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Dr. Ke Chen
Department of Construction Management, Huazhong University of Science and Technology, Wuhan 430074, China

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Review article
Published: 27 July 2021 in Automation in Construction
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Digital Twin (DT) concept has recently emerged in civil engineering; however, some problems still need to be addressed. First, DT can be easily confused with Building Information Modelling (BIM) and Cyber-Physical Systems (CPS). Second, the constituents of DT applications in this sector are not well-defined. Also, what the DT can bring to the civil engineering industry is still ambiguous. To address these problems, we reviewed 468 articles related to DT, BIM and CPS, proposed a DT definition and its constituents in civil engineering and compared DT with BIM and CPS. Then we reviewed 134 papers related to DT in the civil engineering sector out of 468 papers in detail. We extracted DT research clusters based on the co-occurrence analysis of paper keywords' and the relevant DT constituents. This research helps establish the state-of-the-art of DT in the civil engineering sector and suggests future DT development.

ACS Style

Feng Jiang; Ling Ma; Tim Broyd; Ke Chen. Digital twin and its implementations in the civil engineering sector. Automation in Construction 2021, 130, 103838 .

AMA Style

Feng Jiang, Ling Ma, Tim Broyd, Ke Chen. Digital twin and its implementations in the civil engineering sector. Automation in Construction. 2021; 130 ():103838.

Chicago/Turabian Style

Feng Jiang; Ling Ma; Tim Broyd; Ke Chen. 2021. "Digital twin and its implementations in the civil engineering sector." Automation in Construction 130, no. : 103838.

Journal article
Published: 21 April 2021 in Waste Management
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Estimation of construction waste generation (CWG) at the field scale is a crucial but challenging task for effective construction waste management (CWM). Extant field-scale CWG modeling approaches have faced difficulties in obtaining accurate results due to a lack of detailed CWG data, and most of them fail to consider the complex relationship among predictive variables. This study attempts to tackle this issue by proposing a novel CWG modeling approach that integrates improved on-site measurement (IOM) and a support vector machine (SVM)-based prediction model. To achieve this goal, 206 ongoing commercial construction sites were investigated to obtain the predictor values and waste generation rates (WGRs) of five types of waste (i.e., inorganic nonmetallic waste, organic waste, metal waste, composite waste, and hazardous waste) generated at three construction stages (i.e., the understructure stage, superstructure stage, and finishing stage). The data were introduced to the SVM to develop the relationships between predictive variables and WGRs. An actual commercial building under construction was used to demonstrate the applicability of the proposed approach. The results showed that the superiority of the IOM can be used as a basis to implement robust CWG data collection. In addition, the SVM-based WGR prediction model (SWPM) can obtain more accurate prediction results (R2 = 86.87%) than the back-propagation neural network (R2 = 75.14%) and multiple linear regression (R2 = 61.93%).

ACS Style

Ruibo Hu; Ke Chen; Weiya Chen; Qiankun Wang; Hanbin Luo. Estimation of construction waste generation based on an improved on-site measurement and SVM-based prediction model: A case of commercial buildings in China. Waste Management 2021, 126, 791 -799.

AMA Style

Ruibo Hu, Ke Chen, Weiya Chen, Qiankun Wang, Hanbin Luo. Estimation of construction waste generation based on an improved on-site measurement and SVM-based prediction model: A case of commercial buildings in China. Waste Management. 2021; 126 ():791-799.

Chicago/Turabian Style

Ruibo Hu; Ke Chen; Weiya Chen; Qiankun Wang; Hanbin Luo. 2021. "Estimation of construction waste generation based on an improved on-site measurement and SVM-based prediction model: A case of commercial buildings in China." Waste Management 126, no. : 791-799.

Journal article
Published: 28 January 2021 in Land Use Policy
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The conventional wisdom that compact city fosters quality of place (QoP) has been contested in the literature, leaving the nexus between urban expansion and QoP something of a black-box. This paper investigates the magnitude of additional QoP achievements derived from increasing compactness for 362 Chinese cities. We propose that an expansion consists of a fundamental part (FLE) in consistency with fundamental factors such as demographic, economic and technical changes and a transitory part (TLE) mainly driven by policy shocks, while these two parts would affect QoP heterogeneously. We find that compact FLE has positive effects on QoP, which, however, may be attenuated by TLE. We also discern that positive effects of compactness on QoP are most pronounced in cities located in economically backward areas of the west; and only cities in this region have QoP positively related to compact TLE, indicating that even policy shocks could improve QoP here as long as they are promoting compactness. This research has theoretical contributions and implications for China’s urban polies that a move from sweeping directives on urban expansion to connecting with fundamental changes is more effective in fostering QoP.

