Table 6 Results of fuzzy random inversion of parameters for each creep model.
Creep damage model | Load factor | Parameter inversion result | Coefficient of determination | Number of parameters | ||||
|---|---|---|---|---|---|---|---|---|
\(p_{1}\) | \(p_{2}\) | \(q_{0}\) | \(q_{1}\) | \(q_{2}\) | ||||
Kelvin | 0.3 | – | – | 0.29 | 0.59 | – | 0.967 | 2 |
0.5 | – | – | 0.51 | 0.33 | – | 0.934 | ||
0.7 | – | – | 0.74 | 0.28 | – | 0.881 | ||
Generalised Kelvin | 0.3 | 0.57 | – | 0.32 | 0.62 | – | 0.978 | 3 |
0.5 | 0.69 | – | 0.71 | 0.44 | – | 0.964 | ||
0.7 | 0.81 | – | 0.93 | 0.37 | – | 0.982 | ||
Jeffreys | 0.3 | 0.92 | – | – | 0.66 | 0.76 | 0.894 | 3 |
0.5 | 1.31 | – | – | 1.48 | 0.98 | 0.970 | ||
0.7 | 1.74 | – | – | 1.69 | 1.53 | 0.937 | ||
Burgers | 0.3 | 0.52 | 1.26 | – | 0.43 | 1.13 | 0.921 | 4 |
0.5 | 0.84 | 1.74 | – | 0.57 | 1.52 | 0.972 | ||
0.7 | 1.03 | 2.37 | – | 1.91 | 2.86 | 0.986 | ||
Nishihara | 0.3 | 0.98 | – | 0.76 | 0.35 | – | 0.942 | 3 |
0.5 | 0.51 | – | 0.41 | 0.23 | – | 0.957 | ||
0.7 | 0.72 | 1.43 | – | 0.54 | 1.38 | 0.995 | 4 | |
Murayama Shuo Lang | 0.3 | 0.78 | 0.92 | – | 0.63 | 1.47 | 0.939 | 4 |
0.5 | 1.19 | 1.55 | – | 1.32 | 1.15 | 0.948 | ||
0.7 | 2.64 | 1.80 | – | 2.09 | 3.83 | 0.929 | ||
