Optimization of the Navy’s three-dimensional mine impact burial prediction simulation model, Impact35, using high-order numerical methods

Athanasios Donas, Ioannis Famelis, Peter C Chu and George Galanis

The Journal of Defense Modeling and Simulation, 2023, vol. 20, issue 2, 197-212

Abstract: The aim of this paper is to present an application of high-order numerical analysis methods to a simulation system that models the movement of a cylindrical-shaped object (mine, projectile, etc.) in a marine environment and in general in fluids with important applications in Naval operations. More specifically, an alternative methodology is proposed for the dynamics of the Navy’s three-dimensional mine impact burial prediction model, Impact35/vortex, based on the Dormand–Prince Runge–Kutta fifth-order and the singly diagonally implicit Runge–Kutta fifth-order methods. The main aim is to improve the time efficiency of the system, while keeping the deviation levels of the final results, derived from the standard and the proposed methodology, low.

Keywords: Navy’s three-dimensional mine impact burial prediction model/vortex model; Dormand–Prince method; singly diagonally implicit Runge–Kutta method (search for similar items in EconPapers)
Date: 2023
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Persistent link: https://EconPapers.repec.org/RePEc:sae:joudef:v:20:y:2023:i:2:p:197-212

DOI: 10.1177/15485129211028661

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