High-Performance Shape Optimization for Linear Elastic Models of Epidermal Cell Structures
Jose Pinzon (),
Martin Siebenborn () and
Andreas Vogel ()
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Jose Pinzon: Ruhr University Bochum, High Performance Computing in the Engineering Sciences
Martin Siebenborn: University Hamburg, Department of Mathematics
Andreas Vogel: Ruhr University Bochum, High Performance Computing in the Engineering Sciences
A chapter in High Performance Computing in Science and Engineering '20, 2021, pp 579-594 from Springer
Abstract:
Abstract We employ parallel shape optimization to find optimal configurations of human skin cell compounds minimizing the stored energy. To this end, we model linear elastic mechanical properties of epidermal cell structures including additional constraints for space-filling designs with minimal surfaces. The large distributed-memory cluster Hazel Hen is used to simulate these three-dimensional domains at a cellular level. Several benchmark tests are carried out using a gradient-penalized shape optimization algorithm comparing the influence of optimization weights. In addition, an enhanced regularization for locally nonsingular deformation mappings is presented for the two-dimensional setting which significantly reduces the number of required optimization steps while retaining very thin inter-cellular channels. Results for weak scaling studies are shown for up to 3 billion degrees of freedom and 12,288 cores with close to ideal speedup.
Date: 2021
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Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-3-030-80602-6_38
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DOI: 10.1007/978-3-030-80602-6_38
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