The shaped charge penetration performance is sensitive to material model parameters of armor plate in virtual experiment. A Bayesian linear calibrated approach was proposed to obtain precise prediction of penetration limit. Statistical relationship between the physical process, the computer model output and experiment observations was formulated, combined with calibration experiment observations, to estimate the unknown model parameter. Analysis of an example demonstrates that the proposed approach is efficient in large calibration problem involving various uncertainties.