DeepAI AI Chat
Log In Sign Up

How we can control the crack to propagate along the specified path feasibly?

by   Zhenxing Cheng, et al.

A controllable crack propagation (CCP) strategy is suggested. It is well known that crack always leads the failure by crossing the critical domain in engineering structure. Therefore, the CCP method is proposed to control the crack to propagate along the specified path, which is away from the critical domain. To complete this strategy, two optimization methods are engaged. Firstly, a back propagation neural network (BPNN) assisted particle swarm optimization (PSO) is suggested. In this method, to improve the efficiency of CCP, the BPNN is used to build the metamodel instead of the forward evaluation. Secondly, the popular PSO is used. Considering the optimization iteration is a time consuming process, an efficient reanalysis based extended finite element methods (X-FEM) is used to substitute the complete X-FEM solver to calculate the crack propagation path. Moreover, an adaptive subdomain partition strategy is suggested to improve the fitting accuracy between real crack and specified paths. Several typical numerical examples demonstrate that both optimization methods can carry out the CCP. The selection of them should be determined by the tradeoff between efficiency and accuracy.


page 4

page 5

page 9

page 10

page 11

page 12

page 13


Closed loop image aided optimization for cold spray process based on molecular dynamics

This study proposed a closed loop image aided optimization (CLIAO) metho...

A novel X-FEM based fast computational method for crack propagation

This study suggests a fast computational method for crack propagation, w...

A Meshless-based Local Reanalysis Method for Structural Analysis

This study presents a meshless-based local reanalysis (MLR) method. The ...

A D-vine copula-based coupling uncertainty analysis for stiffness predication of variable-stiffness composite

This study suggests a coupling uncertainty analysis method to investigat...

IRA assisted MMC-based topology optimization method

An Iterative Reanalysis Approximation (IRA) is integrated with the Movin...

Adaptive Neuro Particle Swarm Optimization applied for diagnosing disorders

A new Adaptive Neuro Particle Swarm Optimization (ANPSO) combined with a...