Review
Construction & Building Technology
Mi Pan, Yi Yang, Zhenjie Zheng, Wei Pan
Summary: This paper explores future research directions on the application of artificial intelligence and robotics (AIR) for prefabricated and modular construction. Through a systematic literature review and a philosophical framework, the paper synthesizes previous research activities and proposes five directions for future research and practices.
JOURNAL OF CONSTRUCTION ENGINEERING AND MANAGEMENT
(2022)
Article
Construction & Building Technology
Funmilayo Ebun Rotimi, Firas Majthoub Almughrabi, Don Amila Sajeevan Samarasinghe, Chathurani Silva
Summary: This study aims to determine relevant skills in the prefabricated residential construction sector in New Zealand and suggest improvement measures. The study found that training the construction workforce and sourcing skilled workers from abroad could improve skill shortages. It also revealed that barriers to healthier prefabrication uptake are linked to shortages in management, digital architecture and design, and vocational skills.
Article
Construction & Building Technology
Yimeng Tian, Sabrina Spatari
Summary: Due to rapid urbanization, the construction industry in China consumes a significant quantity of material and is responsible for considerable greenhouse gas emissions. Prefabricated construction methods are promoted by the Chinese government because of their potential environmental and economic benefits. This study compares the environmental impact of prefabrication methods and traditional methods using life cycle assessment and finds that prefabrication methods offer more environmental advantages in all aspects except for marine eutrophication.
JOURNAL OF BUILDING ENGINEERING
(2022)
Article
Construction & Building Technology
Patricia Fernandes Rocha, Nuno Oliveira Ferreira, Doris Queiroz, Nelson Bento Pereira
Summary: Recently, there has been a push for more significant use of prefabrication in building construction as a means to reduce environmental impacts. While there have been advancements in pitched roofs, such as sandwich panels and lightweight roof panels, developments for flat roofs have been limited. This article presents the ADAPTIVE system, which offers a sustainable and efficient solution for flat roof rehabilitation through complete prefabrication, zero waste, and the integration of energy efficient features such as rainwater collection and rooftop gardens. The system has been validated through theoretical modeling and meets high standards for thermal, acoustic, and structural performance.
Article
Engineering, Industrial
Gulden Gumusburun Ayalp, Ilhami Ay
Summary: This study identified eight critical factor groups affecting the use of prefabricated construction systems in Turkey, and proposed potential solutions and recommendations based on these factors to facilitate their implementation. Little previous research has provided insight into the specific factors limiting the use of prefabricated construction systems, making this study valuable for expanding their use.
ENGINEERING CONSTRUCTION AND ARCHITECTURAL MANAGEMENT
(2021)
Article
Construction & Building Technology
Mohammad Almashaqbeh, Khaled El-Rayes
Summary: This paper proposes an optimization model for construction planners to minimize the cost and maximize the functional performance of modular construction projects. The model quantifies the impact of room dimensions on cost and performance, generates optimal tradeoffs, and has a positive impact on practice.
JOURNAL OF BUILDING ENGINEERING
(2021)
Article
Construction & Building Technology
Zhiming Zhang, Yongtao Tan, Long Shi, Lei Hou, Guomin Zhang
Summary: The prefabricated construction market in Australia has been experiencing rapid growth in recent years. This study aims to fill the gap in existing research by identifying and discussing the major changes and challenges in the current Australian prefabricated construction industry. Through literature reviews and industry interviews, factors reflecting these changes and challenges were identified, and recommendations were made to address them.
Article
Construction & Building Technology
Bertrand Teodosio, Mohamed Al-Hussein, Haitao Yu, Kasun Shanaka Kristombu Baduge, Priyan Mendis
Summary: The use of precast systems in construction can reduce material wastage, minimize weather impacts, cut costs, decrease reliance on skilled labor, and minimize construction hazards. However, the development of precast substructures or foundation systems for lightweight buildings needs to consider functionality and susceptibility to damage caused by expansive soils. This study assesses the ultimate strength and serviceability of a developed precast concrete wall substructure through laboratory testing and finite element modeling.
JOURNAL OF BUILDING ENGINEERING
(2022)
Article
Engineering, Industrial
Zhenmin Yuan, Yuan Chang, Yunfeng Chen, Yaowu Wang, Wei Huang, Chen Chen
Summary: This study provides a methodological framework to separate a typical precast wall lifting process into fine-level activities and identifies the pathways to reduce total lifting time and its uncertainty.
