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Application of High Performance Computing to Rapid Assessment of Tunnel Vulnerability to Explosive Blast and Mitigation Strategies

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Blast Mitigation

Abstract

To credibly assess tunnel vulnerabilities to explosives and the mitigation of these vulnerabilities, one must consider the energetic source of the shock, the geophysical response of the surrounding soil or rock under strong dynamic loading, and the structural and material response of the tunnel to the explosion. Tools used for such assessments often require significant computational resources and expert analyses. This chapter provides a concise overview of some recent high fidelity multiphysics approaches to modeling tunnel structures and the need for careful experimental validation of these models. Presented also is an example of how the building of reduced order models from these higher fidelity capabilities can help to quickly estimate the effects of explosions within carefully defined tunnel scenarios.

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Acknowledgments

This work is performed under the auspices of the US Department of Energy by Lawrence Livermore National Laboratory under Contract DE-AC52-07NA27344. We would like to thank the Department of Homeland Security (DHS) Science and Technology (S&T) Directorate and the Transportation Security Administration for their sponsorship and assistance in these efforts. We particularly acknowledge the assistance and leadership of Dr. John Fortune (S&T), Dr. Mary Ellen Hynes (S&T), and Mr. Christopher McKay (TSA). We would also like to acknowledge the technical contributions of Lew Glenn, Larry McMichael, Chad Noble, Ilya Lomov, Stephanie Neuscamman, Oleg Vorobiev, Joe Morris, Greg Schebler, Allen Kuhl, Ben Liu, Ed Kokko, Ana Kupresanin, and Will Elmer. This document is LLNL-BOOK-589112.

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Correspondence to L. Glascoe Ph.D., P.E. .

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Glascoe, L., Antoun, T. (2014). Application of High Performance Computing to Rapid Assessment of Tunnel Vulnerability to Explosive Blast and Mitigation Strategies. In: Shukla, A., Rajapakse, Y., Hynes, M. (eds) Blast Mitigation. Springer, New York, NY. https://doi.org/10.1007/978-1-4614-7267-4_2

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  • DOI: https://doi.org/10.1007/978-1-4614-7267-4_2

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