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The goodness of the different methods of sensitivity was evaluated from the significance of the predicted values.
Conventional methods of sensitivity analysis being inadequate, a new method based on Monte Carlo simulations was developed in the present work.
Methods of sensitivity analysis for linear systems have been developed and well documented in the literature; however there are a few such research works for nonlinear systems.
In this paper, two semi-analytical methods of sensitivity analysis, the Direct Differentiation Method and the Adjoint Variable Method, are extended to multibody systems with collisions.
Since the optimal system design has been derived on the basis of models, methods of sensitivity analysis are applied to assess the model quality and reveal potential for model improvements.
Sensitivity analysis should be performed to assess the reliability of the results but often the number of inputs of the model is so huge, and running the model is so time-consuming, that not all methods of sensitivity analysis are practically available.
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The finite element simulation of sheet metal forming process and direct differentiation method of sensitivity analysis are used.
The input multiplicity and output multiplicity were discussed with the method of sensitivity analysis for both cases.
A method of sensitivity analysis is proposed and used to investigate the performance of a transmutation system operating in the fast neutron spectrum.
In order to consider the effects of correlation between random variables, a robust method of sensitivity analysis named correlation coefficient approach is also employed.
In addition, the impact of the variables on the objective function has been assessed with the local method of sensitivity analysis.
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