % sheep wool by freeze-drying in order to develop porous
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Investigation of electromagnetic interference shielding performance of ultra-high-performance mortar incorporating single-walled carbon nanotubes and steel fiber J. Build. Eng. (IF 6.4) Pub Date : 2024-04-11 Serkan Subaşı, Muhammet Seis, İlker Tekin, Syed Minhaj Saleem Kazmi, Muhammad Junaid Munir, Osman Gencel, Togay Ozbakkaloglu, Muhammed Maraşlı
For security amenities and key infrastructure, construction materials with extraordinary mechanical, durability, and electromagnetic interference (EMI) shielding performance are essential. This study investigates the EMI shielding performance of ultra-high performance mortar (UHPM) incorporating single-walled carbon nanotubes (SWCNT) and steel fibers. Currently, no such work is present in the existing
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Automatic deflection measurement for outdoor steel structure based on digital image correlation and three-stage multi-scale clustering algorithm Autom. Constr. (IF 10.3) Pub Date : 2024-04-10 Haobo Sun, Yongqi Huang
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Smartphone‐based method for measuring maximum peak tensile and compressive strain Comput. Aided Civ. Infrastruct. Eng. (IF 9.6) Pub Date : 2024-04-10 Xixian Chen, Huan Li, Chenhao Zhao, Guangyi Zhou, Weijie Li, Xue Zhang, Xuefeng Zhao
This paper proposes an innovative smartphone‐based strain sensing method (named MaxCpture) for measuring maximum peak tensile and compressive strains. The MaxCpture method is able to record the maximum peak strain of a structure without continuous power supply and real‐time monitoring. This method combines the maximum peak strain sensor, a smartphone, and the microimage sensing algorithm. Crucially
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Effects of air-entraining agents and glass powder on the electromagnetic wave transmission and mechanical performances of sulfoaluminate cement J. Build. Eng. (IF 6.4) Pub Date : 2024-04-10 Zigeng Wang, Yonghao Shen, Yue Li, Yaping Cheng
This study prepared a sulfoaluminate cement with high electromagnetic wave transmission performance by adding air entraining agent and glass powder and revealed the related mechanism. The test results showed the air-entraining agents and glass powder cannot affect the type of hydration products of the sulfoaluminate cement. The addition of the air-entraining agents and glass powder reduced the dielectric
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Effect of steel fiber orientation on punching shear resistance of steel fiber reinforced cementitious composites round slabs J. Build. Eng. (IF 6.4) Pub Date : 2024-04-10 Ru Mu, Shaolin Mei, Jiao Chen, Xiaowei Wang, Na Liu, Xiangshang Chen, Longbang Qing, Yongxing Shi
The slab-column structure is commonly used in civil engineering. At the slab-column joints, the load from the slab is transmitted to the column. In the extreme state, punching shear failure may occur at the joints, and the failure is brittle without warning. When the punching shear failure occurs at the joint of round slab and column, usually the cracking is a conical shape because the direction of
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Damage and fracture investigation of self-compacting concrete in the filling layer of CRTS-III using three-point bending tests J. Build. Eng. (IF 6.4) Pub Date : 2024-04-10 Leiyang Pei, Chengchao Guo, Jin Tang, Zhiwen An, Lei Qin, Xuanxuan Chu, Haibo Wang, Zhichuang Shi
Literature about filling layer self-compacting concrete (FLSCC) has indicated that FLSCC plays a crucial role in its application to Chinese railway track system III (CRTS-III). It is apparent that the damage characteristics of FLSCC have not been clearly investigated, as the actual working conditions are not considered enough. There exists a remaining gap about the mechanical properties and fracture
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Effects of macro basalt fibers on the tensile behavior of ultra-high performance concrete J. Build. Eng. (IF 6.4) Pub Date : 2024-04-10 Zhiyuan Chen, Xin Wang, Lining Ding, Kaidi Jiang, Chang Su, Qingguo Ben, Zhishen Wu
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Active and passive monitoring of corrosion state of reinforced concrete based on embedded cement-based acoustic emission sensor J. Build. Eng. (IF 6.4) Pub Date : 2024-04-10 Rui Guo, Xiaofang Zhang, Xiujuan Lin, Shifeng Huang
In this paper, a cement-based acoustic emission sensor is embedded in reinforced concrete, and the corrosion damage inside the concrete is activated by swinging ball impact. The changes of low frequency and high frequency acoustic emission signals are captured and analyzed by the sensor, and the concept of low-high-frequency () is proposed. The changes of acoustic emission characteristics during the
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An improved stochastic subspace identification approach for automated operational modal analysis of high-rise buildings J. Build. Eng. (IF 6.4) Pub Date : 2024-04-10 Haoran Pan, Yi Li, Ting Deng, Jiyang Fu
