4th - 6th May 2016

Hartree Centre STFC Laboratory Sci-Tech Daresbury, Warrington UK

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.

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:

Location: STFC, Hartree Centre, Sci-Tech Daresbury, Keckwick Lane, Warrington, Warrington WA4 4DA, United Kingdom.
Free transportation from and to the Institute for Risk and Uncertainty will be provided.
Registration: Registration is now closed

Fees: Students £90; Academics £120; Industrial attendee £250
Includes: Lunch and Tea/Coffee Breaks for 3 days and transportation from and to Liverpool

Programme

Day 1 - 4th May 2016

Time Activity Type Description
10:00 Intruduction Welcome, aim and structure of the course. Getting started: basic linux commands and remote connection
10:30 Lecture Introduction to Uncertainty Quantification and modelling of the uncertainties (random variables, random variable sets, stochastic processes and Gaussian mixture distributions)
11:00 Lecture UQ tools and Monte Carlo simulation and advanced Monte Carlo methods (Importance sampling, Line Sampling, Subset Simulation) for UQ and reliability analysis.
11:30 Lecture Meta-models (Response surface, Artificial Neural Networks, Polyharmonic lines), Optimisation (Gradient based methods and stochastic optimisations) and Robust/Reliability Design optimisation
12:00 Visit Demonstration at Virtual Engineering of Engineering Cloud, Visualization techniques and virtual prototypes.
12:30 Lunch break
13:30 Lecture Introduction to High Performance Computing (Hartree Centre)
14:30 Pracical session Practical session and exercises on HPC
16:30 Wrapping up Summary of the day

Day 2 - 5th May 2016

Time Activity Type Description
10:00 Lecture Introduction to COSSAN-X (Main features and capabilities, toolboxes and wizards)
10:30 Demonstration Getting started and familiarisation with the software. Define Random Variables and construct a stochastic model
11:00 Practcal session Basic Tutorial: UQ and Sensitivity analysis of a simple Cantilever Beam
11:30 Practical session Applications and Exercises
12:30 Lunch break
13:30 Practical session Connect COSSAN-X with 3rd party solvers (ABAQUS, NASTRAN, LS_DYNA, etc) and job submission to cluster
14:00 Practical session Meta-models, Robust Optimization and Reliability Based Optimization
15:30 Pracical session User defined model and advanced simulations methods
16:30 Wrapping up Summary of the day

Day 3 - 6th May 2016

Time Activity Type Description
10:00 Lecture Introduction to OpenCossan (Main features and capabilities, toolboxes and wizards)
10:30 Lecture Basic Matlab concepts and Object Orienting Programming
11:00 Practical session Code and use simple objects in Matlab
11:30 Demonstration OpenCossan structure, Tutorials and Unit Test
11:45 Practical session Uncertainty Quantification of simple models and advanced simulation methods
12:30 Lunch break
13:30 Demonstration Interaction with 3rd party solver and job submission to cluster
14:00 Practical session Advanced Monte Carlo methods
15:30 Pracical session User defined solution, loops and advanced methods
16:00 Lecture OpenCossan 2.0 - upcoming features and collaborative development
16:30 Wrapping up Summary of the day