ENGINEERING CONSTRUCTION AND ARCHITECTURAL MANAGEMENT
(2022)
Article
Construction & Building Technology
Dayang Wang, Yongshan Zhang, Yong Zhu, Chengqing Wu, Yun Zhou, Qihao Han
Summary: This study focuses on the seismic performance of a new sustainable modular prefabrication composite shear panel (MPCSP) system, investigating the mechanical characteristics of different assembly ways and parameters. The vertical assembled MPCSP system shows excellent seismic performance, with the best performance achieved at an aspect ratio of 1. Design parameters such as height-thickness ratio of steel plate and bolt distance significantly influence the mechanical performance of the system, while the distance of bolts, spacing between concrete cover plates (RCCPs) and connection steel plates (CSPs), and the thickness of CSP have a more significant impact.
JOURNAL OF CONSTRUCTIONAL STEEL RESEARCH
(2021)
Article
Engineering, Industrial
Ahmadian Fard Fini, Mojtaba Maghrebi, Perry John Forsythe, Travis Steven Waller
Summary: This research proposes a low-cost automated method for measuring onsite installation productivity of prefabricated systems. The developed algorithms perform nearly real-time productivity computations through exact matching of actual installation process and digital design layout, demonstrating high accuracy and noninterpretive use of the proposed method.
ENGINEERING CONSTRUCTION AND ARCHITECTURAL MANAGEMENT
(2022)
Article
Construction & Building Technology
Aiyan Xu, Yiyun Zhu, Zhengping Wang, Yue Zhao
Summary: Prefabricated buildings play a crucial role in achieving carbon peak and carbon neutral goals in the construction field. However, research on the carbon emissions of prefabricated buildings and components is limited. In this study, a carbon emission calculation model for prefabricated components was established, and a comparative analysis was conducted on the carbon emissions of two residential buildings. The results showed that the carbon emissions of prefabricated concrete composite slabs were lower than cast-in-place floor slabs in the production and construction stages. The study provides a scientific method for calculating the carbon emissions of prefabricated components and contributes to the understanding of building carbon emissions.
JOURNAL OF BUILDING ENGINEERING
(2023)
Article
Construction & Building Technology
YeEun Jang, JeongWook Son, Sungjoo Hwang
Summary: This study focuses on precast concrete construction in the off-site construction method and reveals the characteristics of OSC project management. It also puts forward the requirements for developing an OSC project management system. These research findings provide a theoretical basis and guidance for future OSC project management techniques.
Article
Engineering, Civil
Can Mei, Yongshan Zhang, Dayang Wang, Chengqing Wu, Yizhe Xu
Summary: This paper investigates the optimal ratios of width-to-thickness of connection steel plate (CSP), thickness ratio between CSP and inner steel plates (ISP), and width-to-thickness ratio of modular fabricated two-side connected buckling-restrained steel plate (MTBSP) shear wall. The finite element model (FEM) demonstrates the mechanical behavior of the MTBSP shear wall effectively, with results indicating a beneficial ratio range for α(1), α(2), and α(3) for ensuring mechanical performance. This research supports reliable design of the MTBSP shear wall.
Article
Green & Sustainable Science & Technology
Finn Guenther Feldmann, Hendrik Birkel, Evi Hartmann
Summary: Modular construction is a feasible solution to improve productivity, reduce building times, and address environmental burdens in the construction industry. However, widespread adoption is hindered by various interconnected barriers. This study examines the interconnections of these barriers from a developer's perspective and identifies the most critical factors for promoting modular construction.
JOURNAL OF CLEANER PRODUCTION
(2022)
Article
Construction & Building Technology
Clive Q. X. Poh, Chalani Udhyami Ubeynarayana, Yang Miang Goh
AUTOMATION IN CONSTRUCTION
(2018)
Article
Construction & Building Technology
Rita I. Lestari, Brian H. W. Guo, Yang Miang Goh
JOURNAL OF CONSTRUCTION ENGINEERING AND MANAGEMENT
(2019)
Article
Construction & Building Technology
Yoyo Yi Ru Lee, Hana Samad, Yang Miang Goh
JOURNAL OF CONSTRUCTION ENGINEERING AND MANAGEMENT
(2020)
Article
Engineering, Civil
Wei Tian, Xingju Zhong, Guangmin Zhang, Yang Miang Goh
Summary: This study aimed to provide a reasonable and effective method for assessing the sustainability of reused industrial buildings. Through a project investigation, factors influencing sustainability were analyzed, the indicator system was optimized, and a multi-level assessment model was established. The validation of the assessment method showed its effectiveness and practicality in improving decision-making for sustainability and determining the sustainability level of reused industrial buildings by relevant rating agencies.