ACS Style

Linzi Zheng; Ke Chen; Shukui Tan; Chaohui Yin; Qingsong He; Jiayu Wu. Landscape expansion-place quality nexus revisited: How fundamental and transitory growth impact in China? Land Use Policy 2021, 103, 105294 .

AMA Style

Linzi Zheng, Ke Chen, Shukui Tan, Chaohui Yin, Qingsong He, Jiayu Wu. Landscape expansion-place quality nexus revisited: How fundamental and transitory growth impact in China? Land Use Policy. 2021; 103 ():105294.

Chicago/Turabian Style

Linzi Zheng; Ke Chen; Shukui Tan; Chaohui Yin; Qingsong He; Jiayu Wu. 2021. "Landscape expansion-place quality nexus revisited: How fundamental and transitory growth impact in China?" Land Use Policy 103, no. : 105294.

Journal article
Published: 07 January 2021 in Knowledge-Based Systems
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Risk-based design is an essential strategy for enhancing the safety performance of road infrastructure during its operation stage. However, conventional risk-based design generally considers the risk of a single type of disaster, which is insufficient for assessing the multi-hazard risk of the road infrastructure in an extreme environment. In this study, a synthesis method, the risk-informed knowledge-based analytical method (RKAM) for multi-hazard risk assessment, is proposed for the road infrastructure. The RKAM uses risk mapping techniques and the as low as reasonably practicable (ALARP) principle. Expert knowledge is utilized in order to overcome the scarcity of historical data. The RKAM is applied to the Tuoba–Qamdo Highway project in the Qinghai–Tibet Plateau of China to assess the overall risks of causalities and structural damages caused by traffic accidents, fire accidents, and landslide disasters. The results of this case study show the capabilities of RKAM to generate a synthesis assessment of the expected loss by multi-hazard disasters, which provides valuable information for selecting the most appropriate design of road infrastructure.

ACS Style

Chengqian Li; Lieyun Ding; Qi Fang; Ke Chen; Daniel Castro-Lacouture. Risk-informed knowledge-based design for road infrastructure in an extreme environment. Knowledge-Based Systems 2021, 216, 106741 .

AMA Style

Chengqian Li, Lieyun Ding, Qi Fang, Ke Chen, Daniel Castro-Lacouture. Risk-informed knowledge-based design for road infrastructure in an extreme environment. Knowledge-Based Systems. 2021; 216 ():106741.

Chicago/Turabian Style

Chengqian Li; Lieyun Ding; Qi Fang; Ke Chen; Daniel Castro-Lacouture. 2021. "Risk-informed knowledge-based design for road infrastructure in an extreme environment." Knowledge-Based Systems 216, no. : 106741.

Journal article
Published: 01 August 2020 in Journal of Construction Engineering and Management
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The pursuit of modern product sophistication and production efficiency has bolstered design for manufacture and assembly (DfMA) around the world. Being both a design philosophy and a methodology, DfMA has existed in manufacturing for decades. It is coming into vogue in construction as a potential solution to the industry’s lackluster productivity amid enduring exhortation of cross-sectoral learning. However, many studies of DfMA in construction are still simply following the DfMA guidelines developed from manufacturing without adequately considering important differences between the two sectors of construction and manufacturing. This study aims to develop a series of construction-oriented DfMA guidelines by adopting a mixed-method approach. It critiques existing DfMA guidelines in relation to the characteristics of construction and further argues that construction-oriented DfMA should consider five fundamental aspects: contextual basis, technology rationalization, logistics optimization, component integration, and material-lightening, either individually or collectively. A case study is then conducted to substantiate and verify the feasibility of these guidelines. This research sheds new light on the cross-sectoral learning of DfMA from manufacturing to construction. The guidelines can be used as the benchmark for the evaluation of manufacturability and assemblability in practice. It also opens up a new avenue for further DfMA studies in construction.

ACS Style

Tan Tan; Weisheng Lu; Gangyi Tan; Fan Xue; Ke Chen; Jinying Xu; Jing Wang; Shang Gao. Construction-Oriented Design for Manufacture and Assembly Guidelines. Journal of Construction Engineering and Management 2020, 146, 04020085 .

AMA Style

Tan Tan, Weisheng Lu, Gangyi Tan, Fan Xue, Ke Chen, Jinying Xu, Jing Wang, Shang Gao. Construction-Oriented Design for Manufacture and Assembly Guidelines. Journal of Construction Engineering and Management. 2020; 146 (8):04020085.

Chicago/Turabian Style

Tan Tan; Weisheng Lu; Gangyi Tan; Fan Xue; Ke Chen; Jinying Xu; Jing Wang; Shang Gao. 2020. "Construction-Oriented Design for Manufacture and Assembly Guidelines." Journal of Construction Engineering and Management 146, no. 8: 04020085.

