LS-DYNA Compact: LS-OPT Robustness
In recent years, methods for stochastic analysis and assessing the robustness of FE models have been implemented in LS-OPT.
These features allow to answer questions such as:
- What is the probability of a specific failure limit being exceeded?
- Is my solution robust or does a minor alteration to my input variables lead to a completely different result?
- Is the dependence between input variables and the answer (solution) chaotic or predictable?
- How great is the correlation between variables and answers or between answers and answers?
The aim of this course is to give participants a comprehensive overview of the practical application of
stochastic methods and robustness analysis using LS-OPT.
Additionally, basic knowledge of statistics and probability and the methods implemented in LS-OPT are discussed
and a live demonstration will be given.
The webinar will take place from 9-11 a.m. (CET).
Dates | Duration/days | Calendar | Registration | Referee | Language | Location | Fee |
---|---|---|---|---|---|---|---|
12.07.2022, 09:00 - 11:00 | 2 h | Add to calendar | Registration | Katharina Liebold, Charlotte Keisser | English | 200 € | |
23.11.2022, 09:00 - 11:00 | 2 h | Add to calendar | Registration | Katharina Liebold, Charlotte Keisser | English | 200 € |
Lecturers
Katharina Liebold

Dipl.-Math.
Area of expertise:
Optimization
Academic studies:
Mathematics
Charlotte Keisser

Diplôme d’Ingénieur
Area of expertise:
Optmization
Academic studies:
Computer science and applied mathematics