Article
Construction & Building Technology
Ying Lu, Peizhen Gong, Yuchun Tang, Shuqi Sun, Qiming Li
Summary: Construction Hazard Prevention through Design (CHPtD) can significantly reduce safety risks in the construction industry. This paper proposes a new method for quantitatively assessing construction safety risks during the design stage, using likelihood, consequence, and exposure indexes along with building information modeling technology to aid architects and designers in selecting safe design alternatives quickly.
AUTOMATION IN CONSTRUCTION
(2021)
Article
Engineering, Industrial
Soowon Chang, Heung Jin Oh, Jeehee Lee, Joe Perkins
Summary: The primary objective of this research is to demonstrate the feasibility of a model-based construction safety assessment system using BIM and PtD. It aims to identify risks embedded in design decisions through analyzing safety incident reports and establish relationships among design elements, accident precursors, and risk events. By developing and running visual scripts and assessing design model parameters in BIM, potential hazards associated with design choices can be evaluated. This approach enhances safety risk awareness, supports efficient and predictive safety management, and allows tracking of construction risks during the design stage.
JOURNAL OF MANAGEMENT IN ENGINEERING
(2023)
Article
Construction & Building Technology
Ali Khudhair, Haijiang Li, Guoqian Ren
Summary: This paper presents an automatic data exchange framework that utilizes semantic web technology to extract only necessary data from BIM models, aiming to eliminate inefficiencies in data exchange and improve decision-making in the early design stage. By developing a multi-objective knowledge base, the framework assists engineers in comparing different design options, thereby supporting more holistic decision-making in building design.
AUTOMATION IN CONSTRUCTION
(2023)
Article
Engineering, Industrial
Dawei Chen, Jianliang Zhou, Pinsheng Duan, Jiaqi Zhang
Summary: The outbreak of COVID-19 pandemic has posed severe challenges to infrastructure construction in China. To address these challenges, this study proposes a knowledge management and BIM-integrated safety risk identification method for deep foundation pit construction. By extracting and visualizing the topological relationships between objects in BIM, and establishing formal expressions of codes, the efficiency and refinement of risk identification are improved. The developed visual BIM plug-in proves the feasibility and applicability of the proposed method.
ENGINEERING CONSTRUCTION AND ARCHITECTURAL MANAGEMENT
(2023)
Review
Chemistry, Multidisciplinary
Min-Ho Shin, Hwan-Yong Kim
Summary: The study found that while a considerable proportion of respondents have received BIM education, the majority believe that formal BIM education is necessary, citing error checking ability as the biggest advantage of BIM. Survey results show that most respondents believe there should be proper compensation for BIM implementation, with suggestions to increase construction and design fees. In order to successfully apply BIM, a series of issues need to be addressed, including guidelines and details for BIM work and delivery, standardized BIM education, and an appropriate compensation system.
APPLIED SCIENCES-BASEL
(2021)
Article
Engineering, Civil
Mostafa Dadashi Haji, Behrouz Behnam, Mohammad Hassan Sebt, Abdollah Ardeshir, Ali Katooziani
Summary: In this study, a safety management framework integrating BIM and knowledge base is developed to assess the impacts of safety leading indicators on construction projects. The results show a 38% decrease in accidents after implementing the framework.
INTERNATIONAL JOURNAL OF CIVIL ENGINEERING
(2023)
Review
Construction & Building Technology
Taige Wang, Han-Mei Chen
Summary: Building Information Modeling (BIM) has spread worldwide as a digital construction tool and management method, expected to play a crucial role in project management. This paper aims to comprehensively understand the integration of BIM and project management in the construction project life cycle. The analysis reveals a relatively weak relationship between BIM and the project life cycle, prompting the proposition of a BIM capabilities framework to improve project management efficiency.
AUTOMATION IN CONSTRUCTION
(2023)
Article
Chemistry, Multidisciplinary
Alcinia Zita Sampaio, Goncalo B. Constantino, Nuno M. Almeida
Summary: This paper explores the opportunities of BIM implementation in urban rehabilitation projects, specifically in temporary construction works involving the preservation of original building facades. By modeling steel frames and structures, BIM can enable more efficient coordination and management activities in terms of safety and health in construction rehabilitation projects.
APPLIED SCIENCES-BASEL
(2022)
Article
Construction & Building Technology
William H. Collinge, Karim Farghaly, Mojgan Hadi Mosleh, Patrick Manu, Clara Man Cheung, Carlos A. Osorio-Sandoval
Summary: This paper presents a digital tool and Safety Risk library that assists designers in their health and safety work in BIM digital environments. By structuring data, sharing knowledge, and providing an interactive learning tool, designers' safety awareness and knowledge can be enhanced, contributing to better health and safety management in the construction industry.