Journal article
Published: 04 July 2020 in Automation in Construction
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With the outbreak of the 2019 novel coronavirus (COVID-19) epidemic in Wuhan, China, in January 2020, the escalating number of confirmed and suspected cases overwhelmed the admission capacity of the designated hospitals. Two specialty field hospitals—Huoshenshan and Leishenshan—were designed, built and commissioned in record time (9–12 days) to address the outbreak. This study documents the design and construction of Leishenshan Hospital. Based on data collected from various sources such as the semi-structured interviews of key stakeholders from Leishenshan Hospital, this study found that adhering to a product, organization, and process (POP) modeling approach combined with building information modeling (BIM) allowed for the ultra-rapid creation, management, and communication of project-related information, resulting in the successful development of this fully functional, state-of-the-art infectious disease specialty hospital. With the unfortunate ongoing international COVID-19 outbreak, many countries and regions face similar hospital capacity problems. It is thus expected that the lessons learned from the design, construction and commissioning of Leishenshan Hospital can provide a valuable reference to the development of specialty field hospitals in other countries and regions.

ACS Style

Hanbin Luo; Jiajing Liu; Chengqian Li; Ke Chen; Ming Zhang. Ultra-rapid delivery of specialty field hospitals to combat COVID-19: Lessons learned from the Leishenshan Hospital project in Wuhan. Automation in Construction 2020, 119, 103345 -103345.

AMA Style

Hanbin Luo, Jiajing Liu, Chengqian Li, Ke Chen, Ming Zhang. Ultra-rapid delivery of specialty field hospitals to combat COVID-19: Lessons learned from the Leishenshan Hospital project in Wuhan. Automation in Construction. 2020; 119 ():103345-103345.

Chicago/Turabian Style

Hanbin Luo; Jiajing Liu; Chengqian Li; Ke Chen; Ming Zhang. 2020. "Ultra-rapid delivery of specialty field hospitals to combat COVID-19: Lessons learned from the Leishenshan Hospital project in Wuhan." Automation in Construction 119, no. : 103345-103345.

Articles
Published: 23 May 2020 in Architectural Engineering and Design Management
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Design for manufacture and assembly (DfMA) has become a buzzword amid the global resurgence of prefabrication and construction industrialization. Some argued that DfMA is hardly new, as there are concepts such as buildability, lean construction, value management, and integrated project delivery in place already. Others believe that DfMA is a new direction to future construction. This paper aims to review the development of DfMA in manufacturing and its status quo in construction, and clarify its similarities and differences to other concepts. A multi-step research method is adopted in this study: First, an analytical framework is generated; Secondly, a literature review is conducted on DfMA in general, and DfMA-like concepts in the AEC industry; The third step is to compare DfMA with related concepts. This study reveals that DfMA as a philosophy is hardly new in construction, and the empirical implementation of many DfMA guidelines has begun in the AEC industry. The findings suggested that DfMA is a new and mixed ‘cocktail’ of opportunities and challenges to improve construction productivity with the advancement of construction materials, production and assembly technologies, and ever-strengthened logistics and supply chain management. This study sheds light on three research directions: DfMA implementation and guidance strategies, DfMA frameworks and blueprints, and applications in cast in-situ or intermediate prefabrication construction. Our research findings provide a synopsis of DfMA research and development in construction. This paper can also serve as a point of departure for future theoretical and empirical explorations.

ACS Style

Weisheng Lu; Tan Tan; Jinying Xu; Jing Wang; Ke Chen; Shang Gao; Fan Xue. Design for manufacture and assembly (DfMA) in construction: the old and the new. Architectural Engineering and Design Management 2020, 17, 77 -91.

AMA Style

Weisheng Lu, Tan Tan, Jinying Xu, Jing Wang, Ke Chen, Shang Gao, Fan Xue. Design for manufacture and assembly (DfMA) in construction: the old and the new. Architectural Engineering and Design Management. 2020; 17 (1-2):77-91.

Chicago/Turabian Style

Weisheng Lu; Tan Tan; Jinying Xu; Jing Wang; Ke Chen; Shang Gao; Fan Xue. 2020. "Design for manufacture and assembly (DfMA) in construction: the old and the new." Architectural Engineering and Design Management 17, no. 1-2: 77-91.

Research article
Published: 09 March 2020 in Industry and Higher Education
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Over the past decade, the global construction industry has shown a clear and urgent need for its professionals to command building information modeling (BIM) knowledge. Many educational institutions have thus incorporated BIM into their construction engineering and management-related programs. However, BIM education faces several challenges, such as the difficulties in transforming existing programs, a lack of instructors with sufficient practical knowledge and misalignment of educational outcomes and industry needs. Many educators thus advocate university–industry collaboration, but this effort is hampered by unanswered questions, including when, what and how both parties can contribute to the collaboration to achieve a win–win situation. This article attempts to answer these key questions in BIM education by relating them to university–industry collaboration in pedagogical design, course delivery and educational outcomes. It does so by conducting a case study whereby the researchers adopted a non-participant observation approach to observe the experience of participants in teaching and learning a BIM course. Feedback from the participants showed that such collaboration could help to narrow the gap between educational outcomes and industry needs. Based on that outcome, another contribution of this research is an analytical framework developed and substantiated to provide a more structured way to guide ‘town and gown’ collaboration for BIM education.

