基于Tanaka-Mura-Wu模型的多轴疲劳寿命预测

IF 5.7 2区材料科学 Q1 ENGINEERING, MECHANICAL

International Journal of Fatigue Pub Date : 2025-03-29 DOI:10.1016/j.ijfatigue.2025.108962

Xijia Wu

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引用次数: 0

摘要

基于疲劳能量的累积特性，将Tanaka-Mura-Wu （TMW）模型扩展到单轴、扭转和比例/非比例组合载荷下的多轴疲劳寿命预测。证明了在八面体平面上将所有载荷的应变能相加时，无论一个周期内多轴变化之间的相位角如何，结果都等价于von Mises准则。本研究将扩展TMW模型应用于ti - 6al - 4v、17-4PH钢和热轧45钢作为示范实例。结果表明，TMW模型可以根据材料的剪切模量、泊松比、表面能和Burgers矢量等基本材料性能参数预测多轴疲劳寿命，而无需像Coffin-Manson方程那样进行数据回归。计算结果与实验数据吻合得很好。

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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Multiaxial fatigue life prediction using the Tanaka-Mura-Wu model

Based on the accumulative nature of fatigue energy, the Tanaka-Mura-Wu (TMW) model is extended for multiaxial fatigue life prediction under uniaxial, torsion, and proportional/non-proportional combined loadings. It is proven that when the strain energies of all loadings are added up on the octahedral plane, the result is equivalent to the von Mises criterion, irrespective of the phase angle between the multiaxial alternations within one cycle. In this study, the extended TMW model is applied to Ti-6Al-4 V, 17-4PH steel and hot-rolled 45 steel as demonstration examples. It is shown that the TMW model predicts multiaxial fatigue life, based on the basic material property parameters such as the shear modulus, Poisson’s ratio, surface energy and Burgers vector of the material, without data regression as Coffin-Manson equation would need to. The results are in very good agreement with the experimental data.

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来源期刊

International Journal of Fatigue 工程技术-材料科学：综合

CiteScore

10.70

自引率

21.70%

发文量

619

审稿时长

58 days

期刊介绍： Typical subjects discussed in International Journal of Fatigue address: Novel fatigue testing and characterization methods (new kinds of fatigue tests, critical evaluation of existing methods, in situ measurement of fatigue degradation, non-contact field measurements) Multiaxial fatigue and complex loading effects of materials and structures, exploring state-of-the-art concepts in degradation under cyclic loading Fatigue in the very high cycle regime, including failure mode transitions from surface to subsurface, effects of surface treatment, processing, and loading conditions Modeling (including degradation processes and related driving forces, multiscale/multi-resolution methods, computational hierarchical and concurrent methods for coupled component and material responses, novel methods for notch root analysis, fracture mechanics, damage mechanics, crack growth kinetics, life prediction and durability, and prediction of stochastic fatigue behavior reflecting microstructure and service conditions) Models for early stages of fatigue crack formation and growth that explicitly consider microstructure and relevant materials science aspects Understanding the influence or manufacturing and processing route on fatigue degradation, and embedding this understanding in more predictive schemes for mitigation and design against fatigue Prognosis and damage state awareness (including sensors, monitoring, methodology, interactive control, accelerated methods, data interpretation) Applications of technologies associated with fatigue and their implications for structural integrity and reliability. This includes issues related to design, operation and maintenance, i.e., life cycle engineering Smart materials and structures that can sense and mitigate fatigue degradation Fatigue of devices and structures at small scales, including effects of process route and surfaces/interfaces.