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http://dx.doi.org/10.3795/KSME-A.2002.26.11.2421

A Stochastic Analysis in Steam Turbine Blade Steel Using Monte Carlo Simulation  

Kim, Chul-Su (한양대학교 대학원)
Jung, Hwa-Young (LG 이노텍)
Kang, Myung-Su (한국전력공사 전력연구워)
Kim, Jung-Kyu (한양대학교 기계공학부)
Publication Information
Transactions of the Korean Society of Mechanical Engineers A / v.26, no.11, 2002 , pp. 2421-2428 More about this Journal
Abstract
In this study, the failure probability of the degraded LP turbine blade steel was performed using the Monte Carlo simulation to apply variation of applied stress and strength. For this purpose, applied stress under the service condition of steady state was obtained by theoretical stress analysis and the maximum Von-Mises stress was 219MPa. The fatigue strength under rotating-bending load was evaluated by the staircase method. Furthermore, 3-parameter Weibull distribution was found to be most appropriate among assumed distributions when the probabilistic distributions of tensile and fatigue strength were determined by the proposed analysis. The failure probability with various loading conditions was derived from the strength-stress interference model and the characteristic factor of safety was also estimated.
Keywords
Degradation; Correlation Coefficient; Coefficient of Skewness; Error-Parameter; Strength-Stress Interference Model; Weibull Distribution; Monte Carlo Simulation; Characteristic Factor of Safety;
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