ACS Style

Ke Chen; Weisheng Lu; Jing Wang. University–industry collaboration for BIM education: Lessons learned from a case study. Industry and Higher Education 2020, 34, 401 -409.

AMA Style

Ke Chen, Weisheng Lu, Jing Wang. University–industry collaboration for BIM education: Lessons learned from a case study. Industry and Higher Education. 2020; 34 (6):401-409.

Chicago/Turabian Style

Ke Chen; Weisheng Lu; Jing Wang. 2020. "University–industry collaboration for BIM education: Lessons learned from a case study." Industry and Higher Education 34, no. 6: 401-409.

Journal article
Published: 01 November 2019 in Automation in Construction
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ACS Style

Jinying Xu; Weisheng Lu; Fan Xue; Ke Chen. ‘Cognitive facility management’: Definition, system architecture, and example scenario. Automation in Construction 2019, 107, 1 .

AMA Style

Jinying Xu, Weisheng Lu, Fan Xue, Ke Chen. ‘Cognitive facility management’: Definition, system architecture, and example scenario. Automation in Construction. 2019; 107 ():1.

Chicago/Turabian Style

Jinying Xu; Weisheng Lu; Fan Xue; Ke Chen. 2019. "‘Cognitive facility management’: Definition, system architecture, and example scenario." Automation in Construction 107, no. : 1.

Journal article
Published: 31 October 2019 in Advanced Engineering Informatics
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In recent years, Building Information Modelling (BIM) has been acting an important role in the delivery of Modular Integrated Construction (MiC) project. However, the full potential of BIM to MiC project cannot be realized without accurate information collection, timely information exchange, and automatic decision support throughout the project life cycle. In order to fulfil such requirements, this paper aims to develop an Internet of Things-enabled BIM platform (IBIMP) for the MiC project. A real-life project located in Hong Kong were deeply explored for developing the platform. The IBIMP consists of smart construction objects (SCOs) equipped with smart trinity tag (STT) and GPS sensor, smart gateway system, data source management service, location-based service, rule-based progress control service, as well as decision support services for prefabrication production, transportation, and on-site assembly processes. With the combination of advanced Internet of Things (IoT) technology and BIM technology, the barriers that hamper the possible functions of BIM can be overcame. By using application scenarios of a subsided sale flats MiC project in Hong Kong as examples, this study demonstrates how problems encountered by independent stakeholders such as inconvenient data collection, lack of automatic decision support, and incomplete information can be addressed by the IBIMP.

ACS Style

Yue Zhai; Ke Chen; Jason X. Zhou; Jin Cao; Zhongyuan Lyu; Xin Jin; Geoffrey Q.P. Shen; Weisheng Lu; George Q. Huang. An Internet of Things-enabled BIM platform for modular integrated construction: A case study in Hong Kong. Advanced Engineering Informatics 2019, 42, 100997 .

AMA Style

Yue Zhai, Ke Chen, Jason X. Zhou, Jin Cao, Zhongyuan Lyu, Xin Jin, Geoffrey Q.P. Shen, Weisheng Lu, George Q. Huang. An Internet of Things-enabled BIM platform for modular integrated construction: A case study in Hong Kong. Advanced Engineering Informatics. 2019; 42 ():100997.

Chicago/Turabian Style

Yue Zhai; Ke Chen; Jason X. Zhou; Jin Cao; Zhongyuan Lyu; Xin Jin; Geoffrey Q.P. Shen; Weisheng Lu; George Q. Huang. 2019. "An Internet of Things-enabled BIM platform for modular integrated construction: A case study in Hong Kong." Advanced Engineering Informatics 42, no. : 100997.

Journal article
Published: 01 October 2019 in Advanced Engineering Informatics
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ACS Style

Fan Xue; Weisheng Lu; Ke Chen; Christopher J. Webster. BIM reconstruction from 3D point clouds: A semantic registration approach based on multimodal optimization and architectural design knowledge. Advanced Engineering Informatics 2019, 42, 1 .

AMA Style

Fan Xue, Weisheng Lu, Ke Chen, Christopher J. Webster. BIM reconstruction from 3D point clouds: A semantic registration approach based on multimodal optimization and architectural design knowledge. Advanced Engineering Informatics. 2019; 42 ():1.

