The rapid growth of computational power and the development of efficient numerical algorithms has enabled a number of Direct Numerical Simulation studies of turbulent combustion at conditions approaching practical relevance. Since DNS datasets are characterized by a high degree of details and completeness that is impossible to achieve in experiments, DNS data are helpful for the development and validation of turbulent combustion models for LES and RANS. However, it is often difficult to define a DNS simulation strategy that ideally addresses a given question, systematic data analysis can be challenging, and the way from data to model is often not clear. The aim of the workshop is to discuss these issues to improve the ways in which DNS can lead to understanding of combustion physics and the development of models for turbulent combustion. The discussion will be supported by contributed posters and some presentations.
- Quality and relevance of DNS data sets
- Data analysis and Systematic Model development methods
- Model Development: Examples
- End Date: 31 January 2018
- Notification Date:15 February 2018
- 01 Quality and relevance of DNS data sets