Article
Computer Science, Information Systems
Junxiang Zhu, Peng Wu
Summary: This study aims to clarify the meaning of geo-referencing in the context of BIM/GIS data integration and develop a common geo-referencing approach for IFC. Through a systematic investigation into the IFC standard, a common geo-referencing approach was established, supporting automatic geo-referencing.
ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION
(2021)
Article
Computer Science, Information Systems
Xiu Lu, Guannan Li, Andong Wang, Qingqin Xiong, Bingxian Lin, Guonian Lv
Summary: Photovoltaic energy generation is gaining attention for its efficiency and environmental benefits. An accurate evaluation of building surfaces for photovoltaic potential is crucial. A method was developed using Industry Foundation Classes to accurately extract facades and roofs for evaluation. Simulation results from a building in Xuzhou, Jiangsu province, China, showed significant photovoltaic potential on the facades. Sensitivity studies confirmed the reasonability of the determined conditions.
ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION
(2021)
Review
Construction & Building Technology
Liu Liu, Bofeng Li, Sisi Zlatanova, Peter van Oosterom
Summary: The paper discusses the importance of Building Information Modeling (BIM) for indoor navigation and current research directions. IFC provides semantics and geometry information of buildings, playing a crucial role in indoor navigation research.
AUTOMATION IN CONSTRUCTION
(2021)
Article
Construction & Building Technology
M. K. Bracht, A. P. Melo, R. Lamberts
Summary: This study describes the development and validation of a tool that integrates BIM and metamodels to predict thermal load of dwellings through gbXML, showing its feasibility. However, inconsistencies in gbXML files from different BIM authoring tools were observed, requiring manual adjustments. This highlights the importance of standardized exportation tools for open interoperability formats by software manufacturers.
AUTOMATION IN CONSTRUCTION
(2021)
Article
Construction & Building Technology
Roberto Sanz-Jimeno, Sonia Alvarez-Diaz
Summary: The use of Building Automation and Control Networks (BACN) has many benefits for the control and management of buildings. Integrating BACN with Building Information Modelling (BIM) presents challenges in terms of interoperability.
JOURNAL OF BUILDING ENGINEERING
(2023)
Article
Green & Sustainable Science & Technology
Widya Nita Suliyanti, Riri Fitri Sari
Summary: This study aims to explore BIM information exchange among various parties involved in building projects securely throughout the entire building lifecycle using blockchain technology. It facilitates secure information exchange among multiple participants and can be implemented throughout the building lifecycle.
Review
Construction & Building Technology
Tongrui Zhang, Dat Tien Doan, Jing Kang
Summary: This study investigates the potential of integrating BIM and blockchain for distributed storage and computing in the AEC/FM industry. The integration is expected to provide trusted networks, reduce the risk of operating failures, and facilitate effective implementation of working collaboration.
JOURNAL OF BUILDING ENGINEERING
(2023)
Article
Computer Science, Information Systems
Babu Pillai, Kamanashis Biswas, Zhe Hou, Vallipuram Muthukkumarasamy
Summary: This paper reviews the latest advancements in blockchain integration systems, analyzes the integration characteristics of cross-blockchain technology, and proposes an integration design decision framework to reduce security risks and performance degradation.
Article
Chemistry, Analytical
Shaofei Lu, Jingru Pei, Renke Zhao, Xiaochen Yu, Xuyang Zhang, Junyi Li, Guanzhong Yang
Summary: Cross-chain interoperability can enhance data interaction and value circulation between different blockchains, especially industry consortium blockchains. However, current cross-chain technologies and data migration schemes between consortium blockchains need improvement to meet the requirements for efficient two-way data interaction.
Article
Construction & Building Technology
Qi Qiu, Xiaoping Zhou, Jichao Zhao, Yalong Yang, Shunyu Tian, Jia Wang, Jiayin Liu, Hui Liu
Summary: This study proposes a building element identification scheme EI-SA using a segmentation-aggregation strategy, which effectively addresses the reusability challenge of sketch BIM models in the design stage. Experimental results verify the effectiveness of EI-SA in identifying building elements.
BUILDING AND ENVIRONMENT
(2021)
Article
Engineering, Industrial
Xiaolong Xue, Xiliang Sun, Weirui Xue, Yaxin Wang, Longhui Liao
Summary: This study aims to understand non-managerial practitioners' perceptions toward working with BIM in China by proposing a new BIM acceptance model and conducting a survey with 153 non-managerial practitioners in the Chinese AECO industry. The findings suggest that performance expectancy and task-technology fit significantly and positively influence behavioral intention to accept BIM among non-managerial practitioners in China.
ENGINEERING CONSTRUCTION AND ARCHITECTURAL MANAGEMENT
(2022)
Article
Computer Science, Interdisciplinary Applications
Hafiz Muhammad Faisal Shehzad, Roliana Binti Ibrahim, Ahmad Fadhil Yusof, Khairul Anwar Mohamed Khaidzir, Muhammad Iqbal, Saad Razzaq
Summary: BIM is a paradigm shift in the AEC industry that offers benefits such as cost reduction and quality improvement, but faces challenges in data interoperability. Future research should focus on exploring various dimensions of interoperability to enhance collaborative project delivery.