AUTOMATION IN CONSTRUCTION
(2022)
Article
Construction & Building Technology
Temitope Akanbi, Jiansong Zhang
Summary: Construction cost estimation is a labor-intensive task that heavily relies on manual inputs, despite some processes being automated. The proposed method using semantic modeling and natural language processing aims to automate the extraction of design information and matching materials from database, showing promising results in accuracy and efficiency.
AUTOMATION IN CONSTRUCTION
(2021)
Article
Construction & Building Technology
Min-Ho Shin, Ji-Hyun Jung, Hwan-Yong Kim
Summary: Building Information Modeling (BIM) has great potential in the construction industry. By analyzing real projects, the advantages and disadvantages of BIM implementation are examined. The results show that BIM-implemented projects have cost and time advantages over non-BIM projects, and can increase productivity.
Article
Construction & Building Technology
Mohamed Adel, Zhuo Cheng, Zhen Lei
Summary: This paper discusses an approach to drive the adoption of BIM and VDC through cooperation among project stakeholders and presents a case study on a major Canadian general contractor's implementation of the technologies in construction projects. Based on the research findings, a Digital Construction Framework for the Future is proposed to increase the adoption of BIM and VDC.
Review
Engineering, Industrial
Nor Syamimi Samsudin, Mazlina Zaira Mohammad, Natasha Khalil, Nur Dalila Nadzri, Che Khairil Izam Che Ibrahim
Summary: This study examines the application of Prevention through Design (PtD) concept in the construction industry of developing countries through a systematic review. The findings reveal that PtD is crucial for enforcing legislation to improve building performance and reduce potential hazards.
Article
Computer Science, Interdisciplinary Applications
Gokcen Yilmaz, Asli Akcamete, Onur Demirors
Summary: BIM adoption has been rapidly increasing worldwide as it is crucial for digitalization in the construction industry. The transformation of traditional building life cycle stages into BIM-integrated project deliveries is necessary for BIM adoption. Assessing the BIM capabilities of these stages helps organizations identify gaps and improve their BIM usage.
COMPUTERS IN INDUSTRY
(2023)
Article
Construction & Building Technology
Sanjaya Chathuranga, Shan Jayasinghe, Jurgita Antucheviciene, Ruwan Wickramarachchi, Nilan Udayanga, W. A. S. Weerakkody
Summary: The aim of this study is to identify practices for construction companies to adopt agile project management methods during the design stage of projects that use BIM solutions. Despite the benefits of agile methods, waterfall project management is still more commonly used in the industry. However, recent studies suggest that adopting agile methodologies during the design stage is possible due to the similarities with software development projects. Based on a systematic literature review, the researchers identified 10 practices that can drive agile adoption, and these were validated by an architectural consultancy firm.
Article
Green & Sustainable Science & Technology
Jingfeng Yuan, Lingzhi Li, Endong Wang, Miroslaw J. Skibniewski
JOURNAL OF CLEANER PRODUCTION
(2019)
Article
Engineering, Civil
Jingfeng Yuan, Wenying Ji, Jiyue Guo, Miroslaw J. Skibniewski
Review
Construction & Building Technology
Liang Ma, Junning Li, Ruoyu Jin, Yongjian Ke
ADVANCES IN CIVIL ENGINEERING
(2019)
Article
Green & Sustainable Science & Technology
Yajing Zhang, Jingfeng Yuan, Lingzhi Li, Hu Cheng
Article
Environmental Sciences
Zheng Zhu, Jingfeng Yuan, Qiuhu Shao, Lei Zhang, Guangqi Wang, Xuewei Li
INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH
(2020)
Article
Environmental Sciences
Yi Zhang, Peng Mao, Hongyang Li, Yuxin Xu, Dan You, Hui Liu, Wei Huang, Jingfeng Yuan
INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH
(2020)
Article
Environmental Sciences
Hui Liu, Jie Li, Hongyang Li, He Li, Peng Mao, Jingfeng Yuan
Summary: This study analyzed the occupational health risk perception and coping behavior levels of construction workers in Nanjing and found that construction workers have a high level of risk perception but a low level of coping behavior. Factors such as gender, age, education level, unit qualification, personal knowledge, and group effects significantly influence the level of risk perception and subsequently affect coping behavior. Education level, monthly income, and personal knowledge also influence coping behavior through risk perception. Recommendations were proposed to improve risk perception and coping behavior from the perspectives of construction workers, enterprises, and governments, providing valuable insights for the field of occupational health and risk management.
INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH
(2021)
Article
Construction & Building Technology
Zheng Zhu, Yating Zhu, Rui Liu, Lei Zhang, Jingfeng Yuan
Summary: Urban rail transit (URT) promotes sustainable urban development by alleviating traffic congestion and environmental degradation. Land value capture (LVC) is an important theory that explores new financing modes for URT. This study analyzes the impact mechanism of URT on property prices in Xuzhou, China, and finds that the farther the distance between URT and a property, the lower the property prices. Additionally, parks, schools, and hospitals enhance the effects of URT on property prices, while shopping centers have a restraining impact. The combination of parks and schools (and hospitals) has the strongest effect on property prices.
