A discretize-then-map approach for the treatment of parameterized geometries in model order reduction
Tommaso Taddei, Lei Zhang

TL;DR
This paper introduces a discretize-then-map method for efficiently handling parameterized geometries in projection-based model order reduction, simplifying implementation and improving online computational efficiency.
Contribution
The paper proposes a novel discretize-then-map framework that simplifies reduced-order modeling for parameterized geometries compared to traditional map-then-discretize methods.
Findings
Effective in two-dimensional potential flow past a parameterized airfoil.
Successfully applied to RANS simulations of flow past the Ahmed body.
Simplifies implementation of reduced-order models for parameterized geometries.
Abstract
We present a general approach for the treatment of parameterized geometries in projection-based model order reduction. During the offline stage, given (i) a family of parameterized domains where denotes a vector of parameters, (ii) a parameterized mapping between a reference domain and the parameter-dependent domain , and (iii) a finite element triangulation of , we resort to an empirical quadrature procedure to select a subset of the elements of the grid. During the online stage, we first use the mapping to "move" the nodes of the selected elements and then we use standard element-wise residual evaluation routines to evaluate the residual and possibly its Jacobian. We discuss how to devise an online-efficient reduced-order model and we…
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