BWM-Method Prioritizing of Clashes Detected During the Construction Design Phase with Building Information Modeling (BIM)

Document Type : Research Article

Authors

School of Civil Engineering, Iran University of Science and Technology, P.O. Box 16765-163, Narmak, Tehran, Iran

Abstract

Today, due to the complexity of construction projects, Building Information Modeling (BIM) is used to increase accuracy and speed and avoid the cost of rework in a building's construction cycle. One of the most important functions of BIM technology in the design and construction phase is the identification of clashes and their reporting. The purpose of this study is to classify and prioritize the serious clashes between the two disciplines of structures and MEP. To do this, each structure type and MEP element must be assigned the required weight, which is done using the best-worst method (BWM). The corresponding questionnaire is distributed to nine BIM experts. With the help of weights and the outputs of the Navisworks software, the process of prioritizing clashes and the methods of eliminating clashes are carried out. Of the structural elements, 32% are accounted for by each beam and column element, 19% by the foundation, 13% by lateral bracing systems , and 4% by the structural floor. Due to the many elements of the MEP, they are divided into six groups. The weighting of MEPs (costs) is 39% for group five, 22% for group two, 15% for group six, 11% for group three, 9% for group four and 4% for group one. Additionally, the MEP weight (time) items are 39% for group five, 20% for group six, 14% for each item from groups two and three, 8% for group four, and 5% for group one.

Keywords

Main Subjects


[1] M. Mangal, Q. Wang, J. Cheng, Automated clash resolution of steel rebar in RC beam–column joints using BIM and GA, in:  ISARC. Proceedings of the International Symposium on Automation and Robotics in Construction, IAARC Publications, 2017.
[2] Y. Hu, D. Castro-Lacouture, Clash relevance prediction in BIM-Based design coordination using Bayesian statistics, in:  Construction Research Congress 2018, 2018, pp. 649-658.
[3] Y. Hu, D. Castro-Lacouture, Clash relevance prediction based on machine learning, Journal of computing in civil engineering, 33(2) (2019) 04018060.
[4] S. Mehrbod, S. Staub-French, N. Mahyar, M. Tory, Beyond the clash: investigating BIM-based building design coordination issue representation and resolution, Journal of Information Technology in Construction, 24 (2019).
[5] Y. Hu, D. Castro-Lacouture, C.M. Eastman, Holistic clash detection improvement using a component dependent network in BIM projects, Automation in Construction, 105 (2019) 102832.
[6] W.Y. Lin, Y.-H. Huang, Filtering of irrelevant clashes detected by BIM software using a hybrid method of rule-based reasoning and supervised machine learning, Applied Sciences, 9(24) (2019) 5324.
[7] H. Hsu, I. Wu, Employing simulated annealing algorithms to automatically resolve MEP clashes in building information modeling models, in:  ISARC. Proceedings of the International Symposium on Automation and Robotics in Construction, IAARC Publications, 2019, pp. 788-795.
[8] H.-C. Hsu, S. Chang, C.-C. Chen, I.-C. Wu, Knowledge-based system for resolving design clashes in building information models, Automation in Construction, 110 (2020) 103001.
[9] A. Hasannejad, J. Majrouhi Sardroud, A.A. Shirzadi Javid, T. Purrostam, M.H. Ramesht, An improvement in clash detection process by prioritizing relevance clashes using fuzzy-AHP methods, Building Services Engineering Research and Technology, 43(4) (2022) 485-506.
[10] A. Hasannejad, J.M. Sardrud, A.A. Shirzadi Javid, BIM-based clash detection improvement automatically, International Journal of Construction Management, 23(14) (2023) 2431-2437.
[11] J. Rezaei, Best-worst multi-criteria decision-making method, Omega, 53 (2015) 49-57.
[12] J. Rezaei, Best-worst multi-criteria decision-making method: Some properties and a linear model, Omega, 64 (2016) 126-130.
[13] L.A. Goodman, Snowball sampling, The annals of mathematical statistics,  (1961) 148-170.
[14] F. Liang, M. Brunelli, J. Rezaei, Consistency issues in the best worst method: Measurements and thresholds, Omega, 96 (2020) 102175.