activity
20232026
most citedEfficient and accurate separable models for discrete material optimization: A continuous perspective

2 citations · 2 across the 5 of their papers we have counts for

collaborators

6 papers

math.OC2026

Aligning feature-mapping designs to given density fields, first and second order

Fabian Wein, Patrick Jung, Arash Moradian +1

Feature-mapping methods represent structural designs by explicit geometric primitives on fixed analysis grids, an interpretable and parametric alternative to the density fields of…

math.NA2026

On The Convergence of the Discretized Linear Static State-Based Peridynamic Equations

Lukas Pflug, Michael Stingl, Max Zetzmann

In this paper, the convergence of the solutions for a discretized linear state-based static peridynamic system to the corresponding continuous solution is analytically proven. To o…

math.OC2025

A 140 line MATLAB code for topology optimization problems with probabilistic parameters

Andrian Uihlein, Ole Sigmund, Michael Stingl

We present an efficient 140 line MATLAB code for topology optimization problems that include probabilistic parameters. It is built from the top99neo code by Ferrari and Sigmund and…

math.OC2024

A stochastic method of moving asymptotes for topology optimization under uncertainty

Lukas Pflug, Michael Stingl, Andrian Uihlein

Topology optimization under uncertainty or reliability-based topology optimization is usually numerically very expensive. This is mainly due to the fact that an accurate evaluation…

math.OC2024

A nonlocal approach to graded surface modeling in topology optimization

Sukhminder Singh, Lukas Pflug, Fabian Wein +1

Additively manufactured structures often exhibit a correlation between their mechanical properties, such as stiffness, strength, and porosity, and their wall thickness. This correl…

math.NA2023★ 2 cited

Efficient and accurate separable models for discrete material optimization: A continuous perspective

Peter Gangl, Nico Nees, Michael Stingl

Multi-material design optimization problems can, after discretization, be solved by the iterative solution of simpler sub-problems which approximate the original problem at an expa…