Numerical methods such as finite element have been flourishing in the past decades for
modeling solid mechanics problems via solving governing partial differential equations …

Structural defect identification is a vital aspect of structural health monitoring used to assess
the safety of engineering structures. However, quantitatively determining the dimensions of …

This paper investigates a new probabilistic strategy for Bayesian model updating using
incomplete modal data. Direct mode matching between the measured and the predicted …

A numerical scheme is proposed for the detection of multiple cracks in three dimensional
(3D) structures. The scheme is based on a variant of the extended finite element method …

Chemical reaction neural network (CRNN), a recently developed tool for autonomous
discovery of reaction models, has been successfully demonstrated on a variety of chemical …

Abstract Ultrasonic Guided Waves (GW) actuated by piezoelectric transducers installed on
structures have proven to be sensitive to small structural defects, with acquired scattering …

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 …

The identification of internal structural flaws is an important research topic in structural health
monitoring. At present, structural safety inspections based on nondestructive testing …

In this paper, we use the magnetic field and displacement distributions to detect crack in bulk
superconductors. The (Re) BCO bulk superconductors are ceramic oxides which have low …

An adaptive multiscale approach for identifying multiple flaws in structures is proposed in
this paper. The approach includes a two-step process in which a coarse-scale search …