Research project

NICOP RDO 2 (DIT.AD021.022)

Thematic area

Engineering, ICT and technologies for energy and transportation

Project area

Matematica Applicata (DIT.AD021)

Structure responsible for the research project

Institute of Marine Engineering (INM)

Project manager

MATTEO DIEZ
Phone number: 06502991
Email: 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.

Goals

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

15/05/2015

Keywords

development of high-fidelity stochastic simulation

Last update: 04/12/2023