JOURNAL OF CIVIL ENGINEERING AND MANAGEMENT
(2021)
Review
Engineering, Industrial
Brian H. W. Guo, Yang Zou, Yihai Fang, Yang Miang Goh, Patrick X. W. Zou
Summary: This paper investigates the current status of applying computer vision technology to construction safety, examines the links between computer vision applications and key research themes of construction safety, discusses the theoretical challenges of applying computer vision to construction safety, and recommends future research directions. The majority of past efforts have focused on object recognition, object tracking, and action recognition, with limited research focused on recognizing unsafe behavior.
Article
Engineering, Industrial
Brian H. W. Guo, Rory Weston, Paul Jianphinitnan, Wanjun Liu, Eric Scheepbouwer, Daniel van der Walt, Yang Miang Goh
Summary: This study examines the impact of the New Zealand Health and Safety at Work Act 2015 on SiD knowledge, attitude, and practices, as well as stakeholders' perceptions and implementation challenges. The industry shows a positive attitude towards SiD but faces various challenges in implementation. Participants raised concerns over the vagueness of the HSWA 2015 and the lack of good practice examples.
Article
Computer Science, Interdisciplinary Applications
Yang Miang Goh, Jing Tian, Eugene Yan Tao Chian
Summary: This study proposes a computer vision-based smart monitoring system to automatically detect worker breaching safe distancing rules on construction sites. Through a case study, it is demonstrated that monitoring of safe distancing can be automated using this approach, and the anchorless detection model CenterNet outperforms current state-of-the-art approaches in the real-time detection of workers.
COMPUTERS & INDUSTRIAL ENGINEERING
(2022)
Article
Ergonomics
Yimin He, Yueng-Hsiang Huang, Jin Lee, Bailey Lytle, Ashan Senel Asmone, Yang Miang Goh
Summary: The current study utilized a mixed-methods approach to examine safety climate among truck drivers and strategies for improving it. Positive and negative factors affecting safety climate perceptions were identified, along with discriminative items for evaluating and differentiating safety climate in the trucking industry. Recommendations for promoting organizational safety climate were also provided based on the study's results.
ACCIDENT ANALYSIS AND PREVENTION
(2022)
Article
Education & Educational Research
Sufiana Safiena, Yang Miang Goh
Summary: This study developed an extended authentic learning framework and designed a digital simulation game for teaching workplace safety and health education. The results showed that guidance and game interaction are critical factors for perceived achievement of learning outcomes, and students generally accepted the game.
JOURNAL OF ENGINEERING EDUCATION
(2022)
Article
Engineering, Industrial
Fan Yang, Yang Miang Goh
Summary: This paper addresses the lack of pedagogies in the design and development of VR/MR learning content for safety management education. The study uses the authentic learning framework to design an immersive VR/MR simulation-based activity and compares its effectiveness to a recorded video lesson. The results show that while the VR/MR simulation improves motivation, it does not significantly impact knowledge improvement and perceived effectiveness of the lesson, suggesting difficulties in operationalising the guidance factor in the authentic learning framework.
Article
Engineering, Industrial
Junwei Zheng, Xueqin Gou, Mark A. Griffin, Yang Miang Goh, Nini Xia
Summary: This study examines how temporal leadership influences individual safety behaviors by applying social information processing theory. The results show that attentiveness mediates the relationship between temporal leadership and safety compliance and safety participation. The study also identifies the moderating roles of team abusive supervision and individual safety consciousness in this relationship.
Article
Ergonomics
Shazed Mohammad Tashrif, Wen Cong Lim, Yang Miang Goh, Xinping Hu, Soo Jin Adrian Koh
Summary: A study has found significant discrepancies between theoretical calculations and empirical values for total fall distance and maximum arrest load in horizontal lifeline systems. As a result, correction factors have been introduced to estimate these values more conservatively.
INTERNATIONAL JOURNAL OF OCCUPATIONAL SAFETY AND ERGONOMICS
(2022)
Article
Ergonomics
Wen Cong Lim, Shazed Mohammad Tashrif, Yang Miang Goh, Soo Jin Adrian Koh
INTERNATIONAL JOURNAL OF OCCUPATIONAL SAFETY AND ERGONOMICS
(2019)
Article
Ergonomics
Yang Miang Goh, Chalani U. Ubeynarayana, Karen Le Xin Wong, Brian H. W. Guo
ACCIDENT ANALYSIS AND PREVENTION
(2018)
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)
