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High-order accurate entropy stable numercial schemes for hyperbolic conservation laws PDF

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ETH Library High-order accurate entropy stable numercial schemes for hyperbolic conservation laws Doctoral Thesis Author(s): Fjordholm, Ulrik Skre Publication date: 2013 Permanent link: https://doi.org/10.3929/ethz-a-007622508 Rights / license: In Copyright - Non-Commercial Use Permitted This page was generated automatically upon download from the ETH Zurich Research Collection. For more information, please consult the Terms of use. Diss. ETHNo. 21025 HIGH-ORDERACCURATEENTROPYSTABLENUMERICAL SCHEMESFORHYPERBOLICCONSERVATIONLAWS Adissertationsubmittedto ETHZU¨RICH forthedegreeof DoctorofSciences presentedby ULRIKSKREFJORDHOLM M.Sc.ComputationalScienceandEngineering,UniversityofOslo born1December1985 citizenofNorway acceptedontherecommendationof Prof. Dr. SiddharthaMishra,ETHZu¨rich,examiner Prof. Dr. EitanTadmor,UniversityofMaryland,co-examiner Prof. Dr. Chi-WangShu,BrownUniversity,co-examiner 2013 ISBN 978-3-906031-29-3 DOI 10.3929/ethz-a-007622508 Abstract Theroleofentropyforthestabilityofhyperbolicconservationlawsiswell-understood, andtosomeextent,alsoforfirst-andsecond-orderaccuratenumericalschemes.Thestability of higher-order accurate schemes, however, is to a large degree an open problem. In this thesisweadopttheframeworkofentropystabilityasadesignprinciple.Wecombineentropy conservative fluxes with appropriate diffusion operators, and to obtain high order accuracy, weconsiderdiffusionoperatorsusingtheENOreconstructionprocedure. Weshowthatthe ENO procedure satisfies the so-called sign property, which ensures entropy stability of our (arbitrarily)high-orderaccuratefinitedifferencescheme. Moreover,weposeandarguefora conjectureonthetotalvariationoftheENOreconstruction,whichwouldimplyaweaktotal variation bound for our scheme. For hyperbolic systems, the reconstruction is performed using a novel, computationally efficient characteristic-wise decomposition. The scheme is easilygeneralizedtomulti-dimensionalsystemsonCartesianmeshes. Tostudytheconvergencepropertiesofourschemeforscalarequations,weconsiderthe framework of compensated compactness. Under the assumption that our conjecture on the totalvariationboundofENOholds,weproveconvergencetotheentropysolution.Formulti- dimensional hyperbolic systems we are able to prove convergence to an entropy measure- valuedsolution. Therobustness, accuracyandcomputationalefficiencyoftheschemearedemonstrated inaseriesofnumericalexperiments. iii Zusammenfassung Die Rolle der Entropie fu¨r die Stabilita¨t hyperbolischer Differentialgleichungen ist gut verstanden. Dies gilt teilweise auch fu¨r numerische Verfahren erster und zweiter Ordnung. DieStabilita¨tvonVerfahrenho¨hererOrdnungistjedocheinoffenesProblem. IndieserDis- sertationwirdEntropiestabilita¨talsGestaltungsprinzipverwendet.Wirkombinierenentropie- erhaltendeFlu¨ssemitgeeignetenDiffusionsoperatoren. UmeinehoheOrdnungzuerhalten, benutzen wir Diffusionsoperatoren basierend auf dem ENO-Rekonstruktionsverfahren. Wir zeigen,dassdasENO-VerfahrenvorzeichenerhaltendistundsomitEntropiestabilita¨tunseres Verfahrensbei(beliebig)hoherOrdnunggilt. ZudemstellenwireineVermutungu¨berdieto- taleVariationderENO-Verfahrenauf,dieeineschwacheobereSchrankedertotalenVariation unserer Methode darstellen wu¨rde. Fu¨r hyperbolische Systeme rekonstruieren wir die En- tropievariablen mittels einer neuen, effizienten Zerlegung, basierend auf den Eigenvektoren des Diffusionsoperators. Das Verfahren la¨sst sich leicht auf mehrdimensionale, kartesische Gitterverallgemeinern. Der Zugang u¨ber kompensierte Kompaktheit wird benutzt, um die Konvergenzeigen- schaftenunsererMethodefu¨rskalareGleichungenzuuntersuchen. UnterderAnnahmeder obigen Vermutung zeigen wir Konvergenz des Verfahrens zur Entropielo¨sung. Fu¨r mehr- dimensionalehyperbolischeSystemebeweisenwirKonvergenzzueinermasswertigenEntropie- lo¨sung. Die Robustheit, Genauigkeit und Effizienz der Verfahren werden in verschiedenen nu- merischenExperimentendemonstriert. v Acknowledgements Ofallthepeoplewhohavehelpedmethroughthepast3.5years,Iwishtomentionthreein particular. First, IamverygratefultoSidharthMishraforallthathehastaughtmeandfor alwayshavingtimeforadiscussion,math-relatedornot. Second, IthankEitanTadmorforgenerouslysharingfromhisimmenseexperience, forhis keeninterestandenthusiasm,andforhiswarmhospitalityinMaryland. Finally, thank you, Ingeborg, for your immense patience with me. Your support has meant moretomethanIamabletoconveyhere. vii Contents Abstract iii Zusammenfassung v Acknowledgements vii Introduction xi Notation xiv Chapter1. Hyperbolicconservationlaws 1 1.1. Basicnotionsandexamples 1 1.2. Entropypairsandtheentropycondition 5 1.3. Existenceanduniquenessforscalarconservationlaws 9 1.4. Compensatedcompactness 10 1.5. Existenceanduniquenessforsystemsofconservationlaws 13 1.6. Measure-valuedsolutions 13 1.7. Summaryandoutlook 14 Chapter2. Entropystablemethodsoffirstorder 17 2.1. Finitevolumeandfinitedifferencemethods 18 2.2. Entropyconservativeandentropystablemethods 18 2.3. Entropystablemethodsforscalarequations 21 2.4. Entropyconservativeschemesforsystems 23 2.5. Entropystableschemesforsystems 25 2.6. Summary 27 Chapter3. Convergencetheoryforfinitevolumemethods 29 3.1. Strongconvergenceoffinitevolumeschemes 30 3.2. Multi-dimensionalmeasure-valuedsolutionsofsystems 34 3.3. Convergenceofentropystablemethods 38 Chapter4. Higher-orderaccurateentropystablemethods 39 4.1. High-orderentropyconservativemethods 39 4.2. High-orderentropystablemethodsforscalarequations: theELWscheme 40 ix

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The role of entropy for the stability of hyperbolic conservation laws is well-understood, and to some Die Stabilität von Verfahren höherer Ordnung ist jedoch ein offenes Problem. Convergence theory for finite volume methods. 29.
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