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

机译:焊接接头疲劳裂纹扩展寿命与多表面裂纹统计特征的关系

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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:沿焊趾随机分布的多个共线表面裂纹对焊接接头的疲劳裂纹扩展寿命有很大影响。使用基于一系列系统实验的统计方法研究了该问题,其中考虑了初始裂纹数,其位置和裂纹尺寸(即深度和长度)。初始裂纹的数量遵循正态分布,并且初始裂纹深度和长度的概率可以通过Weibull分布准确描述。这些特性用于计算疲劳裂纹扩展寿命,其中考虑了多个裂纹的相互影响和聚结的机理以及Mk因子。疲劳裂纹扩展寿命的自动计算是通过使用NESUSS实现的,其中裂纹的数量,位置和大小等参数都被视为随机变量。随机变量是通过蒙特卡洛模拟处理的,其中采样了2,000个随机数。仿真结果提供了焊接接头疲劳裂纹扩展寿命随初始裂纹数量的统计特性。仿真结果与先前论文中提到的疲劳裂纹萌生寿命的总和与实验结果非常吻合。

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