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Comparability Rule of Impact Dynamic Responses Considering Strain Rate Effect in Materials |
Received:November 30, 2023 Revised:March 18, 2024 |
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DOI:10.7643/issn.1672-9242.2024.04.007 |
KeyWord:strain rate model comparability rule similarity scaling impact normalized equation |
Author | Institution |
WANG Aohan |
Institute of Systems Engineering, China Academy of Engineering Physics, Sichuan Mianyang , China;Sichuan Provincial Key Laboratory for Shock and Vibration of Engineering Materials and Structures, Sichuan Mianyang , China |
WANG Shuai |
Institute of Systems Engineering, China Academy of Engineering Physics, Sichuan Mianyang , China;Sichuan Provincial Key Laboratory for Shock and Vibration of Engineering Materials and Structures, Sichuan Mianyang , China |
LI Jicheng |
Institute of Systems Engineering, China Academy of Engineering Physics, Sichuan Mianyang , China;Sichuan Provincial Key Laboratory for Shock and Vibration of Engineering Materials and Structures, Sichuan Mianyang , China |
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Abstract: |
The work aims to investigate the comparability rule of impact dynamic responses considering strain rate effect in materials and obtain an accurate solution that can synthesize the elastic-plastic and strain rate effects of materials, to support the model test in engineering. Considering the elasticity, strain hardening effect and strain rate effect of materials, the comparability rule expressions of impact dynamic responses were derived based on Buckingham P theorem. On this basis, the method of changing the structure mass and impactor velocity to satisfy the similar conditions of the model was proposed. Compared with the recent model comparability rules with the weakness of approximate similarity and iterative solution, the proposed comparability rule was a direct and accurate solution and further took both the elastic-plastic and strain rate effects of materials into account. The numerical model of circular plate under impactor was used for verification.The model derived can accurately predict the dynamic response of the prototype model. Comparatively, there are usually obvious prediction errors when previous similar methods are adopted. |
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