Document Type

Poster

Publication Date

Summer 2024

Abstract

Global Sensitivity Analysis (GSA) is the process of apportioning the variation in a simulator model’s output to each of its respective inputs. There are various approaches to GSA, but Sobol’s variance-based approach is perhaps the most utilized. This approach relies on centered main effect functions to quantify the magnitude of particular inputs' effects on the response's variability. However, this method heavily assumes a hyper-rectangular input space, which is not always the case, as input spaces are often constrained. This poster proposes an alternative method for GSA in the case of a constrained input space.

Share

COinS
 

Rights Statement

In Copyright - Non-Commercial Use Permitted