Application of Probabilistic Fracture Mechanics Technique Using Monte Carlo Simulation
Application of Probabilistic Fracture Mechanics Technique Using Monte Carlo Simulation
复制标题
概率断裂力学技术在蒙特卡罗模拟中的应用
DOI：
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发表时间：
2001
影响因子：
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通讯作者：
Young
中科院分区：
文献类型：
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作者：
Joon;Sanglog Kwak;Young
对于主要结构部件，需要定期检查和完整性评估以确保安全。但是，由于在役检查中进行抽样检查，许多缺陷是无法检测的。概率完整性评估被应用于考虑由于材料特性和不可检测的裂纹而引起的输入参数的不确定性和方差。本文介绍了一种基于蒙特卡罗（MC）算法的概率断裂力学（PFM）分析。以断裂韧度值、裂纹深度和初始表面裂纹纵横比等概率变量的抽样数据为样本，进行了试样失效判断的MC模拟。为了验证这一分析，使用商业代码，数学方法进行了PFM分析的比较研究，并观察到这些结果之间的良好一致性。
For major structural components periodic inspections and integrity assessments are needed for the safety. However, many flaws are undetectable because sampling inspection is carried out during in-service inspection. Probabilistic integrity assessment is applied to take into consideration of uncertainty and variance of input parameters arise due to material properties and undetectable cracks. This paper describes a Probabilistic Fracture Mechanics(PFM) analysis based on the Monte Carlo(MC) algorithms. Taking a number of sampling data of probabilistic variables such as fracture toughness value, crack depth and aspect ratio of an initial surface crack, a MC simulation of failure judgement of samples is performed. for the verification of this analysis, a comparison study of the PFM analysis using a commercial code, mathematical method is carried out and a good agreement was observed between those results.