Parametric Model Order Reduction of Guided Ultrasonic Wave Propagation in Fiber Metal Laminates with Damage

This paper focuses on parametric model order reduction (PMOR) of guided ultrasonic wave propagation and its interaction with damage in a fiber metal laminate (FML). Structural health monitoring FML seeks to detect, localize characterize the high accuracy minimal use sensors. can be achieved by inverse problem analysis approach, which employs signal measurement data recorded embedded sensors structure. The requires us solve forward simulation underlying system several thousand times. These simulations are often exorbitantly expensive trigger need for improving their computational efficiency. A PMOR approach hinged proper orthogonal decomposition method is presented this paper. An adaptive parameter sampling technique established aid surrogate efficiently update reduced-order basis greedy fashion. numerical experiment conducted illustrate training model. results show that solution based accurately complying fidelity solution.