Now showing items 1-5 of 5
Computing Functional Gains for Designing More Energy-Efficient Buildings Using a Model Reduction Framework
We discuss developing efficient reduced-order models (ROM) for designing energy-efficient buildings using computational fluid dynamics (CFD) simulations. This is often the first step in the reduce-then-control technique ...
Local improvements to reduced-order models using sensitivity analysis of the proper orthogonal decomposition
(Cambridge University Press, 2009-06)
The proper orthogonal decomposition (POD) is the prevailing method for basis generation in the model reduction of fluids. A serious limitation of this method, however, is that it is empirical. In other words, this basis ...
Shape Sensitivity Analysis in Flow Models Using a Finite-Difference Approach
(Hindawi Publishing Corporation, 2010)
Reduced-order models have a number of practical engineering applications for unsteady flows that require either low-dimensional approximations for analysis and control or repeated simulation over a range of parameter values. ...
On efficient solutions to the continuous sensitivity equation using automatic differentiation
(Siam Publications, 2000-06)
Shape sensitivity analysis is a tool that provides quantitative information about the influence of shape parameter changes on the solution of a partial differential equation (PDE). These shape sensitivities are described ...