"Statistical Modeling of Creep Strength of Austenitic Stainless Steels"
The creep rupture life and rupture strength of austenitic stainless steels have been expressed as functions of chemical composition ,test conditions, stabilization ratio, andsolution treatment temperature. This statistical models includes of Gaussin, Lognormal, Gamma, Weibull ,…. This models are more general probabilistic models than nueral networks , Genetic system and classical methods for prediction and assessment of creep life. In this paper we test this models for our database and found best statistic model. The outputs of the models have been assessed against known metallurgical trends and other empirical modeling approaches. The models created are shown to capture important trends to extrapolate better than conventional techniques.