4 papers
A thermodynamically consistent framework for finite growth of multi-constituent mixtures with application to tumor growth
Jonathan Stollberg, Marco F. P. ten Eikelder, Dominik Schillinger
Biological tissues grow by continuously producing, transporting, and reorganizing multiple interacting constituents. These processes are intrinsically coupled to finite deformation…
Machine-learning-assisted multiscale topology optimization of functionally graded superimposed lattice structures
Prashant Kumar Gupta, Jonathan Stollberg, Dominik Schillinger +1
Functionally graded lattice structures enable lightweight designs with spatially tunable stiffness and density, but their use in multiscale topology optimization is limited by the…
On the Localization of Checkerboarding in Multiaxial Stress Regions under SIMP Penalization
Iulian Paunel, Jonathan Stollberg, Dominik Schillinger
Checkerboard patterns are a well-known numerical artifact in density-based topology optimization using the Solid Isotropic Material with Penalization (SIMP) method and linear finit…
Multiscale topology optimization of functionally graded lattice structures based on physics-augmented neural network material models
Jonathan Stollberg, Tarun Gangwar, Oliver Weeger +1
We present a new framework for the simultaneous optimiziation of both the topology as well as the relative density grading of cellular structures and materials, also known as latti…