“…Quadratic response surface model can be expressed as [13] (13) where ŷ(x) is the response prediction, L is the size of input vector x and b 0 , b i , b ii , b ij are the response surface parameters to be determined using linear regression. In order to construct multi-fidelity surrogate models, all data of LF model and data of HF model at randomly selected 10 training points are used (training points number 1,4,5,6,7,10,11,13,14,18 given in Tables 3 and 4 ). After determination of low-fidelity scale factor ( ) and the discrepancy function ( (x)), multi-fidelity surrogate model is constructed as it is explained in Sect.…”