Parameter inversion of the polymethyl methacrylate constitutive model based on explosive cutting experiment

ZHANG Yuzhuo; ZHAO Zheng

doi:10.11883/bzycj-2023-0006

Volume 43 Issue 5

May 2023

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ZHANG Yuzhuo, ZHAO Zheng. Parameter inversion of the polymethyl methacrylate constitutive model based on explosive cutting experiment[J]. Explosion And Shock Waves, 2023, 43(5): 054201. doi: 10.11883/bzycj-2023-0006

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ZHANG Yuzhuo, ZHAO Zheng. Parameter inversion of the polymethyl methacrylate constitutive model based on explosive cutting experiment[J]. Explosion And Shock Waves, 2023, 43(5): 054201. doi: 10.11883/bzycj-2023-0006

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Parameter inversion of the polymethyl methacrylate constitutive model based on explosive cutting experiment

doi: 10.11883/bzycj-2023-0006

ZHANG Yuzhuo,
ZHAO Zheng^,

School of Energy and Power Engineering, Nanjing University of Science and Technology, Nanjing 210094, Jiangsu, China

Received Date: 2023-01-05
Rev Recd Date: 2023-02-17

Available Online: 2023-03-29

Publish Date: 2023-05-05

Abstract

Abstract

In order to obtain the material constitutive model parameters of polymethyl methacrylate (PMMA) in the numerical simulation of explosive cutting, and to avoid the multiple tests required by the traditional method of obtaining the material constitutive model parameters, a neural network-based inversion method of the Johnson Holmquist Ceramics (JH-2) constitutive model parameters of PMMA was established. Firstly, a 2.5-mm-wide linear shaped charge was used to cut 14 mm PMMA flat plate, and the results of the explosive cutting test were analyzed to classify and quantify the damage of PMMA flat plate into three kinds of damage data: penetration depth, impact fracture thickness and spallation damage thickness. Based on the empirical parameters of the JH-2 constitutive model obtained from the explosive cutting experiments and existing studies, the adjustment interval of the constitutive model parameters was determined. LS-DYNA was used to simulate the process of cutting 14 mm PMMA flat plate with 2.5 mm wide linear shaped charge and to collect a flat plate damage data set containing the three kinds of damage data. A neural network model between the parameters of the PMMA flat plate constitutive model and the damage data was developed, and the model was trained using the plate damage data set. The inversion of the JH-2 constitutive model parameters of the PMMA flat plate was performed by the trained neural network model. In order to verify the reliability of the parameters obtained by the inversion method, a 4.2 mm wide linear shaped charge cutting 19 mm PMMA flat plate experiments and finite element numerical simulation were conducted, and the fracture characteristics and damage data of the PMMA flat plate in the calculation results were less different from the experiment results, indicating that the JH-2 constitutive model parameters obtained by the inversion can be better applied to PMMA flat plate explosive cutting numerical simulation. The parameter inversion method can obtain more accurate material constitutive model parameters with less experiments and tests than the traditional material parameter acquisition method.
- neural network,
- explosive cutting,
- finite element analysis,
- parameter inversion

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References(16)

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