A quadratic approximation manifold is presented for performing nonlinear, projection-based,
model order reduction (PMOR). It constitutes a departure from the traditional affine subspace …

This paper presents a new nonlinear non‐intrusive reduced‐order model (NL‐NIROM) that
outperforms traditional proper orthogonal decomposition (POD)‐based reduced order model …

A computational framework is proposed for efficiently solving multidisciplinary analysis and
optimization (MDAO) problems in a relatively high-dimensional design parameter space. It …

Nowadays, the shipbuilding industry is facing a radical change toward solutions with a
smaller environmental impact. This can be achieved with low emissions engines, optimized …

This paper introduces the concept of a database of piecewise-global, nonlinear, projection-
based reduced-order models and intertwines it with that of an active subspace. The result is …

Parameter space reduction has been proved to be a crucial tool to speed-up the execution
of many numerical tasks such as optimization, inverse problems, sensitivity analysis, and …

View Video Presentation: https://doi. org/10.2514/6.2021-1694. vid A computational
framework is proposed for efficiently solving multidisciplinary analysis and optimization …

Numerical simulation of large-scale nonlinear dynamical systems, such as those resulting
from the discretization of partial differential equations like the Navier-Stokes equation, is …

This thesis introduces a new framework for solving optimization problems efficiently in
higher-dimensional parameter spaces constrained by partial differential equations (PDEs) …

In this paper, a numerical approach able to evaluate the sound power emitted by a non-
cavitating flexible marine propeller blade is proposed. With asymptotic expansions and …