Fatigue crack growth prediction in nuclear piping using Markov chain Monte Carlo simulation
暂无分享,去创建一个
K. K. Vaze | Rohit Rastogi | Siddhartha Ghosh | A. K. Ghosh | Pawan K. Singh | A. Ghosh | Siddhartha Ghosh | P. Singh | R. Rastogi
[1] D. Rubin,et al. Inference from Iterative Simulation Using Multiple Sequences , 1992 .
[2] Tony L. Schmitz,et al. Prediction of remaining useful life for fatigue-damaged structures using Bayesian inference , 2012 .
[3] Boris A. Zárate,et al. Bayesian model updating and prognosis of fatigue crack growth , 2012 .
[4] Philippe Mainçon. A first order reliability method for series systems , 2000 .
[5] William G. Byers,et al. FATIGUE RELIABILITY REASSESSMENT PROCEDURES: STATE-OF-THE-ART PAPER , 1997 .
[6] Bruno Sudret,et al. Bayesian updating of mechanical models - Application in fracture mechanics , 2007 .
[7] Kaisa Simola,et al. Application of stochastic filtering for lifetime prediction , 2006, Reliab. Eng. Syst. Saf..
[8] Wole Soboyejo,et al. Probabilistic Modeling of Fatigue Crack Growth in Ti-6Al-4V , 2000, Materials: Book of Abstracts.
[9] Adrian E. Raftery,et al. [Practical Markov Chain Monte Carlo]: Comment: One Long Run with Diagnostics: Implementation Strategies for Markov Chain Monte Carlo , 1992 .
[10] Andrew Gelman,et al. General methods for monitoring convergence of iterative simulations , 1998 .
[11] Nam H. Kim,et al. Fatigue life prediction based on Bayesian approach to incorporate field data into probability model , 2011 .
[12] P. Goel,et al. The Statistical Nature of Fatigue Crack Propagation , 1979 .
[13] Achintya Haldar,et al. Bridge fatigue damage evaluation and updating using non-destructive inspections , 1996 .
[14] Enrico Zio,et al. Monte Carlo-based filtering for fatigue crack growth estimation , 2009 .
[15] Zbigniew Kotulski,et al. On efficiency of identification of a stochastic crack propagation model based on Virkler experimental data , 1998 .
[16] Sankaran Mahadevan,et al. Model uncertainty and Bayesian updating in reliability-based inspection , 2000 .
[17] Bradley P. Carlin,et al. Markov Chain Monte Carlo conver-gence diagnostics: a comparative review , 1996 .
[18] Masoud Rabiei,et al. Probabilistic Structural Health Monitoring Using Acoustic Emission , 2009 .
[19] Raphael T. Haftka,et al. Uncertainty Reduction of Damage Growth Properties Using Structural Health Monitoring , 2010 .
[20] H. S. Kushwaha,et al. Fatigue studies on carbon steel piping materials and components: Indian PHWRs , 2008 .
[21] Guy Baylac,et al. The French code RCC-M: Design and construction rules for the mechanical components of PWR nuclear islands , 1991 .
[22] Xuefei Guan,et al. Comparison of Two Probabilistic Fatigue Damage Assessment Approaches Using Prognostic Performance Metrics , 2011, International Journal of Prognostics and Health Management.
[23] Andrew Makeev,et al. Simultaneous uncertainty quantification of fracture mechanics based life prediction model parameters , 2007 .
[24] Bruce R. Ellingwood,et al. Role of non-destructive evaluation in time-dependent reliability analysis , 1998 .
[25] Santanu Das,et al. Bayesian Statistic Based Multivariate Gaussian Process Approach for Offline/Online Fatigue Crack Growth Prediction , 2011 .