ISSN 2285-6064, ISSN CD-ROM 2285-6072, ISSN-L 2285-6064, Online ISSN 2393-5138
     

    UPGRADING THE TRADITIONAL DATABASE THROUGH BIM-BASED SHM VISION

    Published in Scientific Papers. Series E. Land Reclamation, Earth Observation & Surveying, Environmental Engineering, Vol. XIV
    Written by Daniela DOBRE, Claudiu-Sorin DRAGOMIR, Iolanda-Gabriela CRAIFALEANU, Cornelia-Florentina DOBRESCU, Emil-Sever GEORGESCU

    Structural Health Monitoring (SHM) is a technology and methodology designed to assess the condition of structural systems by evaluating potential damage that may occur after an earthquake. Building Information Modeling (BIM) tools provide storage and visualization capabilities for digitally representing a building, incorporating raw data such as photographs, measurements, point clouds, and damage information. This paper presents a framework aimed at enhancing traditional databases. It integrates data collected from various sensors installed within a structure, employing post-processing techniques like finite element analysis to evaluate the health of both structural and non-structural elements. Additionally, the soil conditions are taken into account during these assessments. The collected information is then incorporated into a BIM environment featuring an improved interface that enhances connectivity between the two system architectures. This integration utilizes standardized file formats as defined by ISO standards. Developing scientific and experimental databases for building structures is an emerging trend in global research and a key component of the Romanian National Strategy for Seismic Risk Reduction. Digital building information models facilitate real-time updates and improve coordination among intervention teams following significant earthquakes.

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