|About this Abstract
||2020 TMS Annual Meeting & Exhibition
||Algorithm Development in Materials Science and Engineering
||Material Parameters Identification, Modeling and Experimental Verification of the New Smart Material Vacuum Packed Particles
||Piotr Bartkowski, Robert Zalewski
|On-Site Speaker (Planned)
In this work the material parameter identification, simulations and experimental verification of the new smart material Vacuum Packed Particles is presented. The considered material is a structure composed of granular material inside the plastomer coating. When the pressure inside is equal or higher than atmospheric the system behaves like a liquid, otherwise like an elasto-plastic solid with a temperature and strain rate dependence. By changing the underpressure inside the coating it is possible to control the mechanical properties of the structure in a real time. In this work, the machine learning approach to model parameter estimation is presented. Additionally, the proposed model is implemented into LS-DYNA code Finite Element Method. In order to verify the simulation results a corresponding experimental tests were conducted using optical strain measurement system. The comparison of the outcomes showed a good correlation.
||Planned: Supplemental Proceedings volume