اعتبار،چابکی،پاسخگویی

مروری بر تاثیرات مدل‌سازی اطلاعات ساختمان در صنعت ساخت

نوع مقاله : مقاله مروری

نویسنده

کارشناسی ارشد، گروه عمران، دانشکده فنی و مهندسی، دانشگاه آزاد اسلامی واحد کرمان، کرمان، ایران

چکیده
ثابت شده است که صنعت معماری، مهندسی و ساخت (AEC) به سرعت در حال تکامل و ظهور با فناوری‌های معاصر است. مشاهده می‌شود که تحقیقات علمی و مدل‌های نظری مفهومی متعددی برای سنجش اهمیت این فناوری‌ها به منظور بهینه‌سازی کیفیت و عملکرد پروژه‌های ساختمانی مبتنی بر مدل‌سازی اطلاعات ساختمان طراحی و پیاده‌سازی شده‌اند. همزمان، رویکرد سیستمی برای مدل‌سازی اطلاعات ساختمان و فناوری اطلاعات و ارتباطات (ICT) باید به خوبی از نظر روشن ساختن دستاوردهای فعلی و آتی با پیاده‌سازی مدل‌سازی اطلاعات ساختمان در صنعت معماری، مهندسی و ساخت شناخته و مستند شود. در این مقاله، اولا یک بررسی جامع از مقالات معتبر، با در نظر گرفتن پایگاه داده مقالات مجلات و کنفرانس‌ها، برای بررسی سهم مدل‌سازی اطلاعات ساختمان و فناوری‌های مرتبط در صنعت ساخت انجام شده است، دوما، تأثیر یادگیری ماشین در صنعت ساخت برجسته شده است. سوم اینکه، با این حال، مشخص شد که رابطه بین صنعت معماری، مهندسی و ساخت و یادگیری ماشین هنوز به بلوغ نرسیده است زیرا بیشتر در مرحله ساخت پیاده‌سازی می‌شود، این مطالعه نشان می‌دهد توسعه چارچوب پذیرش مدلسازی اطلاعات ساختمان برای ساختمان‌های قدیمی، ادغام فناوری‌های پیشرفته با مدلسازی اطلاعات ساختمان ، اعتبارسنجی مدل‌ها و فرآیندهای مبتنی بر مدلسازی اطلاعات ساختمان ، توسعه یک پلتفرم یکپارچه برای همکاری مؤثر، پیاده‌سازی دستورالعمل‌ها و سیاست‌های ملی، و توسعه جامعه مدلسازی اطلاعات ساختمان . تحقیقات بیشتری باید انجام شود و برای به حداقل رساندن شکاف‌های شناسایی‌شده مرتبط با پذیرش مدلسازی اطلاعات ساختمان به طور کلی و به ویژه میراث مدلسازی اطلاعات ساختمان برای تأسیسات ساختمانی موجود ادامه خواهد یافت.

کلیدواژه‌ها

موضوعات

عنوان مقاله English

A review of the impacts of building information modeling in the construction industry

نویسنده English

afrooz mohammadinasab
M.Sc. in Civil Engineering,Department of Civil Engineering, Islamic Azad University, Kerman Branch, Iran
چکیده English

It has been proven that the architecture, engineering and construction (AEC) industry is rapidly evolving and emerging with contemporary technologies. It is observed that numerous scientific researches and conceptual theoretical models have been designed and implemented to assess the importance of these technologies in order to optimize the quality and performance of construction projects based on building information modeling. At the same time, a systems approach to building information modeling and information and communication technology (ICT) should be well recognized and documented in terms of clarifying the current and future achievements with the implementation of building information modeling in the architecture, engineering and construction industry. In this paper, firstly, a comprehensive review of authoritative articles, considering the database of journal articles and conferences, is conducted to examine the contribution of building information modeling and related technologies in the construction industry. Second, the impact of machine learning in the construction industry is highlighted. Third, however, it was found that the relationship between the AEC industry and machine learning is not yet mature because it is mostly implemented in the construction phase. This study suggests developing a BIM adoption framework for older buildings, integrating advanced technologies with BIM, validating BIM-based models and processes, developing an integrated platform for effective collaboration, implementing national guidelines and policies, and developing the BIM community. Further research needs to be conducted and will continue to address the identified gaps related to BIM adoption in general and BIM legacy for existing building facilities in particular.