Chicago/Turabian Style

Fan Xue; Weisheng Lu; Ke Chen; Christopher J. Webster. 2019. "BIM reconstruction from 3D point clouds: A semantic registration approach based on multimodal optimization and architectural design knowledge." Advanced Engineering Informatics 42, no. : 1.

Conference paper
Published: 01 September 2019 in 2019 IEEE International Conference on Signal Processing, Communications and Computing (ICSPCC)
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As demanded by smart city applications, the recognition and enrichment of urban semantics from unstructured spatial big data became an emerging trend for the development of building information model (BIM) and city information model (CIM). Rooftop constructs the essential part of BIM and CIM and loads various new application practices and scenarios. The recognition and enrichment of rooftop elements represent the trending requirements. This study develops a new approach for semantic enrichment of aerial Light Detection and Ranging (LiDAR) point clouds. In this paper, machine learning models such as decision tree are applied to predict green roof elements based on the geometry and laser reflectance, and was validated in a pilot zone in the main campus of The University of Hong Kong. The recognized rooftop elements could provide a solid foundation for further research, such as rooftop landscape, rooftop energy, rooftop farming.

ACS Style

Tan Tan; Ke Chen; Weisheng Lu; Fan Xue. Semantic Enrichment for Rooftop Modeling using Aerial LiDAR Reflectance. 2019 IEEE International Conference on Signal Processing, Communications and Computing (ICSPCC) 2019, 1 -4.

AMA Style

Tan Tan, Ke Chen, Weisheng Lu, Fan Xue. Semantic Enrichment for Rooftop Modeling using Aerial LiDAR Reflectance. 2019 IEEE International Conference on Signal Processing, Communications and Computing (ICSPCC). 2019; ():1-4.

Chicago/Turabian Style

Tan Tan; Ke Chen; Weisheng Lu; Fan Xue. 2019. "Semantic Enrichment for Rooftop Modeling using Aerial LiDAR Reflectance." 2019 IEEE International Conference on Signal Processing, Communications and Computing (ICSPCC) , no. : 1-4.

Earlycite article
Published: 31 August 2019 in Facilities
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PurposeThe practice of facility management (FM) has been evolving with the rapid development of pervasive sensing technologies (PSTs) such as sensors, automatic identification (auto-ID), laser scanning and photogrammetry. Despite the proliferation of research on the use of PSTs for FM, a comprehensive review of such research is missing from the literature. This study aims to cover the knowledge void by examining the status quo and challenges of the selected PSTs with a focus on FM.Design/methodology/approachThis paper reviewed 204 journal papers recounting cases of using PSTs for FM. The reviewed papers were extracted from Elsevier Scopus database using the advanced search.FindingsFindings of this study revealed that PSTs and FM applications form a many-to-many mapping, i.e. one PST could facilitate many FM applications, and one application can also be supported by various PSTs. It is also found that energy modeling and management is the most referred purpose in FM to adopt PSTs, while space management, albeit important, received the least attention. Five challenges are identified, which include high investment on PSTs, data storage problem, absence of proper data exchange protocols for data interoperability, a lack of mature data processing methods for data utilization and privacy of users.Originality/valueThis paper paints a full picture of PSTs adoption for FM. It pinpoints the promising explorations for tackling the key challenges to future development.

ACS Style

Jinying Xu; Ke Chen; Anna Elizabeth Zetkulic; Fan Xue; Weisheng Lu; Yuhan Niu. Pervasive sensing technologies for facility management: a critical review. Facilities 2019, 38, 161 -180.

AMA Style

Jinying Xu, Ke Chen, Anna Elizabeth Zetkulic, Fan Xue, Weisheng Lu, Yuhan Niu. Pervasive sensing technologies for facility management: a critical review. Facilities. 2019; 38 (1/2):161-180.

Chicago/Turabian Style

Jinying Xu; Ke Chen; Anna Elizabeth Zetkulic; Fan Xue; Weisheng Lu; Yuhan Niu. 2019. "Pervasive sensing technologies for facility management: a critical review." Facilities 38, no. 1/2: 161-180.

