Article
Engineering, Industrial
Sochea Khan, Kriengsak Panuwatwanich, Sasiporn Usanavasin
Summary: This paper presents a developed BIMxAR application that integrates building information modeling (BIM) with augmented reality (AR) and is linked with a real-time online database to support building facility management work. The primary aim of the research is to develop and empirically examine the applicability of the BIMxAR application in building facility management.
ENGINEERING CONSTRUCTION AND ARCHITECTURAL MANAGEMENT
(2023)
Article
Engineering, Industrial
Zeineb Boumallessa, Houssam Chouikhi, Mounir Elleuch, Hatem Bentaher
Summary: This work proposes an integrated approach for joint control of production, quality, and maintenance in a single machine production system. The approach considers machine degradation and product quality simultaneously to make maintenance decisions for improving machine reliability. A coupling function h(x,y) is used to link the quality indicator and machine degradation level for generating a maintenance schedule. The objective is to minimize the average total cost per unit of time based on maintenance and production costs, and a mathematical model is developed for optimization.
RELIABILITY ENGINEERING & SYSTEM SAFETY
(2023)
Article
Engineering, Civil
Li-Hsi Yang, Liuya Xu, Wei-Chih Wang, Shih-Hsu Wang
Summary: This study developed a new model for campus facility maintenance management, enabling maintenance staff to maintain water dispensers at optimal times and select the shortest maintenance path. Through the integration of multiple algorithms, systematic establishment of maintenance strategies to determine the optimal dispatch time for maintenance staff and maintenance path were achieved.
KSCE JOURNAL OF CIVIL ENGINEERING
(2021)
Article
Green & Sustainable Science & Technology
John D. Foster, Jess W. Everett, William T. Riddell
Summary: This research focuses on data transfer from Sustainable Facility Management (SFM) to Building Information Modeling (BIM) applications, specifically BUILDER SMS to Autodesk Revit, for creating BIM models of existing buildings. Two methods, based on alphanumeric identifier and name, were compared for data compatibility and model completion time. The name method was faster in terms of data compatibility, while the identifier method resulted in shorter model completion times. The difference in total effort required by the methods was not large.
Article
Construction & Building Technology
Trevor Betz, Khaled El-Rayes, Michael Grussing, Louis Bartels
Summary: Maintenance planning of civil infrastructure is complex due to uncertainty and budgeting difficulties. This paper proposes a novel methodology that integrates Markov chain Monte Carlo process and mixed integer programming model to optimize repair planning under uncertainty. The proposed method outperforms non-linear approaches in terms of computational time and consistently meeting a facility health metric at a minimal cost. A case study using data from the U.S. Army Corps of Engineers demonstrates the feasibility of the proposed approach for building infrastructure maintenance.
JOURNAL OF BUILDING ENGINEERING
(2023)
Review
Engineering, Industrial
Lei Zhu, Ming Shan, Zhao Xu
Summary: This study reviews the issues and research related to building handover in construction and facility management journals, analyzing research trends, major challenges, and proposed solutions. The results show increasing research interest in building handover, with key challenges including post-construction defects, poor information fidelity, and interoperability issues between BIM and FM technologies. Researchers emphasize the importance of identifying information requirements, improving the handover process, and enhancing interoperability between BIM and FM for successful building handover.
ENGINEERING CONSTRUCTION AND ARCHITECTURAL MANAGEMENT
(2021)
Article
Robotics
Florent Lamiraux, Joseph Mirabel
Summary: This article introduces a software platform called humanoid path planner tailored for prehensile manipulation planning. The platform uses a constraint graph to model manipulation planning and extends the RRT algorithm to solve a variety of problems. It also provides replicable experimental results through a Docker image for readers to download and run on their own.
IEEE TRANSACTIONS ON ROBOTICS
(2022)
Review
Construction & Building Technology
Yu Cao, Syahrul Nizam Kamaruzzaman, Nur Mardhiyah Aziz
Summary: Green buildings have become a worldwide trend, and building information modeling (BIM) has been identified as an effective method to improve their operation and maintenance quality. This study conducted a systematic literature review to comprehensively evaluate the capabilities of BIM in the operation and maintenance phase of green buildings. The findings identified various aspects in which BIM can be utilized, discussed the challenges and shortcomings associated with BIM capabilities, and provided suggestions for future research.
Review
Engineering, Industrial
Mahdieh Sedghi, Osmo Kauppila, Bjarne Bergquist, Erik Vanhatalo, Murat Kulahci
Summary: This article reviews the literature in decision support models for railway track maintenance planning and scheduling and transforms the results into a problem taxonomy. Furthermore, the article discusses current approaches in optimizing maintenance planning and scheduling, research trends, and possible gaps in the related decision-making models.