COMPUTERS IN INDUSTRY
(2021)
Article
Construction & Building Technology
Xin Lan, Jie Cao, Guonian Lv, Liangchen Zhou
Summary: This study proposes a conversion method from an IFC model to spatial grid for indoor airflow simulation, automatically constructing the spatial grid using existing IFC models without re-modeling, thus providing important support for indoor airflow modeling. The integrated simulation framework simplifies the simulation operation and is conducive to the wide use of indoor airflow simulation in architectural design and design optimization, providing reference for related numerical simulation research and digital city modeling.
JOURNAL OF BUILDING ENGINEERING
(2021)
Article
Computer Science, Information Systems
Qingxiang Chen, Jing Chen, Wumeng Huang
Summary: The study introduces a semantics-based method for visualizing large-scale BIM models in indoor and outdoor environments, organizing BIM models based on a latitude-longitude grid in the outdoor environment and proposing a scheduling algorithm for integrated visualization in indoor and outdoor environments considering BIM semantics. This method efficiently visualizes complex buildings in both indoor and outdoor scenes while maintaining high frame rates by considering BIM semantics and loading only necessary data.
ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION
(2021)
Article
Computer Science, Information Systems
Gaoyong Han, Zhiyong Feng, Shizhan Chen, Xiao Xue, Hongyue Wu, Zongju Yang, Hongqi Chen
Summary: The traditional industrial chain relies on signed contracts to maintain the relationship between familiar entities. However, lack of trust between unfamiliar entities hinders collaboration and allows dominant enterprises to capture most of the profits. This paper proposes a Decentralized Industry Alliance (DIA) business model, supported by a blockchain-based information system that uses smart contracts for transactions and profit distribution. The DIA enables unfamiliar entities to trust each other without third-party intervention, promotes industry expansion, and ensures fair value distribution.
JOURNAL OF KING SAUD UNIVERSITY-COMPUTER AND INFORMATION SCIENCES
(2023)
Article
Management
Weisheng Lu, Frank Ato Ghansah, Jinying Xu
Summary: Two generic approaches, the 'category' approach and the 'index' approach, have been used to measure the level of prefabrication in construction. However, these approaches face difficulties in accurately understanding the extent of prefabrication in a building project. To tackle this issue, this study developed a 'category and index hybrid' (CIH) approach that provides a comprehensive measurement of prefabrication. The approach was validated through measuring 15 high-rise building projects in Hong Kong and conducting interviews with industry stakeholders. The results showed that the CIH approach effectively captured the different types and extent of prefabrication usage in buildings.
INTERNATIONAL JOURNAL OF CONSTRUCTION MANAGEMENT
(2023)
Article
Business
Benjamin Kwaku Ababio, Weisheng Lu
Summary: This study examines the barriers of implementing the Circular Economy (CE) concept in the construction industry through a systematic analysis of existing knowledge. The findings reveal that different levels of CE implementation are interrelated but may have different barriers and drivers. Five main themes of barriers are identified, and four cross-cutting enablers are proposed to drive the transition to a circular economy. This study serves as a valuable reference for practitioners, policymakers, and research institutions and raises awareness of CE barriers in the construction sector.
CONSTRUCTION MANAGEMENT AND ECONOMICS
(2023)
Article
Green & Sustainable Science & Technology
Vikrom Laovisutthichai, Weisheng Lu
Summary: This study explores the knowledge acquisition, sharing, and implementation of DfMA in real-life practice, and develops a knowledge-to-action framework for architects. Through observations, analysis, and interviews, it reveals that DfMA is a multi-faceted process that involves the iteration of making interdisciplinary knowledge available, deciphering tacit knowledge, and embedding knowledge in a design that considers various criteria, particularly in manufacturing, logistics, and assembly. Architects need to balance their roles as learners, coordinators, leaders, and negotiators to effectively implement DfMA.
SMART AND SUSTAINABLE BUILT ENVIRONMENT
(2023)
Article
Construction & Building Technology
Rui Zhao, Zhe Chen, Fan Xue
Summary: Construction project management (CPM) is complex and distributed, and digital twin and blockchain are considered as promising solutions. This paper proposes ChainPM as a Blockchain 3.0 paradigm, extending Blockchain 2.0 with innovative indexing, query, and analysis functions for key CPM data. Experimental results showed significant reduction in information synchronization latency and the functions of ChainPM worked well without network connections. ChainPM contributes to the trend of Blockchain 3.0 paradigms for CPM digital twins, addressing barriers of internet reliance and information delay.
AUTOMATION IN CONSTRUCTION
(2023)
Article
Green & Sustainable Science & Technology
Liang Yuan, Weisheng Lu, Fan Xue, Maosu Li
Summary: This research aims to develop a simple and satisfactory model for quantifying urban material stock (UMS) by focusing on individual buildings, using building features to estimate material stocks. The model uses machine learning-based regression and provides a useful reference for quantifying UMS in other regions.
