Voids identification by isogeometric boundary element and neural network algorithms

D Di Giacinto, V Musone, E Ruocco - International Journal of Mechanical …, 2022 - Elsevier
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 …

A fast reduced-order model for radial integral boundary element method based on proper orthogonal decomposition in nonlinear transient heat conduction problems

G Jiang, H Liu, K Yang, X Gao - Computer Methods in Applied Mechanics …, 2020 - Elsevier
In order to efficiently solve nonlinear transient heat conduction problem, a method
combining the radial integration boundary element method (RIBEM) and the proper …

Shape reconstruction in transient heat conduction problems based on radial integration boundary element method

GH Jiang, CH Tan, WW Jiang, K Yang… - International Journal of …, 2022 - Elsevier
In order to accurately identify the geometric boundary, the radial integration boundary
element method (RIBEM) combined with the modified Levenberg-Marquardt (LM) algorithm …

A linear sampling method for near-field inverse problems in elastodynamics

SN Fata, BB Guzina - Inverse problems, 2004 - iopscience.iop.org
The problem of reconstructing underground obstacles from near-field, surface seismic
measurements is investigated within the framework of a linear sampling method. Although …

The method of fundamental solutions for the detection of rigid inclusions and cavities in plane linear elastic bodies

A Karageorghis, D Lesnic, L Marin - Computers & structures, 2012 - Elsevier
We investigate the numerical reconstruction of smooth star-shaped voids (rigid inclusions
and cavities) which are compactly contained in a two-dimensional isotropic linear elastic …

Improved cuckoo search algorithm for solving inverse geometry heat conduction problems

HL Chen, B Yu, HL Zhou, Z Meng - Heat Transfer Engineering, 2019 - Taylor & Francis
Cuckoo Search (CS) algorithm has shortcomings of weak local search ability, slow
convergence speed, and low accuracy. In order to overcome these disadvantages, an …

Parameter identification for two-dimensional orthotropic material bodies by the boundary element method

L Huang, X Sun, Y Liu, Z Cen - Engineering Analysis with Boundary …, 2004 - Elsevier
A parameter identification algorithm is developed for two-dimensional orthotropic material
bodies. The proposed algorithm is based on the minimization of the objective function that is …

[HTML][HTML] Identification of pipe inner surface in heat conduction problems by deep learning and effective thermal conductivity transform

H Chen, Z Du, X Li, H Zhou, Z Liu - Engineering Computations, 2020 - emerald.com
Purpose The purpose of this paper is to develop a transform method and a deep learning
model to identify the inner surface shape based on the measurement temperature at the …

[HTML][HTML] Defect identification in laminated composite structures by BEM from incomplete static data

G Rus, SY Lee, R Gallego - International journal of solids and structures, 2005 - Elsevier
This work examines the identification of defects in anisotropic laminated composite
structures using the boundary element method (BEM) from incomplete static response data …

A new insight into the analysis of plane elasticity with coupling of numerical manifold and boundary element methods

H Dehghanzadeh-Najmabad… - … Analysis with Boundary …, 2021 - Elsevier
In this research, a combination of the numerical manifold method (NMM) and boundary
element method (BEM) is presented for solving plane elasticity problems to benefit from the …