Conclusions and Prospects for Structural Health Monitoring

In this book, it has been attempted to address some major challenging issues related to long-term health monitoring of civil structures based on the technology of remote sensing and machine learning. For this reason, various unsupervised learning methods have been proposed to detect any abnormal conditions in civil structures under unknown EOCs using small and large sets of displacement responses obtained from SAR images. This chapter aims to mention the main conclusions of the proposed methods in both numerical and experimental validation stages. Due to the importance of SHM and the benefits of remote sensing, some suggestions are given to further evaluate in future research activities.