Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
509747 | Computers & Structures | 2013 | 14 Pages |
Abstract
A widely used strategy to explore the sensitivity of the model to its inputs is based on a finite set of simulations. These are usually performed for a chosen set of points in a parameter space. An estimate of the sensitivity can be then obtained by computing correlations between the model inputs and outputs. The accuracy of the sensitivity prediction depends on a quality of the points distribution in the parameter space, so-called the design of experiments. The aim of the presented paper is to review and compare available criteria determining an optimal design of experiments for sampling-based sensitivity analysis.
Related Topics
Physical Sciences and Engineering
Computer Science
Computer Science Applications
Authors
Eliška Janouchová, Anna Kučerová,