Time-Adaptive Grid Hydrological Solver Using PETSc

Master Thesis (2020)
Author(s)

M.S. Babu Gheethaa (TU Delft - Electrical Engineering, Mathematics and Computer Science)

Contributor(s)

Domenico J.P. Lahaye – Mentor (TU Delft - Mathematical Physics)

M. Moller – Mentor (TU Delft - Numerical Analysis)

Chris Budd – Mentor (University of Bath)

Eelco Naarding – Mentor (SIM-CI Holding B.V.)

Faculty
Electrical Engineering, Mathematics and Computer Science
Copyright
© 2020 Mukkund Babu Gheethaa
More Info
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Publication Year
2020
Language
English
Copyright
© 2020 Mukkund Babu Gheethaa
Graduation Date
16-07-2020
Awarding Institution
Delft University of Technology
Sponsors
None
Related content

Online repository of the developed codes.

https://github.com/mukkund1996
Faculty
Electrical Engineering, Mathematics and Computer Science
Reuse Rights

Other than for strictly personal use, it is not permitted to download, forward or distribute the text or part of it, without the consent of the author(s) and/or copyright holder(s), unless the work is under an open content license such as Creative Commons.

Abstract

A high-resolution hydrological solver that solves on time-adaptive grids is created. The solver uses h-refinement strategies which adapts the resolution of the grid using a posteriori measure. It is based on an open-source scientific computing library named PETSc. With the use of highly scalable time-stepping solvers provided by PETSc, an optimised numerical model is obtained. Validation tests are conducted using dam-break scenarios and flow over humps. Strong scaling tests are conducted to test the scalability of the solver. The model is found to be robust and could thus provide accurate flood-forecasting information.

Files

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