Important results from the project
The project stimulated a fruitful exchange of knowledge about quality assurance of numerical simulations and its implementation in automotive industry for product development and verification. A number of examples and simple tools were developed to illustrate statistical methods for uncertainty quantification and sensitivity analysis and help computational engineers to use these techniques to evaluate the uncertainty in their models and better allocate resources to validate them.
Expected long term effects
The project´s results will help developers and computational engineers in the automotive industry to better understand and quantify the uncertainty that is always present in the data generated by virtual representations of vehicle components and systems. That should make it easier to understand risks related to different design options and get a more robust basis for making decisions, thus improving the efficiency of the entire product development process.
Approach and implementation
Completed activities:
1) To familiarise with simulation assignments of the host team at Volvo Cars.
2) To analyze 1-2 case studies on uncertainty quantification and sensitivity analysis.
3) To present results to potential users and generate ideas for future collaboration.
The original schedule had to be extended to deal with conflicts with parallel projects where I was involved at the same time. The contact with the host team was maintained continuously and the collaboration worked very fine.
The project description has been provided by the project members themselves and the text has not been looked at by our editors.
