Geoteknik mühendisliğinde yapı bilgi modellemesi (BİM)

The rapid and continuous urbanization during the 20th century has led to an increase in man-made geohazards. Insufficient geological information and uncertainties in geological and geotechnical models have contributed to this problem. As a result, it is essential to assess geohazards in specific areas before undertaking civil engineering projects. Geospatial data plays a crucial role in the planning and management of civil facilities. Traditional Geographic Information Systems (GIS) have been used as tools for storing, manipulating, and analyzing spatial and geographic data. However, recent advancements in methods and technologies have transformed the methodologies and processes of the Architecture, Engineering, and Construction industry. Building Information Modelling (BIM) has gained popularity as an integrated digital model that complements the traditional planning approach. This study focuses on the integration of BIM and GIS with geotechnical/geological modeling (GeoBIM), which presents several challenges. The goal is to explore different integration strategies and establish a preferred workflow based on specific requirements and preference parameters. The foundation of GeoBIM is a versatile and comprehensive database that can handle digital geotechnical data seamlessly throughout the entire design process of underground infrastructure projects, eliminating the need for manual transformations. It is important to note that the accuracy of the database is crucial, as any inaccuracies may impact the study's outcomes. To address this, 3-D geological models are increasingly used to characterize ground engineering. Examining soil, rocks, and geological structures through a 3-D view proves highly effective in geotechnical design and construction to optimize costs and minimize damage and risks caused by unforeseen ground conditions. Technological advances continually reshape modeling and integration workflows. However, the proposed evaluation framework in this study is universal and adaptable for any new integration approach. Further research is needed to minimize attribute data losses and enhance interoperability between systems and professionals. Keywords: BIM, GIS, database, geotechnics, geospatial interoperability.