LS-DYNA Kompakt: 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).
Termine | Dauer/Tage | Kalender | Anmeldung | Trainer | Sprache(n) | Ort | Gebühr |
---|---|---|---|---|---|---|---|
04.07.2023, 09:00 - 11:00 | 2 h | Zum Kalender | Anmeldung | Charlotte Keisser | Englisch | Online | 200 € |
22.11.2023, 09:00 - 11:00 | 2 h | Zum Kalender | Anmeldung | Charlotte Keisser | Englisch | Online | 200 € |
Tutoren
Katharina Liebold

Dipl.-Math.
Spezialgebiet:
Optimierung
Studium:
Mathematik
Charlotte Keisser

Diplôme d' Ingénieur
Spezialgebiet:
Optimierung
Studium:
Informatik und Angewandte Mathematik