In the earlier work done by the author for the RPV material 20MnMoNi55 steel, Monte Carlo simulation Technique is shown as an effective statistical technique to calibrate Weibull Modulus "m" and Weibull Scale parameter "su" for temperatures -100°C, -110°C, -120°C, -130°C, -140°C by performing only 6 fracture toughness test instead of (30X5=150) number of tests But it lacks validation with the experimental work So in this paper ,huge numbers of fracture toughness tests (minimum 30 for each temperature) are performed experimentally at -100°C, -110°C, -130°C in the lower self of the Ductile to Brittle transition region for the RPV material 20MnMoNi55 steel. Then linear regression analysis of the experimental data's are performed to calibrate Weibull Modulus "m" and Weibull Scale parameter "su" of Beremin model ( a cleavage fracture model) for the above mentioned temperatures. The calibrate values shows a matching trend with that of experimental calibrated values and justifies the prediction capability of Monte Carlo simulation to Predict the Beremin Model parameters with the help of only 6 fracture toughness tests .Therefore reducing the burden of performing a huge number of experimental results for the effective use of the model for any material.

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