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Fatigue Crack Propagation Life of Welded Joints Related to the Statistical Characteristics of Multiple Surface Cracks

机译:焊接关节疲劳裂纹传播寿命与多个表面裂缝的统计特征有关

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Multiple collinear surface cracks distributed that are randomly along a weld toe have a strong influence on the fatigue crack propagation life of welded joints. This issue is investigated using statistical approaches based on series of systematic experiments, in which initial crack numbers, their locations and crack sizes, i.e. depth and length, are taken into account. The number of initial cracks follow a normal distribution, and the probability of initial crack depths and lengths can be accurately described by the Weibull distribution. These characteristics are used to calculate the fatigue crack propagation life, in which the mechanisms of the mutual interaction and the coalescence of multiple cracks are considered as well as the Mk-factors. The automatic calculation of fatigue crack propagation life is achieved by the application of NESUSS, where parameters such as the number, location and size of cracks are all treated as random variables. The random variables are dealt through a Monte-Carlo simulation with sampling random numbers of 2,000. The results of the simulation provide the statistical characteristics of the fatigue crack propagation life for welded joints as a function of the number of initial cracks. The sum of the simulation results and the fatigue crack initiation life referred from a previous paper is in good agreement with the experimental results.
机译:沿着焊接脚趾随机分布的多个共线表面裂缝对焊接接头的疲劳裂纹传播寿命具有很大的影响。使用基于一系列系统实验的统计方法研究了该问题,其中初始裂缝数,它们的位置和裂缝尺寸,即深度和长度。初始裂缝的数量遵循正态分布,并且可以通过Weibull分布准确地描述初始裂缝深度和长度的概率。这些特性用于计算疲劳裂纹繁殖寿命,其中相互相互作用的机制和多个​​裂缝的聚结被认为是MK因子。通过应用Nesss实现疲劳裂纹繁殖寿命的自动计算,其中诸如裂缝的数量,位置和大小的参数均被视为随机变量。随机变量通过Monte-Carlo仿真进行处理,采样随机数为2,000。模拟结果提供焊接接头的疲劳裂纹传播寿命的统计特征,作为初始裂缝的数量的函数。模拟结果的总和和前一篇论文提到的疲劳裂纹启动寿命与实验结果很好。

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