STRUCTURAL & MULTIDISCIPLINARY OPTIMIZATION GROUP
	Dr. Haftka Dr. Kim Mechanical & Aerospace Engineering University of Florida
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Research SBDO Probabilistic SHM Multiscale Modeling ITPS Evolution Resource Allocation Unexpected Structural Problems	Probabilistic SHM Updating of Paris law’ exponent parameter m using Bayesian updating. This improvement can be use to have a better accuracy in the estimation of remaining useful life of a structure. Structural Health Monitoring: Damage diagnosis with piezoelectric sensors and actuators Imaging diagnosis result with migration technique