COSSAN Wuhan Training
1st - 3rd December 2019
More info to be released soon
In collaboration with the Institute for Risk and Uncertainty (UK) and Institut für Risiko und Zuverlässigkeit (Germany), we are offering a 2-day training course on Uncertainty Quantification using COSSAN Software.
Structure of the training programme
Each day focuses on a specific topic. This allows the participants to attend a specific training day. The first day is dedicated to an introduction of general concepts of stochastic and probabilistic analysis as well as an introduction to OpenCOSSAN and COSSAN-X with practical exercises. The second day is dedicated to practical exercises and more advanced Monte Carlo methods such as Line Sampling, Subset Simulation, Global Sensitivity Analysis and Stochastic Optimisation using the COSSAN-X software.
Aims and Learning outcomes
You will learn the main techniques available for dealing with Risk Analysis and Uncertainty Quantification through an easy to use, yet powerful computational software.
Main Concepts and techniques
- Random Variables and Random Variables Sets
- Monte Carlo simulation and advanced simulation techniques (Subset simulation, Line Sampling, Importance Sampling, Latin Hypercube Sampling)
- Global and Local Sensitivity analysis
- Global optimization techniques
- Surrogate Models (Artificial Neural Networks, Response surface, Kriging)
- Reliability based and robust design
Details:
Date: 1st December 2019 - 3rd December 2019
Venue: TBD
Tentative Programme
Day 1
| Time | Activity Type | Description |
|---|---|---|
| 9:00 | Introduction | Welcome, aim and structure of the course. Getting started: basic useful computer commands and remote connection |
| 9:30 | Lecture | COSSAN-X and OpenCossan (Main features and capabilities, toolboxes and wizards) |
| 10:15 | Lecture | Introduction to Uncertainty Quantification and modelling of the uncertainties (random variables, stochastic processes, etc.). |
| 10:45 | Practical session | Getting started and familiarisation with the software. Define Random Variables and construct a stochastic model |
| 11:30 | Lunch break | |
| 12:30 | Lecture | Basic Monte Carlo method simulation for Uncertainty Quantification and reliability analysis |
| 13:00 | Practical session | Tutorial: Uncertainty Quantification of a simple cantilever beam model |
| 13:45 | Lecture | Advanced Monte Carlo methods (Importance sampling, Line Sampling, Subset Simulation) |
| 14:15 | Practical session | Tutorial: Uncertainty Quantification and reliability analysis using advanced methods |
| 15:30 | Wrapping up | Summary of the day |
Day 2
| Time | Activity Type | Description |
|---|---|---|
| 9:00 | Lecture | Connect COSSAN-X with 3rd party solvers (ABAQUS, NASTRAN, LS_DYNA, etc.) and high performance capabilities |
| 9:30 | Practical session | Connect COSSAN-X with your model |
| 10:15 | Lecture | Introduction to Local and Global Sensitivity Analysis |
| 10:45 | Practical session | Tutorial: Sensitivity analysis of a simple model and 3rd party models |
| 11:30 | Lunch break | |
| 12:30 | Practical session | Optimisation (Gradient based and gradient free approaches, stochastic optimisation) |
| 13:00 | Practical session | Tutorial: Optimization of a simple Cantilever Beam |
| 14:45 | Lecture | Meta-models (Response surface, Artificial Neural Networks, etc), and Robust and Reliability based optimisation |
| 14:15 | Practical session | Tutorial: Meta-models, Robust Optimization and Reliability Based Optimization |
| 15:00 | Practical session | Tutorial: Databases, visualisations and connection with High Performance Computing |
| 15:30 | Wrapping up | Summary of the day |
Day 3
| Workshop, Research, Open Conversations |