High-accuracy numerical solver for the Eikonal equation

An introduction to the Eikonal equation and its applications in Physics as well as the Earth Sciences is provided, followed by two derivations of the Eikonal equation. Proofs of existence and uniqueness to the Eikonal equation initial value problem are provided. The Fast Sweeping Method (FSM) is the...

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Main Author: Guo, Jin Long
Other Authors: Tong Ping
Format: Final Year Project
Language:English
Published: Nanyang Technological University 2021
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Online Access:https://hdl.handle.net/10356/148484
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Institution: Nanyang Technological University
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spelling sg-ntu-dr.10356-1484842023-02-28T23:14:51Z High-accuracy numerical solver for the Eikonal equation Guo, Jin Long Tong Ping School of Physical and Mathematical Sciences tongping@ntu.edu.sg Science::Mathematics::Applied mathematics An introduction to the Eikonal equation and its applications in Physics as well as the Earth Sciences is provided, followed by two derivations of the Eikonal equation. Proofs of existence and uniqueness to the Eikonal equation initial value problem are provided. The Fast Sweeping Method (FSM) is then introduced in detail and run on two dimensional Cartesian coordinates. The numerical results are compared again analytic results and its accuracy is evaluated using percentage relative error. Relative error was found to be reduced by decreasing grid size. The FSM algorithm was also run on three dimensional spherical coordinates as well as Cartesian coordinates using parallel computing techniques. FSM was also implemented on two dimensional Cartesian domain triangulated with acute triangles. In all cases, it was shown that the FSM convergerd quickly after minimal iterations and approximated the actual solution to Eikonal equations to which the analytical solution is known to a high degree of accuracy. Furthermore, it was found that parallel computing techniques greatly improved computing efficiency by reducing convergence time. Some limitations of this project include the type of grid used to discretise the computational domain as well as the type of source used to initialise the Eikonal equation. It is recommended that future projects experiment with adaptive meshes and also possibly linear sources (instead of point sources) which often arise in the field of Seismology. Bachelor of Science in Mathematical Sciences 2021-04-28T01:55:28Z 2021-04-28T01:55:28Z 2021 Final Year Project (FYP) Guo, J. L. (2021). High-accuracy numerical solver for the Eikonal equation. Final Year Project (FYP), Nanyang Technological University, Singapore. https://hdl.handle.net/10356/148484 https://hdl.handle.net/10356/148484 en application/pdf Nanyang Technological University
institution Nanyang Technological University
building NTU Library
continent Asia
country Singapore
Singapore
content_provider NTU Library
collection DR-NTU
language English
topic Science::Mathematics::Applied mathematics
spellingShingle Science::Mathematics::Applied mathematics
Guo, Jin Long
High-accuracy numerical solver for the Eikonal equation
description An introduction to the Eikonal equation and its applications in Physics as well as the Earth Sciences is provided, followed by two derivations of the Eikonal equation. Proofs of existence and uniqueness to the Eikonal equation initial value problem are provided. The Fast Sweeping Method (FSM) is then introduced in detail and run on two dimensional Cartesian coordinates. The numerical results are compared again analytic results and its accuracy is evaluated using percentage relative error. Relative error was found to be reduced by decreasing grid size. The FSM algorithm was also run on three dimensional spherical coordinates as well as Cartesian coordinates using parallel computing techniques. FSM was also implemented on two dimensional Cartesian domain triangulated with acute triangles. In all cases, it was shown that the FSM convergerd quickly after minimal iterations and approximated the actual solution to Eikonal equations to which the analytical solution is known to a high degree of accuracy. Furthermore, it was found that parallel computing techniques greatly improved computing efficiency by reducing convergence time. Some limitations of this project include the type of grid used to discretise the computational domain as well as the type of source used to initialise the Eikonal equation. It is recommended that future projects experiment with adaptive meshes and also possibly linear sources (instead of point sources) which often arise in the field of Seismology.
author2 Tong Ping
author_facet Tong Ping
Guo, Jin Long
format Final Year Project
author Guo, Jin Long
author_sort Guo, Jin Long
title High-accuracy numerical solver for the Eikonal equation
title_short High-accuracy numerical solver for the Eikonal equation
title_full High-accuracy numerical solver for the Eikonal equation
title_fullStr High-accuracy numerical solver for the Eikonal equation
title_full_unstemmed High-accuracy numerical solver for the Eikonal equation
title_sort high-accuracy numerical solver for the eikonal equation
publisher Nanyang Technological University
publishDate 2021
url https://hdl.handle.net/10356/148484
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