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作者:

Wang, Jin-Jie (Wang, Jin-Jie.) | Shang, De-Guang (Shang, De-Guang.) (学者:尚德广) | Sun, Yu-Juan (Sun, Yu-Juan.) | Li, Luo-Jin (Li, Luo-Jin.) | Li, Dao-Hang (Li, Dao-Hang.)

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EI Scopus SCIE

摘要:

Based on the Wang-Brown method, a time-dependent multiaxial cycle counting algorithm was proposed under multiaxial thermomechanical variable amplitude loading. By using the proposed multiaxial cycle counting algorithm, a new thermo-mechanical fatigue life prediction method was proposed, in which the pure fatigue damage, creep damage, and the interaction damage taking into account the interaction modulus varying with temperature were calculated for each reversal counted by the cycle counting algorithm. Three types of damage from all the counted reversals for the whole strain-time history were accumulated, and the thermo-mechanical multiaxial fatigue life can be predicted. The thermo-mechanical fatigue experimental data for thin-walled tubular specimen of superalloy GH4169 under multiaxial constant amplitude and variable amplitude loadings were used to verify the proposed method. The results demonstrated that the proposed method can provide very satisfactory prediction results.

关键词:

Life prediction Multiaxial cycle counting Variable amplitude loading Thermo-mechanical fatigue Multiaxial fatigue

作者机构:

  • [ 1 ] [Wang, Jin-Jie]Beijing Univ Technol, Coll Mech Engn & Appl Elect Technol, Beijing 100124, Peoples R China
  • [ 2 ] [Shang, De-Guang]Beijing Univ Technol, Coll Mech Engn & Appl Elect Technol, Beijing 100124, Peoples R China
  • [ 3 ] [Sun, Yu-Juan]Beijing Univ Technol, Coll Mech Engn & Appl Elect Technol, Beijing 100124, Peoples R China
  • [ 4 ] [Li, Luo-Jin]Beijing Univ Technol, Coll Mech Engn & Appl Elect Technol, Beijing 100124, Peoples R China
  • [ 5 ] [Li, Dao-Hang]Beijing Univ Technol, Coll Mech Engn & Appl Elect Technol, Beijing 100124, Peoples R China

通讯作者信息:

  • 尚德广

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

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来源 :

INTERNATIONAL JOURNAL OF FATIGUE

ISSN: 0142-1123

年份: 2019

卷: 127

页码: 382-394

6 . 0 0 0

JCR@2022

ESI学科: MATERIALS SCIENCE;

ESI高被引阀值:211

JCR分区:1

被引次数:

WoS核心集被引频次: 9

SCOPUS被引频次: 11

ESI高被引论文在榜: 0 展开所有

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