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 …
Physics-informed deep learning for computational elastodynamics without labeled data
Numerical methods such as finite element have been flourishing in the past decades for
modeling solid mechanics problems via solving governing partial differential equations …
modeling solid mechanics problems via solving governing partial differential equations …
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 …
Optimal sensor placement in structural health monitoring using discrete optimization
H Sun, O Büyüköztürk - Smart Materials and Structures, 2015 - iopscience.iop.org
The objective of optimal sensor placement (OSP) is to obtain a sensor layout that gives as
much information of the dynamic system as possible in structural health monitoring (SHM) …
much information of the dynamic system as possible in structural health monitoring (SHM) …
基于SBFEM 和机器学习的薄板结构缺陷反演.
赵林鑫， 江守燕， 杜成斌 - … Mechanics/Gongcheng Lixue, 2021 - search.ebscohost.com
将比例边界有限元法(Scaled Boundary Finite Element Method, SBFEM)
和机器学习算法相结合, 基于Lamb 波在含缺陷薄板结构中传播时结构的动力响应变化定量反演 …
和机器学习算法相结合, 基于Lamb 波在含缺陷薄板结构中传播时结构的动力响应变化定量反演 …
On-line Bayesian model updating for structural health monitoring
Fatigue induced cracks is a dangerous failure mechanism which affects mechanical
components subject to alternating load cycles. System health monitoring should be adopted …
components subject to alternating load cycles. System health monitoring should be adopted …
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 …
Modeling and harnessing sparse and low‐rank data structure: a new paradigm for structural dynamics, identification, damage detection, and health monitoring
S Nagarajaiah, Y Yang - Structural Control and Health …, 2017 - Wiley Online Library
This paper presents a new paradigm of explicitly modeling and harnessing the data
structure to address the inverse problems in structural dynamics, identification, and data …
structure to address the inverse problems in structural dynamics, identification, and data …
An efficient two-step damage identification method using sunflower optimization algorithm and mode shape curvature (MSDBI–SFO)
GF Gomes, RS Giovani - Engineering with Computers, 2022 - Springer
Laminated composite structures performance and behavior can be affected by damage that
is not always visible on the surface. The need to monitor the health of these structures has …
is not always visible on the surface. The need to monitor the health of these structures has …
A hybrid optimization algorithm with Bayesian inference for probabilistic model updating
A hybrid optimization methodology is presented for the probabilistic finite element model
updating of structural systems. The model updating process is formulated as an inverse …
updating of structural systems. The model updating process is formulated as an inverse …