蒙特卡罗方法
不确定性传播
非线性系统
断裂力学
概率逻辑
概率密度函数
结构工程
计算机科学
数学
算法
工程类
统计
物理
量子力学
作者
Baohui Jia,Haijian Xiao,Jiachen Fang,Zezhong Shan
出处
期刊:Journal of physics
[IOP Publishing]
日期:2022-04-01
卷期号:2252 (1): 012047-012047
标识
DOI:10.1088/1742-6596/2252/1/012047
摘要
Abstract Widespread fatigue damage is one of the main damages of aging aircraft structures, and the problem of multi-site damage has always been a research hotspot in engineering analysis. The traditional probabilistic model for calculating the growth rate of multiple cracks takes into account the multiple uncertain parameters that affect each other’s cracks. However, when solving the multi-site damage (MSD) crack growth problem, the traditional random model needs to solve multiple nonlinear equations. This method becomes no longer applicable. Based on the statistical point of view, this study gives the mutual influence factors of the crack growth process in the form of distribution, and then calculates the probability density function of the crack length under different cycles by sampling with the Monte Carlo (MC) method. Finally, compared with the experimental data, the results show that the calculation results of this method are more accurate and are in good agreement with the experimental data. This method is feasible and accurate for multi-crack propagation analysis of random parameter structures.
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