Parametric Reduced-Order Modeling of Aeroelastic Systems

Parametric reduced order model approach for simulation and optimization of aeroelastic systems with structural nonlinearities

A method based on Parametric Reduced Order Models to efficiently predict the transient response of aeroelastic systems with concentrated structural nonlinearities is presented. The approach approximates the nonlinear response in a piecewise-linear manner through time integration of sub-linear reduced order models; these are parameterized with respect to the nonlinearity and are efficiently obta...

Improved Reduced Order Modeling Strategies for Coupled and Parametric Systems

Numerical Simulation and Parametric Reduced Order Modeling of the Natural Convection of Water-Copper Nanofluid

In this article, a coupled computational framework is presented for the numerical simulation of mass transfer under the effects of natural convection phenomena in a field contains water-copper Nano-fluid. This CFD model is build up based on accurate algorithms for spatial derivatives and time integration. The spatial derivatives have been calculated using first order upwind and second order cen...

Parametric Reduced-Order Models

We address the problem of propagating input uncertainties through a computational fluid dynamics model. Methods such as Monte Carlo simulation can require many thousands (or more) of computational fluid dynamics solves, rendering them prohibitively expensive for practical applications. This expense can be overcome with reduced-order models that preserve the essential flow dynamics. The specific...

Reduced Order Modeling of Nonlinear Control Systems