Work place: Department of Mathematics, Veer Surendra Sai University of Technology, Burla, 768018, India
E-mail: aloknaik3737@gmail.com
Website:
Research Interests:
Biography
Alok Naik, Currently pursuing an Integrated M.Sc. in Mathematics (2021-2026) at Veer Surendra Sai University of Technology, Burla, India. His research interests include Machine Learning, Deep Learning Algorithms, Numerical Analysis, Data Science, Applied Mathematics and Differential Equations. He has successfully completed multiple research projects and internships. He has participated in several workshops and conferences.
By Alok Naik
DOI: https://doi.org/10.5815/ijmsc.2026.02.07, Pub. Date: 8 Jun. 2026
This dissertation presents a numerical investigation of the two-dimensional incompressible Navier-Stokes equations, focusing on the classic Lid-Driven Cavity problem. The study develops a computational fluid dynamics (CFD) solver from first principles using the Finite Difference Method (FDM) on a structured Cartesian grid, providing a funda- mental understanding of the pressure-velocity coupling in viscous flows. The numerical framework employs the Projec- tion Method, originally proposed by Chorin, to enforce the incompressibility constraint. This operator-splitting technique solves an intermediate velocity field which is subsequently projected onto a divergence-free space via a Pressure Poisson Equation (PPE). The governing equations are discretized using second-order central differences for spatial derivatives and a first-order explicit Euler scheme for time integration. The solver is validated at a Reynolds number of Re = 100. The simulation results successfully capture the characteristic flow features, including the primary central vortex and the corner recirculation eddies. Quantitative validation is performed by comparing the vertical centerline velocity profiles against the established benchmark data of Ghia et al. The results demonstrate excellent agreement with the benchmark solutions, confirming that the developed solver correctly resolves the physics of wall-bounded shear flows. This work establishes a robust foundational framework for simulating viscous incompressible flows and highlights the efficacy of the Projection Method for fundamental CFD applications.
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