A novel method for failure probability prediction of plain weave composites considering loading randomness and dispersion of strength

被引:0
作者
Li, Bingyao [1 ]
Li, Youming [2 ]
Ge, Jingran [1 ,3 ]
Wu, Jianguo [4 ]
Wu, Zengwen [5 ]
Liang, Jun [1 ,3 ]
机构
[1] Beijing Inst Technol, Inst Adv Struct Technol, Beijing 100081, Peoples R China
[2] Beihang Univ BUAA, Inst Solid Mech, Beijing 100191, Peoples R China
[3] Beijing Inst Technol, Beijing Key Lab Lightweight Multifunct Composite M, Beijing 100081, Peoples R China
[4] Beijing Inst Struct & Environm Engn, Key Lab Reliabil & Environm Engn Technol, Beijing 100076, Peoples R China
[5] Ningbo Univ Technol, Robot Inst, Ningbo 315211, Peoples R China
基金
中国国家自然科学基金;
关键词
Plain weave composites; Vibration fatigue; Random loading; Failure probability; Life prediction; STIFFNESS DEGRADATION MODEL; THIN-WALL STRUCTURES; RESIDUAL STRENGTH; FATIGUE BEHAVIOR;
D O I
10.1016/j.engfracmech.2024.110649
中图分类号
O3 [力学];
学科分类号
08 ; 0801 ;
摘要
A new method based on combined residual stiffness-strength degradation is developed to predict the failure probability of plain weave composites subjected to random fatigue loadings. All the parameters presented in the proposed analytical model are characterized using the outcomes from quasi-static and constant amplitude fatigue testing. The evolution of residual strength is obtained based on combined residual stiffness-strength degradation model, which can greatly reduce the cost of the experiments. The Weibull distribution with two parameters is used to account for the dispersion of residual strength. Combing with randomness statistics of the fatigue loadings and the interference criterion of stress-strength, the fatigue failure behavior and failure probability are obtained. The narrow-band random vibration experiments were conducted to generate the random loadings and validate the predicted results. The approach proposed in this paper takes full advantage of residual stiffness or residual strength method and has better accuracy.
引用
收藏
页数:19
相关论文
共 34 条
  • [1] A POWER LAW FATIGUE DAMAGE MODEL FOR FIBER-REINFORCED PLASTIC LAMINATES
    ADAM, T
    DICKSON, RF
    JONES, CJ
    REITER, H
    HARRIS, B
    [J]. PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART C-JOURNAL OF MECHANICAL ENGINEERING SCIENCE, 1986, 200 (03) : 155 - 166
  • [2] Fatigue damage assessment in wide-band uniaxial random loadings by PSD decomposition: outcomes from recent research
    Benasciutti, D.
    Braccesi, C.
    Cianetti, F.
    Cristofori, A.
    Tovo, R.
    [J]. INTERNATIONAL JOURNAL OF FATIGUE, 2016, 91 : 248 - 250
  • [3] A THEORETICAL SOLUTION FOR THE ESTIMATION OF RAINFLOW RANGES FROM POWER SPECTRAL DENSITY DATA
    BISHOP, NWM
    SHERRATT, F
    [J]. FATIGUE & FRACTURE OF ENGINEERING MATERIALS & STRUCTURES, 1990, 13 (04) : 311 - 326
  • [4] Broutman LJ, 1972, Am Soc Test Mater, P170
  • [5] Comparisons of low cycle fatigue behavior of CP-Ti under stress and strain-controlled modes in transverse direction
    Chang, Le
    Zhou, Bin-Bin
    Ma, Tian-Hao
    Li, Jian
    He, Xiao-Hua
    Zhou, Chang-Yu
    [J]. MATERIALS SCIENCE AND ENGINEERING A-STRUCTURAL MATERIALS PROPERTIES MICROSTRUCTURE AND PROCESSING, 2019, 746 : 27 - 40
  • [6] An investigation on residual strength and failure probability prediction for plain weave composite under random fatigue loading
    Chen, Xiaojie
    Sun, Yi
    Wu, Zengwen
    Yao, Liaojun
    Zhang, Yuli
    Zhou, Song
    Liu, Yizhi
    [J]. INTERNATIONAL JOURNAL OF FATIGUE, 2019, 120 : 267 - 282
  • [7] CHOU PC, 1978, J COMPOS MATER, V12, P177
  • [8] Collins JA, 1993, Failure of materials in mechanical design: analysis, prediction, prevention
  • [9] A method to predict the fatigue life and the residual strength of composite materials subjected to variable amplitude (VA) loadings
    D'Amore, Alberto
    Grassia, Luigi
    [J]. COMPOSITE STRUCTURES, 2019, 228
  • [10] A new probability model of residual strength of material based on interference theory
    Gao, Jianxiong
    An, Zongwen
    [J]. INTERNATIONAL JOURNAL OF FATIGUE, 2019, 118 : 202 - 208