This paper investigates the potential of the concomitant use of both Isogeometric Boundary
Element Method (IGABEM) and Artificial Neural Networks Algorithm (ANN) to determine the …

In this article, we propose a data-driven multi-flaw detection strategy based on deep learning
and the boundary element method (BEM). In the training phase, BEM is implemented to …

The objective of this paper is to introduce a novel fast modeling tool called peri-ultrasound
for linear/nonlinear ultrasonic wave propagation modeling. This modeling approach is …

Plate-like structures can be characterized by a variety of abrupt geometric changes affecting
the Lamb wave propagation, similarly to damage occurring in service. Therefore, a deep …

A Bayesian framework is presented for finding the optimal locations of strain sensors in a
plate with a crack with the goal of identifying the crack properties, such as crack location …

This work presents a peri-ultrasound theory based on ordinary state-based peridynamics for
modeling elastic waves propagating in three-dimensional (3-D) plate structures and …

We propose a guided Bayesian inference approach for detection and quantification of
multiple flaws in structures without a priori knowledge on the number of flaws. Uncertainties …

Bayesian inference is a powerful technique for damage/flaw detection in critical structures.
This paper explores the application of Bayesian inference to identify the flaws …

Composites are high performance advanced materials with a growing applicability due to
their extreme strength, rigidity to weight ratios. However, usual kinds of damage are hardly …

An optimization of the excitation–measurement configuration is proposed for the
characterization of damage in PZT-4 piezoelectric plates, from a numerical point of view. To …