LS-OPT - Robustness

Course description

This seminar gives an introduction to the robustness part of the software LS-OPT, which is available to all LS-DYNA users for free. Theory for robustness studies and robust parameter design is covered, as well as some application examples. A significant time of the seminar is spent on hands on training with the software and how to use it together with LS-DYNA. LS-OPT is designed to be used with essentially any analysis software.

Who is it for

Engineers that would like to learn how to do stochastic analysis such as robustness analysis and robust parameter design using LS-OPT and LS-DYNA. LS-DYNA will be used as the analysis solver and therefore attendees need to have at least a basic knowledge of LS-DYNA and LS-PrePost

Contents

Within the last few years, methods for stochastic analysis and robustness evaluation of FE models have been implemented in LS-OPT. For example, this may provide answers to the following questions:

  • What is the probability that a specific failure limit will be exceeded?
  • Is the solution robust or will a small change in the input variables render entirely different results?
  • What is the relationship between input variable and response (solution) like – random or predictable?
  • What is the correlation between variables and responses or among responses?

The objective of this seminar is to give the participants a comprehensive overview of the practical application of stochastic methods and of robustness analyses with LS-OPT. Moreover, participants will acquire a basic knowledge of statistics and probabilistics, and the methods used in LS-OPT will be discussed.

Outline

  • Introduction, Terminology
  • Definition dependent variables
  • Selection of analysis values
  • Statistical distributions: Normal (Gauß), Weibull, Uniform, Lognormal, User defined
  • Stochastic methodologies:  Monte Carlo analysis, Monte Carlo analysis using Meta-Models
    • Confidence intervals
    • Ant-Hill Plots
    • Separation of deterministic and chaotic responses
    • Variance and correlation plots
    • Post-Processing in LS-OPT and result interpretation
    • Examples

 

Prior attendance of the "Optimization with LS-OPT" course is recommended.

Dates
Dates Duration/days Registration Referee Language Location Fee
14.05.2020
1 day
Dr. D. Aspenberg
WebEx
4000 SEK
10.09.2020
1 day Registration
Dr. D. Aspenberg
Linköping
4000 SEK

Lecturers

Dr. D. Aspenberg
Dr. D. Aspenberg
Registration and Information

General information

 

Contact
contact Mikael Schill
  • LS-DYNA
  • Material modeling
  • Forming Technology
contact Elizabeth Mäki Björklund
  • Sales Coordinator
  • Seminar Organization
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