Identifying factors affecting the integration of scanning techniques for building information modeling in construction projects

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Article Type:
Research/Original Article (دارای رتبه معتبر)
Abstract:
Building information modeling is a digital representation of a building or infrastructure that helps architects, engineers, and construction professionals design, plan, and manage construction projects more efficiently. There is a need to integrate building information modeling techniques in construction projects to increase the efficiency of the project, in the meantime, different technologies can be used to improve the efficiency, therefore, in this research, the scanning technique for modeling is investigated. The building information is in the projects under construction. In the meantime, the qualitative part of the research, which includes studies and extraction of effective factors from previous related research, has been started, which has been completed by confirming and screening the factors using the fuzzy Delphi method and focusing on the opinion of experts in two phases. In order to calculate the adequacy of the size of the statistical population, the sphericity-Bartlett test was used and the results obtained were confirmed by experts. Based on the standard coefficients, the index of data processing collected with a coefficient of 0.94, the index of data collection with a coefficient of 0.86, the index of choosing the optimal laser scan with a coefficient of 0.79, the index of using data in modeling with a coefficient of 0.68, Results checking index with a coefficient of 0.64 and quality inspection index with a coefficient of 0.59 can be prioritized. By using factors such as preparation of a preliminary map in order to manage encounters in the process of data collection and display them in the form of geographic information system maps, and to monitor the dimensions and components of the project It is provided to design and implement the building with higher efficiency.
Language:
Persian
Published:
Journal of Structural and Construction Engineering, Volume:10 Issue: 10, 2024
Pages:
49 to 73
https://magiran.com/p2698099  
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