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Duke University

Adaptive Discontinuous Galerkin Methods Applied to Multiscale & Multiphysics Problems towards Large-scale Modeling & Joint Imaging

Abstract

dc:description.abstract

<p>Advanced numerical algorithms should be amenable to the scalability in the increasingly powerful supercomputer architectures, the adaptivity in the intricately multi-scale engineering problems, the efficiency in the extremely large-scale wave simulations, and the stability in the dynamically multi-phase coupling interfaces. </p><p>In this study, I will present a multi-scale \& multi-physics 3D wave propagation simulator to tackle these grand scientific challenges. This simulator is based on a unified high-order discontinuous Galerkin (DG) method, with adaptive nonconformal meshes, for efficient wave propagation modeling. This algorithm is compatible with a diverse portfolio of real-world geophysical/biomedical applications, ranging from longstanding tough problems: such as arbitrary anisotropic elastic/electromagnetic materials, viscoelastic materials, poroelastic materials, piezoelectric materials, and fluid-solid coupling, to recent challenging topics: such as fracture-wave interactions. </p><p>Meanwhile, I will also present some important theoretical improvements. Especially, I will show innovative Riemann solvers, inspired by physical meanings, in a unified mathematical framework, which are the key to guaranteeing the stability and accuracy of the DG methods and domain decomposition methods.</p>

Author and committee

dc:creator, dc:contributor.*
Author dc:creator
  • Zhan, Qiwei
Advisor dc:contributor.advisor
  • Liu, Qing Huo

Subjects

dc:subject × 9

Identifiers

dc:identifier.*
Handle dc:identifier.uri
https://hdl.handle.net/10161/18679
OAI identifier oai:identifier
oai:dukespace.lib.duke.edu:10161/18679

Chain of custody

source
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Duke University
Base URL
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Last updated
2026-07-24
Source record
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citation

Zhan, Qiwei. Adaptive Discontinuous Galerkin Methods Applied to Multiscale & Multiphysics Problems towards Large-scale Modeling & Joint Imaging. 2019. https://hdl.handle.net/10161/18679