NICOP RDO 2 (DIT.AD021.022)
Project areaMatematica Applicata (DIT.AD021)
Structure responsible for the research project
abstract: The project addresses the development of high-fidelity stochastic simulation-based design (SBD) methodologies for challenging real-world applications. The focus is on:design space variability breakdown and dimensionality reduction; dynamic metamodels for uncertainty quantification (UQ) and optimization; global optimization algorithms addressing continuous distributions of environmental/operational conditions. Since the early design phase, a significant portion of the operating envelope of complex naval systems is optimized under a variety of conditions, meeting the interests of the Platform Design and Survivability US Naval S&T Focus Area. The research is conducted with the University of Iowa, and in collaboration with NATO STO AVT-252 Stochastic Design Optimization for Naval and Aero Military Vehicles.
The objective of the proposed research is the extension of the University of Iowa, CNR-INSEAN, and NMRI SBD tool box for linear and nonlinear research-space dimensionality reduction and assessment of geometric variability including confidence intervals; for improvements in global optimization algorithms; for asynchronous evaluators for Particle Swarm Optimization (PSO), Multi-Objective Genetic Algorithm (MOGA), Variable Fidelity Model (VFM) on HPC systems; for dynamic meta-models and Importance Sampling methodologies; for inverse problem formulation; and for ever more advanced real-world industrial applications using high-fidelity CFD, which demonstrate fundamental new developments in SBD capabilities, including validation experiments.
Start date of activity
development of high-fidelity stochastic simulation
Last update: 04/12/2023