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Shanti Bhushan

Researcher at Mississippi State University

Publications -  82
Citations -  1155

Shanti Bhushan is an academic researcher from Mississippi State University. The author has contributed to research in topics: Turbulence & Reynolds-averaged Navier–Stokes equations. The author has an hindex of 15, co-authored 70 publications receiving 917 citations. Previous affiliations of Shanti Bhushan include Duke University & University of Iowa.

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Validation of OpenFOAM numerical methods and turbulence models for incompressible bluff body flows

TL;DR: A verification and validation study was performed using the open source computational fluid dynamics solver OpenFOAM version 2.0 for incompressible bluff body fluid flows, which shows mostly monotonic convergence with averaged grid uncertainty.
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Turn and zigzag maneuvers of a surface combatant using a URANS approach with dynamic overset grids

TL;DR: In this article, the URANS computations of standard maneuvers are performed for a surface combatant at model and full scale using CFDShip-Iowa v4, a free surface solver designed for 6DOF motions in free and semi-captive problems.
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Computational ship hydrodynamics: Nowadays and way forward

TL;DR: In this article, various modeling, numerical methods, and high performance computing approaches for computational ship hydrodynamics are evaluated thereby providing a vision for the development of the next-generation high-fidelity simulation tools.
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Model-and Full-Scale URANS Simulations of Athena Resistance, Powering, Seakeeping, and 5415 Maneuvering

TL;DR: In this paper, a two-point multilayer wall function is used to compute model and full-scale ship flows with wall roughness and pressure gradient effects, which is validated for smooth flat-plate flows at Reynolds numbers up to 10 9, and applied to the Athena R/V for resistance, propulsion, and seakeeping calculations and to fully appended DTMB 5415 for a maneuvering simulation.
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Investigation of a Dynamic Hybrid RANS/LES Modelling Methodology for Finite-Volume CFD Simulations

TL;DR: This paper investigates a recently proposed dynamic hybrid RANS-LES framework using a general-purpose finite-volume flow solver, allowing coupling of any selected RANS model with any selected LES model and containing no explicit grid dependence in its formulation.