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Automated signal‐based evaluation of dynamic cone resistance via machine learning for subsurface characterization Comput. Aided Civ. Infrastruct. Eng. (IF 8.5) Pub Date : 2024-07-01 Samuel Olamide Aregbesola, Yong‐Hoon Byun
Dynamic cone resistance (DCR) is a recently introduced soil resistance index that has the unit of stress. It is determined from the dynamic response at the tip of an instrumented dynamic cone penetrometer. However, DCR evaluation is generally a manual, time‐consuming, and error‐prone process. Thus, this study investigates the feasibility of determining DCR using a stacked ensemble (SE) machine learning
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A rendering-based lightweight network for segmentation of high-resolution crack images Comput. Aided Civ. Infrastruct. Eng. (IF 8.5) Pub Date : 2024-06-23 Honghu Chu, Diran Yu, Weiwei Chen, Jun Ma, Lu Deng
High-resolution (HR) crack images provide detailed structural assessments crucial for maintenance planning. However, the discrete nature of feature extraction in mainstream deep learning algorithms and computational limitations hinder refined segmentation. This study introduces a rendering-based lightweight crack segmentation network (RLCSN) designed to efficiently predict refined masks for HR crack
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Shape meets Euclid: Integrating shape computation with ruler and compass procedures Autom. Constr. (IF 9.6) Pub Date : 2024-06-28 Athanassios Economou, Tzu-Chieh Kurt Hong, Russell Newton
The recent success of a class of mechanical applications of shape rules in CAD shape grammar interpreters has produced a renewed interest in the design and support of shape embedding and shape rewrite technologies. Despite this, some fundamental constructions in rule-based modeling, namely, any of Euclid's straightedge and compass constructions, appear awkward to simulate within the fuse-embed cycle
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Integrated representation of technical systems with BIM and linked data: TUBES system ontology Autom. Constr. (IF 9.6) Pub Date : 2024-06-28 Nicolas Pauen, Jérôme Frisch, Christoph van Treeck
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Computing‐efficient video analytics for nighttime traffic sensing Comput. Aided Civ. Infrastruct. Eng. (IF 8.5) Pub Date : 2024-06-28 Igor Lashkov, Runze Yuan, Guohui Zhang
The training workflow of neural networks can be quite complex, potentially time‐consuming, and require specific hardware to accomplish operation needs. This study presents a novel analytical video‐based approach for vehicle tracking and vehicle volume estimation at nighttime using a monocular traffic surveillance camera installed over the road. To build this approach, we employ computer vision‐based
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Study of recycled concrete properties and prediction using machine learning methods J. Build. Eng. (IF 6.7) Pub Date : 2024-06-28 Yongcheng Ji, Dayang Wang, Jun Wang
This paper is divided into two parts, with the first part examining the influence of recycled brick aggregate (BA) ratios on physical properties of blended coarse aggregate (BNA). These properties include apparent density (SSD), water absorption (WA), and crushing value (CV). The compressive strength of recycled concrete (RAC) prepared with BNA was tested. The tested results show that when SSD decreases
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Discussion: Towards performance-based specifications for fly ash and natural pozzolans-insights from a Monte-Carlo based thermodynamic modeling framework Cem. Concr. Res. (IF 10.9) Pub Date : 2024-06-27 Galal Fares, Jieying Jane Zhang
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Impact of aggregate gradation and asphalt-aggregate ratio on pavement performance during construction using back propagation neural network Autom. Constr. (IF 9.6) Pub Date : 2024-06-27 Ziyao Wei, Kun Hou, Yanshun Jia, Shaoquan Wang, Yingsong Li, Zeqi Chen, Ziyue Zhou, Ying Gao
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Applications of blockchain for construction project procurement Autom. Constr. (IF 9.6) Pub Date : 2024-06-27 Minju Kim, Yong-Woo Kim
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Time series anomaly detection using generative adversarial network discriminators and density estimation for infrastructure systems Autom. Constr. (IF 9.6) Pub Date : 2024-06-27 Yueyan Gu, Farrokh Jazizadeh
