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 softwareMain 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
• Surrogate Models (Artificial Neural Networks, Responce surface, Kriging)
• Reliability based and robust design
Day 1: 8th April 2019
| 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 | Wrap up | A summary of the day |
Day 2: 9th April 2019
| 09:15 | Introduction | Welcome and presentation of the day |
| 09:30 | Lecture | When desktop is not enough (Cliff Addison) |
| 10:15 | Lecture | Basic Linux concepts and essential commands |
| 10:30 | Tutorial | Excercises 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 | Wrap up | A summary of the day |
Day 3: 9th April 2019
| 09:00 | Introduction | Presentation of the day |
| 09:15 | Lecture | Optimisation (Gradient based and gradient free approaches, stochastic optimisation) |
| 09:45 | 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 | Lunch | Close |