Article
Construction & Building Technology
Wei Li, Jiyue Guo, Jingfeng Yuan, Henry J. Liu, David J. Edwards
Summary: Sponge city (SPC) is a sustainable development initiative in China to solve the urban water crisis. The introduction of public-private partnerships (PPPs) in SPC development has increased public concern. This study uses social impact theory (SIT) to explore the influencing mechanism of the social impact assessment (SIA) conceptual model for SPC PPPs and proposes a verified and refined SIA framework using 23 key indicators.
Article
Construction & Building Technology
Xuewei Li, Jingfeng Yuan, Xuan Liu, Yongjian Ke, Sijia Jia
Summary: This study systematically identified the influencing factors of value creation of URT PPP projects in China, including stakeholders' resource complementarity, cooperation environment, and partnership synergy, and established a theoretical model describing how these factors promote value creation during public-private cooperation in URT projects.
Article
Construction & Building Technology
Lei Zhu, Qianwen Ye, Jingfeng Yuan, Bon-Gang Hwang, Yusi Cheng
Summary: This study conducted a scientometric analysis and overview of the research on externalities of all infrastructure systems, showing an increasing trend in research interest and identifying four main research domains. The evolution of research focus, productive journals, scholars, and institutions, collaboration networks, and identified knowledge base were also highlighted. Lastly, research gaps and future research directions were pointed out, aiming to guide deeper research and assist policymakers and practitioners.
Article
Environmental Sciences
Jie Li, Peng Mao, Hui Liu, Jiawei Wei, Hongyang Li, Jingfeng Yuan
INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH
(2020)
Article
Engineering, Civil
Nicholas Tymvios, Tara L. Cavalline, Robin L. Maycock, Christopher Albergo, John Roberts
PRACTICE PERIODICAL ON STRUCTURAL DESIGN AND CONSTRUCTION
(2019)
Article
Management
Jingfeng Yuan, Wei Li, Bo Xia, Yuan Chen, Miroslaw J. Skibniewski
INTERNATIONAL JOURNAL OF STRATEGIC PROPERTY MANAGEMENT
(2019)
Article
Construction & Building Technology
Jia Liang, Qipeng Zhang, Xingyu Gu
Summary: A lightweight PCSNet-based segmentation model is developed to address the issues of insufficient performance in feature extraction and boundary loss information. The introduction of generalized Dice loss improves prediction performance, and the visualization of class activation mapping enhances model interpretability.
AUTOMATION IN CONSTRUCTION
(2024)
Article
Construction & Building Technology
Gilsu Jeong, Minhyuk Jung, Seongeun Park, Moonseo Park, Changbum Ryan Ahn
Summary: This study introduces a contextual audio-visual approach to recognize multi-equipment activities in tunnel construction sites, improving monitoring effectiveness. Tested against real-world operation data, the model achieved remarkable results, emphasizing the potential of contextual multimodal models in enhancing operational efficiency in complex construction sites.
AUTOMATION IN CONSTRUCTION
(2024)
Article
Construction & Building Technology
Jin Wang, Zhigao Zeng, Pradip Kumar Sharma, Osama Alfarraj, Amr Tolba, Jianming Zhang, Lei Wang
Summary: This study presents a dual-path network for pavement crack segmentation, combining Convolutional Neural Network (CNN) and transformer. A lightweight CNN encoder is used for local feature extraction, while a novel transformer encoder integrates high-low frequency attention mechanism and efficient feedforward network for global feature extraction. Additionally, a complementary fusion module is introduced to aggregate intermediate features extracted from both encoders. Evaluation on three datasets confirms the superior performance of the proposed network.
AUTOMATION IN CONSTRUCTION
(2024)
Article
Construction & Building Technology
Pierre Gilibert, Romain Mesnil, Olivier Baverel
Summary: This paper introduces a flexible method for crafting 2D assemblies adaptable to various geometric assumptions in the realm of sustainable construction. By utilizing digital fabrication technologies and optimization approaches, precise control over demountable buildings can be achieved, improving mechanical performance and sustainability.
AUTOMATION IN CONSTRUCTION
(2024)
Review
Construction & Building Technology
Jorge Loy-Benitez, Myung Kyu Song, Yo-Hyun Choi, Je-Kyum Lee, Sean Seungwon Lee
Summary: This paper discusses the advancement of tunnel boring machines (TBM) through the application of artificial intelligence. It highlights the significance of AI-based management subsystems for automatic TBM operations and presents recent contributions in this field. The paper evaluates modeling, monitoring, and control subsystems and suggests research paths for integrating existing management subsystems into TBM automation.
