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Fatigue damage and life evaluation of SS304 and Al 7050-T7541 alloys under various multiaxial strain paths by means of energy-based Fatigue damage models

机译:基于能量的疲劳损伤模型对SS304和Al 7050-T7541合金在各种多轴应变路径下的疲劳损伤和寿命评估

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Three energy-based models of Macha, Ellyin and Varvani, respectively, are employed to evaluate fatigue life of SS304 and Al 7050-T7451 alloys undergoing variable multiaxial loading spectra. The Macha damage approach assesses the lives based on the equivalent strain energy densities over counted reversals on the critical plane. The Ellyin model evaluates fatigue life data based on the total strain energy density per cycle, consisting of two parts (elastic and plastic strain energies). These energies are quantified from areas within the axial and shear stress-strain hysteresis loops. The Varvani damage approach assesses fatigue lives through summation of the normal and shear energy ranges calculated on the critical plane where the largest stress and strain Mohr's circles over the counted reversals are determined. The reversals over variable multiaxial loading spectra are counted based on the Wang-Brown multiaxial cycle counting method. Damage values are calculated over reversals and then accumulated over a block loading spectrum. The total damage over block histories is then related to fatigue life N-f in the right-hand side of the damage model equations proposed by Macha, Ellyin, and Varvani, respectively. The choice of damage assessment models and how to determine the fatigue life of structural components under variable loading spectra are discussed. (C) 2016 Elsevier Ltd. All rights reserved.
机译:分别使用Macha,Ellyin和Varvani的三种基于能量的模型来评估SS304和Al 7050-T7451合金经受可变多轴载荷谱的疲劳寿命。 Macha损伤方法根据等效应力能量密度对临界平面上已计算的反转数评估寿命。 Ellyin模型基于每个循环的总应变能密度(包括两个部分(弹性应变能和塑性应变能))评估疲劳寿命数据。这些能量是从轴向和剪切应力-应变磁滞回线内的区域量化的。 Varvani损伤方法通过在临界平面上计算出的法向和剪切能范围的总和来评估疲劳寿命,在临界平面上确定了所计算的反转次数中最大的应力和应变莫尔圆。基于Wang-Brown多轴循环计数方法,对可变多轴载荷谱的反转进行计数。通过逆转计算损伤值,然后在大块载荷范围内累积损伤值。然后,在块历史上的总损伤与Macha,Ellyin和Varvani分别提出的损伤模型方程右侧的疲劳寿命N-f有关。讨论了损伤评估模型的选择以及如何确定可变载荷谱下结构部件的疲劳寿命。 (C)2016 Elsevier Ltd.保留所有权利。

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