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平均应力对非高斯随机振动疲劳损伤的影响研究

李锦华 曾锦航 李芳华 崔胜超 邹秀龙

计算力学学报2026,Vol.43Issue(3):395-403,9.
计算力学学报2026,Vol.43Issue(3):395-403,9.DOI:10.7511/jslx20250417002

平均应力对非高斯随机振动疲劳损伤的影响研究

The influence of mean stress on fatigue damage assessment of non-Gaussian random vibration

李锦华 1曾锦航 1李芳华 2崔胜超 1邹秀龙1

作者信息

  • 1. 华东交通大学土木建筑学院,南昌 330013
  • 2. 南昌铁路天河建设有限公司,南昌 330026
  • 折叠

摘要

Abstract

Fatigue failure represents one of the primary failure modes in engineering structures.Although the frequency domain method can quickly estimate the fatigue damage rate,it struggles to effectively consider the influence of the mean of each stress cycle when dealing with non-Gaussian random loads.Therefore,systematically investigating the influence of mean stress on fatigue damage under non-Gaussian random vibrations is crucial.Firstly,a Gaussian random process is generated using the trigonometric series method,and non-Gaussian characteristics are introduced through a nonlinear transformation model.Secondly,the power spectral shape,bandwidth,skewness,kurtosis,global mean stress and the mean of each stress cycle are comprehensively considered.Finally,numerical simulations are conducted to investigate the influence of mean stress on non-Gaussian fatigue damage calculations under various conditions.The results show that the frequency domain method considering the global mean stress can effectively estimate fatigue damage under Gaussian and zero-skewness non-Gaussian loads.However,when subjected to non-Gaussian loads with significant skewness,the mean distribution of stress cycles is influenced by the coupled effects of skewness and kurtosis.At this point,it is necessary to use the time-domain method to consider the mean of each stress cycle.

关键词

疲劳损伤/平均应力/时域法/频域法/非高斯特性

Key words

fatigue damage/mean stress/time-domain method/frequency-domain method/non-Gaussian

分类

数理科学

引用本文复制引用

李锦华,曾锦航,李芳华,崔胜超,邹秀龙..平均应力对非高斯随机振动疲劳损伤的影响研究[J].计算力学学报,2026,43(3):395-403,9.

基金项目

国家自然科学基金(11962006) (11962006)

江西省自然科学基金(20232BAB204067)资助项目. (20232BAB204067)

计算力学学报

1007-4708

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