A systematic review of the BIM in construction: from smart building management to interoperability of BIM & AI

References

• Abioye Sofiat, O., Lukumon O. Oyedele, Lukman Akanbi, Anuoluwapo Ajayi, Juan Manuel Davila Delgado, Muhammad Bilal, Olugbenga O. Akinade, and Ashraf Ahmed. 2021. “Artificial Intelligence in the Construction Industry: A Review of Present Status, Opportunities and Future Challenges.” Journal of Building Engineering 44: 103299. https://doi.org/10.1016/j.jobe.2021.103299.
   Web of Science ®Google Scholar
• Abuimara, Tareq, Brodie W. Hobson, Burak Gunay, William O’Brien, and Michael Kane. 2021. “Current State and Future Challenges in Building Management: Practitioner Interviews and a Literature Review.” Journal of Building Engineering 41: 102803. https://doi.org/10.1016/j.jobe.2021.102803.
   Web of Science ®Google Scholar
• Ahn, Joseph, Sae-Hyun Ji, Sung Jin Ahn, Moonseo Park, Hyun-Soo Lee, Nahyun Kwon, Eul-Bum Lee, and Yonggu Kim. 2020. “Performance Evaluation of Normalization-Based CBR Models for Improving Construction Cost Estimation.” Automation in Construction 119: 103329. https://doi.org/10.1016/j.autcon.2020.103329.
   Web of Science ®Google Scholar
• Al-Ashmori, Yasser Yahya, Idris Othman, Yani Rahmawati, Y.H. Mugahed Amran, S.H. Abo Sabah, Aminu Darda’u Rafindadi, and Miljan Mikic. 2020. “BIM Benefits and its Influence on the BIM Implementation in Malaysia.” Ain Shams Engineering Journal 11 (4): 1013–1019. https://doi.org/10.1016/j.asej.2020.02.002.
   Web of Science ®Google Scholar
• Alaka, Hafiz A., Lukumon O. Oyedele, Hakeem A. Owolabi, Azeez A. Oyedele, Olúgbénga O. Akinadé, Muhammad Bilal, and Saheed O. Ajayi. 2017. “Critical Factors for Insolvency Prediction: Towards a Theoretical Model for the Construction Industry.” Journal of Construction Management 17 (1): 1–25. https://doi.org/10.1080/15623599.2016.1166546.
   Google Scholar
• Altohami, Abubaker Basheer Abdalwhab, Nuzul Azam Haron, Aidi Hizami Ales@Alias, and Teik Hua Law. 2021. “Investigating Approaches of Integrating BIM, IoT, and Facility Management for Renovating Existing Buildings: A Review.” Sustainability 13 (7): 3930. https://doi.org/10.3390/su13073930.
   Web of Science ®Google Scholar
• Ansah, Mark Kyeredey, Xi Chen, Hongxing Yang, Lin Lu, and Patrick T.I. Lam. 2019. “A Review and Outlook for Integrated BIM Application in Green Building Assessment.” Sustainable Cities and Society 48), https://doi.org/10.1016/j.scs.2019.101576.
   Web of Science ®Google Scholar
• Anumba, Chinemelu J., Abiola Akanmu, Xiao Yuan, and Congwen Kan. 2021. “Cyber—Physical Systems Development for Construction Applications.” Frontiers of Engineering Management 8: 72–87. https://doi.org/10.1007/s42524-020-0130-4.
   Web of Science ®Google Scholar
• Arayici, Y., P. Coates, L. Koskela, M. Kagioglou, C. Usher, and K. O'Reilly. 2011. “Technology Adoption in the BIM Implementation for Lean Architectural Practice.” Automation in Construction 20 (2): 189–195. https://doi.org/10.1016/j.autcon.2010.09.016.
   Web of Science ®Google Scholar
• Azhar, Salman. 2011. “Building Information Modeling (BIM): Trends, Benefits, Risks, and Challenges for the AEC Industry.” Leadership and Management in Engineering 11 (3): 241–252. https://doi.org/10.1061/(ASCE)LM.1943-5630.0000127.
   Google Scholar
• Azhar, Salman, Malik Khalfan, and Tayyab Maqsood. 2012. “Building Information Modelling (BIM): Now and Beyond.” Australasian Journal of Construction Economics and Building 12 (4): 15. https://doi.org/10.5130/AJCEB.v12i4.3032.