Journal article
Published: 01 July 2019 in Journal of Computing in Civil Engineering
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Development of semantically rich as-built building information models (BIMs) presents an ongoing challenge for the global BIM and computing engineering communities. A plethora of approaches have been developed that, however, possess several common weaknesses: (1) heavy reliance on laborious manual or semiautomatic segmentation of raw data [e.g., two-dimensional (2D) images or three-dimensional (3D) point clouds]; (2) unsatisfactory results for complex scenes (e.g., furniture or nonstandard indoor settings); and (3) failure to use existing resources for modeling and semantic enrichment. This paper aims to advance a novel, derivative-free optimization (DFO)–based approach that can automatically generate semantically rich as-built BIMs of complex scenes from 3D point clouds. In layman’s terms, the proposed approach recognizes candidate BIM components from 3D point clouds, reassembles the components into a BIM, and registers them with semantic information from credible sources. The approach was prototyped in Autodesk Revit and tested on a noisy point cloud of office furniture scanned via a Google Tango smartphone. The results revealed that the semantically rich as-built BIM was automatically and correctly generated with a root-mean-square error (RMSE) of 3.87 cm in 6.44 s, which outperformed the well-known iterative closest point (ICP) algorithm. The approach was then scaled up to a large auditorium scene consisting of 293 chairs to generate a satisfactory output BIM with a precision of 81.9% and a recall of 80.5%. The semantic registration approach also proved superior to existing segmentation approaches in that it is segmentation-free and capable of processing complex scenes and reusing known information. In addition to these methodological contributions, this approach, properly scaled up, will open new avenues for creation of building/city information models from inexpensive data sources and support profound value-added applications such as smart building or smart city developments.

ACS Style

Fan Xue; Weisheng Lu; Ke Chen; Anna Zetkulic. From Semantic Segmentation to Semantic Registration: Derivative-Free Optimization–Based Approach for Automatic Generation of Semantically Rich As-Built Building Information Models from 3D Point Clouds. Journal of Computing in Civil Engineering 2019, 33, 04019024 .

AMA Style

Fan Xue, Weisheng Lu, Ke Chen, Anna Zetkulic. From Semantic Segmentation to Semantic Registration: Derivative-Free Optimization–Based Approach for Automatic Generation of Semantically Rich As-Built Building Information Models from 3D Point Clouds. Journal of Computing in Civil Engineering. 2019; 33 (4):04019024.

Chicago/Turabian Style

Fan Xue; Weisheng Lu; Ke Chen; Anna Zetkulic. 2019. "From Semantic Segmentation to Semantic Registration: Derivative-Free Optimization–Based Approach for Automatic Generation of Semantically Rich As-Built Building Information Models from 3D Point Clouds." Journal of Computing in Civil Engineering 33, no. 4: 04019024.

Journal article
Published: 01 July 2019 in Journal of Professional Issues in Engineering Education and Practice
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Research into construction education (CE) has garnered increasing attention over the last few decades and a great number of CE studies have been published. However, few studies have mapped the global geography and perspective of that research. This paper presents the first bibliometric analysis of CE studies published between 1982 and 2017 in order to chart the academic development and identify of various research directions within the field. Focusing on development trends, knowledge body structure, major journals, and collaboration networks and applying quantitative evaluation results allowed instructive findings and implications concerning the possible deficiencies in CE research to be derived. The analysis of keyword trends indicates that new concepts like building information modeling and sustainability have recently become hot topics in CE research. The most influential articles, journals, authors, and countries/regions were also identified. The findings also imply that current CE research shows a bias toward technology utilization in education and the existence of considerable isolation between formed groups, such as collaboration networks. This study contributes to CE literature by providing useful information of its status quo and suggesting potential directions for future CE research.

ACS Style

Linzi Zheng; Ke Chen; Weisheng Lu. Bibliometric Analysis of Construction Education Research from 1982 to 2017. Journal of Professional Issues in Engineering Education and Practice 2019, 145, 04019005 .

AMA Style

Linzi Zheng, Ke Chen, Weisheng Lu. Bibliometric Analysis of Construction Education Research from 1982 to 2017. Journal of Professional Issues in Engineering Education and Practice. 2019; 145 (3):04019005.

Chicago/Turabian Style

Linzi Zheng; Ke Chen; Weisheng Lu. 2019. "Bibliometric Analysis of Construction Education Research from 1982 to 2017." Journal of Professional Issues in Engineering Education and Practice 145, no. 3: 04019005.

Journal article
Published: 16 May 2019 in Engineering, Construction and Architectural Management
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Purpose How to make an effective use of building information modeling (BIM) for information management (IM) is a challenging question in the field of construction project and asset management. Chen et al. (2015) answered this question by developing a conceptual framework of “bridging BIM and building (BBB).” However, the underlying mechanism through which BBB can truly impact IM remains unclear. The purpose of this paper is thus to demystify the mechanism linking BBB and IM. Design/methodology/approach Drawing upon the IM literature, this paper proposes three IM requirements, namely, requirements on information quantity, quality and accessibility, as the significant mediators between BBB and IM. To verify this proposition, a two-year, participatory case study was conducted based on a real-life construction project in which a BBB system was implemented. Findings The results of the case study supported the proposition that by enhancing the information quantity, quality and accessibility BBB could favorably contribute to IM in construction. Practical implications This paper provides knowledge about system architecture, components and their linkage in an operable BBB system. It also provides empirical experience about BBB implementation. Originality/value This study is among the first attempts to streamline the theoretical discourses relating to BBB for IM in a construction context. It contributes to the construction IM by directing attention to key IM requirements and processes rooted in the IM literature.

