Intelligent collaborative optimization of structural parameters for hook-sheet specimens used in split Hopkinson tensile bar

HUANG Dedong; WANG Qinghua; XING Liangliang; XU Feng; WU Bin

doi:10.11883/bzycj-2018-0371

Volume 39 Issue 10

Oct. 2019

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HUANG Dedong, WANG Qinghua, XING Liangliang, XU Feng, WU Bin. Intelligent collaborative optimization of structural parameters for hook-sheet specimens used in split Hopkinson tensile bar[J]. Explosion And Shock Waves, 2019, 39(10): 104103. doi: 10.11883/bzycj-2018-0371

Citation:

HUANG Dedong, WANG Qinghua, XING Liangliang, XU Feng, WU Bin. Intelligent collaborative optimization of structural parameters for hook-sheet specimens used in split Hopkinson tensile bar[J]. Explosion And Shock Waves, 2019, 39(10): 104103. doi: 10.11883/bzycj-2018-0371

Citation:

HUANG Dedong, WANG Qinghua, XING Liangliang, XU Feng, WU Bin. Intelligent collaborative optimization of structural parameters for hook-sheet specimens used in split Hopkinson tensile bar[J]. Explosion And Shock Waves, 2019, 39(10): 104103. doi: 10.11883/bzycj-2018-0371

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Intelligent collaborative optimization of structural parameters for hook-sheet specimens used in split Hopkinson tensile bar

doi: 10.11883/bzycj-2018-0371

1.
Institute of Aerospace, Northwestern Polytechnical University, Xi’an 710072, Shaanxi, China
2.
Beijing Institude of Electronic System Engineering, Beijing 100084, China

Received Date: 2018-09-26
Rev Recd Date: 2019-04-01

Available Online: 2019-09-25

Publish Date: 2019-10-01

Abstract

Abstract

Compared with the fixed connection methods such as thread and adhesive commonly used in the split Hopkinson tensile bar experiments, the hook-sheet specimen has the advantages of simple connection form and quick assembly process. Aiming at measurement uncertainty caused by structural geometric effect of the hook-sheet specimen during the stretching process, based on the indicators for measurement accuracy of hook-sheet specimen, such as response of stress equilibrium, deformation uniformity, relative deformation of the transition zones and non-axial stress level, this paper adopted the multi-objective intelligent collaborative optimization algorithm which comprises orthogonal experimental design, back propagation (BP) neural network and genetic algorithm to optimize the structural parameters of hook-sheet specimen. The optimal structural parameters for hook-sheet specimen is thus obtained and the validity of the optimal structural parameters is verified by finite element simulations and experiments. The results provide a reference for data reliability analysis of split Hopkinson tensile bar experiments based on hook-joint sheet specimen.
- SHTB experimental technique,
- hook-sheet specimen,
- measurement accuracy,
- finite element analysis,
- multi-objective optimization

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References(20)

References

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