William P. Leser

TL;DR: A reverse‐time migration imaging algorithm was combined with a numerical simulator—the three‐dimensional (3D) elastodynamic finite integration technique (EFIT)—to provide multi‐mode damage imaging that enables characterization of damage type and size, general sensitivity to unknown damage types, higher resolution imaging, and detectability regardless of the data acquisition system used.

TL;DR: In this article, structural health monitoring (SHM) is integrated with damage progression models to form a probabilistic prediction of a structure's rema... using inverse uncertainty quantification techniques.

TL;DR: The ability to predict accurately and in the presence of uncertainty is demonstrated, suggesting that the proposed DT method is feasible for fatigue life prognosis and should be pursued further with a focus on increasing application realism.

TL;DR: In this article, a first step toward integrating two emerging structural health management paradigms: digital twin and sensory materials is presented, which is an emerging life management and certification paradigm whereby models and simulations consist of as-built vehicle state, as-experienced loads and environments, and other vehicle-specific history to enable high-fidelity modeling of individual aerospace vehicles throughout their service lives.

TL;DR: In this article, a novel experimental mechanics technique using Scanning Electron Microscopy (SEM) in conjunction with Acoustic Emission (AE) monitoring is discussed to investigate microstructure-sensitive mechanical behavior and damage of metals and to validate AE related information.