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.

Dates
Dates Duration/days Registration Referee Language Location Fee
23.06.2020
2 h
Charlotte Keisser
Katharina Witowski
200 €

Lecturers

Charlotte Keisser
Charlotte Keisser

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

Katharina Witowski
Katharina Witowski

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

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