Efficient data-driven defect detection techniques are crucial for maintaining service quality and providing early warnings for infrastructure systems. To this end, we proposed an effective unsupervised anomaly detection framework (DEGAN) using Generative Adversarial Networks (GANs). The framework relies solely on normal time series data as input to train well-configured discriminators into standalone
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The role of biotite in the deterioration of pyrrhotite within concrete aggregates: Trois-Rivières case study Cem. Concr. Res. (IF 10.9) Pub Date : 2024-06-26 Bruno Titon, Josée Duchesne, Benoît Fournier
In Trois-Rivières, Canada, numerous commercial and residential structures suffered severe concrete degradation due to internal sulfate attack (ISA). The deterioration was attributed to the use of sulfide-bearing aggregates obtained from nearby quarries. The objective of this study was to investigate the mechanisms involving pyrrhotite oxidation and the role of biotite in this process. Detailed analysis
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Thermoelectric properties of the main species present in Portland cement pastes Cem. Concr. Res. (IF 10.9) Pub Date : 2024-06-26 Ridwan O. Agbaoye, Jozef Janovec, Andrés Ayuela, Jorge S. Dolado
Several experimental studies have been conducted on the thermoelectric properties of cementitious materials, but a detailed inspection of the intrinsic properties of their main ingredients is still missing. This work focuses on the thermoelectric properties of portlandite and tobermorite, two mineral components found in Ordinary Portland Cement pastes. To this end, atomistic simulations were carried
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Effect of ICCP on bond performance and piezoresistive effect of carbon fiber bundles in cementitious matrix Cement Concrete Comp. (IF 10.8) Pub Date : 2024-06-26 Yewangzhi Tao, Jiarong Liu, Dawei Zhang, Zhiyu Xie, Jiaxin Hong
The purpose of this study is to lay a foundation for developing a triple-functional system of impressed current cathodic protection, structural strengthening, and structural health monitoring (ICCP-SS-SHM) regarding carbon fabric reinforced cementitious matrix (CFRCM) material performance, and promote the utilization of seawater sea-sand resources to alleviate the shortage of freshwater river sand
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Two-stage task allocation for multiple construction robots using an improved genetic algorithm Autom. Constr. (IF 9.6) Pub Date : 2024-06-26 Xiaotian Ye, Hongling Guo, Zhubang Luo
The construction industry is facing serious challenges, such as labor shortage and safety hazards. Construction robots can perform dangerous and repetitive tasks instead of workers. However, complex construction tasks require multi-robot collaboration, which needs efficient task allocation. This paper describes a two-stage task allocation method using an improved Genetic Algorithm (GA) for multiple
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Seepage characteristics and mechanism of double damage basalt fiber reinforced concrete under three-dimensional variable stress states J. Build. Eng. (IF 6.7) Pub Date : 2024-06-26 Weipei Xue, Xuebiao Peng, Wenbin Zhang, Jun Xu, Weiwei Wu
Concrete experiences a three-dimensional variable stress state during its service life. To explore the permeability evolution and mechanism under such conditions, a permeability test was conducted on double damage basalt fiber concrete subjected to loading and unloading of twice confining pressure. Pore structure and microstructure of specimens were analyzed before and after permeability test. The
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The synergistic effect of recycled glass fiber reinforced plastic and silica fume on cement mortar properties J. Build. Eng. (IF 6.7) Pub Date : 2024-06-26 Qin XIN, Zehan LI, Shixiong LU, Pengtao SHAO, Miao Zhang
In recent years, there has been a significant increase in the generation of glass fiber-reinforced plastic (GFRP) waste. Traditional disposal methods have led to the wastage of resources and elevated carbon emission rates. Therefore, recycled glass fiber reinforced plastic powder was utilized to synergistically substitute a portion of the cement with silica fume, aiming to produce green cementitious
