A collaborating approach for hole detection with the numerical manifold method and Elman neural network

Cites Work

Modeling complex crack problems using the numerical manifold method
Numerical analysis of 2-D crack propagation problems using the numerical manifold method
Detection of multiple flaws in piezoelectric structures using XFEM and level sets
An improved numerical manifold method and its application
Three-dimensional fracture propagation with numerical manifold method
Numerical simulation of dynamic fractures in 2D FGMs using the numerical manifold method
Crack analysis using numerical manifold method with strain smoothing technique and corrected approximation for blending elements
Computation of T-stresses for multiple-branched and intersecting cracks with the numerical manifold method
Reformulation of dynamic crack propagation using the numerical manifold method
Preconditioned numerical manifold method for linear elastic fractures
Nondestructive identification of multiple flaws using XFEM and a topologically adapting artificial bee colony algorithm
A multiscale flaw detection algorithm based on XFEM
A new strategy for 3D non-persistent crack propagation by the numerical manifold method with tetrahedral meshes
Fracturing failure simulations of rock discs with pre-existing cracks by numerical manifold method
A data-driven multi-flaw detection strategy based on deep learning and boundary element method
GMLS-based numerical manifold method in mechanical analysis of thin plates with complicated shape or cutouts
SBFEM and Bayesian inference for efficient multiple flaw detection in structures
Mechanical modeling of arbitrarily perforated orthotropic composites with the numerical manifold method

This page was built for publication: A collaborating approach for hole detection with the numerical manifold method and Elman neural network