ACS Style

Ke Chen; Weisheng Lu. Bridging BIM and building (BBB) for information management in construction. Engineering, Construction and Architectural Management 2019, 26, 1518 -1532.

AMA Style

Ke Chen, Weisheng Lu. Bridging BIM and building (BBB) for information management in construction. Engineering, Construction and Architectural Management. 2019; 26 (7):1518-1532.

Chicago/Turabian Style

Ke Chen; Weisheng Lu. 2019. "Bridging BIM and building (BBB) for information management in construction." Engineering, Construction and Architectural Management 26, no. 7: 1518-1532.

Journal article
Published: 15 February 2019 in Journal of Cleaner Production
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It is widely recognized that Building Information Modeling (BIM) can facilitate the delivery of prefabricated construction. Nevertheless, the actual practice of BIM faces several barriers. A range of existing studies and literature have discussed these barriers extensively, but two research questions remain unanswered. First, what are the unique barriers facing the use of BIM in China’s prefabricated construction? Second, how do these barriers interrelate with one another? This research aims to address these two questions. Conducting a two-round literature review and a questionnaire survey ascertained twelve barriers acutely affecting the Chinese experience of applying BIM to prefabricated construction. In addition, Interpretive Structural Modeling (ISM) was used to identify interrelationships among these barriers. The exercise found that, compared with the cost-related issues suggested by previous studies that focused on general BIM implementation barriers, the lack of research about BIM in China and the absence of standards and domestic-oriented tools are likely the biggest hindrances to the practical application of BIM in China’s prefabricated construction. This study contributes to the knowledge body by revealing major barriers to BIM implementation in China’s prefabricated construction and crafting a corresponding three-level strategy to facilitate the possible implementation. The findings of this study can thus act as a practical reference for future research attempting to provide technological and managerial solutions to improve BIM implementation in China’s prefabricated construction.

ACS Style

Tan Tan; Ke Chen; Fan Xue; Weisheng Lu. Barriers to Building Information Modeling (BIM) implementation in China's prefabricated construction: An interpretive structural modeling (ISM) approach. Journal of Cleaner Production 2019, 219, 949 -959.

AMA Style

Tan Tan, Ke Chen, Fan Xue, Weisheng Lu. Barriers to Building Information Modeling (BIM) implementation in China's prefabricated construction: An interpretive structural modeling (ISM) approach. Journal of Cleaner Production. 2019; 219 ():949-959.

Chicago/Turabian Style

Tan Tan; Ke Chen; Fan Xue; Weisheng Lu. 2019. "Barriers to Building Information Modeling (BIM) implementation in China's prefabricated construction: An interpretive structural modeling (ISM) approach." Journal of Cleaner Production 219, no. : 949-959.

Journal article
Published: 18 December 2018 in ISPRS Journal of Photogrammetry and Remote Sensing
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Symmetry is ubiquitous in architecture, across both time and place. Automated architectural symmetry detection (ASD) from a data source is not only an intriguing inquiry in its own right, but also a step towards creation of semantically rich building and city information models with applications in architectural design, construction management, heritage conservation, and smart city development. While recent advances in sensing technologies provide inexpensive yet high-quality architectural 3D point clouds, existing methods of ASD from these data sources suffer several weaknesses including noise sensitivity, inaccuracy, and high computational loads. This paper aims to develop a novel derivative-free optimization (DFO)-based approach for effective ASD. It does so by firstly transforming ASD into a nonlinear optimization problem involving architectural regularity and topology. An in-house ODAS (Optimization-based Detection of Architectural Symmetries) approach is then developed to solve the formulated problem using a set of state-of-the-art DFO algorithms. Efficiency, accuracy, and robustness of ODAS are gauged from the experimental results on nine sets of real-life architectural 3D point clouds, with the computational time for ASD from 1.4 million points only 3.7 s and increasing in a sheer logarithmic order against the number of points. The contributions of this paper are threefold. Firstly, formulating ASD as a nonlinear optimization problem constitutes a methodological innovation. Secondly, the provision of up-to-date, open source DFO algorithms allows benchmarking in the future development of free, fast, accurate, and robust approaches for ASD. Thirdly, the ODAS approach can be directly used to develop building and city information models for various value-added applications.

ACS Style

Fan Xue; Weisheng Lu; Chris Webster; Ke Chen. A derivative-free optimization-based approach for detecting architectural symmetries from 3D point clouds. ISPRS Journal of Photogrammetry and Remote Sensing 2018, 148, 32 -40.

