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Clash Detection Using Building Information Modeling (BIM) Technology in the Republic of Kazakhstan

Author(s): ORCID
ORCID
ORCID
ORCID
Medium: journal article
Language(s): English
Published in: Buildings, , n. 2, v. 12
Page(s): 102
DOI: 10.3390/buildings12020102
Abstract:

Research on the digital built environment in the context of identifying and minimizing clashes is a critical area to investigate owing to the significant influence of clashes on the construction process. This research aims to identify the current state of building information modeling (BIM) enabled clash detection in the architecture, engineering, and construction and operation (AECO) industry of the Republic of Kazakhstan. It further identifies the main reasons for clash occurrence, methods, and practices used to decrease the workload on BIM project teams. It also recognizes the existence of BIM departments (their type and functionalities). It aims to answer whether the transition from clash detection to clash avoidance is possible in a country where BIM technology has just penetrated. This research conducted a literature review and review of current regulatory documents regarding BIM technology, interviews with industry professionals, and a survey among construction companies and design organizations. Although the AECO industry of Kazakhstan has just entered the BIM environment, this research has shown that BIM-enabled clash detection and resolution processes are trying to evolve in parallel. It was concluded that the transition is difficult in a country where document assistance with clash detection and resolution is not well developed.

Copyright: © 2022 by the authors; licensee MDPI, Basel, Switzerland.
License:

This creative work has been published under the Creative Commons Attribution 4.0 International (CC-BY 4.0) license which allows copying, and redistribution as well as adaptation of the original work provided appropriate credit is given to the original author and the conditions of the license are met.

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  • About this
    data sheet
  • Reference-ID
    10657736
  • Published on:
    17/02/2022
  • Last updated on:
    01/06/2022
 
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