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Massachusetts Institute of Technology

High-Order and Wavelet-Adaptive Immersed Methods for PDEs on Complex Domain Geometries

Abstract

dc:description.abstract

The development of immersed methods brings a promising solution to the numerical simulation of interface-coupled multi-physics problems, such as multi-phase flows and fluidstructure interactions. This renders necessitates the design of novel high-order and efficient solvers based on immersed methods. This thesis examines two pivotal aspects of these methods: firstly, the acceleration of computational processes via adaptive resolution strategies; and secondly, the enhancement of accuracy order while sustaining numerical stability. To achieve the former, we develop a novel wavelet transform algorithm applicable to computational domains with arbitrary geometries. This wavelet transform maintains the order of the wavelet and serves as an indicator for local truncation error (LTE), resulting in an adaptive resolution strategy with explicit error control. To address the latter, we introduce a fifth-order upwind finite difference (FD) scheme that sustains numerical stability across any immersed interface discretization.

Degree

thesis:*
Name thesis:degree_name
Master
Department dc:contributor.department
Massachusetts Institute of Technology. Center for Computational Science and Engineering
Grantor dc:publisher
Massachusetts Institute of Technology
Year dc:date.issued
2025

Author and committee

dc:creator, dc:contributor.*
Author dc:creator
  • Shen, Changxiao Nigel
Advisor dc:contributor.advisor
  • Van Rees, Wim M.

Rights

dc:rights
Statement dc:rights
  • In Copyright - Educational Use Permitted
  • Copyright retained by author(s)

Identifiers

dc:identifier.*
Handle dc:identifier.uri
https://hdl.handle.net/1721.1/159943
OAI identifier oai:identifier
oai:dspace.mit.edu:1721.1/159943

Chain of custody

source
Harvested from
MIT
Base URL
dspace.mit.edu/oai/request
Last updated
2026-07-22
Source record
OAI-PMH GetRecord
related terms
citation

Shen, Changxiao Nigel. High-Order and Wavelet-Adaptive Immersed Methods for PDEs on Complex Domain Geometries. Massachusetts Institute of Technology, 2025. https://hdl.handle.net/1721.1/159943