Structure monitoring and deformation analysis of tunnel structure

Abstract Structural health monitoring is a hot topic within the field of structure and transportation engineering. It is vital to develop intelligent perception methods for tunnel structure monitoring which integrates multi-source visual data. This paper focuses on the monitoring of composite tunnel structures through the visual perception technology and discusses the segmentation deformation, cracks, and water seepage of tunnel structure. An algorithm for deformation monitoring with laser-based technology is proposed which can effectively improve the reliability of structural health monitoring. The results show that the deformation analysis based on TLS can effectively verify the location of water seepage and cracks, and photogrammetry technology can clearly identify and quantify the dimension of the diseases.