   Google Scholar
• Azhar, S., M. Khalfan, T. Maqsood, and N. El-Gohary. 2012. “Building information modeling (BIM): A new paradigm for visual interactive modeling and simulation for construction projects.” In Proceedings of the 2012 Construction Research Congress, 950–959. https://doi.org/10.1061/9780784412329.096.
   Google Scholar
• Begić, Hana, and Mario Galić. 2021. “A Systematic Review of Construction 4.0 in the Context of the BIM 4.0 Premise.” Buildings 11 (8): 337. https://doi.org/10.3390/buildings11080337.
   Web of Science ®Google Scholar
• Bloch, Tanya, and Rafael Sacks. 2018. “Comparing Machine Learning and Rule-Based Inferencing for Semantic Enrichment of BIM Models.” Automation in Construction. https://doi.org/10.1016/J.AUTCON.2018.03.018.
   Web of Science ®Google Scholar
• Bloch, Tanya, Rafael Sacks, and Oded Rabinovitch. 2016. “Interior Models of Earthquake Damaged Buildings for Search and Rescue.” Advanced Engineering Informatics 30 (1): 65–76. https://doi.org/10.1016/j.aei.2015.12.001.
   Web of Science ®Google Scholar
• Bui, Nam, Christoph Merschbrock, and Bjørn Erik Munkvold. 2016. “A Review of Building Information Modelling for Construction in Developing Countries.” Procedia Engineering 164 (1877): 487–494. https://doi.org/10.1016/j.proeng.2016.11.649.
   Google Scholar
• Chen, Ke, Weisheng Lu, Yi Peng, Steve Rowlinson, and George Q. Huang. 2015. “Bridging BIM and Building: From a Literature Review to an Integrated Conceptual Framework.” International Journal of Project Management 33 (6): 1405–1416. https://doi.org/10.1016/j.ijproman.2015.03.006.
   Web of Science ®Google Scholar
• Chong, Heap-Yih, Cen-Ying Lee, and Xiangyu Wang. 2017. “A Mixed Review of the Adoption of Building Information Modelling (BIM) for Sustainability.” Journal of Cleaner Production 142: 4114–4126. https://doi.org/10.1016/j.jclepro.2016.09.222.
   Web of Science ®Google Scholar
• Dave, B., and H. Dave. 2020. “Integration of building information modeling and artificial intelligence in construction industry.” IOP Conference Series: Materials Science and Engineering 722 (1): 0012010. https://doi.org/10.1088/1757-899X/722/1/012010.
   Google Scholar
• Durdyev, Serdar, Mojtaba Ashour, Scott Connelly, and Amir Mahdiyar. 2022. “Barriers to the Implementation of Building Information Modelling (BIM) for Facility Management.” Journal of Building Engineering 46 (1): 103736. https://doi.org/10.1016/j.jobe.2021.103736.
   Web of Science ®Google Scholar
• Eastman, C., C.M. Eastman, Y.S. Jeong, and J.Y. Lee. 2009. “Automatic Rule-Based Checking of Building Designs.” Automation in Construction 18 (8): 1011–1033. https://doi.org/10.1016/j.autcon.2009.07.002.
   Web of Science ®Google Scholar
• Eastman, Chuck, Paul Teicholz, Rafael Sacks, and Kathleen Liston. 2021. BIM Handbook: A Guide to Building Information Modeling for Owners, Managers, Designers, Engineers and Contractors, 2nd ed. New Jersey: John Wiley & Sons.
   Google Scholar
• El-Sayegh, S.M. 2008. “Strategic integration of intelligent building systems in the UAE.” Building and Environment 43 (11): 1858–1869. https://doi.org/10.1016/j.buildenv.2007.12.006.
   Web of Science ®Google Scholar
• Erharter, Georg H., and Thomas Marcher. 2021. “On the Pointlessness of Machine Learning Based Time Delayed Prediction of TBM Operational Data.” Automation in Construction 121: 103443. https://doi.org/10.1016/j.autcon.2020.103443.
   Web of Science ®Google Scholar
• Farzaneh, Hooman, Ladan Malehmirchegini, Adrian Bejan, Taofeek Afolabi, Alphonce Mulumba, and Precious P. Daka. 2021. “Artificial Intelligence Evolution in Smart Buildings for Energy Efficiency.” Applied Sciences 11 (2): 763–726. https://doi.org/10.3390/app11020763.
