19th - 20th November 2016

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.

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


Date: 19th November 2016 - 20th November 2016
Venue: Room 802, Zonghe Building,
Main campus of Tongji University
Local Contact:
Mr. Zhiqiang Wan
E-mail: 1510155@tongji.edu.cn
Tel: 13072307897


Day 1: 19th November 2016

Time Activity Type Description
9:00 Introduction Welcome, aim and structure of the course. Getting started: basic useful computer commands and remote connection
9:30 Lecture COSSAN-X and OpenCossan (Main features and capabilities, toolboxes and wizards)
10:15 Lecture Introduction to Uncertainty Quantification and modelling of the uncertainties (random variables, stochastic processes, etc.).
10:45 Practical session Getting started and familiarisation with the software. Define Random Variables and construct a stochastic model
11:30 Lunch break
12:30 Lecture Basic Monte Carlo method simulation for Uncertainty Quantification and reliability analysis
13:00 Practical session Tutorial: Uncertainty Quantification of a simple cantilever beam model
13:45 Lecture Advanced Monte Carlo methods (Importance sampling, Line Sampling, Subset Simulation)
14:15 Practical session Tutorial: Uncertainty Quantification and reliability analysis using advanced methods
15:30 Wrapping up Summary of the day

Day 2: 20th November 2016

Time Activity Type Description
9:00 Lecture Connect COSSAN-X with 3rd party solvers (ABAQUS, NASTRAN, LS_DYNA, etc.) and high performance capabilities
9:30 Practical session Connect COSSAN-X with your model
10:15 Lecture Introduction to Local and Global Sensitivity Analysis
10:45 Practical session Tutorial: Sensitivity analysis of a simple model and 3rd party models
11:30 Lunch break
12:30 Practical session Optimisation (Gradient based and gradient free approaches, stochastic optimisation)
13:00 Practical session Tutorial: Optimization of a simple Cantilever Beam
14:45 Lecture Meta-models (Response surface, Artificial Neural Networks, etc), and Robust and Reliability based optimisation
14:15 Practical session Tutorial: Meta-models, Robust Optimization and Reliability Based Optimization
15:00 Practical session Tutorial: Databases, visualisations and connection with High Performance Computing
15:30 Wrapping up Summary of the day