dc.contributor.advisor | Balakrishnan, N | |
dc.contributor.author | Singh, Manish Kumar | |
dc.date.accessioned | 2022-12-07T06:35:09Z | |
dc.date.available | 2022-12-07T06:35:09Z | |
dc.date.submitted | 2022 | |
dc.identifier.uri | https://etd.iisc.ac.in/handle/2005/5934 | |
dc.description.abstract | In the present work, an Implicit Gradient Reconstruction (IGR) method is proposed in the
context of Finite Volume Methodology (FVM). There are three computationally intensive steps
involved in a typical finite volume framework for a spatially second-order accurate upwind
scheme. These are solution reconstruction, solution limiting and flux finding. Solution re-
construction involves determination of gradients while solution limiting requires comparison
of double precision numbers. Further, computation of gradient and solution limiting is cell
based procedure while flux finding is edge/face based procedure. The proposed IGR procedure,
which is edge/face based procedure, integrates all these steps obviating explicit reconstruction
and limiting steps resulting in a considerable reduction in computational effort and associated
memory footprint.
In the modified CIR (MCIR) scheme of linear convection equation, a parameter φ is in-
troduced to control dissipation. The IGR procedure is derived from the MCIR scheme. The
relation between the φ parameter and solution reconstruction in a finite volume procedure is
systematically established. The methodology is extended to multidimensions, where the use of
φ implicitly represents a reconstruction step. Hence, this procedure is referred to as Implicit
Gradient Reconstruction. In addition, it is brought out that the use of φ also serves the purpose
of solution limiting. The spatial accuracy of this procedure is demonstrated by computing the
2-D circular convection problem.
The methodology, when extended to the Euler equations of Gas dynamics, results in the
reconstruction of the characteristic variables. Consequently, three steps in the computation of
explicit residual, namely, solution reconstruction, limiting and flux computation, are seamlessly
merged into a single step. Owing to its significantly smaller memory footprint, the procedure
is particularly relevant to large scale parallel computing. This procedure can be effortlessly
incorporated into any of the existing finite volume solvers where inviscid flux formulation is
based on characteristic decomposition. The capability of IGR procedure is established through
several test cases involving inviscid and viscous flow computations in one and two dimensions.
The results obtained from IGR procedure are compared with reconstruction based solvers and wind tunnel data wherever available. The IGR procedure produces results comparable to the
classical reconstruction based procedure.
The aforementioned IGR procedure is applicable to any flux formulation involving charac-
teristic decomposition. An Edge Based Reconstruction Limiting (EBRL) is proposed for flux
formulation not involving characteristic decomposition. This procedure is very simple and does
not require classical diamond path reconstruction. The results obtained from EBRL based Roe
and AUSM Plus flux formulation on transonic viscous flow over RAE 2822 airfoil are very good
and compare well with wind tunnel experiments. | en_US |
dc.language.iso | en_US | en_US |
dc.rights | I grant Indian Institute of Science the right to archive and to make available my thesis or dissertation in whole or in part in all forms of media, now hereafter known. I retain all proprietary rights, such as patent rights. I also retain the right to use in future works (such as articles or books) all or part
of this thesis or dissertation | en_US |
dc.subject | Implicit gradient reconstruction, | en_US |
dc.subject | finite volume | en_US |
dc.subject | CFD | en_US |
dc.subject | upwind scheme | en_US |
dc.subject.classification | Research Subject Categories::TECHNOLOGY::Engineering mechanics::Other engineering mechanics | en_US |
dc.title | Implicit Gradient Reconstruction for Unstructured Mesh Finite Volume Method | en_US |
dc.type | Thesis | en_US |
dc.degree.name | PhD | en_US |
dc.degree.level | Doctoral | en_US |
dc.degree.grantor | Indian Institute of Science | en_US |
dc.degree.discipline | Engineering | en_US |