Automated detection of building rules compliance using building information modelling

Ahmed Mohammed Abdelalim, Emad E. Elbeltagi and Mohamed Abdelgawad

International Journal of Applied Management Science, 2024, vol. 16, issue 2, 138-173

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. (search for similar items in EconPapers)
Date: 2024
References: Add references at CitEc
Citations:

Downloads: (external link)
http://www.inderscience.com/link.php?id=138650 (text/html)
Access to full text is restricted to subscribers.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:ids:injams:v:16:y:2024:i:2:p:138-173

Access Statistics for this article

More articles in International Journal of Applied Management Science from Inderscience Enterprises Ltd
Bibliographic data for series maintained by Sarah Parker ().