Efficient Uncertainty quantification for Optimization in Robust design of Industrial Applications

01 March 2015 → 28 February 2019
Regional and community funding: various
Research disciplines
  • Natural sciences
    • Fluid mechanics
  • Engineering and technology
    • Computer aided engineering, simulation and design
uncertainty quantification
Project description

The final objective of this project is to develop an efficient methodology for the optimization of industrial processes m.i.v. uncertainties. Uncertainties of the parameters influencing the process, as well as that of the design variables are themselves charged in the optimization cycle. It focuses on a variety of design variables and uncertainties. By adding uncertainty in the design cycle is the exploration of the design space (optimization) to be combined with the exploration of space stochastic (uncertainties) and submit accurate and efficient surrogate models to be developed.