Structural health monitoring (SHM) has developed into an important area of research over recent decades in mechanical and civil engineering.
SHM includes various sensing techniques, field testing, signal processing, transmission, and data management. Early damage identification can anticipate and warn against structural failures, preventing significant economic loss. Stronger and more in-depth understanding of structures can also benefit evaluation of current conditions and potential in-service life. This Special Collection aims to explore recent advances of SHM and damage identification, especially those for engineering applications. We encourage the submission of multidisciplinary studies, including investigations related to SHM from mechanical and civil engineering, numerical simulation, and signal processing. High quality original research and comprehensive review articles are both welcomed.
