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 …

This paper presents a novel algorithm for detection of multiple flaws in structures as an
inverse process, where the forward problem is based on eXtended Finite Element Method …

We present a novel algorithm based on the extended finite element method (XFEM) and an
enhanced artificial bee colony (EABC) algorithm to detect and quantify multiple flaws in …

The extended finite element formulation (XFEM) combined with genetic algorithms (GAs)
have previously been shown to be very effective in the detection of flaws in structures. By …

A novel methodology for multiple flaw detection is presented in this study. It combines the
dynamic extended finite element method (XFEM) with machine learning for the first time. The …

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 …

This paper investigates the extended finite element method (XFEM)-GA detection algorithm
proposed by Rabinovich et al.(Int. J. Numer. Meth. Engng 2007; 71 (9): 1051–1080; Int. J …

The classical nonuniqueness problem exists due to uncertainty in the finite element (FE)
calibration field. Namely, multiple models with different intrinsic parameters may all fit the …

This paper presents an effective computational approach comprised of forward and inverse
analyses for detection of multiple complex flaw clusters in elastic solids. A three-step …