DOE PAGES title logo U.S. Department of Energy
Office of Scientific and Technical Information

Title: Navy Enhanced Sierra Mechanics (NESM): Toolbox for predicting Navy shock and damage

Abstract

Here, the US Navy is developing a new suite of computational mechanics tools (Navy Enhanced Sierra Mechanics) for the prediction of ship response, damage, and shock environments transmitted to vital systems during threat weapon encounters. NESM includes fully coupled Euler-Lagrange solvers tailored to ship shock/damage predictions. NESM is optimized to support high-performance computing architectures, providing the physics-based ship response/threat weapon damage predictions needed to support the design and assessment of highly survivable ships. NESM is being employed to support current Navy ship design and acquisition programs while being further developed for future Navy fleet needs.

Authors:
 [1];  [1];  [2];  [3];  [4]
  1. Naval Surface Warfare Center, West Bethesda, MD (United States)
  2. Sandia National Lab. (SNL-NM), Albuquerque, NM (United States)
  3. Naval Surface Warfare Center, Indian Head, MD (United States)
  4. Thorton Tomasetti Weidlinger Applied Science, New York, NY (United States)
Publication Date:
Research Org.:
Sandia National Lab. (SNL-NM), Albuquerque, NM (United States)
Sponsoring Org.:
USDOE National Nuclear Security Administration (NNSA)
OSTI Identifier:
1338305
Report Number(s):
SAND-2015-8891J
Journal ID: ISSN 1521-9615; 609815
Grant/Contract Number:  
AC04-94AL85000
Resource Type:
Accepted Manuscript
Journal Name:
Computing in Science and Engineering
Additional Journal Information:
Journal Volume: 18; Journal Issue: 6; Journal ID: ISSN 1521-9615
Publisher:
IEEE
Country of Publication:
United States
Language:
English
Subject:
97 MATHEMATICS AND COMPUTING; HPCMP; military; physics; engineering; computer applications; software/software engineering; Navy; shock; damage; CREATE; scientific computing

Citation Formats

Moyer, Thomas, Stergiou, Jonathan, Reese, Garth, Luton, James, and Abboud, Najib. Navy Enhanced Sierra Mechanics (NESM): Toolbox for predicting Navy shock and damage. United States: N. p., 2016. Web. doi:10.1109/mcse.2016.47.
Moyer, Thomas, Stergiou, Jonathan, Reese, Garth, Luton, James, & Abboud, Najib. Navy Enhanced Sierra Mechanics (NESM): Toolbox for predicting Navy shock and damage. United States. https://doi.org/10.1109/mcse.2016.47
Moyer, Thomas, Stergiou, Jonathan, Reese, Garth, Luton, James, and Abboud, Najib. Wed . "Navy Enhanced Sierra Mechanics (NESM): Toolbox for predicting Navy shock and damage". United States. https://doi.org/10.1109/mcse.2016.47. https://www.osti.gov/servlets/purl/1338305.
@article{osti_1338305,
title = {Navy Enhanced Sierra Mechanics (NESM): Toolbox for predicting Navy shock and damage},
author = {Moyer, Thomas and Stergiou, Jonathan and Reese, Garth and Luton, James and Abboud, Najib},
abstractNote = {Here, the US Navy is developing a new suite of computational mechanics tools (Navy Enhanced Sierra Mechanics) for the prediction of ship response, damage, and shock environments transmitted to vital systems during threat weapon encounters. NESM includes fully coupled Euler-Lagrange solvers tailored to ship shock/damage predictions. NESM is optimized to support high-performance computing architectures, providing the physics-based ship response/threat weapon damage predictions needed to support the design and assessment of highly survivable ships. NESM is being employed to support current Navy ship design and acquisition programs while being further developed for future Navy fleet needs.},
doi = {10.1109/mcse.2016.47},
journal = {Computing in Science and Engineering},
number = 6,
volume = 18,
place = {United States},
year = {Wed May 25 00:00:00 EDT 2016},
month = {Wed May 25 00:00:00 EDT 2016}
}

Works referencing / citing this record:

Robin-Neumann transmission conditions for fluid-structure coupling: Embedded boundary implementation and parameter analysis: Robin-Neumann transmission conditions for fluid-structure coupling
journal, May 2018

  • Cao, Shunxiang; Main, Alex; Wang, Kevin G.
  • International Journal for Numerical Methods in Engineering, Vol. 115, Issue 5
  • DOI: 10.1002/nme.5817