Title: Automated detection of building rules compliance using building information modelling

Authors: Ahmed Mohammed Abdelalim; Emad E. Elbeltagi; Mohamed Abdelgawad

Addresses: Civil Engineering Department, Faculty of Engineering at Mataria, Helwan University, Cairo, Egypt ' Department of Civil Engineering, College of Engineering, Qassim University, Buraydah 51452, Saudi Arabia; Structural Engineering Department, Mansoura University, Mansoura 35516, Egypt ' Faculty of Engineering at Mataria, Helwan University, Cairo, Egypt

Abstract: Issuance of buildings' permits prior to construction is vital process which requires the design drawings to abide by the governing regulations. There is an increasing demand for maintaining the compliance process with accuracy, quality and timeliness. The responsibility is majorly done by governmental authorities manually in many countries worldwide, having human errors, as well as wasting time and efforts. This paper presents an automated compliance checking model for residential buildings using building information modelling (BIM). The proposed model is carried out through interpretation of the building rules, rules-set creation, and the process of classifying architectural elements. Eventually, a compliance report is issued, whether pass or fail, in addition to identifying the non-compliance elements. A case study based on the Egyptian Construction Legislation was presented, 110 face-to-face interviews were conducted with experts to validate the model applicability. Results showed the model has positive impact and fade away the disadvantages of manual checking.

Keywords: BIM; building information modelling; ACCCS; automated code compliance checking system; SMART-codes; SMC; Solibri model checker; EDM; express data manager model checker; the Unified Egyptian Building Law (No.119/ Year. 2008); building permits.

DOI: 10.1504/IJAMS.2024.138650

International Journal of Applied Management Science, 2024 Vol.16 No.2, pp.138 - 173

Received: 18 May 2023
Accepted: 16 Oct 2023
Published online: 22 May 2024 *

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