当前位置: X-MOL 学术J. Mech. Sci. Tech. › 论文详情
Our official English website, www.x-mol.net, welcomes your feedback! (Note: you will need to create a separate account there.)
Nonlinear fatigue life prediction model based on material memory
Journal of Mechanical Science and Technology ( IF 1.5 ) Pub Date : 2020-12-28 , DOI: 10.1007/s12206-020-1107-2
Xu Xu , Qiwen Xue , Yiqian He

New nonlinear fatigue damage accumulation model is established on the basis of material memory theory and fatigue driving energy damage parameters to evaluate high-cycle fatigue life under multilevel variable amplitude loading. The loading interaction factor is constructed on the basis of damage degree and then the model is modified to consider the effect of loading interaction on fatigue damage accumulation. The two proposed models are convenient for calculation and have only two parameters that can be easily identified through experiments. In accordance with the test data of aluminum alloy Al-2024-T42, titanium alloy Ti-6Al-4V, nodular cast iron GS61, Q235B welded joint, and hot-rolled 16Mn steel, the two models developed in this study have been verified to predict fatigue life effectively. For multilevel loading, the modified model achieves higher prediction accuracy and its results are closer to the actual test data compared with those of the other models.



中文翻译:

基于材料记忆的非线性疲劳寿命预测模型

基于材料记忆理论和疲劳驱动能损伤参数建立了新的非线性疲劳损伤累积模型,以评估多级变幅载荷下的高周疲劳寿命。基于损伤程度构建载荷相互作用因子,然后修改模型以考虑载荷相互作用对疲劳损伤累积的影响。提出的两个模型便于计算,并且只有两个可以通过实验轻松识别的参数。根据铝合金Al-2024-T42,钛合金Ti-6Al-4V,球墨铸铁GS61,Q235B焊接接头和热轧16Mn钢的测试数据,对本研究开发的两个模型进行了验证。有效预测疲劳寿命。对于多级加载,

更新日期:2020-12-28
down
wechat
bug