Hashem Jahangir (ed.); Harish Chandra Arora (ed.); José Viriato Araújo Dos Santos (ed.); Krishna Kumar (ed.); Aman (e Kumar Springer (2025) Kovakantinen kirja
Nandakumar Kalarikkal (ed.); B. C. Bhadrapriya (ed.); Anne Bose Bosely (ed.); Parasuraman Padmanabhan (ed.); Sabu (e Thomas Springer (2025) Kovakantinen kirja
This book offers the use of artificial intelligence, image processing, model analysis, laser scanners, shearography, drones, contourlet, wavelet, signal processing techniques and other SHM techniques to detect the damages in the concrete as well as masonry structures. Corrosion is one major factor that causes reinforced concrete structures to deteriorate over time. However, the degrading process is not evenly distributed throughout the structure. The damage can be detected timely and the structure's degradation model can be updated with the help of proper monitoring and inspection techniques. The damages in the masonry structures may happen due to moisture ingress, cracking, mortar failure, settlement and spalling, etc. Structure health monitoring (SHM) may assist in understanding the structures deterioration mechanisms and reducing the ongoing deterioration in a scientific manner. A complete detail of both the traditional and cutting-edge approaches used in the SHM process is described in this book. The latest non-destructive techniques and semi-destructive techniques shall also be discussed in this book. This book aids academics and industry professionals with recent developments in SHM techniques. Additionally, it encourages researchers in coming up with creation of newer applications in structural engineering.
