<?xml version="1.0" encoding="UTF-8"?><?xml-stylesheet type="text/xsl" href="static/style.xsl"?><OAI-PMH xmlns="http://www.openarchives.org/OAI/2.0/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/ http://www.openarchives.org/OAI/2.0/OAI-PMH.xsd"><responseDate>2026-09-22T13:39:26Z</responseDate><request verb="GetRecord" identifier="oai:www.repository.cam.ac.uk:1810/386038" metadataPrefix="uketd_dc">https://api.repository.cam.ac.uk/server/oai/request</request><GetRecord><record><header><identifier>oai:www.repository.cam.ac.uk:1810/386038</identifier><datestamp>2025-07-02T00:42:58Z</datestamp><setSpec>com_1810_198332</setSpec><setSpec>com_1810_256064</setSpec><setSpec>col_1810_214775</setSpec></header><metadata><uketd_dc:uketddc xmlns:uketd_dc="http://naca.central.cranfield.ac.uk/ethos-oai/2.0/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:dcterms="http://purl.org/dc/terms/" xmlns:uketdterms="http://naca.central.cranfield.ac.uk/ethos-oai/terms/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns:doc="http://www.lyncode.com/xoai" xsi:schemaLocation="http://naca.central.cranfield.ac.uk/ethos-oai/2.0/ http://naca.central.cranfield.ac.uk/ethos-oai/2.0/uketd_dc.xsd">
   <dc:title>Next Generation Algorithms for Magnetically Confined Fusion Reactor Simulations</dc:title>
   <dc:identifier xsi:type="dcterms:DOI">https://doi.org/10.17863/CAM.119428</dc:identifier>
   <dc:creator>Farmakalides, Alexander</dc:creator>
   <uketdterms:advisor>Nikiforakis, Nikolaos</uketdterms:advisor>
   <dcterms:abstract>This work develops and implements advanced computational algorithms for whole-system
nuclear fusion reactor simulations, with a focus on predicting and understanding non-linear
MHD (magnetohydrodynamics) plasma instabilities and disruption events. The objective is
to model all reactor regions (plasma, quasi-vacuum, and containment vessel) within a single
three-dimensional simulation on a Cartesian reference frame, diverging from traditional
physics-driven mesh alignment methods. Key challenges include handling disparate length
and time scales, highly non-linear plasma dynamics, anisotropic behaviour, discretising
complex boundaries and material interfaces, preserving non-grid-aligned equilibria, ensuring
high-order accuracy, capturing shocks, and maintaining the divergence-free condition of
the magnetic field. Adaptive multi-grid solvers are used to compute steady-state plasma
equilibria, while sharp-interface finite volume methods resolve transient visco-resistive MHD
flows. High-order Godunov-type shock-capturing schemes and adaptive mesh refinement
enhance accuracy and efficiency for disparate scales and anisotropy, while ghost fluid methods
facilitate the discretisation of complex embedded boundaries. Magnetic divergence errors
are controlled through constrained transport and divergence-cleaning, and well-balancing
techniques are explored for the preservation of non-trivial non-grid-aligned equilibria. By
integrating these components into a unified Cartesian framework, this work enables MHD
simulations in complex geometries with realistic initial data and scalable parallel performance,
marking a significant advancement in tokamak fusion plasma modelling. Additionally, an
original semi-implicit numerical scheme is developed to treat the Alfvén and fast waves of
MHD implicitly, effectively removing the overly restrictive stability constraint imposed by
the CFL (Courant-Friedrichs-Lewy) condition in MHD simulations. Although this scheme
is not yet combined with the rest of the framework, it represents a significant step toward
improving the stability and efficiency of MHD simulations with the framework in future work.
The framework is validated against numerous MHD benchmark problems, both compressible
and incompressible, including various equilibrium configurations and visco-resistive test
cases. Realistic case-studies, including edge localised modes (ELMs) and violent disruption
events, highlight its effectiveness in simulating tokamak instabilities, providing accurate and
computationally efficient solutions alongside robust shock-capturing capabilities.</dcterms:abstract>
   <uketdterms:institution>University of Cambridge</uketdterms:institution>
   <dcterms:issued>2025-05-02</dcterms:issued>
   <dc:type>Thesis</dc:type>
   <uketdterms:qualificationlevel>Doctoral</uketdterms:qualificationlevel>
   <uketdterms:qualificationname>Doctor of Philosophy (PhD)</uketdterms:qualificationname>
   <uketdterms:sponsor>Tokamak Energy Ltd.</uketdterms:sponsor>
   <dcterms:isReferencedBy xsi:type="dcterms:URI">https://www.repository.cam.ac.uk/handle/1810/386038</dcterms:isReferencedBy>
   <dc:identifier xsi:type="dcterms:URI">https://apollo8-f-pro.lib.cam.ac.uk/bitstreams/93803521-30ec-4ca5-ba5a-fbe9a8a2f719/download</dc:identifier>
   <uketdterms:checksum xsi:type="uketdterms:MD5">8a256dfba9671227619ee916c40b6979</uketdterms:checksum>
   <dcterms:license>https://apollo8-f-pro.lib.cam.ac.uk/bitstreams/83ba58ec-17d0-4809-a4e7-c0f237ed48de/download</dcterms:license>
   <uketdterms:checksum xsi:type="uketdterms:MD5">87eda9de84448d1f82354d60eee3eb5f</uketdterms:checksum>
   <dc:rights>http://purl.org/NET/rdflicense/allrightsreserved</dc:rights>
   <dc:subject>Magnetohydrodynamics</dc:subject>
   <dc:subject>Plasma</dc:subject>
   <dc:subject>Plasma equilibrium</dc:subject>
   <dc:subject>Tokamak</dc:subject>
</uketd_dc:uketddc>
</metadata></record></GetRecord></OAI-PMH>