NICOP RDO 2 (DIT.AD021.022)
Area tematica
Ingegneria, ICT e tecnologie per l'energia e i trasporti
Area progettuale
Matematica Applicata (DIT.AD021)Struttura responsabile del progetto di ricerca
Istituto di iNgegneria del Mare (INM)
Responsabile di progetto
MATTEO DIEZ
Telefono: 06502991
E-mail: matteo.diez@cnr.it
Abstract
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.
Obiettivi
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.
Data inizio attività
15/05/2015
Parole chiave
development of high-fidelity stochastic simulation
Ultimo aggiornamento: 13/06/2025