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

机译：如何控制裂纹沿指定路径合理传播？

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摘要

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. (c) 2018 Elsevier B.V. All rights reserved.
机译：提出了一种可控的裂纹扩展（CCP）策略。众所周知，裂纹总是通过跨越工程结构中的关键领域而导致失败。因此，提出了一种CCP方法来控制裂纹沿着指定路径传播，该路径远离临界域。为了完成该策略，采用了两种优化方法。首先，提出了一种反向传播神经网络（BPNN）辅助的粒子群优化算法（PSO）。在这种方法中，为了提高CCP的效率，使用BPNN代替了前向评估来构建元模型。其次，使用流行的PSO。考虑到优化迭代是一个耗时的过程，因此基于有效的重新分析的扩展有限元方法（X-FEM）可以代替完整的X-FEM求解器来计算裂纹扩展路径。此外，提出了一种自适应子域划分策略，以提高实际裂缝与指定路径之间的拟合精度。几个典型的数值示例表明，两种优化方法都可以执行CCP。它们的选择应由效率和精度之间的权衡决定。 （c）2018 Elsevier B.V.保留所有权利。

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