   Google Scholar
• Farzaneh, Aida, Danielle Monfet, and Daniel Forgues. 2019. “Review of Using Building Information Modeling for Building Energy Modeling During the Design Process.” Journal of Building Engineering 23: 127–135. https://doi.org/10.1016/j.jobe.2019.01.029.
   Web of Science ®Google Scholar
• Ferrando, Martina, Francesco Causone, Tianzhen Hong, and Yixing Chen. 2020. “Urban Building Energy Modeling (UBEM) Tools: A State-of-the-Art Review of Bottom-up Physics-Based Approaches.” Sustainable Cities and Society 62), https://doi.org/10.1016/j.scs.2020.102408.
   Web of Science ®Google Scholar
• Gao, Xinghua, and Pardis Pishdad-Bozorgi. 2019. “BIM-enabled Facilities Operation and Maintenance: A Review.” Advanced Engineering Informatics 39 (c): 227–247. https://doi.org/10.1016/j.aei.2019.01.005.
   Web of Science ®Google Scholar
• Garwood, Tom Lloyd, Ben Richard Hughes, Michael R. Oates, Dominic O'Connor, and Ruby Hughes. 2018. “A Review of Energy Simulation Tools for the Manufacturing Sector.” Renewable and Sustainable Energy Reviews 81 (1): 895–911. https://doi.org/10.1016/j.rser.2017.08.063.
   Web of Science ®Google Scholar
• Grilo, António, and Ricardo Jardim-Goncalves. 2010. “Value Proposition on Interoperability of BIM and Collaborative Working Environments.” Automation in Construction 19 (5): 522–530. https://doi.org/10.1016/j.autcon.2009.11.003.
   Web of Science ®Google Scholar
• Gu, N., and K. London. 2010. “Understanding and Facilitating BIM Adoption in the AEC Industry.” Automation in Construction 19 (8): 988–999. https://doi.org/10.1016/j.autcon.2010.09.002.
   Web of Science ®Google Scholar
• Huang, M.Q., Jelena NiniÄ, and QianBing Zhang. 2021. “BIM, Machine Learning and Computer Vision Techniques in Underground Construction: Current Status and Future Perspectives.” Tunnelling and Underground Space Technology 108: 103677. https://doi.org/10.1016/j.tust.2020.103677.
   Web of Science ®Google Scholar
• Jackson, Richard H.G., and Anthony Wood. 2013. “The Performance of Insolvency Prediction and Credit Risk Models in the UK: A Comparative Study”. The British Accounting Review 45(3): 183–202. https://doi.org/10.1016/j.bar.2013.06.009.
   Web of Science ®Google Scholar
• Kamel, Ehsan, and Ali Memari. 2019. “Review of BIM’s Application in Energy Simulation: Tools, Issues, and Solutions.” Automation in Construction 97: 164–180. https://doi.org/10.1016/j.autcon.2018.11.008.
   Web of Science ®Google Scholar
• Katsigiannis, K., and G. Aretoulis. 2021. “Sustainable Development and Building Information Modeling: A Systematic Review.” Renewable and Sustainable Energy Reviews 138: 110628. https://doi.org/10.1016/j.rser.2020.110628.
   Google Scholar
• Konstantinidis, Apostolos. 2018. “B.I.M. and Artificial Intelligence in the Design and Construction of Earthqake Resistant Buildings.” Version 7.5.
   Google Scholar
• Krygiel, E., N. Nies, and S. McDowell. 2008. Green BIM: Successful Sustainable Design with Building Information Modeling. Indianapolis.: Wiley.
   Google Scholar
• Li, Jingming, Kereshmeh Afsari, Nianping Li, Jinqing Peng, Zhibin Wu, and Haijiao Cui. 2020. “A Review for Presenting Building Information Modeling Education and Research in China.” Journal of Cleaner Production 259: 120885. https://doi.org/10.1016/j.jclepro.2020.120885.
   Web of Science ®Google Scholar
• Li, Clyde Zhengdao, Xulu Lai, Bing Xiao, Vivian W.Y. Tam, Shan Guo, and Yiyu Zhao. 2020. “A Holistic Review on Life Cycle Energy of Buildings: An Analysis from 2009 to 2019.” Renewable and Sustainable Energy Reviews 134: 110372. https://doi.org/10.1016/j.rser.2020.110372.
