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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 addition, the impact of the variables on the objective function has been assessed with the local method of sensitivity analysis.
In order to consider the effects of correlation between random variables, a robust method of sensitivity analysis named correlation coefficient approach is also employed.
With the method of sensitivity analysis and connection weights, input variables were ranked according to contributions/importance, and the top 10 variables show great proportion of contribution to predict hip fracture.
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In the literature, previous non-probabilistic methods of sensitivity analysis are developed [16, 17].
Conventional methods of sensitivity analysis being inadequate, a new method based on Monte Carlo simulations was developed in the present work.
The goodness of the different methods of sensitivity was evaluated from the significance of the predicted values.
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.
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.
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