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Binary solid wastes derived clinker: Raw feed system design validation and thermodynamic simulation investigation Cem. Concr. Res. (IF 10.9) Pub Date : 2024-06-25 Lu Zhu, Hanxiong Lyu, Yang Liu, Shipeng Zhang, Chi Sun Poon
Solid waste derived clinker design methodology was established based on thermodynamic simulation and experiment validation via the recycling of incinerated sewage sludge ash (ISSA) and recycled concrete fine (RCF). Compared with 1000 °C and 1100 °C, 1200 °C was the optimum temperature for CS-rich clinker synthesis due to the highest simulated belite content after sintering. A utilization rate of 95 %
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Assessing the durability performance of high belite cement incorporating fly ash under long-term temperature variations Cement Concrete Comp. (IF 10.8) Pub Date : 2024-06-25 Haoyu Zeng, Ming Jin, Wenwei Li, Chang Gao, Yuefeng Ma, Qingfeng Guan, Boyi Li, Jiaping Liu
The widespread use of ordinary Portland cement (OPC), which has a significant carbon footprint, greatly contributes to the climate crisis. High belite cement (HBC) is renowned for its low-carbon characteristics, resulting in an evident reduction in both energy consumption and CO emissions. Fly ash (FA), an industrial solid waste material, is commonly employed in the construction of mass concrete structures
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Effect of seawater on hydration of magnesium potassium phosphate cements Cement Concrete Comp. (IF 10.8) Pub Date : 2024-06-25 Biwan Xu, Barbara Lothenbach
Magnesium potassium phosphate (MKP) cement-based materials could be suitable for concrete repairs in marine environments. In this study, the effect of seawater on the hydration of MKP cements at different magnesium-to-phosphate molar ratios was investigated using mainly diluted suspensions. Compared to deionized water, seawater can slow down MKP cement hydration, which is attributed to the combined
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Hybrid knowledge and data driven approach for prioritizing sewer sediment cleaning Autom. Constr. (IF 9.6) Pub Date : 2024-06-25 Chen Li, Ke Chen, Zhikang Bao, S. Thomas Ng
The efficient assessment of sewer sediment condition is important for municipalities to formulate prioritization strategies for cleaning initiatives. However, manual assessment methods are plagued by inherent subjective and inaccuracy. To address these deficiencies, this paper introduces a hybrid approach integrating both knowledge-based principles and data-driven techniques for Sewer Sediment Cleaning
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Buildability of complex 3D-printed concrete geometries using Peridynamics Autom. Constr. (IF 9.6) Pub Date : 2024-06-25 Jinggao Zhu, Miguel Cervera, Xiaodan Ren
As a formwork-free construction method, 3D–printed concrete (3DPC) shows great advantages in forming complex structures; but encounters buildability problems. To address this, this paper presents a fluid-solid integrated peridynamic (PD) model to describe the fluid-to-solid transition of 3DPC. On this basis, an automatic strategy is proposed to deal with complex geometries. Programming by Python, PD
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Enhancing the strength, microstructural integrity, and shrinkage performance of cement-based mortar using pulverised carbon and glass FRP composite waste J. Build. Eng. (IF 6.7) Pub Date : 2024-06-25 Y. Tao, S.A. Hadigheh
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Cement-based biomimetic metamaterials J. Build. Eng. (IF 6.7) Pub Date : 2024-06-25 Wei She, Zhangyu Wu, Jingxian Yang, Hao Pan, Fengyin Du, Zhenxing Du, Changwen Miao
Addressing pervasive environmental challenges, sophisticated next-generation cement-based materials, engineered to fulfill comprehensive objectives including mechanical durability and functionality, are anticipated to be preeminent candidates for forthcoming pivotal engineering projects. A novel research paradigm, encompassing three distinct phases: deconstruction, re-construction, and upgrade-construction
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Determination of carbonation depth and pH in concrete containing crystalline waterproofing agents using the endoscopic method J. Build. Eng. (IF 6.7) Pub Date : 2024-06-25 Tayfun Uygunoğlu, Uğur Fidan, Barış Şimşek, Adem Tuncer
