...
首页> 外文期刊>International Journal of Fatigue >A quantitative evaluation of ΔK_(eff) estimation methods based on random loading crack growth data
【24h】

A quantitative evaluation of ΔK_(eff) estimation methods based on random loading crack growth data

机译:基于随机载荷裂纹扩展数据的ΔK_(eff)估计方法的定量评估

获取原文
获取原文并翻译 | 示例
   

获取外文期刊封面封底 >>

       

摘要

Methods for estimation of the effective stress intensity factor range (ΔK_(eef) are evaluated for narrow and wide hand random loading crack growth test data of 2024-T352 aluminum alloy. Three methods of estimating ΔK_(eff), conventional, 2/PIO and 2/PI methods proposed by Donald and Paris, are compared in a quantitative manner by using the results of fatigue crack growth life prediction under random loading, for three methods of determining K_(op), visual measurement, ASTM offset compliance method, and the neural network method proposed by Kang and Song. The 2/PI0 and 2/PI methods of estimating ΔK_(eff) provide better results than the conventional method for narrow and wide band random loading data, for all K_(op) determination methods examined.
机译:针对2024-T352铝合金窄,宽手随机载荷裂纹扩展试验数据,评估了有效应力强度因子范围(ΔK_(eef))的估算方法;常规,2 / PIO和常规方法分别采用三种估算ΔK_(eff)的方法:通过使用随机载荷下疲劳裂纹扩展寿命预测的结果,对Donald和Paris提出的2 / PI方法进行了定量比较,这三种方法分别用于确定K_(op),视觉测量,ASTM偏移柔量法和神经网络方法,由Kang和Song提出,对于所有研究的K_(op)确定方法,估计ΔK_(eff)的2 / PI0和2 / PI方法提供了优于常规方法的窄带和宽带随机载荷数据的结果。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号