Uncertainty Quantification and Management using COSSAN Software
8th - 10th April 2019
University of Liverpool
In collaboration with the Institute for Risk and Uncertainty (UK) and Institut für Risiko und Zuverlässigkeit (Germany), we are offering a 3-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.
Poster
Download hereAims 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: | 8th - 10th April 2019 |
|---|---|
| Venue: | Room 502-PCTC-C 502 Teaching Hub (next to the Guild of Students). University of Liverpool, U.K. |
| Time: | Monday 1000 -1600 Tuesday 0900 - 1600 Wednesday 0900 - 1300 |
| Fee: | Industrial Attendee: £250 Academic Attendee: £125 Student/PhD: £95 |
Programme
Day 1: 8th April 2019
| Time | Activity Type | Description |
|---|---|---|
| 10:00 | Introduction | Welcome, aim and structure of the course. Getting started: basic useful computer commands and remote connection |
| 10:30 | Lecture | COSSAN-X and OpenCossan (Main features and capabilities, toolboxes and wizards) |
| 11:15 | Practical Session | Installation, getting started and familiarisation with the software.
Construct a model and run a deterministic analysis. |
| 12:00 | Lecture | Introduction to Uncertainty Quantification and modelling of the uncertainties (random variables, stochastic processes, etc.) |
| 12:30 | Lunch break | |
| 13:30 | Lecture | Basic Monte Carlo method simulation for Uncertainty Quantification and Reliability Analysis |
| 13:45 | Practical Session | Basic Tutorial: Uncertainty Quantification of a simple cantilever beam model |
| 14:30 | Lecture | Advanced Monte Carlo methods (Importance sampling, Line Sampling, Subset Simulation) for UQ and Reliability Analysis |
| 15:00 | Practical Session | Basic Tutorial: Uncertainty Quantification and Reliability Analysis using advanced methods |
| 15:45 | Wrapping Up | Summary of the day |
Day 2: 9th April 2019
| Time | Activity Type | Description |
|---|---|---|
| 9:15 | Introduction | Welcome and presentation of the day |
| 9:30 | Lecture | When desktop is not enough (Cliff Addison) |
| 10:15 | Lecture | Basic Linux concepts and essential commands |
| 10:30 | Tutorial | Exercises on High Performance Computing |
| 12:30 | Lunch Break | |
| 13:30 | Lecture | Connect COSSAN-X with 3rd party solvers (ABAQUS, NASTRAN, LS_DYNA, etc.) and high-performance capabilities |
| 14:00 | Practical session | Connect COSSAN-X with your model |
| 14:45 | Lecture | Introduction to Local and Global Sensitivity Analysis |
| 15:30 | Practical session | Tutorial: Sensitivity Analysis of simple model and of external model |
| 15:50 | Wrapping Up | Summary of the day |
Day 3: 10th April 2019
| Time | Activity Type | Description |
|---|---|---|
| 9:00 | Introduction | Presentation of the day |
| 9:15 | Lecture | Optimisation (Gradient based and gradient free approaches, stochastic optimisation) |
| 9:45 | Tutorial | Basic Tutorial: Optimization of a simple Cantilever Beam |
| 10:30 | Lecture | Meta-models (Response surface, Artificial Neural Networks, etc), and Robust and Reliability based optimisation |
| 11:00 | Tutorial | Tutorial: Meta-models, Robust Optimization and Reliability Based Optimization |
| 11:45 | Demo | Demonstration of latest COSSAN development |
| 12:15 | Discussion | User-Developer Interaction |
| 13:00 | Close | Lunch |