Sensitivity Analysis for Parametric Variation Analysis – Lesson 5

A Sensitivity Analysis increases design understanding. In this lesson you will learn how easy it is to set up a Sensitivity Analysis, since a wizard guides 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 a 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. // INTERESTED IN MORE? Visit Ansys Innovation Courses for free courses that include videos, handouts, simulation examples with starting files, homework problems, and quizzes. Visit today → https://bit.ly/3Eo8esU // DOWNLOAD FREE ANSYS SOFTWARE Ansys offers free student product downloads for homework, capstone projects, student competitions, online learning, and more! Download today → https://bit.ly/32eEcuR // QUESTIONS ABOUT THIS VIDEO OR USING ANSYS? Get help from Ansys experts and peers through the Ansys Learning Forum. Search for answers to common questions, browse discussion categories, or ask your own question. Visit today → https://bit.ly/3qsytK2 // STAY IN THE LOOP Follow our Ansys Academic LinkedIn showcase page for updates on learning resources, events, job opportunities, cutting-edge simulation content, and more! Follow today → https://bit.ly/3Bbaaow Chapters - 00:09 Start using the 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 Displaying signals 05:03 Summary (audio)