An amplitude probability density function model under broadband multimodal stochastic vibration fatigue response

IF 3 3区 工程技术 Q2 ENGINEERING, MECHANICAL Probabilistic Engineering Mechanics Pub Date : 2024-06-05 DOI:10.1016/j.probengmech.2024.103640
Yuhao Zhu , Piao Li , Yitao Wu , Dingkun Fu , Yang Pan
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Abstract

In this paper, a fatigue life prediction model based on the amplitude probability density function under broadband multimodal stochastic vibration response is presented. An analysis method is proposed to address the dispersion of the third- and fourth-order normalized moments of rain-flow amplitude distributions. The unified relationships between the first four-order normalized moments of rain-flow amplitude distributions and the spectral parameters are established to determine the model parameters. Through comparison with other frequency-domain methods and based on the tail probability density distribution of rain-flow amplitude, the proposed model offers more precise and stable fitting results under broadband multimodal response power spectra.

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宽带多模态随机振动疲劳响应下的振幅概率密度函数模型
本文提出了一种基于宽带多模态随机振动响应下振幅概率密度函数的疲劳寿命预测模型。针对雨流振幅分布的三阶和四阶归一化矩的离散性,提出了一种分析方法。建立了雨流振幅分布的前四阶归一化矩与频谱参数之间的统一关系,从而确定了模型参数。通过与其他频域方法的比较,基于雨流振幅的尾部概率密度分布,提出的模型在宽带多模态响应功率谱下具有更精确、更稳定的拟合结果。
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来源期刊
Probabilistic Engineering Mechanics
Probabilistic Engineering Mechanics 工程技术-工程:机械
CiteScore
3.80
自引率
15.40%
发文量
98
审稿时长
13.5 months
期刊介绍: This journal provides a forum for scholarly work dealing primarily with probabilistic and statistical approaches to contemporary solid/structural and fluid mechanics problems encountered in diverse technical disciplines such as aerospace, civil, marine, mechanical, and nuclear engineering. The journal aims to maintain a healthy balance between general solution techniques and problem-specific results, encouraging a fruitful exchange of ideas among disparate engineering specialities.
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