کلیدواژه‌ها English

  • Building Information Modeling
  • Machine Learning
  • Construction Industry
  • Automation
  • Architecture
  • Engineering and Construction Industry
Al-Ashmori, Y. Y., Othman, I., Rahmawati, Y., Amran, Y. M., Sabah, S. A., Rafindadi, A. D. u., & Mikić, M.
(2020). BIM benefits and its influence on the BIM implementation in Malaysia. Ain Shams
Engineering Journal, 11(4), 1013-1019.
Anjomshoa, E. (2024a). The application of building information modeling (BIM) system in the
smartification of green and sustainable buildings. Engineering, Construction and Architectural
Management. https://doi.org/https://doi.org/10.1108/ECAM-03-2024-0291
Anjomshoa, E. (2024b). Investigation of lightweight gypsum based on montmorillonite nanoclay with
enhanced insulation properties. International Journal of Building Pathology and Adaptation.
https://doi.org/https://doi.org/10.1108/IJBPA-10-2023-0155
Anjomshoa, E. (2024c). Key performance indicators of construction companies in branding products
and construction projects for success in a competitive environment in Iran. Engineering,
Construction and Architectural Management, 31(5), 2151-2175.
https://doi.org/https://doi.org/10.1108/ECAM-08-2023-0852
Anjomshoa, E., & Karbakhsh, A. (2023). Investigating the safety level of urban deep excavation projects
stabilized by method of braced excavations (struts) using methods based on risk assessment
and failure analysis. Journal of Structural and Construction Engineering, 10(8), 87-110.
Biswas, H. K. (2019). Automatic planning for scanning: Optimizing 3D laser scanning operations using
BIM and TLS. IAENG Int. J. Comput. Sci, 46(3), 1-9.
55 / محمدی نسب،افروز -71 ،)4(7 ، نشریه عمران و پروژه، 1404

