From BIM to extended reality in AEC industry Alizadehsalehi, Sepehr; Hadavi, Ahmad; Huang, Joseph Chuenhuei
Automation in construction,
August 2020, 2020-08-00, 20200801, Letnik:
116
Journal Article
Recenzirano
In the Architecture, Engineering, and Construction (AEC) industry, Extended Reality (XR) technologies that simulate a construction project in a multidimensional digital model and present multiple ...aspects of a project can be a tremendous help in all stages of a project. This study aims to identify the outsourcing patterns for such technologies among construction project stakeholders. Currently, there is limited literature about XR technologies, and because of it, the sections containing the results of this study are as follows: (1) a concise review of the most recent VR, AR, and MR technologies in the design and construction industry; (2) an introduction to the most commonly used wearable XRs on the market in terms of features, ease of use, and their specifications; (3) a summary of the different methods and software used for converting the BIM model to VR, AR, and MR; and (4) finally, a case study included the integrated definition function (IDEF0) model that details how to convert the BIM model of the NASA-Mars habitat project to a VR and MR model that uses Oculus Rift, HTC Vive, Samsung HMD, and Microsoft HoloLens headsets. Overall, this study provides a comprehensive review regarding using XR to solve a variety of construction project management issues effectively and efficiently. More importantly, this study provides a roadmap for future efforts involving the implementation of XR technologies in the AEC industry.
•This study reviewed the most relevant articles regarding BIM and XR (VR, AR, and MR) in the AEC industry.•This study proposed a BIM-based XR process/workflow to support construction projects.•This study evaluated the BIM-to-VR and BIM-to-MR process used by NASA-Mars habitat project case study.•This study identified the strengths and weaknesses of BIM-to-XR.•This study proposes processes which solve construction project management issues effectively and efficiently.
Professional development of the BIM actor role Bosch-Sijtsema, Petra M.; Gluch, Pernilla; Sezer, Ahmet Anil
Automation in construction,
January 2019, 2019-01-00, 20190101, 2019, Letnik:
97
Journal Article
Recenzirano
Odprti dostop
The implementation of building information modeling (BIM) has resulted in the development of new roles for BIM actors, but few empirical studies have been conducted on how these roles develop ...professionally. The present study investigates the professional development of the BIM actor and how this role is perceived by BIM actors and non-BIM actors in Sweden. The study uses a questionnaire (N = 342) in eight companies, comprised of contractors, architects, and clients. The BIM and non-BIM actors were compared on similarities and significant differences in their characteristics, tasks, experience, education, and barriers to the role's development. We found that BIM actors perceive their role, characteristics, tasks and education as coordinating and driving change. However, non-BIM actors perceive the BIM actor role as focusing more on technical skills than on softer skills. The perceptions of the two groups indicate possible tensions toward the future professional development of the BIM actor role.
•Few empirical studies on BIM actor's role and professionalization development•BIM actors perceive their role as coordinating and driving change.•Non-BIM actors perceive the BIM actor role as a technical role.•Tensions between BIM and non-BIM actors influence future role development.
Technologically advanced countries are accruing benefits from the adoption of Building Information Modelling (BIM) in the Architecture, Engineering, and Construction (AEC) industry after decades of ...struggling for productivity enhancement using innovation and automation. Most of the developing countries have not been able to embrace technology in the AEC Sector and, consequently, are unable to ameliorate prevalent performance-related issues in construction projects. This review article identifies hurdles to BIM implementation in selected developing countries via an examination of the latest studies. The most significant challenges observed in this study are Lack of Training for Professionals, Lack of Awareness, Huge Capital Cost, Resistance to Change, and Complexity of BIM Software. This study is an update on previous studies conducted with the aim of assisting the implementation of BIM in developing countries.