JOURNAL OF INDUSTRIAL ECOLOGY
(2023)
Article
Construction & Building Technology
Sou-Han Chen, Fan Xue
Summary: This study proposes an automatic BIM detailing method based on deep features (DFs) and provides experimental evidence for the effectiveness of DFs in improving automatic detailing results.
AUTOMATION IN CONSTRUCTION
(2023)
Article
Computer Science, Interdisciplinary Applications
Dong Liang, Fan Xue
Summary: This paper integrates automated machine learning and interpretability analysis to study the failure mechanism of reinforced concrete shear walls. The results show that the AutoML model outperforms conventional ML methods in terms of accuracy, and the interpretability analysis confirms the trustworthiness of the model.
COMPUTERS IN INDUSTRY
(2023)
Review
Business
Frank Ato Ghansah, Weisheng Lu
Summary: In the past 3 years, the global construction sector has been greatly impacted by the COVID-19 pandemic. Various stakeholders in the construction industry have been actively devising strategies to handle the crisis caused by the pandemic. However, a comprehensive review of the academic contributions and strategies for post-pandemic actions and future pandemics is lacking. This study conducts an up-to-date literature review to address this knowledge gap.
CONSTRUCTION MANAGEMENT AND ECONOMICS
(2023)
Article
Management
Jinying Xu, Weisheng Lu
Summary: This study aimed to investigate the impact of hierarchy steepness on intra-organizational coordination in project-based organizations (PBOs). The results showed that hierarchy steepness had a positive relationship with organizational coordination intensity, but a negative relationship with individual coordination power. These findings challenged the previous notion that hierarchy hinders coordination and highlighted the benefits of a steeper hierarchy. The implications suggest that PBOs should consider strengthening their hierarchical structure to improve intra-organizational coordination.
PROJECT MANAGEMENT JOURNAL
(2023)
Article
Construction & Building Technology
Ziyu Peng, Weisheng Lu, Tongping Hao, Xu Tang, Jianxiang Huang, Chris Webster
Summary: This research aims to develop a novel methodological approach for designers to search for affordable cool spots in dense urban areas by conducting genetic combinatorial optimizations augmented by Random Forest (RF) and Principal Component Analysis (PCA) algorithms. The methodology is tested in a real-world urban renewal project in Hong Kong, showing that the design approach can automatically identify high-performance schemes of cool spot design and decrease construction cost by 82.57%. With proper translation, the approach can serve as a useful and robust design assisting tool for designing and developing cool and cost-aware buildings and neighborhoods in urban areas.
ENERGY AND BUILDINGS
(2023)
Article
Construction & Building Technology
Qianyun Zhou, Fan Xue
Summary: This paper proposes a Symmetric Skeleton Grammar-based Multi-Objective Optimization (SSG-MOO) method for parametric MiC designs, with the objectives of energy efficiency and interior daylight performance. The Pareto optima of the SSG-MOO are computed and analyzed at different levels, demonstrating significant improvements compared to baseline design. The contribution of this paper includes a novel SSG-MOO formulation and time-efficient design tactics for MiC.
ENERGY AND BUILDINGS
(2023)
Article
Green & Sustainable Science & Technology
Weisheng Lu, Ziyu Peng, Chris Webster, Liupengfei Wu
Summary: The massive solid waste from construction and demolition activities is becoming a global crisis due to environmental degradation and land occupation. The promotion of waste material cross-border trading is crucial in solving this crisis, but hindered by asymmetric information between stakeholders. This research proposes a waste material passport (WMP) based on the concept of travel and 'material passports' to facilitate cross-jurisdictional trading and reduce information asymmetry, as demonstrated in a semi-hypothetical case study of the Greater Bay Area, China.
JOURNAL OF CLEANER PRODUCTION
(2023)
Article
Computer Science, Interdisciplinary Applications
Jinying Xu, Jinfeng Lou, Weisheng Lu, Liupengfei Wu, Chen Chen
Summary: Ensuring material provenance is a promising solution to material fraudulence in the construction industry. However, current logistics and supply chain strategies hinder provenance tracing due to intermediaries and low technologies. This research develops a deployable framework for material provenance tracing by applying cross-sectoral learning, design science research, and IoT and blockchain technology. The framework includes four interconnected layers - business layer, IoT layer, blockchain layer, and application layer - to facilitate the management of quality, safety, payment, logistics, and sustainability. A pilot construction project in Hong Kong is used to illustrate and refine the framework, which shows great prospects but also faces challenges requiring future research, such as regulations, scalability, and information leakage risks.
JOURNAL OF INDUSTRIAL INFORMATION INTEGRATION
(2023)
Article
Environmental Sciences
Junjie Chen, Yonglin Fu, Weisheng Lu, Yipeng Pan
Summary: Construction waste sorting is crucial for waste management, but manual sorting poses risks while robotic sorting struggles with recognition. This research developed a human-robot collaboration system using augmented reality to improve sorting accuracy and occupational safety. Results showed a significant improvement in efficiency and safety with the AR-enabled HRC method.
JOURNAL OF ENVIRONMENTAL MANAGEMENT
(2023)
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)