BIM-integrated digital twin framework for data collection and assessment of existing RC buildings
Expert Systems with Applications, cilt.332, ss.1-33, 2027 (SCI-Expanded, Scopus)
- Yayın Türü: Makale / Tam Makale
- Cilt numarası: 332
- Basım Tarihi: 2027
- Doi Numarası: 10.1016/j.eswa.2026.133555
- Dergi Adı: Expert Systems with Applications
- Derginin Tarandığı İndeksler: Applied Science & Technology Source, Academic Search Ultimate (EBSCO), Engineering Source (EBSCO), Scopus, Technology Collection (ProQuest), Aerospace Database, Science Citation Index Expanded (SCI-EXPANDED), Compendex, INSPEC, Public Affairs Index
- Sayfa Sayıları: ss.1-33
- İnönü Üniversitesi Adresli: Evet
Özet
Completely representing the properties of a building in a seismic assessment through data collection is a demanding endeavor. Current approaches rely on manual, time-consuming methods that are not integrated with digital systems which may result in incomplete or improper data collection processes, leading to incorrect earthquake performance analysis. In this paper, an expert system that integrates Building Information Modeling (BIM) and Digital Twin (DT) technologies is developed to assist, optimize, manage, and digitalize the data collection process and to take data-based decisions to increase the accuracy, transparency and efficiency of the assessment process. The developed system effectively optimizes data collection with genetic algorithm. Moreover the system contains an integrated database which can manage collected data from multi-resource through seismic performance analysis process and also visualizes the collected data through the embedded game engine. Seismic performance analyses of two existing buildings managed by the developed system demonstrated that the developed DT approach provides complete and efficient data collection and evaluation for seismic assessment.