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20202022
most citedNumerical analysis of a topology optimization problem for Stokes flow

13 citations · 14 across the 4 of their papers we have counts for

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6 papers · 1 filter

math.NA2022

Numerical analysis of the SIMP model for the topology optimization problem of minimizing compliance in linear elasticity

Ioannis P. A. Papadopoulos

We study the finite element approximation of the solid isotropic material with penalization method (SIMP) for the topology optimization problem of minimizing the compliance of a li…

math.NA2022★ 1 cited

A sparse spectral method for fractional differential equations in one-spatial dimension

Ioannis P. A. Papadopoulos, Sheehan Olver

We develop a sparse spectral method for a class of fractional differential equations, posed on , in one dimension. These equations can include sqrt-Laplacian, Hilbert,…

math.NA2022

Preconditioners for computing multiple solutions in three-dimensional fluid topology optimization

Ioannis P. A. Papadopoulos, Patrick E. Farrell

Topology optimization problems generally support multiple local minima, and real-world applications are typically three-dimensional. In previous work [I. P. A. Papadopoulos, P. E.…

math.NA2021

Numerical analysis of a discontinuous Galerkin method for the Borrvall-Petersson topology optimization problem

Ioannis P. A. Papadopoulos

Divergence-free discontinuous Galerkin (DG) finite element methods offer a suitable discretization for the pointwise divergence-free numerical solution of Borrvall and Petersson's…

math.NA2021★ 13 cited

Numerical analysis of a topology optimization problem for Stokes flow

Ioannis P. A. Papadopoulos, Endre Süli

T. Borrvall and J. Petersson [Topology optimization of fluids in Stokes flow, International Journal for Numerical Methods in Fluids 41 (1) (2003) 77--107] developed the first model…

math.NA2020

Computing multiple solutions of topology optimization problems

Ioannis P. A. Papadopoulos, Patrick E. Farrell, Thomas M. Surowiec

Topology optimization problems often support multiple local minima due to a lack of convexity. Typically, gradient-based techniques combined with continuation in model parameters a…