The monitoring of the carbonation process plays a key role in monitoring the health of reinforced concrete structures. In this study, the carbonation depth of concrete was measured using image processing and endoscopic methods, which relied on the pH level of the concrete containing crystalline waterproofing material. The results show that the carbonation depth and pH of the concrete were estimated
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Study on mechanical properties and freeze-thaw damage law of steel fiber coal gangue concrete J. Build. Eng. (IF 6.7) Pub Date : 2024-06-25 Jiuyang Li, Jingwei Luo, Chen Li, Yuepeng Zhu, Xinmei Fan, Xiaoyu Wang, Guangchao Hu
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The research on the mechanical properties, microstructure, environmental impacts of environmentally friendly Alkali-activated ultra high performance concrete (AAUHPC) matrix with varied design parameters J. Build. Eng. (IF 6.7) Pub Date : 2024-06-25 Jiale Shen, Yue Li, Hui Lin, Yaqiang Li
Alkali-activated material prepared by the silicon aluminum solid wastes are commonly considered as the low-carbon cementitious material, which has important significance for promoting the sustainable development of construction materials. The mechanical properties, reaction mechanisms, and microstructure evolutions of Alkali-activated Ultra High Performance Concrete (AAUHPC) matrix with 7 design parameters
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pyCSH: Automated atomic-level structure generation of bulk C-S-H and investigation of their intrinsic properties Cem. Concr. Res. (IF 10.9) Pub Date : 2024-06-24 Ziga Casar, Jon López-Zorrilla, Hegoi Manzano, Eduardo Duque-Redondo, Aslam Kunhi Mohamed, Karen Scrivener, Paul Bowen
A new Python code for the automated generation of realistic bulk calcium silicate hydrate (C-S-H) structures is introduced. The code was used to generate 400 structures with Ca/Si of 1.3, 1.5, 1.7, and 1.9. The generated structures are in excellent agreement with experimentally measured C-S-H properties (Ca/Si, 2H/Si, MCL, Si-OH/Si, and Ca-OH/Ca). Molecular dynamics was used to simulate the structures
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Using Eye-Tracking to Measure Worker Situation Awareness in Augmented Reality Autom. Constr. (IF 9.6) Pub Date : 2024-06-24 Shaoze Wu, Haosen Chen, Lei Hou, Guomin (Kevin) Zhang, Chun-Qing Li
Augmented Reality (AR) technology has emerged as a promising tool for enhancing safety in the construction industry by improving the Situation Awareness (SA) of onsite workers. However, there is a lack of methods to quantify the impact of real-time AR visual warnings on developing and updating SA. To address this gap, this paper presents an eye-tracking-based method that quantifies the impact using
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Training strategy and intelligent model for in-situ rapid measurement of subgrade compactness Autom. Constr. (IF 9.6) Pub Date : 2024-06-24 Xuefei Wang, Xiangdong Li, Jiale Li, Jianmin Zhang, Guowei Ma
Current methods for inspecting subgrade compaction quality are time-consuming and destructive. This paper presents an in-situ measurement methodology for rapid detection of subgrade compaction quality using Ultrasonic Pulse Velocity (UPV) and Intelligent Compaction (IC). Field compaction tests, field UPV test, and laboratory tests are performed to construct the heterogeneous datasets. A set of intelligent
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Impact of simulation fidelity on identifying swing-over hazards in virtual environments for novice crane operators Autom. Constr. (IF 9.6) Pub Date : 2024-06-24 Tanghan Jiang, Yihai Fang, Jiantsen Goh, Songbo Hu
Crane-related accidents often occur due to failure in timely and accurate hazard identification. Virtual Reality (VR) technology facilitates immersive environments for improving hazard identification without real-world consequences. However, the impact of simulation fidelity on hazard identification performance, particularly for novice crane operators, remains underexplored. This paper examines how
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Advancements in digital twin modeling for underground spaces and lightweight geometric modeling technologies Autom. Constr. (IF 9.6) Pub Date : 2024-06-24 Haofeng Gong, Dong Su, Shiqi Zeng, Xiangsheng Chen
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Optimizing MEP design in early AEC projects through generative design Autom. Constr. (IF 9.6) Pub Date : 2024-06-24 Edgar Pestana, Andrew Paice, Shaun West