AUTOMATION IN CONSTRUCTION
(2024)
Review
Construction & Building Technology
Alireza Shamshiri, Kyeong Rok Ryu, June Young Park
Summary: This paper reviews the application of text mining and natural language processing in the construction field, highlighting the need for automation and minimizing manual tasks. The study identifies potential research opportunities in strengthening overlooked construction aspects, coupling diverse data formats, and leveraging pre-trained language models and reinforcement learning.
AUTOMATION IN CONSTRUCTION
(2024)
Article
Construction & Building Technology
Zhengyi Chen, Hao Wang, Keyu Chen, Changhao Song, Xiao Zhang, Boyu Wang, Jack C. P. Cheng
Summary: This study proposes an improved coverage path planning system that leverages building information modeling and robotic configurations to optimize coverage performance in indoor environments. Experimental validation shows the effectiveness and applicability of the system. Future research will focus on further enhancing coverage ratio and optimizing computation time.
AUTOMATION IN CONSTRUCTION
(2024)
Review
Construction & Building Technology
Yonglin Fu, Junjie Chen, Weisheng Lu
Summary: This study presents a review of human-robot collaboration (HRC) in modular construction manufacturing (MCM), focusing on tasks, human roles, and interaction levels. The review found that HRC solutions are applicable to various MCM tasks, with a primary focus on timber component production. It also revealed the diverse collaborative roles humans can play and the varying levels of interaction with robots.
AUTOMATION IN CONSTRUCTION
(2024)
Article
Construction & Building Technology
Qiong Liu, Shengbo Cheng, Chang Sun, Kailun Chen, Wengui Li, Vivian W. Y. Tam
Summary: This paper presents an approach to enhance the path-following capability of concrete printing by integrating steel cables into the printed mortar strips, and validates the feasibility and effectiveness of this approach through experiments.
AUTOMATION IN CONSTRUCTION
(2024)
Article
Construction & Building Technology
Honghu Chu, Lu Deng, Huaqing Yuan, Lizhi Long, Jingjing Guo
Summary: The study proposes a method called Cascade CATransUNet for high-resolution crack image segmentation. This method combines the coordinate attention mechanism and self-cascaded design to accurately segment cracks. Through a customized feature extraction architecture and an optimized boundary loss function, the proposed method achieves impressive segmentation performance on HR images and demonstrates its practicality in UAV crack detection tasks.
AUTOMATION IN CONSTRUCTION
(2024)
Article
Construction & Building Technology
Daniel Lamas, Andres Justo, Mario Soilan, Belen Riveiro
Summary: This paper introduces a new method for creating synthetic point clouds of truss bridges and demonstrates the effectiveness of a deep learning approach for semantic and instance segmentation of these point clouds. The proposed methodology has significant implications for the development of automated inspection and monitoring systems for truss bridges.
AUTOMATION IN CONSTRUCTION
(2024)
Article
Construction & Building Technology
Kahyun Jeon, Ghang Lee, Seongmin Yang, Yonghan Kim, Seungah Suh
Summary: This study proposes two enhanced unsupervised text classification methods for domain-specific non-English text. The results of the tests show that these methods achieve excellent performance on Korean building defect complaints, outperforming state-of-the-art zero-shot and few-shot text classification methods, with minimal data preparation effort and computing resources.
AUTOMATION IN CONSTRUCTION
(2024)
Article
Construction & Building Technology
Yoonhwa Jung, Julia Hockenmaier, Mani Golparvar-Fard
Summary: This study introduces a transformer-based natural language processing model, UNIfORMATBRIDGE, that automatically labels activities in a project schedule with Uniformat classification. Experimental results show that the model performs well in matching unstructured schedule data to Uniformat classifications. Additionally, the study highlights the importance of this method in developing new techniques.
AUTOMATION IN CONSTRUCTION
(2024)
Article
Construction & Building Technology
De-Graft Joe Opoku, Srinath Perera, Robert Osei-Kyei, Maria Rashidi, Keivan Bamdad, Tosin Famakinwa
Summary: This paper introduces a digital twin technology combining Building Information Modelling and the Internet of Things for the construction industry, aiming to optimize building conditions. The technology is implemented in a university library, successfully achieving real-time data capture and visual representation of internal conditions.
AUTOMATION IN CONSTRUCTION
(2024)
Article
Construction & Building Technology
Zaolin Pan, Yantao Yu
Summary: The construction industry faces safety and workforce shortages globally, and worker-robot collaboration is seen as a solution. However, robots face challenges in recognizing worker intentions in construction. This study tackles these challenges by proposing a fusion method and investigating the best granularity for recognizing worker intentions. The results show that the proposed method can recognize multi-granular worker intentions effectively, contributing to seamless worker-robot collaboration in construction.
AUTOMATION IN CONSTRUCTION
(2024)
