Relevant bibliographies by topics / LSFD-U Solver

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Book chapters
  4. Conference papers

Academic literature on the topic 'LSFD-U Solver'

Author: Grafiati
Published: 6 September 2023

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Journal articles on the topic "LSFD-U Solver"

1

Yousuf, Mohamed, and N. Balakrishnan. "Residual-Based Grid Adaptation for Meshless LSFD-U Solver." AIAA Journal 57, no. 4 (2019): 1649–58. http://dx.doi.org/10.2514/1.j057633.

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2

Munikrishna, N., and N. Balakrishnan. "Turbulent flow computations on a hybrid cartesian point distribution using meshless solver LSFD-U." Computers & Fluids 40, no. 1 (2011): 118–38. http://dx.doi.org/10.1016/j.compfluid.2010.08.017.

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Dissertations / Theses on the topic "LSFD-U Solver"

1

Yousuf, Mohamed Amali Uthuman. "Automated Meshless CFD Process using Cartesian Point Distribution." Thesis, 2020. https://etd.iisc.ac.in/handle/2005/4398.

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The thesis deals with the meshless methods based on generalized finite difference procedure operating on the mere distribution of points. The work per se focuses on maturing the meshless LSFD-U solver as a standard industrial tool for Aerospace CFD. One of the purported advantages of this class of methods as opposed to finite- volume methods is that they can considerably ease the need for generating grids. This aspect has been truly exploited in this thesis by projecting the meshless LSFD-U solver as a Cartesian grid methodology. The point distribution required by the LSFD-U solver is obt
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2

Munikrishna, N. "On Viscous Flux Discretization Procedures For Finite Volume And Meshless Solvers." Thesis, 2007. https://etd.iisc.ac.in/handle/2005/471.

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This work deals with discretizing viscous fluxes in the context of unstructured data based finite volume and meshless solvers, two competing methodologies for simulating viscous flows past complex industrial geometries. The two important requirements of a viscous discretization procedure are consistency and positivity. While consistency is a fundamental requirement, positivity is linked to the robustness of the solution methodology. The following advancements are made through this work within the finite volume and meshless frameworks. Finite Volume Method: Several viscous discretization proc
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3

Munikrishna, N. "On Viscous Flux Discretization Procedures For Finite Volume And Meshless Solvers." Thesis, 2007. http://hdl.handle.net/2005/471.

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This work deals with discretizing viscous fluxes in the context of unstructured data based finite volume and meshless solvers, two competing methodologies for simulating viscous flows past complex industrial geometries. The two important requirements of a viscous discretization procedure are consistency and positivity. While consistency is a fundamental requirement, positivity is linked to the robustness of the solution methodology. The following advancements are made through this work within the finite volume and meshless frameworks. Finite Volume Method: Several viscous discretization proce
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Book chapters on the topic "LSFD-U Solver"

1

Munikrishna, N., and N. Balakrishnan. "Computing Turbulent Flows Using Meshless Solver LSFD-U." In Computational Fluid Dynamics 2008. Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-642-01273-0_91.

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2

Khillare, Amol, Mohamed Yousuf, N. Munikrishna, and N. Balakrishnan. "Turbulent Flow Computations on a Hybrid Unstructured Point Distribution Using Meshless Solver LSFD-U." In Lecture Notes in Mechanical Engineering. Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-15-5183-3_32.

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Conference papers on the topic "LSFD-U Solver"

1

Narayanarao, Balakrishnan, and Yousuf Mohamed. "Residual based grid adaptation for meshless LSFD-U solver." In 23rd AIAA Computational Fluid Dynamics Conference. American Institute of Aeronautics and Astronautics, 2017. http://dx.doi.org/10.2514/6.2017-3104.

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2

Khillare, Amol U., Mohamed Yousuf, N. Munikrishna, and Balakrishnan Narayanarao. "Turbulent flow computations in three dimensions on a hybrid Cartesian point distribution using meshless solver LSFD - U." In 25th AIAA International Space Planes and Hypersonic Systems and Technologies Conference. American Institute of Aeronautics and Astronautics, 2023. http://dx.doi.org/10.2514/6.2023-3057.

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