Abstract
In the context of modern development in the construction industry and engineering design, the utilization of Building Information Modeling (BIM) has acquired strategic significance for the technical inspection of buildings. This article examines the importance of BIM as a tool aimed at obtaining comprehensive and detailed information about the construction, condition, and functionality of buildings. The primary objective of employing BIM in the context of technical inspections lies in the ability to create digital models that integrate diverse data related to the constructive and engineering characteristics of buildings. This ensures the standardization of information and simplifies analytical processes directed towards making well-founded decisions. The process of modeling an analytical model within the BIM system requires the integration of calculations with model parameters to account for the behavior of constructions under various load conditions and different design alternatives. The application of analytical analysis methods in the digital environment allows for more precise and reliable results, facilitating the identification of potential issues and optimizing design decisions.
 The paper presents an analysis of the experience in using preprocessors in creating computational models within the BIM system. Special attention is given to the role of the Structural Information Model (SIM) in the life cycle of the BIM model. The rules and methods of SIM development in the information modeling system are discussed, along with the unique features in the development of an analytical model within the SIM system. The study elaborates on the advantages of utilizing SIM during the technical inspection of buildings and provides specific examples for addressing typical issues in the construction phase. Emphasis is placed on potential outcomes and functionality achievable through the use of the SIM model in addressing tasks related to the technical inspection of buildings, contributing to the enhancement of efficiency and accuracy in the analysis of structural conditions.
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