13th International Conference on Motion and Vibration Control; 12th International Conference on Recent Advances in Structural Dynamics | |
A model identification technique to characterize the low frequency behaviour of surrogate explosive materials | |
Paripovic, Jelena^1 ; Davies, Patricia^1 | |
Ray W. Herrick Laboratories, Purdue University, 177 South Russel Street, West Lafayette | |
IN | |
47907-2099, United States^1 | |
关键词: Constituent materials; Estimation techniques; Improvised explosive devices; Low frequency behavior; Mechanical excitations; Microstructural modelling; Model identification; Nonlinear viscoelastic model; | |
Others : https://iopscience.iop.org/article/10.1088/1742-6596/744/1/012124/pdf DOI : 10.1088/1742-6596/744/1/012124 |
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来源: IOP | |
【 摘 要 】
The mechanical response of energetic materials, especially those used in improvised explosive devices, is of great interest to improve understanding of how mechanical excitations may lead to improved detection or detonation. The materials are comprised of crystals embedded into a binder. Microstructural modelling can give insight into the interactions between the binder and the crystals and thus the mechanisms that may lead to material heating and but there needs to be validation of these models and they also require estimates of constituent material properties. Addressing these issues, nonlinear viscoelastic models of the low frequency behavior of a surrogate material-mass system undergoing base excitation have been constructed, and experimental data have been collected and used to estimate the order of components in the system model and the parameters in the model. The estimation technique is described and examples of its application to both simulated and experimental data are given. From the estimated system model the material properties are extracted. Material properties are estimated for a variety of materials and the effect of aging on the estimated material properties is shown.
【 预 览 】
Files | Size | Format | View |
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A model identification technique to characterize the low frequency behaviour of surrogate explosive materials | 1901KB | download |