### Abstract

Original language | English |
---|---|

Publisher | VTT Technical Research Centre of Finland |

Number of pages | 28 |

Publication status | Published - 2015 |

MoE publication type | D4 Published development or research report or study |

### Publication series

Name | Research Report |
---|---|

Publisher | VTT |

Volume | VTT-R-00527-15 |

### Fingerprint

### Keywords

- topology optimization
- high-performance computing

### Cite this

*SIMPRO Task 2.2: Topology optimization in HPC environment*. VTT Technical Research Centre of Finland. VTT Research Report, Vol.. VTT-R-00527-15

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*SIMPRO Task 2.2: Topology optimization in HPC environment*. VTT Research Report, vol. VTT-R-00527-15, VTT Technical Research Centre of Finland.

**SIMPRO Task 2.2 : Topology optimization in HPC environment.** / Komi, Erin; Hämäläinen, Juhani.

Research output: Book/Report › Report › Professional

TY - BOOK

T1 - SIMPRO Task 2.2

T2 - Topology optimization in HPC environment

AU - Komi, Erin

AU - Hämäläinen, Juhani

N1 - Project code: 78634

PY - 2015

Y1 - 2015

N2 - This study sought to investigate the use of a high-performance computing environment to efficiently automate some of the early steps in the design process. The idea was to manipulate commercially available software to automate the running and results tabulation of a large number of topology optimizations. This was achieved by creating a finite element model of the chosen case study (genset base frame), creating superelements for large, complex components that were attached (engine and generator), preparing a topology optimization model, generating shape variables that altered the length, width and height of the design space, and launching a design of experiments on a computing cluster so that 64 variations of the topology optimization were run. Upon completion of each optimization run, the DOE automatically launched a program to interpret the results in several different ways, and then subsequently submitted the new design for reanalysis based on the initial design criteria. The results of the reanalysis were automatically tabulated for easy comparison of designs. The DOE set-up was also flexible enough to allow for additional topology optimization results interpretation and reanalysis after the initial runs were completed. The final result was hundreds of designs from which it was easy to select those which were most able to achieve the design goals.

AB - This study sought to investigate the use of a high-performance computing environment to efficiently automate some of the early steps in the design process. The idea was to manipulate commercially available software to automate the running and results tabulation of a large number of topology optimizations. This was achieved by creating a finite element model of the chosen case study (genset base frame), creating superelements for large, complex components that were attached (engine and generator), preparing a topology optimization model, generating shape variables that altered the length, width and height of the design space, and launching a design of experiments on a computing cluster so that 64 variations of the topology optimization were run. Upon completion of each optimization run, the DOE automatically launched a program to interpret the results in several different ways, and then subsequently submitted the new design for reanalysis based on the initial design criteria. The results of the reanalysis were automatically tabulated for easy comparison of designs. The DOE set-up was also flexible enough to allow for additional topology optimization results interpretation and reanalysis after the initial runs were completed. The final result was hundreds of designs from which it was easy to select those which were most able to achieve the design goals.

KW - topology optimization

KW - high-performance computing

M3 - Report

T3 - Research Report

BT - SIMPRO Task 2.2

PB - VTT Technical Research Centre of Finland

ER -