RELIABILITY ENGINEERING & SYSTEM SAFETY
(2021)
Article
Construction & Building Technology
Zhen Liu, Ziheng An, Mohamed Osmani
Summary: This paper investigates the integration of building information modeling (BIM), sport, and facilities using a quantitative research method and bibliometric tools. The study reveals the current research status, hotspots, emerging areas, and development trends in this field. The findings highlight the importance of keywords such as BIM, facility management, framework, management, sport, construction, and design. Additionally, the application of deep learning, IoT, and immersive experience technologies are identified as current hot topics for future innovative breakthroughs.
Article
Automation & Control Systems
Lijun Yue, Houming Fan
Summary: This study introduces a dynamic scheduling process to solve the delay issue of automated guided vehicles (AGVs) in uncertain environments and proposes a two-stage mixed integer optimization model to minimize the transportation cost of AGVs. Numerical experiments are conducted to demonstrate the effectiveness of the proposed methods.
IEEE-CAA JOURNAL OF AUTOMATICA SINICA
(2022)
Article
Construction & Building Technology
Jiepeng Liu, Yuxing Cao, Yibing Xue, Dongsheng Li, Liang Feng, Y. Frank Chen
Summary: In this paper, a 2step memetic algorithm is proposed for automatic masonry unit layout, and the layout results are automatically generated through the tool developed by the Revit API. Validation experiments are conducted on different sets of masonry structures and a building case, confirming the effectiveness and efficiency of the proposed approach.
AUTOMATION IN CONSTRUCTION
(2021)
Article
Computer Science, Interdisciplinary Applications
Xiongwei Huang, Yongping Liu, Lizhen Huang, Sverre Stikbakke, Erling Onstein
Summary: This study combines BIM and drone technology to propose a systematic approach for generating feasible inspection paths for exterior building surfaces. By combining basic and advanced functions, high coverage rates, obstacle avoidance, and collision-free operation can be achieved while enhancing computation efficiency. The effectiveness of the method is demonstrated through a case study and simulation experiments.
COMPUTERS IN INDUSTRY
(2023)
Article
Engineering, Civil
Van-Linh Nguyen, Ren-Hung Hwang, Po-Ching Lin
Summary: This study proposes a path planning and traffic clear-out scheduling scheme to reduce the travel time of emergency vehicles. By controlling dynamic traffic and coordinating traffic lights, the system outperforms traditional methods in simulation, especially in congested or heavily trafficked road segments.
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS
(2022)
Article
Environmental Sciences
Hao Chen, Yuheng Liang, Xing Meng
Summary: An unmanned aerial vehicle (UAV) path planning method is proposed to obtain more building surface information with fewer images, utilizing an opposition-based learning artificial bee colony (OABC) algorithm. A target information entropy ratio model based on observation angles is proposed to evaluate the obtained information, considering the observation angle constraints under different conditions. The experiments conducted on real residential buildings show that the proposed method effectively reduces the number of images needed for 3D reconstruction while maintaining comparable accuracy, significantly reducing operation time and improving efficiency.
Review
Computer Science, Interdisciplinary Applications
Qian Wang, Yi Tan, Zhongya Mei
ARCHIVES OF COMPUTATIONAL METHODS IN ENGINEERING
(2020)
Editorial Material
Construction & Building Technology
Qian Wang
JOURNAL OF CONSTRUCTION ENGINEERING AND MANAGEMENT
(2020)
Article
Construction & Building Technology
Jack C. P. Cheng, Keyu Chen, Peter Kok-Yiu Wong, Weiwei Chen, Chun Ting Li
Summary: The paper discusses the importance of evacuation navigation in emergencies like fires and proposes a method that combines real-time video and Internet of Things sensor networks with deep learning algorithms for rapid path planning in changing environments. This approach allows for real-time evacuation navigation in large-scale buildings.
BUILDING RESEARCH AND INFORMATION
(2021)
Article
Environmental Sciences
Yi Tan, Silin Li, Qian Wang
Article
Computer Science, Interdisciplinary Applications
Jingjing Guo, Qian Wang, Yiting Li
Summary: The study introduces a semi-supervised learning algorithm that trains an accurate classifier using only a small amount of labeled data, and improves classification accuracy by selecting reliable unlabeled data with an uncertainty filter. Validation experiments show that the proposed method significantly enhances model accuracy compared to traditional supervised learning algorithms, while also reducing the time and cost for preparing labeled data.
