Sampling methods for solving Bayesian model updating problems: A tutorial
This tutorial paper reviews the use of advanced Monte Carlo sampling methods in the
context of Bayesian model updating for engineering applications. Markov Chain Monte …
context of Bayesian model updating for engineering applications. Markov Chain Monte …
Analyses of internal structures and defects in materials using physics-informed neural networks
Characterizing internal structures and defects in materials is a challenging task, often
requiring solutions to inverse problems with unknown topology, geometry, material …
requiring solutions to inverse problems with unknown topology, geometry, material …
Improved ANN technique combined with Jaya algorithm for crack identification in plates using XIGA and experimental analysis
This paper presents an effective method for crack identification to improve the training of
Artificial Neural Networks (ANN) parameters using Jaya algorithm. Dynamic and static …
Artificial Neural Networks (ANN) parameters using Jaya algorithm. Dynamic and static …
Fast simulations for solving fracture mechanics inverse problems using POD-RBF XIGA and Jaya algorithm
An inverse algorithm based on Proper Orthogonal Decomposition (POD) and Radial Basis
Functions (RBF) for single and multiple cracks identification in plate structures is presented …
Functions (RBF) for single and multiple cracks identification in plate structures is presented …
Detection of material interfaces using a regularized level set method in piezoelectric structures
An algorithm to solve the inverse problem of detecting inclusion interfaces in a piezoelectric
structure is proposed. The material interfaces are implicitly represented by level sets which …
structure is proposed. The material interfaces are implicitly represented by level sets which …
A NURBS-based inverse analysis for reconstruction of nonlinear deformations of thin shell structures
This article presents original work combining a NURBS-based inverse analysis with both
kinematic and constitutive nonlinearities to recover the applied loads and deformations of …
kinematic and constitutive nonlinearities to recover the applied loads and deformations of …
[HTML][HTML] Deep neural network-based structural health monitoring technique for real-time crack detection and localization using strain gauge sensors
Structural health monitoring (SHM) techniques often require a large number of sensors to
evaluate and monitor the structural health. In this paper, we propose a deep neural network …
evaluate and monitor the structural health. In this paper, we propose a deep neural network …
A computational approach for crack identification in plate structures using XFEM, XIGA, PSO and Jaya algorithm
In this paper, a creative and intelligent approach based on an inverse problem that
accurately predicts crack location in plate structures is presented. The eXtended Finite …
accurately predicts crack location in plate structures is presented. The eXtended Finite …
A damage identification technique for beam-like and truss structures based on FRF and Bat Algorithm
In this paper, a Structural Health Monitoring (SHM) technique for damage identification in
beam-like and truss structures using Frequency Response Function (FRF) data coupled with …
beam-like and truss structures using Frequency Response Function (FRF) data coupled with …
Metamodeling of dynamic nonlinear structural systems through polynomial chaos NARX models
MD Spiridonakos, EN Chatzi - Computers & Structures, 2015 - Elsevier
This paper introduces a metamodeling strategy able to account for the uncertainties in
simulating nonlinear, dynamically evolving engineering systems. Polynomial Chaos (PC) …
simulating nonlinear, dynamically evolving engineering systems. Polynomial Chaos (PC) …