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
  • [41] Probabilistic forecasting informed failure prognostics framework for improved RUL prediction under uncertainty: A transformer case study
    Aizpurua, J., I
    Stewart, B. G.
    McArthur, S. D. J.
    Penalba, M.
    Barrenetxea, M.
    Muxika, E.
    Ringwood, J., V
    RELIABILITY ENGINEERING & SYSTEM SAFETY, 2022, 226
  • [42] New Concepts for Integrity and Lifetime Assessment of Boiler and Turbine Components for Advanced Ultra-Supercritical Fossil Plants
    Feuillette, C.
    Schmidt, K.
    Maile, K.
    Klenk, A.
    Roos, E.
    ADVANCES IN MATERIALS TECHNOLOGY FOR FOSSIL POWER PLANTS: PROCEEDINGS FROM THE SIXTH INTERNATIONAL CONFERENCE, 2010, 2011, : 603 - 619
  • [43] Probabilistic Physics of Failure-based framework for fatigue life prediction of aircraft gas turbine discs under uncertainty
    Zhu, Shun-Peng
    Huang, Hong-Zhong
    Peng, Weiwen
    Wang, Hai-Kun
    Mahadevan, Sankaran
    RELIABILITY ENGINEERING & SYSTEM SAFETY, 2016, 146 : 1 - 12
  • [44] Comparison of cardiovascular disease risk assessment tools for heart failure prediction among cancer patients
    Soh, C.
    Marwick, T.
    EUROPEAN HEART JOURNAL, 2024, 45
  • [45] Numerical assessment of thick walled power plant components under creep fatigue load with advanced models for deformation and lifetime
    Oesterlin, H.
    Maier, G.
    MATERIALS AT HIGH TEMPERATURES, 2014, 31 (04) : 364 - 369
  • [46] Fatigue performance assessment and service life prediction of high-speed ship structures based on probabilistic lifetime sea loads
    Kwon, Kihyon
    Frangopol, Dan M.
    Kim, Sunyong
    STRUCTURE AND INFRASTRUCTURE ENGINEERING, 2013, 9 (02) : 102 - 115
  • [47] Acceptance criterion for probabilistic structural integrity assessment: Prediction of the failure pressure of steam generator tubing with fretting flaws
    Duan, Xinjian
    Wang, Min
    Kozluk, Michael
    NUCLEAR ENGINEERING AND DESIGN, 2015, 281 : 154 - 162
  • [48] Probabilistic Assessment of Model Uncertainty for Prediction of Pile Foundation Bearing Capacity; Static Analysis, SPT and CPT-Based Methods
    Golafzani, Sara Heidarie
    Eslami, Abolfazl
    Chenari, Reza Jamshidi
    GEOTECHNICAL AND GEOLOGICAL ENGINEERING, 2020, 38 (05) : 5023 - 5041
  • [49] Probabilistic Assessment of Model Uncertainty for Prediction of Pile Foundation Bearing Capacity; Static Analysis, SPT and CPT-Based Methods
    Sara Heidarie Golafzani
    Abolfazl Eslami
    Reza Jamshidi Chenari
    Geotechnical and Geological Engineering, 2020, 38 : 5023 - 5041
  • [50] PROBABILISTIC MINIMUM-CREEP-STRAIN-RATE AND STRESS-RUPTURE PREDICTION FOR THE LONG-TERM ASSESSMENT OF IGT COMPONENTS
    Hossain, Md Abir
    Stewart, Calvin M.
    PROCEEDINGS OF THE ASME TURBO EXPO: TURBOMACHINERY TECHNICAL CONFERENCE AND EXPOSITION, VOL 10B, 2020,