9417

Generating 3D Topologies with Multiple Constraints on the GPU

Krishnan Suresh
University of Wisconsin, Madison, USA
10th World Congress on Structural and Multidisciplinary Optimization, 2013

@article{suresh2013generating,

   title={Generating 3D Topologies with Multiple Constraints on the GPU},

   author={Suresh, Krishnan},

   year={2013}

}

Download Download (PDF)   View View   Source Source   

1705

views

The objective of this paper is to demonstrate a topology optimization method that can handle multiple constraints. The method relies on the concept of topological sensitivity that captures the first order change in any quantity of interest to a topological change. Specifically, in this paper, the topological sensitivity field for each of constraints is first computed. These fields are then dynamically combined to result in a single topological level-set. Finally, by relying on a fixed-point iteration, the topological level-set leads to optimal topologies (with decreasing volume fractions) that satisfy the constraints. Since the method relies on an assembly-free finite-element analysis, it is parallelization-friendly, and can be easily ported to the GPU, as demonstrated through examples in 3D.
No votes yet.
Please wait...

* * *

* * *

HGPU group © 2010-2024 hgpu.org

All rights belong to the respective authors

Contact us: