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Author:

Wang, Xiao-Wei (Wang, Xiao-Wei.) | Shang, De-Guang (Shang, De-Guang.) (Scholars:尚德广) | Sun, Yu-Juan (Sun, Yu-Juan.) | Liu, Xiao-Dong (Liu, Xiao-Dong.)

Indexed by:

EI Scopus SCIE

Abstract:

Based on the critical plane determined by the weight function method, two algorithms for multiaxial cycle counting method are proposed by modifying the rainflow and range cycle counting methods. The proposed two algorithms can be applied to multiaxial random loading, and be suitable to any critical plane-based fatigue life prediction models, since the counted cycles or reversals are represented by the start time and end time. The proposed two algorithms are used to predict multiaxial fatigue life by the experimental data of 7075-T651 aluminum alloy, En15R steel and 7050-T7451 aluminum alloy conducted under multiaxial random loading in both high-cycle and low-cycle fatigue region. The life prediction results are in good agreement with the experimental data.

Keyword:

weight function method cycle counting method high-cycle fatigue Multiaxial fatigue random loading

Author Community:

  • [ 1 ] [Wang, Xiao-Wei]Technol Beijing Univ Technol, Coll Mech Engn & Appl Elect, Beijing 100124, Peoples R China
  • [ 2 ] [Shang, De-Guang]Technol Beijing Univ Technol, Coll Mech Engn & Appl Elect, Beijing 100124, Peoples R China
  • [ 3 ] [Sun, Yu-Juan]Technol Beijing Univ Technol, Coll Mech Engn & Appl Elect, Beijing 100124, Peoples R China
  • [ 4 ] [Liu, Xiao-Dong]Technol Beijing Univ Technol, Coll Mech Engn & Appl Elect, Beijing 100124, Peoples R China

Reprint Author's Address:

  • 尚德广

    [Shang, De-Guang]Technol Beijing Univ Technol, Coll Mech Engn & Appl Elect, Beijing 100124, Peoples R China

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Source :

INTERNATIONAL JOURNAL OF DAMAGE MECHANICS

ISSN: 1056-7895

Year: 2019

Issue: 9

Volume: 28

Page: 1367-1392

4 . 2 0 0

JCR@2022

ESI Discipline: ENGINEERING;

ESI HC Threshold:136

JCR Journal Grade:1

Cited Count:

WoS CC Cited Count: 14

SCOPUS Cited Count: 12

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 9

Online/Total:345/10703486
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