Three-dimensional simulations of oblique asteroid impacts into water
Journal Article
·
· Journal of Space Safety Engineering
- Los Alamos National Lab. (LANL), Los Alamos, NM (United States)
Waves generated by impacts into oceans may represent the most significant danger from near-earth asteroids and comets. For impacts near populated shores, the crown splash and subsequent waves, accompanied by sediment lofting and high winds, are more damaging than storm surges from the strongest hurricanes. Asteroids less than 500 m in diameter, impacting deep water far from shores, produce waves that may be detectable over large distances, but are probably not significantly dangerous. Here, we present new three-dimensional simulations of oblique impacts into deep water, with trajectory angles ranging from 27° to 60° (where 90° is vertical). These simulations are performed with the Los Alamos Rage hydrocode, and include atmospheric effects including ablation and airbursts. These oblique impact simulations are specifically performed in order to help determine whether there are additional dangers from the obliquity of impact not covered by previous two-dimensional studies. Water surface elevation profiles, surface pressures, and depth-averaged mass fluxes within the water are prepared for use in propagation studies
- Research Organization:
- Los Alamos National Laboratory (LANL), Los Alamos, NM (United States)
- Sponsoring Organization:
- National Aeronautic and Space Administration (NASA); USDOE National Nuclear Security Administration (NNSA)
- Grant/Contract Number:
- AC52-06NA25396
- OSTI ID:
- 1461396
- Alternate ID(s):
- OSTI ID: 1694322
- Report Number(s):
- LA-UR--17-25299
- Journal Information:
- Journal of Space Safety Engineering, Journal Name: Journal of Space Safety Engineering Journal Issue: 2 Vol. 5; ISSN 2468-8967
- Publisher:
- Association for the Advancement of Space Safety (IAASS) - ElsevierCopyright Statement
- Country of Publication:
- United States
- Language:
- English
Multivariate Pointwise Information-Driven Data Sampling and Visualization
|
journal | July 2019 |
| Multivariate Pointwise Information-Driven Data Sampling and Visualization | text | January 2019 |
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