Purpose

This study aims to develop a numerical identification and characterization of crack propagation through the use of a new optimization metaheuristics called Lichtenberg optimization.

Design/methodology/approach

The damage-identification problem is treated as an inverse problem, which combines finite element methods with intelligent computational methods to obtain the best possible response. To optimize the objectives, the Lichtenberg algorithm is applied, which includes concepts of random cluster growth in nature.

Findings

The simulations show that it is possible to determine the Lichtenberg spectrum algorithm a part of the structure to be removed and replaced in this case to stop the propagation.

Originality/value

The results show a very good crack identification in plates-like structures using the Lichtenberg algorithm (LA) based only in strain fields. Although many studies have reported on damage-identification-based optimization methods, very few have focused on the crack tip modeling and LA as the main solver.

中文翻译：

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Lichtenberg优化算法在薄板状结构裂纹尖端识别中的应用

目的

这项研究的目的是通过使用一种称为Lichtenberg优化的新的优化元启发式方法，对裂纹扩展进行数值识别和表征。

设计/方法/方法

损坏识别问题被视为反问题，它将有限元方法与智能计算方法结合在一起，以获得最佳的响应。为了优化目标，应用了Lichtenberg算法，该算法包括自然中随机簇增长的概念。

发现

仿真表明，可以确定Lichtenberg频谱算法的一部分，在这种情况下，要删除并替换该结构，以停止传播。

创意/价值

结果表明，仅基于应变场，使用Lichtenberg算法（LA）可以很好地识别板状结构中的裂纹。尽管许多研究报告了基于损伤识别的优化方法，但很少有人关注裂纹尖端建模和以LA为主要求解器。