Correlation Analysis of Established Creep Failure Models through Computational Modelling for SS-304 Material

To maintain safety and reliability in power plants, creep-life prediction models have received much attention over the years. This article was designed to focus on conditions when a material structure is exposed extremely high temperatures pressures with help of finite element analysis. A direct comparison feasibility different models’ fitness suitability predicting creep damage presented this by simulating evolution uniaxial SS-304 specimen under pre-defined load, using established constitutive models. Comparative assessments minimum strain rate, deformation, stress rupture were demonstrated Norton–Bailey (NB), Kachanov–Rabotnov (KR), Theta projection (TP), sine-hyperbolic (SH) while standardizing them Omega model. The FE results dog-bone specimen, implementing models, compared actual experiment check for validation. Subsequently, sensitivity studies conducted statistical tools RSM ANOVA, an analysis how parameters operation, design, dependency came into effect. Thus, quantitative qualitative correlation analyses response these five together, resulting finalizing selection most suitable model, defined boundary conditions. 0.84 R2 value model proved model’s stainless steel 304. method can be applied select as per operating