SBFEM and Bayesian inference for efficient multiple flaw detection in structures
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 explores the application of Bayesian inference to identify the flaws …
A guided Bayesian inference approach for detection of multiple flaws in structures using the extended finite element method
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 …
multiple flaws in structures without a priori knowledge on the number of flaws. Uncertainties …
Flaws detection in thin plate structures based on SBFEM and machine learning
L ZHAO, S JIANG, C DU - Engineering Mechanics, 2021 - engineeringmechanics.cn
Abstract Combining Scaled Boundary Finite Element Method (SBFEM) and machine
learning algorithm, the flaw information in the structure is quantitatively reversed based on …
learning algorithm, the flaw information in the structure is quantitatively reversed based on …
Nondestructive identification of multiple flaws using XFEM and a topologically adapting artificial bee colony algorithm
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 …
enhanced artificial bee colony (EABC) algorithm to detect and quantify multiple flaws in …
Scaled boundary finite element based two-level learning approach for structural flaw identification
A comprehensive framework that combines classification and regression techniques through
machine learning (ML) algorithms to address the inverse problem of flaw identification and …
machine learning (ML) algorithms to address the inverse problem of flaw identification and …
A two-scale algorithm for detection of multiple flaws in structures modeled with XFEM
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 …
inverse process, where the forward problem is based on eXtended Finite Element Method …
A multiscale flaw detection algorithm based on XFEM
We present a novel multiscale algorithm for nondestructive detection of multiple flaws in
structures, within an inverse problem type setting. The key idea is to apply a two‐step …
structures, within an inverse problem type setting. The key idea is to apply a two‐step …
Combining dynamic XFEM with machine learning for detection of multiple flaws
S Jiang, L Zhao, C Du - International Journal for Numerical …, 2021 - Wiley Online Library
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 …
dynamic extended finite element method (XFEM) with machine learning for the first time. The …
Experimental application and enhancement of the XFEM–GA algorithm for the detection of flaws in structures
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 …
have previously been shown to be very effective in the detection of flaws in structures. By …
Methods for the rapid detection of boundary condition variations in structural systems
This study proposes a novel anomaly detection approach focusing on structural components
which do not have a baseline model and with complex boundary conditions that cannot be …
which do not have a baseline model and with complex boundary conditions that cannot be …