The digital transformation of the AEC industry through BIM has improved productivity during detailed design and construction planning phases. Early design choices influence a project's success but have yet to benefit from BIM-based approaches. This paper investigates the feasibility and acceptance of employing Generative Design (GD) to optimize early Mechanical, Electrical, and Plumbing (MEP) designs
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Enhancing cyber risk identification in the construction industry using language models Autom. Constr. (IF 9.6) Pub Date : 2024-06-24 Dongchi Yao, Borja García de Soto
Modern construction projects are vulnerable to cyber-attacks due to insufficient attention to cybersecurity. Cyber risks in construction projects are not fully recognized, and the relevant literature is limited. To address this gap, the capabilities of a language model were leveraged to analyze extensive text, tailored to identify cyber risks. The model was trained using a curated corpus related to
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Parallel camera network: Motion-compensation vision measurement method and system for structural displacement Autom. Constr. (IF 9.6) Pub Date : 2024-06-24 Xiaolin Liu, Biao Hu, Yihe Yin, Yueqiang Zhang, Wenjun Chen, Qifeng Yu, Xiaohua Ding, Linhai Han
This study proposes a motion-compensation vision measurement method and system for structural displacement, termed the parallel camera network (PCN). Based on the fixedly connected calibration cameras and measurement cameras, the PCN method effectively address the optical measurement problems of the unstable observation platform. Unlike existing ego-motion compensation methods, the PCN method allows
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Hypermedia-driven RESTful API for digital twins of the built environment Autom. Constr. (IF 9.6) Pub Date : 2024-06-24 Stefan Herlé, Jörg Blankenbach
Core domains to establish digital twins of the built environment are Building Information Modeling (BIM), Geographic Information System (GIS) and Internet of Things (IoT). RESTful Application Programming Interfaces (APIs) of these domains allow easy access to the digital twin. While multiple information models are reasonable since the focus of these domains is distinct, interoperability becomes a challenge
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Improving physical properties, microstructure and actual carbon sequestration of steel slag based autoclaved aerated concrete by accelerated carbonation J. Build. Eng. (IF 6.7) Pub Date : 2024-06-24 Xiaowei Gu, Shenyu Wang, Jianping Liu, Zhenguo Zhu, Hongyu Wang, Xiaowei Ge, Ziyang Hu, Xiaochuan Xu, Moncef L. Nehdi
This study presents an autoclaved aerated concrete (AAC) with steel slag (SS) as carbonate-able binder. The traditional autoclaving process was augmented with a carbonation stage to improve the physical properties, microstructure and actual carbon sequestration of steel slag based autoclaved aerated concrete (SS-AAC). The macroscopic and microscopic test results showed that the carbonation process
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Diffusion characteristics of indoor pollutants from incense sticks combustion in Tibetan Plateau buildings: An experimental study J. Build. Eng. (IF 6.7) Pub Date : 2024-06-24 Jiaman Li, Yingying Wang, Jiale Hu, Yanfeng Liu
Incense burning, a common practice among ethnic Tibetans in Qinghai-Tibet Plateau of China, generates pollutants that can impact indoor air quality and, subsequently, human health. In this paper, we investigate the diffusion characteristics of four prevalent pollutants emitted during the burning of local Tibetan incense under low-pressure conditions specific to the plateau region. The diffusion behavior
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Experimental and numerical study on mechanical properties of a modified type of energy-dissipative hold-down for CLT structures J. Build. Eng. (IF 6.7) Pub Date : 2024-06-24 Nadeem Abbas, Haibei Xiong, Sun Jinyu
The connections ensure lateral and shear resistance in CLT buildings, facilitating crucial interactions between walls and floors. CLT connectors are widely used at present and take strength as the control index, but they have poor energy dissipation performance and are not suitable for middle- and high-rise buildings in earthquake-prone zones. This study proposes a modified version of an existing energy
