This course provides an introduction to integrating Sandia Dakota software with TU SWASH software.
Sandia Dakota offers powerful tools for optimisation, uncertainty quantification, parameter estimation and sensitivity analysis, making it a versatile decision support tool for engineering and scientific research. SWASH, on the other hand, is characterised by the simulation of complex hydrodynamic and wave-induced processes in coastal, estuarine and river basins and provides accurate insights into water systems under different conditions.
Through integration, Dakota systematically examines parameters, performs sensitivity analyses and optimises SWASH model configurations. This streamlined approach improves research analysis, e.g. capturing uncertainties and dependencies between parameters. The result is a faster, automated process for reliable, validated results.
Participants will gain hands-on experience with setting up and running integrated tests and interpreting their results. By the end of the course, participants will have a basic understanding of how the combined strengths of Sandia Dakota and Delft SWASH can support comprehensive research studies.
There will not be PCs. Students need to bring their own laptops with the following software installed prior to the start of the course:
- Delft SWASH (SWASH Implementation Manual)
- Sandia Dakota (Dakota Installation Guide)
- Python 3
The short course will be given by Assist. prof. Damjan Bujak, University of Zagreb
