A Novel Gaussian filter-based Pressure Correction Technique with Super Compact Scheme for Unsteady 3D Incompressible, Viscous Flows

TL;DR

This paper introduces a Gaussian filter-based pressure correction method combined with a super compact finite difference scheme to efficiently solve unsteady 3D incompressible viscous flows, reducing computational cost while maintaining high accuracy.

Contribution

It presents a novel pressure correction technique with a super compact scheme that enhances accuracy and efficiency in 3D fluid flow simulations, requiring fewer grid points and iterations.

Findings

High accuracy in 3D Burger's equation and cavity problems

Significant reduction in computational time

Excellent agreement with analytical and benchmark solutions

Abstract

This work deals with a novel Gaussian filter-based pressure correction technique with a super compact higher order finite difference scheme for solving unsteady three-dimensional (3D) incompressible, viscous flows. This pressure correction technique offers significant advantages in terms of optimizing computational time by taking minimum iterations to reach the required accuracy, making it highly efficient and cost-effective. Pressure fields often exhibit highly nonlinear behavior, and employing the Gaussian filter can help to enhance their reliability by reducing noise and uncertainties. On the other hand, the super compact scheme uses minimum grid points to produce second-order accuracy in time and fourth-order accuracy in space variables. The main focus of this study is to enhance the accuracy and efficiency and minimize the computational cost of solving complex fluid flow problems. The super compact scheme utilizes 19 grid points at the known time level (i.e., $n^{th}$ time level) and only seven grid points from the unknown time level (i.e., $n + 1$ time level). By employing the above strategies, it becomes possible to notably decrease computational expenses while maintaining the accuracy of the computational scheme for solving complex fluid flow problems. We have implemented our methodology across three distinct scenarios: the 3D Burger's equation having analytical solution, and two variations of the lid-driven cavity problem. The outcomes of our numerical simulations exhibit a remarkable concordance, aligning exceptionally well with both the analytical benchmarks and previously validated numerical findings for the cavity problems.