Bottaccioli, L., Aliberti, A., Ugliotti, F., Patti, E., Osello, A., Macii, E., & Acquaviva, A. (2017). Building
energy modelling and monitoring by integration of IoT devices and building information
models. 2017 IEEE 41st annual computer software and applications conference (COMPSAC),
Codinhoto, R., Fialho, B. C., Pinti, L., & Fabricio, M. M. (2023). BIM and IoT for facilities management:
understanding key maintenance issues. In Research Anthology on BIM and Digital Twins in
Smart Cities (pp. 407-429). IGI Global.
D'Angelo, L., Hajdukiewicz, M., Seri, F., & Keane, M. M. (2022). A novel BIM-based process workflow
for building retrofit. Journal of Building Engineering, 50, 104163.
Doukari, O., Kassem, M., Scoditti, E., Aguejdad, R., & Greenwood, D. (2023). A BIM based tool for
evaluating building renovation strategies: the case of three demonstration sites in different
European countries. Construction Innovation, 24(1), 365-383.
Durdyev, S., Ashour, M., Connelly, S., & Mahdiyar, A. (2022). Barriers to the implementation of Building
Information Modelling (BIM) for facility management. Journal of Building Engineering, 46,
103736.
Edirisinghe, R., London, K. A., Kalutara, P., & Aranda-Mena, G. (2017). Building information modelling
for facility management: are we there yet? Engineering, Construction and Architectural
Management, 24(6), 1119-1154.
Fernández Rodríguez, J. F. (2023). Implementation of BIM virtual models in industry for the graphical
coordination of engineering and architecture projects. Buildings, 13(3), 743.
Ghannad, P., Lee, Y.-C., Dimyadi, J., & Solihin, W. (2019). Automated BIM data validation integrating
open-standard schema with visual programming language. Advanced Engineering Informatics,
40, 14-28.
Gigliarelli, E., Martinelli, L., & Calcerano, F. (2023). An integrated approach for energy and
environmental improvement of built heritage through building information modeling (BIM).
Mediterranean Architecture and the Green-Digital Transition: Selected Papers from the World
Renewable Energy Congress Med Green Forum 2022,
Han, S., Yao, R., & Li, N. (2021). The development of energy conservation policy of buildings in China:
A comprehensive review and analysis. Journal of Building Engineering, 38, 102229.
Huang, M., Ninić, J., & Zhang, Q. (2021). BIM, machine learning and computer vision techniques in
underground construction: Current status and future perspectives. Tunnelling and
Underground Space Technology, 108, 103677.
Ikudayisi, A. E., Chan, A. P., Darko, A., & Adedeji, Y. M. (2023). Integrated practices in the Architecture,
Engineering, and Construction industry: Current scope and pathway towards Industry 5.0.
Journal of Building Engineering, 73, 106788.
ISO, E. (2018). 19650-1; Organization and Digitization of Information about Buildings and Civil
Engineering Works, Including Building Information Modelling (BIM)-Information Management
Using Building Information Modelling-Part 1: Concepts and Principles. British Standards
Institute: London, UK.
Javed, O., Javed, A., Ali, Y., & Adil, M. (2020). Application of ICT and BIM in the implementation of
Building Byelaws. 2020 Second International Sustainability and Resilience Conference:
Technology and Innovation in Building Designs (51154),
Jia, Y., Shen, X., & Lin, X. (2023). Exploration of the Development Strategy of Building Industrialization
Based on the Application of Smart Construction Technology. 2023 4th International
Conference on Management Science and Engineering Management (ICMSEM 2023),
Kassem, M., Succar, B., & Dawood, N. (2015). Building information modeling: Analyzing noteworthy
publications of eight countries using a knowledge content taxonomy. In Building information
modeling: Applications and practices.
Katsigarakis, K., Lilis, G. N., & Rovas, D. (2021). A cloud IFC-based BIM platform for building energy
performance simulation. EC3 Conference 2021,
Koutamanis, A. (2020). Dimensionality in BIM: Why BIM cannot have more than four dimensions?
Automation in Construction, 114, 103153.
55 / محمدی نسب،افروز -71 ،)4(7 ، نشریه عمران و پروژه، 1404
70
Li, Q., Yang, W., Kohler, N., Yang, L., Li, J., Sun, Z., Yu, H., Liu, L., & Ren, J. (2023). A BIM–LCA approach
for the whole design process of green buildings in the Chinese context. Sustainability, 15(4),
3629.
Li, X., & Yao, R. (2020). A machine-learning-based approach to predict residential annual space heating
and cooling loads considering occupant behaviour. Energy, 212, 118676.
Li, Z. Q., Tan, H. C., Chia, F. C., & Wong, P. F. (2020). A Conceptual Framework for Managing Higher
Dimension Knowledge in BIM Environment. Malaysian construction research Journal (MCRJ),
237.
Lidelöw, S., Engström, S., & Samuelson, O. (2023). The promise of BIM? Searching for realized benefits
in the Nordic architecture, engineering, construction, and operation industries. Journal of
Building Engineering, 76, 107067.
Lv, Z., Li, X., Lv, H., & Xiu, W. (2019). BIM big data storage in WebVRGIS. IEEE transactions on industrial
informatics, 16(4), 2566-2573.
Manzoor, B., Othman, I., Gardezi, S. S. S., Altan, H., & Abdalla, S. B. (2021). BIM-based research
framework for sustainable building projects: a strategy for mitigating BIM implementation
barriers. Applied Sciences, 11(12), 5397.
Matarneh, S., & Elghaish, F. (2021). Building information modelling for facilities management: Skills,
implementation, and teaching map. In BIM Teaching and Learning Handbook (pp. 114-134).
Routledge.
Muñoz-La Rivera, F., Vielma, J. C., Herrera, R. F., & Carvallo, J. (2019). Methodology for building
information modeling (BIM) implementation in structural engineering companies (SECs).
Advances in Civil Engineering, 2019(1), 8452461.
Musa, S., Marshall-Ponting, A., Nifa, F. A. A., & Shahron, S. A. (2018). Building information modeling
