Application of building information modeling and damage detection technology in disaster recovery and reconstruction

Autor: Adrianto Oktavianus, Po-Han Chen, Jacob Je- Chian Lin
Rok vydání: 2022
Zdroj: E3S Web of Conferences. 347:01011
ISSN: 2267-1242
DOI: 10.1051/e3sconf/202234701011
Popis: In the post-disaster recovery and reconstruction phase, building assessment is a very important first step in the process of repairing damaged buildings. In practices, the building assessment still needs building visual inspection and manual analysis which requires a lot of energy and time. Various emerging technologies in the construction sector that can be used to solve problems, for example: Building Information Modeling (BIM), image processing, artificial intelligence. The study aims to review the application of BIM and damage detection technology in postdisaster buildings assessment process. Furthermore, the study focuses more specifically on review of the technology application related to BIM and artificial intelligence for damage detection on crack or concrete spalling in post-disaster recovery and reconstruction. The framework of the automatic integration of damage detection technology and BIM was developed as a way to generate retrofitting designs automatically based on field inspection and building information in post-disaster recovery and reconstruction.
Databáze: OpenAIRE