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MAT 799, Dissertation Study in the Concentration of Computational Mathematics

Modeling Study and Numerical Methodology for Unsteady Interface Problems and Fluid-Structure Interaction (FSI) Problems

Spring 2026

(01/20/2026-05/09/2026)

 


 

Time and Venue: MW 10:00AM - 12:30PM, SEB-3265 
Advisor: Dr. Pengtao Sun
Email: pengtao.sun@unlv.edu
URL: http://faculty.unlv.edu/sun
Phone: (702) 895-5175

 


COURSE DESCRIPTION: This dissertation study topic aims at the modeling and advanced numerical methodology studies for fluid-structure interaction (FSI) problems. Incompressible fluid flow modeled by the dynamic Navier-Stokes equations in Eulerian description, and compressible elastic structure modeled by the dynamic mechanical equation in Lagrangian description together with the structural constitutive laws are coupled through some appropriately proposed boundary conditions on the moving interfaces of fluid and structure, forming a monolithic model system of FSI. In terms of mesh conformity through the fluid-structure interfaces, numerical methodologies to tackle FSI model comprise the arbitrary Lagrangian-Eulerian (ALE) method (conforming mesh), fictitious domain method (nonconforming mesh), and full Eulerian method with phase field model, level set model (single mesh), and etc. Mixed finite element method, upwind-finite volume method, Galerkin-least-square method and streamline diffusion method are the main numerical techniques for discretizing and stabilizing the induced saddle-point type weak formulations of FSI problems. The other classification of  numerical methodology for FSI simulation is based upon the solution strategy for the derived discretization scheme, termed as partitioned method if fluid and structure equation are separately computed within an alternating iteration cycle and communicate with each other through the interface transmission condition, and as monolithic method if both fluid and structure equations are computed together within a saddle-point system where the interface conditions are built into the discretization spaces. Depending on the academic progress and practical situation of the graduate students, some of the above numerical methods will be appropriately chosen to investigate for their dissertation studies.

Reference materials and lecture notes will be distributed in the class.


COURSE PROJECT: The graduate students will complete an intensive study of the FSI problems on the aspects of both modeling and numerical methodology, where, modeling study includes Navier-Stokes equations, constitutive relations for the linear elasticity problem, and conservation laws.  Numerical study comprises certain types of numerical techniques in terms of different classification, such as arbitrary Lagrangian-Eulerian method and fictitious domain method, or monolithic method and partitioned method. Graduate students will critically examine these advanced numerical methods and their applications to a general FSI model. Special attention will be given to the algorithm design and analysis of  the efficient and robust numerical technique in order to overcome some particular but significant situations existing in FSI applications, e.g., when the structure is deforming, rotating and translating, at the same time, interacting with the surrounding fluid flow.


COURSE OBJECTIVES: Upon completion of this course, the graduate student will:

  • Develop and pursue a unique study question through substantial, legitimate research that fosters focus and flexibility.
  • Maintain a research note documenting work and sources.
  • Gain a thorough understanding of the topic through investigation and discussion of modeling and numerical studies, such as conservation laws, monolithic FSI model and the associated scientific and engineering computing.
  • Contribute original scholarship of the topic, including developing a source code and summary of previous work.
  • Prepare an article based on work for submission to a conference or journal.

INSTRUCTIONAL METHODS AND LEARNING: This is the dissertation study utilizing extensive readings, intensive research, and experiential learning. Questions, observations and computer programming are strongly required.


COURSE PARTICIPATION AND ATTENDANCE: Expect to meet weekly with the advisor for discussion, advising, and constructive criticism. However, the graduate student is personally responsible for the development and progress of the project. Meetings can be held semiweekly if necessary or desired. Contact via email and phone is encouraged.


GRADE DETERMINATION: Regular attendance and participation in meetings is required and essential for success. If special circumstances arise, the graduate student must contact the advisor as soon as possible.

The final grade is determined by the graduate student's adherence and development of a research note, a paper of the findings and analysis (10-15 pages), and attendance and participation including regular progress of the project. Grades are ultimately at the discretion of the advisor.

Paper = 50%
Research note = 30%
Attendance and participation = 20%


ACADEMIC INTEGRITY:

Academic integrity is the pursuit of scholarly activity in an open, honest and responsible manner. Academic integrity is a basic guiding principle for all academic activity at University of Nevada, Las Vegas, and all members of the University community are expected to act in accordance with this principle. Consistent with this expectation, the University's Code of Conduct states that all students should act with personal integrity, respect other students' dignity, rights and property, and help create and maintain an environment in which all can succeed through the fruits of their efforts.

Academic integrity includes a commitment not to engage in or tolerate acts of falsification, misrepresentation or deception. Such acts of dishonesty violate the fundamental ethical principles of the University community and compromise the worth of work completed by others. Based on the University's Student Academic Misconduct Policy, a range of academic sanctions may be taken against a student who engages in academic dishonesty.

 


DISCLAIMER: The advisor reserves the right to make verbal or written changes to the syllabus at any time. All changes and exceptions are at the advisor’s discretion.

Last updated: 12/04/2025

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