   Web of Science ®Google Scholar
• Li, Lingzhi, Ingfeng Yuan, Meiling Tang, Zhao Xu, Wei Xu, and Yusi Cheng. 2021. “Developing a BIM-Enabled Building Lifecycle Management System for Owners: Architecture and Case Scenario.” Automation in Construction 129: 103814. https://doi.org/10.1016/j.autcon.2021.103814.
   Web of Science ®Google Scholar
• Manoj Philip, Adhil, and M. Ramesh Kannan. 2020. “Constructability Assessment of Cast in-Situ, Precast and Modular Reinforced Concrete Structures.” Materials Today: Proceedings 45 (7): 6011–6015. https://doi.org/10.1016/j.matpr.2020.09.528.
   Google Scholar
• Mashayekhi, Ali, and Gholamreza Heravi. 2020. “A Decision-Making Framework Opted for Smart Building's Equipment Based on Energy Consumption and Cost Trade-off Using BIM and MIS.” Journal of Building Engineering 32: 101653. https://doi.org/10.1016/j.jobe.2020.101653.
   Web of Science ®Google Scholar
• McCarthy, John, and Patrick J. Hayes. 1969. Some Philosophical Problems From the Standpoint of Artificial Intelligence. San Francisco: Computer Science Department, Stanford University.
   Google Scholar
• McKinsey Global Institute. 2018. Notes from the AI Frontier Modeling the Impact of AI on the World Economy. Discussion Paper.
   Google Scholar
• Na, Seunguk, Seokjae Heo, Sehee Han, Yoonsoo Shin, and Myeunghun Lee. 2022. “Development of an Artificial Intelligence Model to Recognise Construction Waste by Applying Image Data Augmentation and Transfer Learning.” Buildings 12 (2): 175. https://doi.org/10.3390/buildings12020175.
   Web of Science ®Google Scholar
• Oraee, Mehran, M. Reza Hosseini, David J. Edwards, Heng Li, Eleni Papadonikolaki, and Dongping Cao. 2019. “Collaboration Barriers in BIM-Based Construction Networks: A Conceptual Model.” International Journal of Project Management 37 (6): 839–854. https://doi.org/10.1016/j.ijproman.2019.05.004.
   Web of Science ®Google Scholar
• Othman, Idris, Yasser Yahya Al-Ashmori, Yani Rahmawati, YH Mugahed Amran, and Mohammed Ali Mohammed Al-Bared. 2020. “The Level of Building Information Modelling (BIM) Implementation in Malaysia”. Ain Shams Engineering Journal. https://doi.org/10.1016/j.asej.2020.04.007.
   Web of Science ®Google Scholar
• Ozturk, Gozde Basak, and Mert Tunca. 2020. “Artificial Intelligence in Building Information Modeling Research: Country and Document-Based Citation and Bibliographic Coupling Analysis.” Celal Bayar Üniversitesi Fen Bilimleri Dergisi 16 (3): 269–279. https://doi.org/10.18466/cbayarfbe.770565.
   Google Scholar
• Pan, Yue, and Limao Zhang. 2020. “BIM log Mining: Learning and Predicting Design Commands.” Automation in Construction 112: 103107. https://doi.org/10.1016/j.autcon.2020.103107.
   Web of Science ®Google Scholar
• Pan, Yue, and Limao Zhang. 2021. “Roles of Artificial Intelligence in Construction Engineering and Management: A Critical Review and Future Trends.” Automation in Construction 122 (1): 103517. https://doi.org/10.1016/j.autcon.2020.103517.
   Web of Science ®Google Scholar
• Pujitha, K.S. V.S., and Kone Venkatesh. 2020. “Forecasting the Construction Cost by Using Unit Based Estimation Model.” Materials Today: Proceedings 33 (5): 613–619. https://doi.org/10.1016/j.matpr.2020.05.546.
   Google Scholar
• Ramaji, Issa J., John I. Messner, and Robert Michael Leicht. 2016. “Leveraging Building Information Models in IFC to Perform Energy Analysis in Openstudio.” In Proceedings of Building Performance Modeling Conference, 8–12. Salt Lake City: ASHRAE and IBPSA-USA SimBuild.
