Uncertainty Quantification Training Course

3rd - 5th April 2017

PC teaching Centre, University of Liverpool

In collaboration with the Institute for Risk and Uncertainty and Hartree Centre, we are offering a 3 day training course on Uncertainty Quantification using COSSAN Software on High Performance Computing.

Structure of the training programme

Each day focuses on a specific topic. The first two days are dedicated to COSSAN-X and OpenCossan while the last day will see the introduction of general concepts of stochastic and probabilistic analysis as well as an introduction to High Performance Computing with practical exercises.

Aims and Learning outcomes

You will learn the main techniques available for dealing with Risk and Uncertainty and how to use High Performance Computing to speed up the analysis.

Main Concepts and techniques

  • Random Variables and Random Variables Sets
  • Monte Carlo simulation and advanced simulation techiniques (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

  • Location

    Room CTL-6-PCTC-BLUE
    PC Teaching Centre
    First Floor: Blue Zone
    University of Liverpool
    Campus Map

    Registration

    Fees: £50
    Includes: Lunch and Tea/Coffee Breaks
    Registration link can be found at the top of this page.

    Tentative Programme

    Day 1: 3rd April 2017

    Time Activity Type Description
    10:00 Lecture Welcome, aim and structure of the course. Getting started and 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 Practical 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 Practical session User defined model and advanced simulations methods
    16:30 Wrapping up Summary of the day

    Day 2: 4th April 2017

    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 Oriented Programming
    11:00 Practical session Code and use of 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 Practical 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

    Day 3: 5th April 2016

    Time Activity Type Description
    10:00 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, 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 Demonstration Demonstration of Engineering Cloud, Visualization Techniques and Virtual Prototypes by Virtual Engineering Centre.
    12:30 Lunch break
    13:30 Lecture Introduction to High Performance Computing
    14:30 Practical session Practical session and exercises on HPC
    16:30 Wrapping up Summary of the day