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Unraveling concrete's interfacial transition zone vulnerability under erosive environments: A molecular dynamics study J. Build. Eng. (IF 6.7) Pub Date : 2024-06-23 Qingyin Tang, Songyue Chai, Dongshuai Hou, Bing Yin, Muhan Wang, Peng Liu, Hongxing Hu, Xinbo Zhao, Pan Wang
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Influence of interface agent and form on the bonding performance and impermeability of ordinary concrete repaired with alkali-activated slag cementitious material J. Build. Eng. (IF 6.7) Pub Date : 2024-06-23 Pang Chen, Yunhe Li, Jianxin Zhang, Zewen Zhang, Dehong Wang
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3D laser scanning for automated structural modeling and deviation monitoring of multi-section prefabricated cable domes Autom. Constr. (IF 9.6) Pub Date : 2024-06-22 Ailin Zhang, Hao Ma, Xi Zhao, Yanxia Zhang, Jie Wang, Meini Su
This paper presents a multi-member automatic structural modeling (MASM) method for high-thrust deviation monitoring of prefabricated cable domes. Point cloud data generated by three-dimensional (3D) laser scanning were segmented into structural modules to effectively reduce the method's computational complexity. A multimember central shrinkage algorithm was developed for skeleton-point recognition
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Integrated reinforcement and imitation learning for tower crane lift path planning Autom. Constr. (IF 9.6) Pub Date : 2024-06-22 Zikang Wang, Chun Huang, Boqiang Yao, Xin Li
Reinforcement learning (RL) has emerged as a promising solution method for crane-lift path planning. However, designing appropriate reward functions for tower crane (TC) operations remains particularly challenging. Poor design of reward functions can lead to non-executable lifting paths. This paper presents a framework combining imitation learning (IL) and RL to address the challenge. The framework
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Preventing falls from floor openings using quadrilateral detection and construction worker pose-estimation Autom. Constr. (IF 9.6) Pub Date : 2024-06-22 Minsoo Park, Almo Senja Kulinan, Tran Quoc Dai, Jinyeong Bak, Seunghee Park
This paper addressed safety risks in the construction industry, emphasizing the prevalent and fatal risk of falls from heights due to floor openings. Although advancements in computer vision and deep learning offer opportunities for automated safety monitoring, challenges such as inaccuracies in object localization and measuring distances to unsafe zones persist. To overcome these issues, a detection
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Temporal feature decomposition fusion network for building energy multi-step prediction J. Build. Eng. (IF 6.7) Pub Date : 2024-06-22 Ya Yang, Qiming Fu, Jianping Chen, You Lu, Yunzhe Wang, Hongjie Wu
Accurate building energy prediction methods have become a key factor in achieving energy-saving goals. Traditional methods for building energy multi-step prediction often use recursive or direct strategies to address time series prediction problems, which may neglect the data sequence correlation and result in the cumulative error. To solve the above problem, this paper proposed a Temporal Feature
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Assessment of the impact of setting the heating curve on reducing gas consumption in a residential building while ensuring thermal comfort J. Build. Eng. (IF 6.7) Pub Date : 2024-06-22 Anna Justyna Werner-Juszczuk, Alicja Siuta-Olcha
Due to the large share of the residential building sector in CO emissions, it is necessary to look for quick-to-implement and cost-free solutions for heating systems aimed at increasing their efficiency and reducing fuel consumption. The aim of the study is a multi-aspect assessment of the proper setting of the heating curve in the weather controller of a low-temperature floor heating system with a
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Distributed model predictive control of fan coil system J. Build. Eng. (IF 6.7) Pub Date : 2024-06-22 Anjun Zhao, Yuan Wei, Wei Quan, Jiangtao Xi, Feifei Dong
To address the issues of large overshoot, long system stabilization time, and slow response associated with traditional PID-based and centralized model predictive control (MPC) of fan coil systems, this study proposes a distributed model predictive control (DMPC) method suitable for multi-zone building temperature regulation. Specifically, based on the thermal dynamic model of different zones, and