The Stochastic Subspace Identification (SSI) method has attracted significant attention in the field of Operational Modal Analysis (OMA) for large civil engineering structures such as high-rise buildings. State-space-based identification methods often encounter the challenge of spurious modes, leading to extensive efforts to mitigate this issue, commonly through stabilization diagram techniques. Nonetheless
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Analysis of carbon emission differences between Chinese and Japanese buildings based on qualitative and quantitative comparisons J. Build. Eng. (IF 6.4) Pub Date : 2024-04-10 Qi Wang, Xinghui Zhang, Cheng Guo, Hao Zhou, Yang Zhao, Borong Lin
As the world's largest carbon emitter, China's building-related carbon emissions contributed to 50.9 % of the country's total carbon emissions in 2020, making it an important area for carbon reduction. In contrast, Japan, one of the world's most energy-efficient nations, has already achieved carbon peaking. To further clarify the current status of China's building carbon emissions and explore a reasonable
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Preparation and characterization of double-shell phase change material microcapsules with flame retardancy and temperature regulation capability as low-emission building fillers J. Build. Eng. (IF 6.4) Pub Date : 2024-04-10 Wei Lin, Chenchen Liang, Jielin Zeng, Jiaji Cheng, Yapeng Wang, Feng Zhang, Shaoxiang Li
The building application of phase change materials (PCMs) has attracted widespread attention due to energy conservation and emission reduction. In this study, designed and prepared by two-step polymerization poly melamine tetramethylene phosphonium sulfate (PMTMPS) coating the raw phase change materials microcapsules (MPCMs), which were novel double-shell microcapsules (D-MPCMs). D-MPCMs further achieved
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Study on the hysteretic characteristics of FRP-reinforced concrete shear wall with innovative friction dampers J. Build. Eng. (IF 6.4) Pub Date : 2024-04-10 Shiying Xiao, Mengfu Wang, Zixiong Tan
FRP-reinforced concrete shear walls (FRCWs) are able to achieve satisfactory residual deformation and corrosion resistance compared with steel reinforced concrete walls (SRCWs). However, in the FRCWs, the failure of the plastic hinge region brings great challenges to the post-earthquake repair of the structure. Therefore, this paper designed one SRCW and two FRCWs with innovative friction dampers (FDs)
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Acoustic mechanism and noise reduction optimization of globe valve in air conditioning system J. Build. Eng. (IF 6.4) Pub Date : 2024-04-10 Qianting Wang, Junyu Wang, Hengdong Zhuang, Juncheng Liu, Bo Jiang, Yongxing Song, Kepeng Zhang
The globe ball valve will invariably emit inevitably generates noise during operation. The flow field characteristics and sound field characteristics inside the shut-off throttle were obtained by numerical calculations. In order to suppress the noise, this paper proposes an optimized model for this type of valve. Optimization valves were set up for different simulation groups to identify the appropriate
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Experimental and theoretical analysis of the solar adsorption refrigeration system under south Iraq climate condition J. Build. Eng. (IF 6.4) Pub Date : 2024-04-10 Rafid M. Hannun, Aqeel Ahmed Abed, Hussein Togun, Hayder I. Mohammed, Zainab A. Lafta, Zahraa N. Abdul hussain, Goodarz Ahmadi
This study investigates the performance of a solar adsorption refrigeration system utilizing activated carbon and methanol as the adsorbent/adsorbate combination in the context of the climate conditions in southern Iraq. The primary aim is to develop an efficient and environmentally friendly refrigeration technology that can operate off-grid, particularly in regions with limited access to electricity
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Effect of peanut and sunflower shell ash on properties of sustainable high-strength concrete J. Build. Eng. (IF 6.4) Pub Date : 2024-04-10 Mohamed Amin, Abdullah M. Zeyad, Ibrahim Saad Agwa, Ashraf M. Heniegal
The aim of this study is to utilize agricultural waste ash as a partial replacement for cement to create sustainable high-strength concrete (SHSC). A maximum of 40 % of the cement mass was substituted with silica fume (SF), peanut shell ash (PSA), and sunflower shell ash (SSA). Tests were conducted on the fresh, hardened, and transport properties of SHSC, as well as on the microstructure, to evaluate
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Cluster analysis applied to obtaining reference models for building thermal performance studies J. Build. Eng. (IF 6.4) Pub Date : 2024-04-10 Aline Schaefer, Taylana Piccinini Scolaro, Enedir Ghisi
Cluster analysis has often been used to obtain reference models. However, using different methods in each analysis step may yield different results. Furthermore, the validation of the results is often neglected. This study aims to develop a cluster analysis method to obtain reference models for use in thermal performance studies of buildings from different clustering configurations. The procedure proposed