剩余疲劳寿命预测基于一个新的改进的曼森-哈尔福德模型,考虑到负载相互作用效应
Panglun Liu1,2, Jie Zhang1, Haihong Tang1
1State Key Laboratory of Precision Manufacturing for Extreme Service Performance, School of Mechanical and Electrical Engineering, Central South University, Changsha, 410083, China.
Heliyon
|September 16, 2024
概括
一种新的疲劳寿命预测模型通过考虑负载相互作用来提高准确性,与经典方法不同. 这种基于S-N曲线参数的增强模型显著减少了对300M钢等材料的预测错误.
科学领域:
- 材料科学 材料科学 材料科学
- 机械工程 机械工程
- 疲劳分析 疲劳分析
背景情况:
- 经典的疲劳累积损伤模型,如曼森-哈尔福德模型,不考虑负载相互作用效应.
- 现有的校正模型往往具有复杂的参数确定或依赖单个参数,导致不准确的寿命预测.
- 需要改进精确且易于应用的疲劳寿命预测模型.
研究的目的:
- 开发一种新的,改进的累积损伤模型.
- 通过结合负载相互作用效应来克服经典模型的局限性.
- 为了更简单的应用,建立仅基于S-N曲线参数的模型.
主要方法:
- 开发了一种新的校正方法,以动态修改经典疲劳模型.
- 改进的模型考虑了相邻负载和不同压力状态下的不同疲劳寿命之间的关系.
- 为了验证模型,对300M钢和其他材料进行了多级疲劳测试.
主要成果:
- 新改进的模型准确地预测了300M钢的剩余疲劳寿命,与经典模型相比,预测误差减少了11.75%.
- 用各种材料疲劳数据进行验证显示,改进后的模型在大多数情况下实现了最高的预测准确性.
- 与经典模型相比,改进的模型显示了3.79%的最小相对预测误差和28.73%的最大相对预测误差减少.
结论:
- 新开发的改进的疲劳寿命预测模型有效地解决了经典模型的缺陷.
- 该模型依赖S-N曲线参数简化了应用,而不会影响准确性.
- 该模型显示了在各种材料和负载条件下准确可靠地预测疲劳寿命的巨大潜力.
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