Multi-level Uncertain Fatigue Analysis of a Truss under Incomplete Available Information

Raphael Basilio Pires Nonato
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引用次数: 1

Abstract

We predict the fatigue life of a planar tubular truss when geometrical parameters, material properties, and live loads are non-deterministic. A multi-level calculation uncertainty quantification framework code was designed to aggregate the finite element method and fatigue-induced sequential failures. Due to the incompleteness of the aleatory-type inputs, the maximum entropy principle was applied. Two sensitivity analyses were performed to report the most influencing factors. In terms of variance, the results suggest that the slope of the curve crack growth rate × stress intensity factor range is the most influencing factor related to fatigue life. Furthermore, due to the application of the entropy concept, the fatigue crack growth boundaries and fatigue crack size boundaries obtained provide the most unbiased fatigue crack design mapping. These boundaries allow the designer to select the worst-case fatigue scenario, besides being able to predict the crack behavior at a required confidence level.
不完全可用信息下桁架多级不确定疲劳分析
在几何参数、材料性能和活载不确定的情况下,对平面管状桁架的疲劳寿命进行了预测。设计了一种多级计算不确定性量化框架代码,将有限元法与疲劳序列失效相结合。由于任意输入的不完全性,采用了最大熵原理。两项敏感性分析报告了最重要的影响因素。从方差上看,裂纹扩展率曲线斜率×应力强度因子范围是影响疲劳寿命的最大因素。此外,由于熵概念的应用,得到的疲劳裂纹扩展边界和疲劳裂纹尺寸边界提供了最无偏的疲劳裂纹设计图。这些边界允许设计师选择最坏的疲劳情况,除了能够在所需的置信度水平上预测裂纹行为。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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