High resolution topology optimization using graphics processing units (GPUs)
We present a Graphics Processing Unit (GPU) implementation of the level set method for topology optimization. The solution of three-dimensional topology optimization problems with millions of elements becomes computationally tractable with this GPU implementation and NVIDIA supercomputer-grade GPUs....
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| Veröffentlicht in: | Structural and multidisciplinary optimization 2014-02, Vol.49 (2), p.315-325 |
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| container_title | Structural and multidisciplinary optimization |
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| creator | Challis, Vivien J. Roberts, Anthony P. Grotowski, Joseph F. |
| description | We present a Graphics Processing Unit (GPU) implementation of the level set method for topology optimization. The solution of three-dimensional topology optimization problems with millions of elements becomes computationally tractable with this GPU implementation and NVIDIA supercomputer-grade GPUs. We demonstrate this by solving the inverse homogenization problem for the design of isotropic materials with maximized bulk modulus. We trace the maximum bulk modulus optimization results to very high porosities to demonstrate the detail achievable with a high computational resolution. By utilizing a parallel GPU implementation rather than a sequential CPU implementation, similar increases in tractable computational resolution would be expected for other topology optimization problems. |
| doi_str_mv | 10.1007/s00158-013-0980-z |
| format | Article |
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| ispartof | Structural and multidisciplinary optimization, 2014-02, Vol.49 (2), p.315-325 |
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| subjects | Bulk modulus Computation Computational Mathematics and Numerical Analysis Engineering Engineering Design Graphics boards Graphics processing units Isotropic material Research Paper Theoretical and Applied Mechanics Topology optimization |
| title | High resolution topology optimization using graphics processing units (GPUs) |
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