The architectural, engineering and construction (AEC) industry is plagued with complex and difficult problems such as late payments, inadequate information sharing and supply chain issues. Thus, ...advances in blockchain technology are increasingly investigated as a viable digital technology to address such problems. This advantage has led to blockchain gaining significant traction within the AEC industry thus piquing the interests of researchers. Although prior reviews on blockchain have been well appreciated, those studies do not give a complete picture of blockhain in the AEC industry as a whole. For example, whereas some researchers focused their studies on the construction industry, others did so across multiple domains. And researchers who attempted to review blockchain in the AEC industry employed a qualitative methodology which have been criticized for its lack of reproducibility and susceptibility to subjective biases. Moreover, those studies which utilized a quantitative approach employed a single science mapping tool for its analysis, which did not meet the criteria for a robust science mapping research. Therefore, there is the need for further review research efforts to supplement the limitations of the previous works. Thus, this study presents a robust science-mapping based analysis of the state-of-the art research on blockchain technology in the AEC industry, by combining three scientometric tools to analyze quantitatively, 12,549 relevant bibliographic data retrieved from the Web of Science (WoS) database. The results revealed that blockchain can be used as an optimization technology to optimize processes, systems, activities, and decision-making in the AEC industry. The findings confirmed that blockchain is being utilized to resolve AEC management problems in supply chain, projects, risk, cost, privacy, and security. The study further disclosed Industry 4.0 technologies that have presently been integrated with blockchain to improve its practicability in the AEC industry, as well as the understudied research areas. Within the existing corpus of literature on blockchain, the research findings are informative in identifying and comprehending trends and patterns, including core research topics, countries, and institutions and their interconnection. This study contributes to the global body of knowledge in blockchain by providing a holistic view of the state-of-the-art development of blockchain and proposes the directions of future research efforts, while promoting the consciousness of blockchain in the AEC industry.
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•Science mapping: to analyze methodically and quantitatively 12,549 bibliographic data retrieved from the WOS database.•VOSviewer, CiteSpace, Gephi: Performed robust scientometric analysis of blockchain technology in the AEC industry.•Keyword co-occurrence analysis, Citation burst analysis, Document co-citation analysis, and Co-authorship analysis.•The study revealed the following.oCritical AEC activities that can be optimized with blockchain technology eg, decision making, life-cycle assessment.oIndustry 4.0 technologies and blockchain integration: machine learning, IoT, and AI, UGV, UAV, BIM, digital twin.oAEC compatible blockchain platforms eg, Hyperledger Fabric, Corda, and Ethereum.oApplicable AEC fields for blockchain eg, Smart cities, bridgesoUnderstudied research areas of blockchain in the AEC industry eg, productivity, damage assessment.
Human-technology interaction is concerned with trust as an inevitable user acceptance requirement. As the applications of artificial intelligence (AI) and robotics emerge in the architecture, ...engineering, and construction (AEC) industry, there is an immediate need to study trust in such systems. This paper presents the results of a systematic review of the literature published in the last two decades on (1) trust in AI and AI-powered robotics and (2) AI and robotics applications in the AEC industry. Through a thorough analysis, common trust dimensions are identified and the connections to the existing AEC applications are determined and discussed. Furthermore, major future directions on trustworthy AI and robotics in AEC research and practice are outlined. Findings indicate that although AEC researchers and industry professionals increasingly study and deploy AI and robotics, there is a lack of systematic research that studies key trust dimensions such as explainability, reliability, robustness, performance, and safety in the AEC context
•A systematic literature review on (1) trust in AI and AI-powered robotics, and (2) AI and AI-powered robotics applications in the AEC industry is conducted.•A total of 584 peer-reviewed publications are analyzed.•Common trust dimensions in the literature are identified and used to organize the paper.•Connections of the identified dimensions to existing and potential AEC applications are determined and discussed.•Future directions for research and practice in the AEC industry are proposed.
PurposeIn the era of digitalisation, blockchain has the potential to fundamentally change the architecture, engineering and construction (AEC) industry's workflow, trust and procurement environments. ...However, few studies have investigated blockchain adoption barriers in the AEC industry in detail. Therefore, the study aims to provide a comprehensive understanding of these barriers and their interdependent relationships in the context of the AEC industry.Design/methodology/approachBased on a review of the literature, industry reports and expert feedback, 11 barriers towards adopting the blockchain were identified. Then, the authors investigated the interdependencies amongst the factors by adopting a two-stage integrated interpretive structural modelling (ISM) and decision-making trial and evaluation laboratory (DEMATEL) method.FindingsThe findings show that the lack of information technology infrastructure (BC4) and legal and regulatory uncertainty (BC11) are the most prominent barriers towards blockchain adoption in the AEC industry.Practical implicationsThe research contributes in providing a clearer understanding of related barriers and potential solutions for practitioners in this area. Subsequently, the identification of adoption barriers can enable an important knowledge foundation and suggest possible solutions for adopting blockchain techniques successfully and effectively in the AEC industry.Originality/valueThe study lays an essential research foundation for the effective adoption and use of blockchain in the AEC industry.
Building Information Modelling (BIM) is a revolutionary invention within the construction industry that essentially aids the design, construction and management of construction projects throughout ...their lifespan. Globally, the Architecture, Engineering, and Construction (AEC) industry has for decades progressively adopted and implemented BIM. While there are several papers in this context, none have tried to extensively document BIM’s comprehensive contributions and uses in the construction phase. Therefore, this paper aims to identify BIM’s various contributions and uses in the construction phase and analyze publication trends, co-occurring keywords, contributing authors and countries. A systematic overview approach was used to review published articles on state-of-the-art of BIM in construction, supported by bibliometric network mapping analysis. A total of 409 documents were extracted and analyzed. The study’s findings document BIM’s various uses and contributions to the AEC industry, such as simulation of each stage of the construction process, virtual presentation of the building and site, visualization of progress, management of construction work, enhancement of safety, communication and collaboration, quick generation of reliable and accurate cost estimates, assistance in the fast realization of return on investment (ROI), and serving as a platform that hosts and documents various technological tools used during the construction phase. The bibliometric analysis reveals the most contributing scholars, countries, document sources, trend network mapping of co-occurring keywords, and publication trends. The primary practical implications of this study’s discoveries can be exploited as a basis for further research and to influence the future direction of BIM in the AEC industry. The findings will enhance the wider spread, application and understanding of BIM in the AEC industry, thereby increasing BIM awareness and knowledge globally.
This article explores the possible ramifications of incorporating ideas from AEC Industry 6.0 into the design and construction of intelligent, environmentally friendly, and long-lasting structures. ...This statement highlights the need to shift away from the current methods seen in the AEC Industry 5.0 to effectively respond to the increasing requirement for creative and environmentally sustainable infrastructures. Modern building techniques have been made more efficient and long-lasting because of AEC Industry 6.0’s cutting-edge equipment, cutting-edge digitalization, and ecologically concerned methods. The academic community has thoroughly dissected the many benefits of AEC Industry 5.0. Examples are increased stakeholder involvement, automation, robotics for optimization, decision structures based on data, and careful resource management. However, the difficulties of implementing AEC Industry 6.0 principles are laid bare in this research. It calls for skilled experts who are current on the latest technologies, coordinate the technical expertise of many stakeholders, orchestrate interoperable standards, and strengthen cybersecurity procedures. This study evaluates how well the principles of Industry 6.0 can create smart, long-lasting, and ecologically sound structures. The goal is to specify how these ideas may revolutionize the building industry. In addition, this research provides an in-depth analysis of how the AEC industry might best adopt AEC Industry 6.0, underscoring the sector-wide significance of this paradigm change. This study thoroughly analyzes AEC Industry 6.0 about big data analytics, the IoT, and collaborative robotics. To better understand the potential and potential pitfalls of incorporating AEC Industry 6.0 principles into the construction of buildings, this study examines the interaction between organizational dynamics, human actors, and robotic systems.
The importance of knowledge management (KM) in the Architecture, Engineering, and Construction (AEC) industry has risen with the improvement of information and communication technologies. However, ...the construction industry still struggles to capture and disseminate lessons learned. The present research explores this issue by using interviews and an online questionnaire to provide updated information on lessons learned procedures and their challenges in United States (US) construction companies. To do this, the authors have gathered industry professionals' perceptions about lessons learned and methods used in their companies for harnessing and disseminating the knowledge generated by them. Our findings indicate that post-project evaluations are frequently conducted, utilize a two-step approach (review of materials followed by meetings), and are mainly organized by project managers. Most often, only key project team members are present in meetings to create a safe environment for discussion. Moreover, our findings echo previous research on the dissemination and reuse of lessons learned, indicating that these procedures are scattered and, most of the time, the information is not effectively reutilized. This suggests that US construction companies still need to revisit how information from lessons learned is currently being harnessed, stored, and especially shared (within and between companies) so that information can be effectively transformed into knowledge that can advance the AEC industry's productivity.
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