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Shaaban Abdallah

Researcher at University of Cincinnati

Publications -  77
Citations -  877

Shaaban Abdallah is an academic researcher from University of Cincinnati. The author has contributed to research in topics: Navier–Stokes equations & Continuity equation. The author has an hindex of 13, co-authored 69 publications receiving 773 citations. Previous affiliations of Shaaban Abdallah include Pennsylvania State University.

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Numerical solutions for the pressure poisson equation with Neumann boundary conditions using a non-staggered grid, 1

TL;DR: In this paper, a non-staggered grid for the pressure Poisson equation with Neumann boundary conditions is proposed. But the existence of a solution for this equation requires the satisfaction of a compatibility condition which relates the source of the Poisson equations and the Neumann boundaries.
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Numerical study of two-bucket Savonius wind turbine cluster

TL;DR: In this article, the authors developed a multi-turbine cluster for construction of efficient patterned vertical axis wind turbine farms, where numerical solutions were performed for a single Savonius turbine, clusters of two turbines in parallel and oblique positions and triangular clusters of three turbines facing the wind forward and backward.
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The discrete continuity equation in primitive variable solutions of incompressible flow

TL;DR: In this article, a non-staggered computational grid for the numerical solutions of the incompressible flow equations has been proposed, which has many advantages over the use of a staggered grid.
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Numerical solutions for the incompressible Navier-Stokes equations in primitive variables using a non-staggered grid, 11

TL;DR: In this paper, a method was developed for the solution of the pressure Poisson equation, with Neumann boundary conditions, on a non-staggered grid, using primitive variables.
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Cumulative spinal loading exposure methods for manual material handling tasks. Part 2: methodological issues and applicability for use in epidemiological studies

TL;DR: There is a pressing need for integrated spinal loading methods that are reliable, valid and practical for use in large occupational epidemiological studies, as well as improving the ability to use cumulative load to predict risk of low back disorders due to manual material handling.