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An Artificial Neural Network (ANN) Prediction Model Approach to Predict Shock Metamaterial Shock Mitigation Behavior
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- Authors
- Issue Date
- 2024
- Keywords
- Metamaterial ; Impactor shape ; Artificial Neural Network (ANN) ; Finite element analysis ; shock velocity impact
- Description
- This work was supported by Basic Science Research Program of the National Research Foundation (NRF) of Korea funded by the Ministry of Education (grant number: NRF-2022R1I1A1A01071752), Republic of Korea. The tests in this work were conducted with the assistance of the Institute of Construction and Environmental Engineering and Extreme Performance Testing Center and at Seoul National University.
- Abstract
- We propose the use of Artificial Neural Networks (ANNs) to predict the response of auxetic metamaterial structures under various shock impact velocities. To develop a predictive model for Y-direction acceleration, we designed a 3x[N]n x 1-layer ANN architecture, utilizing metamaterial dimensions, impact velocity, and impactor shape as input parameters, with acceleration as the output. Among tested configurations, Model 9 (3 x 100 x 100 x 100 x 1) demonstrated optimal predictive performance, with a high R² of 0.998.
- Language
- English
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