TY  - CHAP
AU  - Shaofei Jiang
AU  - Shenglan Ma
ED  - Moises Rivas-Lopez
ED  - Wendy Flores Fuentes
ED  - Oleg Sergiyenko
Y1  - 2017-06-21
PY  - 2017
T1  - Structural Damage Detection Based on Improved Multi-Particle Swarm Co-Evolution Optimization Algorithm
N2  - Structural health monitoring (SHM) is a new engineering field with a growing tendency, based on technology development focused on data acquisition and analysis, to prevent possible damage in man-made structures and land's natural faults. The data are obtained from sensors and monitoring systems that allow detecting damages on structures, space vehicles, and land natural faults, to model their behavior under adverse scenarios, in order to search the detection of anomalies. Currently, there are many SHM systems with sensors based on different technologies like optical fiber, video cameras, optical scanners, wireless networks, and piezoelectric transducers, among others. In this context, the present book includes selected chapters with theoretical models and applications, to preserve infrastructure and prevent loss of human lives.
BT  - Structural Health Monitoring
SP  - Ch. 3
UR  - https://doi.org/10.5772/intechopen.68385
DO  - 10.5772/intechopen.68385
SN  - 978-953-51-3254-7
PB  - IntechOpen
CY  - Rijeka
Y2  - 2024-04-19
ER  -