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Author ORCID Identifier
https://orcid.org/0000-0003-0876-7903
AccessType
Open Access Dissertation
Document Type
dissertation
Degree Name
Doctor of Philosophy (PhD)
Degree Program
Mechanical Engineering
Year Degree Awarded
2024
Month Degree Awarded
February
First Advisor
Suyue Han
Subject Categories
Acoustics, Dynamics, and Controls | Biomechanical Engineering | Computer-Aided Engineering and Design
Abstract
In biological systems, there are numerous instances when structures interact with or are exposed to fluid flow, such as swimming microorganisms, blood flow in arteries and veins, airflow in the respiratory system and more. Detailed Computational Fluid Dynamics (CFD) simulations that capture the intricacies of fluid dynamics or Fluid-Structure Interactions (FSI) provide valuable insights for comprehending the functionality and dynamics of these biological systems, and can assist in the design of medical devices and biomimetic robots or aid in surgical treatment planning. However, because of the complexity of biological systems, simulating them often requires significant computational resources and a profound understanding of their physical and physiological properties. Despite the development of numerous numerical and computational methods, computational simulation of such biological systems still presents several challenges, including high computational cost, a lack of experimental validations and complexities in modeling Fluid-Structure Interactions. This work offers an exploration to these challenges. We first explore the method of building a computationally efficient Reduced Order Model (ROM) based on snapshot Proper Orthogonal Decomposition (POD) method for flow inside a patient-specific aneurysm model generated from a patient’s brain CT scan. The developed ROM is capable of generating accurate simulation results rapidly, which makes the hemodynamics parametric studies over a wide range of boundary conditions feasible. We then explore the method to visualize the flow inside a bone-like scaffold using Phase Contrast Magnetic Resonance Imaging (PC-MRI), in order to validate computational simulations that have been used for studying the flow behavior inside bone-like scaffold models. Finally, we explore the method of building a partitioned parallel implicit FSI framework that could handle flexible structures that are strongly coupled with the fluid environment and undergo large deformations. The developed FSI framework is first utilized to study the possibility of controlling the response of a flexible slender beam in the wake of a cylinder by forcing the cylinder to rotate periodically. This FSI framework is then utilized to study the instantaneous response of a highly flexible half sphere (emulating biological systems) that interacts with the incoming flow and oscillates with large amplitudes.
DOI
https://doi.org/10.7275/36554892
Recommended Citation
Han, Suyue, "COMPUTATIONAL FLUID DYNAMICS SIMULATIONS AND REDUCED ORDER MODELING OF MULTI-PHYSICS BIOLOGICAL SYSTEMS" (2024). Doctoral Dissertations. 3055.
https://doi.org/10.7275/36554892
https://scholarworks.umass.edu/dissertations_2/3055
Creative Commons License
This work is licensed under a Creative Commons Attribution-Noncommercial-Share Alike 4.0 License.
Included in
Acoustics, Dynamics, and Controls Commons, Biomechanical Engineering Commons, Computer-Aided Engineering and Design Commons