Modeling mesoscale energy localization in shocked HMX, Part II: training machine-learned surrogate models for void shape and void–void interaction effects-Reference-Cited by-同舟云学术

Modeling mesoscale energy localization in shocked HMX, Part II: training machine-learned surrogate models for void shape and void–void interaction effects

Published:2019-12-16 Issue:4 Volume:30 Page:349-371
ISSN:0938-1287
Container-title:Shock Waves
language:en
Short-container-title:Shock Waves

Author:

Roy S.^ORCID,Rai N. K.,Sen O.^ORCID,Hardin D. B.,Diggs A. S.,Udaykumar H. S.^ORCID

Funder

Air Force Research Laboratory

Publisher

Springer Science and Business Media LLC

Subject

General Physics and Astronomy,Mechanical Engineering

Link

http://link.springer.com/content/pdf/10.1007/s00193-019-00931-1.pdf

Reference46 articles.

1. Lee, E.L., Tarver, C.M.: Phenomenological model of shock initiation in heterogeneous explosives. Phys. Fluids 23(12), 2362–2372 (1980). https://doi.org/10.1063/1.862940

2. Sen, O., Rai, N., Diggs, A., Hardin, D., Udaykumar, H.: Multi-scale shock-to-detonation simulation of pressed energetic material: a meso-informed ignition and growth model. J. Appl. Phys. 124(8), 085110 (2018). https://doi.org/10.1063/1.5046185

3. Nassar, A., Rai, N.K., Sen, O., Udaykumar, H.: Modeling mesoscale energy localization in shocked HMX, part I: machine-learned surrogate models for the effects of loading and void sizes. J Shock Waves 29(4), 537–558 (2018). https://doi.org/10.1007/s00193-018-0874-5

4. Welle, E.J., Molek, C.D., Wixom, R.R., Samuels, P.: Microstructural effects on the ignition behavior of HMX. J. Phys. Conf. Ser. 500(5), 052049 (2014). https://doi.org/10.1088/1742-6596/500/5/052049

5. Molek, C., Welle, E.: Private communication. Image obtained by Ryan Wixom (LANL)

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