Developing Optimal Strategies for Structural Health Monitoring: Stochastic Inverse Methodologies for Interrogating Dielectric Materials Using Microwaves

摘要

The quantitative nondestructive evaluation (QNDE) of material aging parameters continues to be a very challenging problem. In our approach, we formulated a forward problem arising in specific micro guided wave test. A stochastic inversion technique based on the Metropolis-Hasting algorithm was applied to the problem. The feasibility and validity of the approach was demonstrated through computational experiments.