Sensitivity Analysis for Parametric Variation Analysis — Lesson 5

A Sensitivity Analysis increases the design understanding.
In this lesson, you will learn how easy it is to set up a Sensitivity Analysis since a wizard guides you through the steps. In the example the Adaptive Metamodel of Optimal Prognosis (AMOP) will be applied. Based on this approach dependencies between the Parameters and Responses can be examined and quantified.
optiSLang comes with powerful and interactive postprocessing with predefined visualizations for specific data evaluation. With this, the areas of interest for the optimization can be selected and investigated in detail.

Lecture

Alternate video link.

Video Highlights

00:09 – Start using sensitivity wizard

00:31 – Define the sampling method

00:55 – Adapt AMOP settings

01:17 – Additional solver options

01:42 – Sensitivity study postprocessing

02:01 – Quantification of parameter influence

03:21 – Interactive postprocessing

04:05 – Display signals

05:03 – Summary (audio only)