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A data-enhanced approach for early-age drying induced moisture transport analysis on in-situ casted textile fibre reinforced concrete J. Build. Eng. (IF 6.7) Pub Date : 2024-06-22 Hasika Dharmasooriya, Yuguo Yu, Chamila Gunasekara, Dilan J. Robert, Sujeeva Setunge
With the addition of textile fibres that alters pore structure, the novel Textile Fibre Reinforced Concrete (TFRC) exhibits great potential in reducing drying shrinkage and enhancing long-term durability. To advance material design, this study aims at developing a coupled experimental-numerical framework with a data-enhanced approach to identify the essential material properties that govern the moisture
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Comprehensive review and future prospects of multi-level fan control strategies in data centers for joint optimization of thermal management systems J. Build. Eng. (IF 6.7) Pub Date : 2024-06-22 Kunyuan Cao, Ziyong Li, Hailiang Luo, Yuguang Jiang, Haichao Liu, Lian Xu, Peng Gao, Hong Liu
With the rapid advancement of information and communication technology, particularly in artificial intelligence and cloud computing, the deployment of data centers has surged, making energy consumption in these facilities a critical issue. This review aims to address the joint control strategy for thermal management in data centers, focusing on control strategies for server fans. We examine various
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A low-cost bonded scrap tire rubber isolator in rural regions: Experimental, numerical and theoretical analysis on mechanical behavior J. Build. Eng. (IF 6.7) Pub Date : 2024-06-22 Mingyang Wang, Xilin Lu, Weixing Shi, Guangtai Zhang
The utilization of low-cost scrap tire pads (STP) made from recycled tires presents a promising alternative to traditional rubber isolators (i.e., fiber-reinforced elastomeric isolators) in rural construction. However, the STP was limited in application to practicing structures due to stability with a shear strain level of 100 % and the significant variability of the mechanical behavior at the same
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Measurement of air permeance in mass timber elements assembled through the dovetail technique J. Build. Eng. (IF 6.7) Pub Date : 2024-06-22 Hüseyin Emre Ilgın, Sami Haapaniemi, Markku Karjalainen, Juha Vinha
Adhesives and metal fasteners are important components in engineered wood products (EWPs), but the petroleum-based nature of adhesives raises environmental concerns and metal fasteners lead to challenges with end-of-life disposal and reusability. However, there is a promising solution in the form of ‘mass timber elements assembled through the dovetail technique (MTADT)’, also called ‘dovetailed massive
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Investigation of the application safety of R-290 in residential air conditioning systems J. Build. Eng. (IF 6.7) Pub Date : 2024-06-22 Changzhen Guo, Zhao Yang, Hongxia He, Jian Li, Zhaoning Hou, Yanfeng Zhao, Yansong Hu, Yue Shu
In the context of energy conservation and reduction of greenhouse gas emissions, there has been considerable attention focused on the application of the natural refrigerant R-290 (propane) in residential air conditioning (AC) systems. An ignition event can occur once R-290 is released from residential AC systems and encounters an ignition source within an indoor environment. For studying the application
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Unraveling microstructural evolution in air-entrained mortar and paste: Insights from MIP and micro-CT tomography amid cyclic freezing-thawing damage J. Build. Eng. (IF 6.7) Pub Date : 2024-06-22 Rui He, Tommy Nantung, Na (Luna) Lu
Understanding the microstructure evolution during the cyclic freezing-thawing process is crucial to studying the deterioration mechanisms of concrete under cyclic freezing-thawing. In this study, air voids were entrained into cement mortar and paste by AEA and polymeric microspheres. Mercury intrusion porosimetry (MIP) and micro-CT techniques were integrated to investigate the microstructure of the
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Effects of heat, moisture/water, and compressive force on frequency response spectrum of super sensitive carbon nanofiber aggregates (SSCNFA) Cement Concrete Comp. (IF 10.8) Pub Date : 2024-06-21 Bhagirath Joshi, Jiaji Wang, Xiaonan Shan, Y.L. Mo, Thomas T.C. Hsu
