Advanced probabilistic tools for the uncertainty assessment in failure and lifetime prediction of ceramic components

被引:6
|
作者
Roudi, S [1 ]
Riesch-Oppermann, H [1 ]
Kraft, O [1 ]
机构
[1] Forschungszentrum Karlsruhe, Inst Mat Forsch 2, D-76021 Karlsruhe, Germany
关键词
alumina; reliability prediction; Bayesian analysis; thermo-mechanical loading; friction; finite element analysis;
D O I
10.1002/mawe.200500861
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
Reliability analysis of ceramic components under stationary or transient loading is generally performed on the basis of a Finite Element stress analysis from which the failure probability according to the multi-axial Weakest Link theory is calculated with the help of a suitable post-processing routine. We use the STAU post-processing routine and the general purpose Finite Element code ABAQUS. Due to scatter in the material parameters, the resulting failure probability is also prone to statistical uncertainties. We present a method of assessing this scatter using so-called resampling simulation methods. We obtain confidence intervals for the failure probability. For demonstration, the effect of pooling (i.e. grouping of results from different experiments by suitable scaling procedures) on numerical result and scatter of failure probability is shown for fracture of four-point-bending specimens. A more applied example deals with a ceramic component in a clutch test bench under thermo-mechanical frictional loading. For the assessment of the underlying data base uncertainties, Bayesian credibility intervals based on the posterior distribution are presented and provide advantages compared to a conventional maximum likelihood analysis.
引用
收藏
页码:171 / 176
页数:6
相关论文
共 50 条
  • [21] A Probabilistic Assessment for Failure Prediction of Buried Cracked Spread Foundations
    Tani, Nabil Kazi
    Nedjar, Djamel
    Tamine, Tawfik
    Hamane, Mebrouk
    ARABIAN JOURNAL FOR SCIENCE AND ENGINEERING, 2017, 42 (03) : 1161 - 1170
  • [22] Creep lifetime prediction for advanced silicon nitrides in 300 kW ceramic gas turbines
    Okada, A
    Cao, JW
    Lofaj, F
    ENVIRONMENT CONSCIOUS MATERIALS - ECOMATERIALS, 2000, : 741 - 755
  • [23] Assessment of Advanced LiDAR Based Tools for Enhanced Flood Prediction
    Barclay, Nicole
    Smith, Michael
    SOUTHEASTCON 2021, 2021, : 520 - 524
  • [24] Numerical simulation of failure prediction for ceramic tools:: comparison with forging test results
    Deschaux-Beaume, F
    Schmidt, F
    Fréty, N
    Cutard, T
    Boyer, JC
    Levaillant, C
    JOURNAL OF MATERIALS PROCESSING TECHNOLOGY, 1999, 93 : 502 - 507
  • [25] Probabilistic Assessment of Lifetime of Low-Earth-Orbit Spacecraft: Uncertainty Propagation and Sensitivity Analysis
    Dell'Elce, Lamberto
    Kerschen, Gaetan
    JOURNAL OF GUIDANCE CONTROL AND DYNAMICS, 2015, 38 (05) : 886 - 899
  • [26] Assessment, characterisation and prediction of failure in advanced materials and composites
    Bowen, P
    STRUCTURAL INTEGRITY IN THE 21ST CENTURY: THE LIFETIME OF PLANT, STRUCTURES AND COMPONENTS: EVALUATION, DESIGN, EXTENSION AND MANAGEMENT, 2000, : 215 - 225
  • [27] Subcritical crack growth life prediction for ceramic components of advanced heat engines
    Wu, DC
    Peralta, AD
    Menon, MN
    Cuccio, JC
    JOURNAL OF ENGINEERING FOR GAS TURBINES AND POWER-TRANSACTIONS OF THE ASME, 1996, 118 (02): : 240 - 245
  • [28] Probabilistic failure prediction in a double composite cantilever beam with single and double source uncertainty
    Rakesh, P.
    More, A.
    Kumar, M.
    Muthu, N.
    COMPOSITE STRUCTURES, 2022, 279
  • [29] Prediction of system reliability using failure types of components based on Weibull lifetime distribution
    Go, Hee Yang
    Sung, Si-Il
    Kim, Yong Soo
    JOURNAL OF MECHANICAL SCIENCE AND TECHNOLOGY, 2018, 32 (06) : 2463 - 2471
  • [30] Prediction of system reliability using failure types of components based on Weibull lifetime distribution
    Hee Yang Go
    Si-Il Sung
    Yong Soo Kim
    Journal of Mechanical Science and Technology, 2018, 32 : 2463 - 2471