27th - 29th April 2020

Online Training Course

This event was previously scheduled for end of March, however in light of the recent pandemic, we are now conducting this event online. In comparison to previous trainings this will be lightweight. For this reason, it will be at a reduced fee.

Institute for Risk and Uncertainty (UK) in collaboration with University of Strathclyde and Institut für Risiko und Zuverlässigkeit (Germany), are offering a 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:

RegistrationRegister
Date: 27 - 29 April 2020
Venue: N/A (Online)
Time:
TBD
Fee:
Industrial Attendee: £125
Academic Attendee: £95
Student/PhD: £50
Technical Requirements:
The training sessions will be accessible to all via video conferencing, for which we will send details closer to time.
A small section of the training will involve trying out a demo software. At present, this demo requires windows or linux systems. If you don't own one it is not a problem, as this is a very small section of the training and you will be able to see how it works on the presenter's machine.

Tentative Programme

Day 1

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

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