AMA Style

Fan Xue, Weisheng Lu, Chris Webster, Ke Chen. A derivative-free optimization-based approach for detecting architectural symmetries from 3D point clouds. ISPRS Journal of Photogrammetry and Remote Sensing. 2018; 148 ():32-40.

Chicago/Turabian Style

Fan Xue; Weisheng Lu; Chris Webster; Ke Chen. 2018. "A derivative-free optimization-based approach for detecting architectural symmetries from 3D point clouds." ISPRS Journal of Photogrammetry and Remote Sensing 148, no. : 32-40.

Articles
Published: 16 November 2018 in International Journal of Construction Management
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Building information modelling (BIM) has been lauded as a ‘game changer’ for the construction industry. Growing studies show a strong interest among researchers and practitioners to assess the maturity of BIM implementation, which helps understand its quality and degrees of excellence. However, no single study to date has comprehensively measured BIM maturity at the project, organization, and industry levels and thus achieved a holistic view of BIM implementation. Therefore, this study aims to measure BIM maturity at these three scales using Hong Kong’s construction context as a specific case. To this end, this study collected publicly available information of BIM implementation projects and adapted the multifunctional BIM maturity model as the measurement tool. The results found that construction projects in Hong Kong vary in terms of BIM maturity, with more than half ranging from Stage 0 to 1. The study also discovered that the BIM maturities of construction-related organizations in Hong Kong differ from each other, primarily owing to the different developments of their BIM processes and protocols. The industry-level assessment indicated unbalanced development in BIM technologies, processes, and protocols. The value of this study is threefold. Firstly, it provides an in-depth understanding of BIM maturity in Hong Kong. Secondly, it contributes to BIM maturity measurement by highlighting the dynamics of BIM technologies, processes, and protocols at the project, organization, and industry levels. Thirdly, it offers operational procedures for BIM maturity measurement.

ACS Style

Weisheng Lu; Ke Chen; Anna Zetkulic; Cong Liang. Measuring building information modeling maturity: a Hong Kong case study. International Journal of Construction Management 2018, 21, 299 -311.

AMA Style

Weisheng Lu, Ke Chen, Anna Zetkulic, Cong Liang. Measuring building information modeling maturity: a Hong Kong case study. International Journal of Construction Management. 2018; 21 (3):299-311.

Chicago/Turabian Style

Weisheng Lu; Ke Chen; Anna Zetkulic; Cong Liang. 2018. "Measuring building information modeling maturity: a Hong Kong case study." International Journal of Construction Management 21, no. 3: 299-311.

Journal article
Published: 01 September 2018 in Automation in Construction
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Many studies have been conducted to create building information models (BIMs) or city information models (CIMs) as the digital infrastructure to support various smart city programs. However, automatic generation of such models for high-density (HD) urban areas remains a challenge owing to (a) complex topographic conditions and noisy data irrelevant to the buildings, and (b) exponentially growing computational complexity when the task is reconstructing hundreds of buildings at an urban scale. This paper develops a method - multi-Source recTification of gEometric Primitives (mSTEP) - for automatic reconstruction of BIMs in HD urban areas. By retrieving building base, height, and footprint geodata from topographic maps, level of detail 1 (LoD1) BIMs representing buildings with flat roof configuration were first constructed. Geometric primitives were then detected from LiDAR point clouds and rectified using architectural knowledge about building geometries (e.g. a rooftop object would normally be in parallel with the outer edge of the roof). Finally, the rectified primitives were used to refine the LoD1 BIMs to LoD2, which show detailed geometric features of roofs and rooftop objects. A total of 1361 buildings located in a four square kilometer area of Hong Kong Island were selected as the subjects for this study. The evaluation results show that mSTEP is an efficient BIM reconstruction method that can significantly improve the level of automation and decrease the computation time. mSTEP is also well applicable to point clouds of various densities. The research is thus of profound significance; other cities and districts around the world can easily adopt mSTEP to reconstruct their own BIMs/CIMs to support their smart city programs.

ACS Style

Ke Chen; Weisheng Lu; Fan Xue; Pingbo Tang; Ling Hin Li. Automatic building information model reconstruction in high-density urban areas: Augmenting multi-source data with architectural knowledge. Automation in Construction 2018, 93, 22 -34.

AMA Style

Ke Chen, Weisheng Lu, Fan Xue, Pingbo Tang, Ling Hin Li. Automatic building information model reconstruction in high-density urban areas: Augmenting multi-source data with architectural knowledge. Automation in Construction. 2018; 93 ():22-34.

Chicago/Turabian Style

Ke Chen; Weisheng Lu; Fan Xue; Pingbo Tang; Ling Hin Li. 2018. "Automatic building information model reconstruction in high-density urban areas: Augmenting multi-source data with architectural knowledge." Automation in Construction 93, no. : 22-34.