Image-based Semantic Recognition and Segmentation of Concrete Damages for the Assessment of Existing Concrete Structures

Abstract: In this study, an approach to integrate concrete crack and spalling into BIM models using the open data format Industry Foundation Classes (IFC) will be introduced. After a learning-based crack and spalling detection algorithm has been developed, the creation of the BIM model will be demonstrated. The detection algorithm involves a transfer learning approach to minimise the need for annotated training data, while achieving a high prediction accuracy