基于功率谱分割的随机振动疲劳寿命估算方法

Translated title of the contribution: Fatigue life estimation method for random vibration based on power spectral density segmentation

Research output: Contribution to journalArticlepeer-review

Abstract

In the presence of sustained random vibration loads,mechanical structures easily induce their own partial-order modes,leading to resonance and fatigue failure. Life expectancy analysis effectively prevents structural fatigue failure,exhibiting important engineering significance. Diverging from traditional approaches that establish empirical models based on probability density functions,this study focuses on the power spectral density segmentation. Combining theoretical derivation and numerical simulation,the research explores the dividing criteria for power spectral density resonance and non-resonance regions,investigates the impact of segmentation forms on damage estimation,and explores the coupling effects among multi-modal responses. The results indicate that considering only the power spectral density resonance region enhances damage estimation accuracy. The segmentation form has no effect on damage estimation. The proposed expression for multi-modal coupled damage estimation demonstrates superior applicability to random vibration fatigue compared to commonly used Dirlik and T-B methods.

Translated title of the contributionFatigue life estimation method for random vibration based on power spectral density segmentation
Original languageChinese (Traditional)
Article number230265
JournalHangkong Xuebao/Acta Aeronautica et Astronautica Sinica
Volume45
Issue number23
DOIs
StatePublished - 15 Dec 2024

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

Fingerprint

Dive into the research topics of 'Fatigue life estimation method for random vibration based on power spectral density segmentation'. Together they form a unique fingerprint.

Cite this