(BIM) in Malaysian construction industry: Benefits and future challenges. AIP Conference
Proceedings,
Nguyen, T. A., Nguyen, P. T., Do, S. T., & Phan, P. T. (2021). WITHDRAWN: Application of building
information modelling (BIM) in managing the volume of high-rise building walls. In: Elsevier.
O'Keeffe, S. E. (2013). Synergy of the developed 6D BIM framework and conception of the nD BIM
framework and nD BIM process ontology. The University of Southern Mississippi.
Odubiyi, T., Aigbavboa, C., & Thwala, W. (2021). A concise review of the evolution of information and
communication technologies for engineering innovations. IOP Conference Series: Materials
Science and Engineering,
Okakpu, A., GhaffarianHoseini, A., Tookey, J., Haar, J., Ghaffarianhoseini, A., & Rehman, A. (2018). A
proposed framework to investigate effective BIM adoption for refurbishment of building
projects. Architectural Science Review, 61(6), 467-479.
Othman, I., Al-Ashmori, Y. Y., Rahmawati, Y., Amran, Y. M., & Al-Bared, M. A. M. (2021). The level of
building information modelling (BIM) implementation in Malaysia. Ain Shams Engineering
Journal, 12(1), 455-463.
Pan, Y., & Zhang, L. (2021). A BIM-data mining integrated digital twin framework for advanced project
management. Automation in Construction, 124, 103564.
Patacas, J., Dawood, N., & Kassem, M. (2020). BIM for facilities management: A framework and a
common data environment using open standards. Automation in Construction, 120, 103366.
Peters, J., & Mathews, M. (2019). What is a BIM design model?
Sadeghineko, F., & Kumar, B. (2022). Application of semantic Web ontologies for the improvement of
information exchange in existing buildings. Construction Innovation, 22(3), 444-464.
Shah, R., & Shrestha, B. (2023). A study of prospective barriers, benefits and measures for building
information modeling (BIM) adoption in Nepalese AEC industry. Journal of Smart Buildings and
Construction Technology, 5(01).
Shahinmoghadam, M., & Motamedi, A. (2019). Review of BIM-centred IoT deployment–state of the
art, opportunities, and challenges. Proceedings of the 36th International Symposium on
Automation and Robotics in Construction (ISARC 2019),
55 / محمدی نسب،افروز -71 ،)4(7 ، نشریه عمران و پروژه، 1404
71
Sholeh, M. N., Nurdiana, A., & Setiabudi, B. (2020). Identification of potential uses of building
information modeling (BIM) for construction supply chain management: preliminary studies.
IOP conference series: earth and environmental science,
Singh, V., Gu, N., & Wang, X. (2011). A theoretical framework of a BIM-based multi-disciplinary
collaboration platform. Automation in Construction, 20(2), 134-144.
Smith, P. (2014). BIM & the 5D project cost manager. Procedia-social and behavioral sciences, 119,
475-484.
Su, T., Li, H., & An, Y. (2021). A BIM and machine learning integration framework for automated
property valuation. Journal of Building Engineering, 44, 102636.
Succar, B. (2009). Building information modelling framework: A research and delivery foundation for
industry stakeholders. Automation in Construction, 18(3), 357-375.
Tan, S., Gumusburun Ayalp, G., Tel, M. Z., Serter, M., & Metinal, Y. B. (2022). Modeling the critical
success factors for BIM implementation in developing countries: Sampling the Turkish AEC
industry. Sustainability, 14(15), 9537.
Urbieta, M., Urbieta, M., Laborde, T., Villarreal, G., & Rossi, G. (2023). Generating BIM model from
structural and architectural plans using Artificial Intelligence. Journal of Building Engineering,
78, 107672.
Van Roy, A. F., & Firdaus, A. (2020). Building information modelling in Indonesia: Knowledge,
implementation and barriers. Journal of Construction in Developing Countries, 25(2), 199-217.
Vigneault, M.-A., Boton, C., Chong, H.-Y., & Cooper-Cooke, B. (2020). An innovative framework of 5D
BIM solutions for construction cost management: a systematic review. Archives of
Computational Methods in Engineering, 27, 1013-1030.
Wang, H., & Meng, X. (2019). Transformation from IT-based knowledge management into BIMsupported
knowledge management: A literature review. Expert systems with applications, 121,
170-187.
Wu, P., Jin, R., Xu, Y., Lin, F., Dong, Y., & Pan, Z. (2021). The analysis of barriers to BIM implementation
for industrialized building construction: A China study. Journal of Civil Engineering and
Management, 27(1), 1-13.
Yao, R., Zhang, S., Du, C., Schweiker, M., Hodder, S., Olesen, B. W., Toftum, J., d'Ambrosio, F. R.,
Gebhardt, H., & Zhou, S. (2022). Evolution and performance analysis of adaptive thermal
comfort models–A comprehensive literature review. Building and Environment, 217, 109020.
Yeung, J., Menacho, A. J. H., Marvuglia, A., Gutierrez, T. N., Beach, T., & Rezgui, Y. (2023). An open
building information modelling based co-simulation architecture to model building energy and
environmental life cycle assessment: A case study on two buildings in the United Kingdom and
Luxembourg. Renewable and Sustainable Energy Reviews, 183, 113419.
Zabin, A., González, V. A., Zou, Y., & Amor, R. (2022). Applications of machine learning to BIM: A
systematic literature review. Advanced Engineering Informatics, 51, 101474.
Zhai, Y., Chen, K., Zhou, J. X., Cao, J., Lyu, Z., Jin, X., Shen, G. Q., Lu, W., & Huang, G. Q. (2019). An
Internet of Things-enabled BIM platform for modular integrated construction: A case study in
Hong Kong. Advanced Engineering Informatics, 42, 100997.
Zhang, T., Doan, D. T., & Kang, J. (2023). Application of building information modeling-blockchain
integration in the Architecture, Engineering, and Construction/Facilities Management
industry: A review. Journal of Building Engineering, 77, 107551.
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