Development and Application of Swarm Intelligence and Neural Network Techniques for Structural Identification

Abstract

This thesis develops novel swarm intelligence approaches to conduct structural identification, including structural damage identification and nonlinear parameter identification. Comprehensive numerical and experimental verifications demonstrate the necessity and rationality of the developed modifications and the effectiveness and performance of using the proposed approaches for various structural identification problems.