林明, 谢里阳. 疲劳寿命预测频域方法分析与比较[J]. 失效分析与预防, 2016, 11(5): 265-269,282. DOI: 10.3969/j.issn.1673-6214.2016.05.001
    引用本文: 林明, 谢里阳. 疲劳寿命预测频域方法分析与比较[J]. 失效分析与预防, 2016, 11(5): 265-269,282. DOI: 10.3969/j.issn.1673-6214.2016.05.001
    LIN Ming, XIE Li-yang. Analysis and Comparison of Frequency-domain Approaches of Fatigue Life Prediction[J]. Failure Analysis and Prevention, 2016, 11(5): 265-269,282. DOI: 10.3969/j.issn.1673-6214.2016.05.001
    Citation: LIN Ming, XIE Li-yang. Analysis and Comparison of Frequency-domain Approaches of Fatigue Life Prediction[J]. Failure Analysis and Prevention, 2016, 11(5): 265-269,282. DOI: 10.3969/j.issn.1673-6214.2016.05.001

    疲劳寿命预测频域方法分析与比较

    Analysis and Comparison of Frequency-domain Approaches of Fatigue Life Prediction

    • 摘要: 简单介绍了窄带分布法、Wirsching-Light法、Tovo-Benasciutti法和Dirlik法4种疲劳寿命预测频域方法。通过算例分析,在时域内采用雨流循环计数法,提取出各应力循环、均值和幅值,进行疲劳损伤累积计算,并以时域计算的损伤结果为基准,研究在不同不规则因子下,4种频域方法的适用性与准确性。结果表明,随机应力过程接近窄带随机过程时,W-L法能够较为准确地预测疲劳累积损伤结果;随着不规则因子的减小,应力随机历程更加接近于宽带随机过程,T-B法和Dirlik法更能准确地估计疲劳累积损伤。

       

      Abstract: This paper provides a brief review of several frequency-domain approaches of fatigue life prediction, specifically the narrow-band approximation, Wirsching-Light, Tovo-Benasciutti and Dirlilk models. By using sample calculation, this paper adopts rain-flow cycle counting method within the time-domain to obtain the stress cycles as well as their mean value and amplitude, which can be used to evaluate the accumulated fatigue damage. Then based on the results of fatigue cumulative damage of time-domain calculation, this paper detects the applicability and accuracy of the four frequency-domain approaches under different irregular factors. The results show that when stochastic stress process gets close to narrow-band random process, W-L method can predict the fatigue cumulative damage results more accurately. And with the decrease of the irregular factors, stochastic stress process gets closer to wide-band random process, and thus T-B method and Dirlik method can estimate the fatigue cumulative damage results more accurately.

       

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