Building Information Modeling and Building Knowledge Modeling in Project Management
Background: The key element for the success of construction projects in the era of technology and information is knowledge. Knowledge management in the construction sector has become a necessary and vital matter, starting with the planning stage, designing, implementing and ending with operation and maintenance stage. One of the most prominent features of knowledge in the construction sector is the building knowledge modeling (BKM). Problem: Although the design stage is considered one of the most important stages of the construction project in terms of eliciting the knowledge element, designers suffer from poor knowledge management, as well as their inability to exploit the capabilities and benefits of building information modeling (BIM), especially knowledge management. Objective: The main aim of this study is to present a conceptual model that integrates the basic principles of knowledge management with contemporary principles of BIM in the design stage and has the ability to store, classify and share the knowledge generated from past designs into future projects. Methodology: The research methodology is constructed on reviewing the pillars of the proposed conceptual model, namely: BKM parameters, BKM library, and BKM clash detection system, then a hypothetical case to prove the validity of the proposed conceptual model using Basmaya residential complex project in the Republic of Iraq is presented as a case study. Results: New four definitions are introduced: client knowledge, context knowledge, standards knowledge and technical knowledge. The conceptual model proposed in this study has shown great ability and high efficiency in improving and developing knowledge management in the design stage of buildings and projects. In addition, the knowledge stored in the BKM library can be reused in designing new projects in the future. Novelty: The conceptual model has the ability to update constantly itself over time by sharing the knowledge of designers, suppliers and other stakeholders.
Keywordsbuilding information modeling (BIM), building knowledge modeling (BKM), client knowledge, context knowledge, standards knowledge, technical knowledge,
References1. G.A. van Nederveen, F.P. Tolman, Modelling multiple views on buildings, Automation in Construction, 1(3): 215–224, 1992.
2. F.M.S. Al-Zwainy, I.A. Mohammed, K.A.K. Al-Shaikhlik, Diagnostic and assessment benefits and barriers of BIM in construction project management, Civil Engineering Journal, 3(1): 63–77, 2017.
3. R. Sacks, Ch. Eastman, G. Lee, P. Teicholz, BIM handbook: A guide to building information modeling for owners, designers, engineers, contractors, and facility managers, Wiley, 2018, 682 pages.
4. A. Al Sehrawy, O. Amoudi, A BIM-based conceptual model to manage knowledge in construction design, [in:] Proceedings of the Creative Construction e-Conference, 2020, pp. 2–12.
5. R. Fruchter, T. Schrotenboer, G.P. Luth, From building information model to building knowledge model, [in:] Proceedings of the 2009 ASCE International Workshop on Computing in Civil Engineering, Austin, Texas, 2009, pp. 380–389.
6. P. Meadati, J. Irizarry, BIM – A knowledge repository, Proceedings of the 46th Annual International Conference of the Associated Schools of Construction, Boston, Massachussets, 2010, 8 pages.
7. F. Liu, A.K. Jallow, Ch.J. Anumba, D. Wu, Building knowledge modeling: Integrating knowledge in BIM, Proceedings of the CIB W78 2013: 30th International Conference, Bejing, China, 10 pages.
8. A. Deshpande, S. Azhar, S. Amireddy, A framework for a BIM-based knowledge management system, Procedia Engineering, 85: 113–122, 2014.
9. Y.C. Lin, Construction 3D BIM-based knowledge management system: a case study, Journal of Civil Engineering and Management, 20(2): 186–200, 2014.
10. X. Zhang, X. Mao, S.M. Abourizk, Developing a knowledge management system for improved value engineering practices in the construction industry, Automation in Construction, 18(6): 777–789, 2009.
11. H.C. Tan, P.M. Carrillo, C.J. Anumba, N. Bouchlaghem, J.M. Kamara, C.E. Udeaja, Development of a methodology for live capture and reuse of project knowledge in construction, Journal of Management in Engineering, 23(1): 18–26, 2014.
12. F.M.S. Al-Zwainy, J.A. Al-Somaydaii, Statistical evaluation of value engineering criteria’s in sustainable building projects, Iraqi Journal Civil Engineering, 11(3): 1–14, 2017.
13. F.M.S. Al-Zwainy, Performance assessment of BIM managers using multi-source feedback method – A pilot study, ARPN Journal of Engineering and Applied Sciences, 13(22): 8880–8888, 2018.
14. F.M. Al-Zwainy, F.K. Jaber, A.M. Tufiq, Statistical evaluation for communication management in Iraqi consultant bureaus, Research Journal of Applied Sciences, Engineering and Technology, 13(7): 593–605, 2016.
15. F.M.S. Al-Zwainy, I.A. Mohammed, I.F. Varouqa, Diagnosing the causes of failure in the construction sector using root cause analysis technique, Journal of Engineering, 2018, Article ID 1804053, 12 pages, 2018.
16. F.M.S. Al-Zwainy, R.A. Mezher, Diagnose the causes of cost deviation in highway construction projects by using root cause analysis techniques, Arabian Journal for Science and Engineering, 43(4): 2001–2012, 2017.