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The long-term development in the micro- and macro-properties of geopolymers made from different fly ashes Cement Concrete Comp. (IF 10.8) Pub Date : 2024-06-21 Xiaonan Ge, Xiang Hu, Caijun Shi
This paper systematically presented the trend of mechanical properties and micro-characteristics of fly ash-based geopolymer pastes up to 730 days (d) and analyzed the reason causing the divergent tendencies among the geopolymers synthesized with five Class F fly ashes (FFA). The test results showed that the geopolymer specimens had continuously increased compressive strength due to the sustained geopolymerization
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Highly reactive carbonated recycled concrete fines prepared via mechanochemical carbonation: Influence on the early performance of cement composites Cement Concrete Comp. (IF 10.8) Pub Date : 2024-06-21 Yingliang Zhao, Kai Cui, Jionghuang He, Yong Zheng, Peiliang Shen, Chi Sun Poon, Guangmin Peng, Ruilai Guo, Daohui Xia
Carbonated recycled concrete fines (RCF) possess the potential to serve as supplementary cementitious materials (SCMs). However, calcium carbonate (c) formed during traditional carbonation methods generally shows low reactivity. Moreover, the remaining calcium silicate hydrate (C-S-H) with a low Ca/Si ratio exhibits enhanced resistance to decalcification, leading to the formation of lower content of
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4D point cloud-based spatial-temporal semantic registration for monitoring mobile crane construction activities Autom. Constr. (IF 9.6) Pub Date : 2024-06-21 Dong Liang, Sou-Han Chen, Zhe Chen, Yijie Wu, Louis Y.L. Chu, Fan Xue
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Recognizing temporary construction site objects using CLIP-based few-shot learning and multi-modal prototypes Autom. Constr. (IF 9.6) Pub Date : 2024-06-21 Yuanchang Liang, Prahlad Vadakkepat PhD, David Kim Huat Chua PhD, Shuyi Wang, Zhigang Li, Shuxiang Zhang
Visual understanding of temporary on-site objects is essential for robots and project management in construction. Implementation of deep learning algorithms is challenging on construction sites due to high data annotation cost, demanding computational power, and lack of large-scale training datasets. Recognizing on-site temporary objects demands the algorithms to learn in a data-efficient way. To fill
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Energy-saving potential estimation of retrofitting aged buildings considering external wall insulation degradation J. Build. Eng. (IF 6.7) Pub Date : 2024-06-21 Woo-Seung Yun, Wontaek Ryu, Dongrim Lee, Hyuncheol Seo
This study presents the potential for improving energy performance by considering thermal performance degradation due to the aging of building envelopes. The U-value is a critical parameter for simulating a building's energy performance evaluation. However, because of the difficulty of in-situ measurements, many cases involve using standard or normative values for assessment. Nevertheless, considering
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The application in electroencephalogram technology for investigating indoor lighting environments: A review J. Build. Eng. (IF 6.7) Pub Date : 2024-06-21 Nan Zhang, Chao Liu, Caixia Hou, Ziyan Wang, Xinyu He, Weijun Gao
The study of indoor light environments is crucial for achieving a balance between user comfort and building energy efficiency. Electroencephalogram (EEG), known for its non-invasiveness and high temporal resolution, has emerged as a valuable tool in this field, allowing for the visualization of brain activity. This review synthesizes findings from 52 studies conducted over the past two decades that
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Influence and optimal operating parameters of slit make-up air system on low-energy kitchen environment J. Build. Eng. (IF 6.7) Pub Date : 2024-06-21 Jiqin Li, Anqi Liu, Lin Yu, Chong Meng, Yingchao Ma, Jiankai Dong
Low-energy buildings make it difficult for the waste heat and pollutants in the kitchen to escape from indoors to outdoors due to their high air tightness and low air permeability. Therefore, a local make-up air system is needed to enhance the air change rate in the kitchen area. This study presents a design for a three-side slit make-up air system and assesses its impacts on the thermal comfort and