Faster Method of Simulating Military Vehicles Exposed to Fragmenting Underbody IED Threats US Army

Format:

Conference/Event

Author/Creator:

Babu, Babu, author.

Contributor:

Ramalingam, Jaisankar

Thyagarajan, Ravi

Conference Name:

WCX 17: SAE World Congress Experience (2017-04-04 : Detroit, Michigan, United States)

Language:

English

Physical Description:

1 online resource

Place of Publication:

Warrendale, PA SAE International 2017

Summary:

AbstractIn this paper, the capability of three methods of modelling detonation of high explosives (HE) buried in soil viz., (1) coupled discrete element and particle gas methods (DEM-PGM) (2) Structured - Arbitrary Lagrangian-Eulerian (S-ALE), and (3) Arbitrary Lagrangian-Eulerian (ALE), are investigated. The ALE method of modeling the effects of buried charges in soil is well known and widely used in blast simulations today [1]. Due to high computational costs, inconsistent robustness and long run times, alternate modeling methods such as Smoothed Particle Hydrodynamics (SPH) [2, 9] and DEM are gaining more traction. In all these methods, accuracy of the analysis relies not only on the fidelity of the soil and high explosive models but also on the robustness of fluid-structure interaction. These high-fidelity models are also useful in generating fast running models (FRM) useful for rapid generation of blast simulation results of acceptable accuracy. The main focus of this study is to understand the limitations and strengths of DEM-PGM and S-ALE methods compared to the widely used traditional ALE method. S-ALE method reduces the computational time 45% compared to ALE and DEM-PGM method also reduces computational time 40% compared to ALE. DEM_PGM method has the ability to capture fragmentation and its secondary effects on soldiers and other interior structures. With the development of the DEM-PGM and S-ALE methods, predicting the effect of secondary impact of fragmenting objects in addition to the existing capabilities will be a significant value added to the military ground vehicle programs

Notes:

Vendor supplied data

Publisher Number:

2017-01-0264

Access Restriction:

Restricted for use by site license