   Google Scholar
• Rao, T. Venkat Narayana, Akhila Gaddam, Muralidhar Kurni, and K. Saritha. 2021. “Reliance on Artificial Intelligence, Machine Learning and Deep Learning in the Era of Industry 4.0.” In Smart Healthcare System Design Book, 281–299. https://doi.org/10.1002/9781119792253.ch12
   Google Scholar
• Sacks, Rafael, Chuck Eastman, Ghang Lee, and Paul Teicholz. 2018. BIM Handbook BIM Handbook Rafael Sacks, 1–639. New Jersey: John Wiley & Sons.
   Google Scholar
• Sacks, Rafael, Mark Girolami, and Ioannis Brilakis. 2020. “Building Information Modelling, Artificial Intelligence and Construction Tech.” Developments in the Built Environment 4: 100011. https://doi.org/10.1016/j.dibe.2020.100011.
   Google Scholar
• Singh, Vishal, Ning Gu, and Xiangyu Wang. 2011. “A Theoretical Framework of a BIM-Based Multi-Disciplinary Collaboration Platform.” Automation in Construction 20 (2): 134–144. https://doi.org/10.1016/j.autcon.2010.09.011.
   Web of Science ®Google Scholar
• Steel, Jim, Robin Drogemuller, and Bianca Toth. 2012. “Model Interoperability in Building Information Modelling.” Software & Systems Modeling 11 (1): 99–109. https://doi.org/10.1007/s10270-010-0178-4.
   Web of Science ®Google Scholar
• Succar, B. 2009. “Building Information Modelling Framework: A Research and Delivery Foundation for Industry Stakeholders.” Automation in Construction 18 (3): 357–375. https://doi.org/10.1016/j.autcon.2008.10.003.
   Web of Science ®Google Scholar
• Succar, B. 2018. “A Brief History of the Design Thinking Research Symposium Series.” Design Studies 57: 160–164. https://doi.org/10.1016/j.destud.2018.03.007.
   Web of Science ®Google Scholar
• Tang, Shu, Dennis R. Shelden, C. Eastman, Pardis Pishdad-Bozorgi, and Xinghua Gao. 2019. “A Review of Building Information Modeling (BIM) and the Internet of Things (IoT) Devices Integration: Present Status and Future Trends.” Automation in Construction 101: 127–139. https://doi.org/10.1016/j.autcon.2019.01.020.
   Web of Science ®Google Scholar
• Tashakkori, Hosna, Abbas Rajabifard, and Mohsen Kalantari. 2015. “A new 3D Indoor/Outdoor Spatial Model for Indoor Emergency Response Facilitation.” Building and Environment 89: 170–182. https://doi.org/10.1016/j.buildenv.2015.02.036.
   Web of Science ®Google Scholar
• Tsoukalas, V.D., and N.G. Fragiadakis. 2016. “Prediction of Occupational Risk in the Shipbuilding Industry Using Multivariable Linear Regression and Genetic Algorithm Analysis.” Safety Science 83: 12–22. https://doi.org/10.1016/j.ssci.2015.11.010.
   Web of Science ®Google Scholar
• Utkucu, Duygu, and Hatice Sözer. 2020. “Interoperability and Data Exchange Within BIM Platform to Evaluate Building Energy Performance and Indoor Comfort.” Automation in Construction 116: 103225. https://doi.org/10.1016/j.autcon.2020.103225.
   Web of Science ®Google Scholar
• Wang, Shih-Hsu, Wei-Chih Wang, Kun-Chi Wang, and Shih-Yu Shih. 2015. “Applying Building Information Modeling to Support Fire Safety Management.” Automation in Construction 59: 158–167. https://doi.org/10.1016/j.autcon.2015.02.001.
   Web of Science ®Google Scholar
• Waterhouse, Richard, and David Philp. 2016. National BIM Report, 1–28. London: National BIM Library.
   Google Scholar
• Wetzel, Eric M., and Walid Y. Thabet. 2016. “Utilizing Six Sigma to Develop Standard Attributes for a Safety for Facilities Management (SFFM) Framework.” Safety Science 89: 355–368. https://doi.org/10.1016/j.ssci.2016.07.010.
   Web of Science ®Google Scholar
• Xu, Xiaoxiao, Tim Mumford, and Patrick X.W. Zou. 2021. “Life-cycle Building Information Modelling (BIM) Engaged Framework for Improving Building Energy Performance.” Energy and Buildings 231: 110496. https://doi.org/10.1016/j.enbuild.2020.110496.
   Web of Science ®Google Scholar