@article{scholars14417,
             doi = {10.3390/ma14195518},
          number = {19},
            note = {cited By 3},
          volume = {14},
           title = {Curve fitting for damage evolution through regression analysis for the kachanov{\^a}??rabotnov model to the norton{\^a}??bailey creep law of ss-316 material},
            year = {2021},
         journal = {Materials},
       publisher = {MDPI},
          author = {Sattar, M. and Othman, A. R. and Akhtar, M. and Kamaruddin, S. and Khan, R. and Masood, F. and Alam, M. A. and Azeem, M. and Mohsin, S.},
            issn = {19961944},
        abstract = {In a number of circumstances, the Kachanov{\^a}??Rabotnov isotropic creep damage constitutive model has been utilized to assess the creep deformation of high-temperature components. Secondary creep behavior is usually studied using analytical methods, whereas tertiary creep damage constants are determined by the combination of experiments and numerical optimization. To obtain the tertiary creep damage constants, these methods necessitate extensive computational effort and time to determine the tertiary creep damage constants. In this study, a curve-fitting technique was proposed for applying the Kachanov{\^a}??Rabotnov model into the built-in Norton{\^a}??Bailey model in Abaqus. It extrapolates the creep behaviour by fitting the Kachanov{\^a}??Rabotnov model to the limited creep data obtained from the Omega-Norton{\^a}??Bailey regression model and then simulates beyond the available data points. Through the Omega creep model, several creep strain rates for SS-316 were calculated using API-579/ASME FFS-1 standards. These are dependent on the type of the material, the flow stress, and the temperature. In the present work, FEA creep assessment was carried out on the SS-316 dog bone specimen, which was used as a material coupon to forecast time-de-pendent permanent plastic deformation as well as creep behavior at elevated temperatures and under uniform stress. The model was validated with the help of published experimental creep test data, and data optimization for sensitivity study was conducted by applying response surface methodology (RSM) and ANOVA techniques. The results showed that the specimen underwent secondary creep deformation for most of the analysis period. Hence, the method is useful in predicting the complete creep behavior of the material and in generating a creep curve. {\^A}{\copyright} 2021 by the authors. Licensee MDPI, Basel, Switzerland.},
             url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85115725878&doi=10.3390\%2fma14195518&partnerID=40&md5=52510ebb152abb22b3c6949798761699},
        keywords = {Curve fitting; Numerical methods; Optimization; Regression analysis; Strain rate, Creep behaviors; Creep damages; Creep deformations; Creep-rupture; Curves fittings; Damage evolution; Kachanov-rabotnov; Kachanov{\^a}??rabotnov model; Secondary creep; Tertiary creep, Creep}
}