COMPUTER-AIDED CIVIL AND INFRASTRUCTURE ENGINEERING
(2021)
Review
Construction & Building Technology
Wenhui Liu, Hong Zhang, Qian Wang, Tianran Hua, Hong Xue
Summary: Prefabricated building has become a significant research direction in the AEC industry, attracting scholars and practitioners worldwide. Through analysis of co-authors, co-words, and co-citation, this study identified China and Tongji University as key players in prefabricated building research. The top subject categories included engineering, civil engineering, and construction, while keywords like cladding panel and precast concrete received citation bursts.
ADVANCES IN CIVIL ENGINEERING
(2021)
Article
Construction & Building Technology
Boyu Wang, Chao Yin, Han Luo, Jack C. P. Cheng, Qian Wang
Summary: This study introduces a fully automated approach to converting terrestrial laser scanning data to well-connected as-built BIMs for MEP scenes. By dividing MEP components into regular and irregular shapes, a 2D to 3D analysis framework is developed to detect objects and extract accurate geometry information.
AUTOMATION IN CONSTRUCTION
(2021)
Article
Construction & Building Technology
Liang Zhao, Hong Zhang, Qian Wang, Haining Wang
Summary: In the face of increasingly severe global energy environment, effective management and use of renewable energy are needed in the construction industry. The application of BIM technology for evaluating retrofitting schemes of existing buildings is crucial for improving energy efficiency.
ADVANCES IN CIVIL ENGINEERING
(2021)
Article
Construction & Building Technology
Jingyuan Tang, Han Luo, Weiwei Chen, Peter Kok-Yiu Wong, Jack C. P. Cheng
Summary: This study investigates a method for IMU-based full-body pose estimation of construction machines, and proposes a kinematics-based trajectory generation method and an optimal installation scheme for IMU sensors.
AUTOMATION IN CONSTRUCTION
(2022)
Article
Engineering, Industrial
Jiaying Zhang, Jack C. P. Cheng, Weiwei Chen, Keyu Chen
Summary: The lack of integration between the digital and physical world in the construction industry can be addressed by utilizing digital twin technology. This study proposes a framework to extend building information modeling (BIM) and utilize digital twins for construction site management. The research analyzes and improves the operation principle and mechanism of digital twins and highlights the challenges faced by BIM, Internet of Things (IoT), and data processes in practical applications.
JOURNAL OF MANAGEMENT IN ENGINEERING
(2022)
Article
Construction & Building Technology
Vincent J. L. Gan
Summary: This study aims to optimize the carbon footprint and construction cost of offsite construction through a system approach using building information modeling (BIM) and automatic generative design. The proposed method empowers 3D geometric modeling and geometry-based design automation, enabling comprehensive exploration of design alternates. The results indicate that the proposed method can support automated design exploration at early stages, helping to identify optimal solutions for more informed decision making.
JOURNAL OF CONSTRUCTION ENGINEERING AND MANAGEMENT
(2022)
Article
Construction & Building Technology
Mershack O. Tetteh, Amos Darko, Albert P. C. Chan, Amirhosein Jafari, Ioannis Brilakis, Weiwei Chen, Gabriel Nani, Sitsofe Kwame Yevu
Summary: Green retrofitting of existing buildings (GREB) is an effective approach to reduce energy consumption and carbon emissions and improve people's well-being. However, there is a lack of comprehensive investigation into the value of research in this field. This study uses a scientometric review technique to analyze global research on GREB and provides insights for future research. The findings reveal the focus on energy efficiency retrofitting and the declining importance of occupant behavior and indoor environmental quality in current GREB practices.
ENERGY AND BUILDINGS
(2022)
Article
Construction & Building Technology
Liang Zhao, Hong Zhang, Qian Wang, Bo Sun, Wenhui Liu, Kaichen Qu, Xiumei Shen
Summary: This study evaluates the ventilation design schemes of public toilets using a digital twin. By increasing the number and volume of air exchanges and controlling the installation height of exhaust vents, significant improvements in indoor environmental health and ventilation efficiency can be achieved.
Article
Environmental Studies
Shu Su, Chen Zhu, Xiaodong Li, Qian Wang
Summary: This study evaluated the dynamic life cycle global warming impact of a residential building in China by considering various temporal variables and using dynamic assessment tools. The findings showed significant differences in the effects of different dynamic variables on the global warming impacts of the building. This study provides a dynamic assessment model and dynamic data for the assessment of global warming impacts of buildings in China.
ENVIRONMENTAL IMPACT ASSESSMENT REVIEW
(2021)
Review
Construction & Building Technology
Linfeng Mei, Qian Wang
Summary: This paper comprehensively reviews the previous research on structural optimization in the field of civil engineering, analyzing optimization objectives, trends, and processes while also identifying research limitations and proposing future directions. It provides critical insights into the achievements and challenges of current research, offering guidelines for future studies in structural optimization.
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)
