Time Domain Strain/Stress Reconstruction Based on Empirical Mode Decomposition: Numerical Study and Experimental Validation

Abstract

Structural health monitoring has been studied by a number of researchers as well as various industries to keep up with the increasing demand for preventive maintenance routines. This work presents a novel method for reconstruct prompt, informed strain/stress responses at the hot spots of the structures based on strain measurements at remote locations. The structural responses measured from usage monitoring system at available locations are decomposed into modal responses using empirical mode decomposition. Transformation equations based on finite element modeling are derived to extrapolate the modal responses from the measured locations to critical locations where direct sensor measurements are not available. Then, two numerical examples (a two-span beam and a 19956-degree of freedom simplified airfoil) are used to demonstrate the overall reconstruction method. Finally, the present work investigates the effectiveness and accuracy of the method through a set of experiments conducted on an aluminium alloy cantilever beam commonly used in air vehicle and spacecraft. The experiments collect the vibration strain signals of the beam via optical fiber sensors. Reconstruction results are compared with theoretical solutions and a detailed error analysis is also provided.

A Probabilistic Damage Identification Method for Shear Structure Components Based on Cross-Entropy Optimizations

“…Several non-destructive evaluation methods such as ultrasound inspection [7][8][9][10][11][12][13], eddy-current testing [14,15], and Lamb wave-based methods [16][17][18][19][20][21] can effectively identify local damages in a component. To identify the component damage on a global basis, capturing the changes in vibration characteristics of the entire structure is one of the few methods that can be applied in practice [22,23].…”