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Global Sensitivity Analysis in View of Nonlinear Structural Behavior

Global sensitivity analysis provides information about the respective significance/contribution of structural input random parameters (or combinations thereof) onto considered responses. The identification of non-relevant and relevant structural parameters for model reduction purposes is one of the major tasks. Global sensitivity analysis may also improve the understanding of the model behavior and may clarify interactions among input parameters. This paper focuses in particular on global sensitivity analysis approaches in view of nonlinearity of the underlying computational model (e. g. finite element model). Three main approaches are presented, compared and demonstrated by means of analytical and practical examples.

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