Koh Chan Ghee is a Professor at the Department of Civil and Environmental Engineering and the director of the Centre for Hazards Research of National University of Singapore. His research expertise has primarily been structural dynamics, with emphasis on structural health monitoring and system identification, and more recently on structural robustness and wave particle method. He has published more than 250 international journal papers and conference papers, six invited book chapters and a book

Abstract

Structural health monitoring has increasingly become a hot research topic for engineering structures. While much improvement has been made in advances of sensing, communication and computer technologies, identification of structural parameters based on measurement signals is a promising but difficult task due to the ill-conditioned nature of inverse analysis. It is even more challenging for civil and offshore engineering structures as these structural systems are very large in terms of size, degrees of freedom and number of unknown parameters. While considerable progress has been made in system identification strategies, many computational challenges remain in achieving robust and effective identification of large structural systems using incomplete and noisy measurement signals. The speaker will share his research experience over more than two decades in structural system identification strategies, with illustration of application to train-track systems.