Comparative Evaluation of Vorticity Transport Modeled Distortions and High-Fidelity ANSYS Solutions Using Modal Assurance Criterion
dc.contributor.author | Eagan, William John | en |
dc.contributor.committeechair | Lowe, Kevin T. | en |
dc.contributor.committeemember | Roy, Christopher John | en |
dc.contributor.committeemember | Gonzales, Joseph Paul | en |
dc.contributor.committeemember | Untaroiu, Alexandrina | en |
dc.contributor.department | Aerospace and Ocean Engineering | en |
dc.date.accessioned | 2025-06-03T08:09:00Z | en |
dc.date.available | 2025-06-03T08:09:00Z | en |
dc.date.issued | 2025-06-02 | en |
dc.description.abstract | Swirl of any magnitude present at the AIP has been shown to have the potential to drastically impact the performance of fan-based propulsion systems. This work presents the evaluation of a vorticity transport based reduced order model (ROM) in comparison to similar data created through Ansys CFX simulation for three canonical swirl flow profiles: Bulk Swirl, Twin Swirl, and Quad Swirl. Modal decomposition through singular value decomposition (SVD) is performed on the resulting in-plane velocity profiles for both the ROM and high-fidelity RANS simulations. The accuracy of the ROM is assessed through both conventional error analyses and a novel-energy-weighted modal assurance criterion (MAC) methodology. The MAC based error methodology is proposed to distinguish ROM performance across dominant and minimally contribution mode content. The results and conclusions for this research effort show through conventional L1 error analysis a growth of absolute error with respect to propagation distance. However, the effectiveness of the ROM across dominant low wavenumber flow features with near perfect MAC agreement (MAC = 1.0) is simultaneously observed. Further MAC analysis of the high wavenumber modes shows a reduction in modal matching as wave number increases suggesting the ROM's sensitivity to viscous effects. | en |
dc.description.abstractgeneral | Understanding how air is flowing into a jet engine is critical for ensuring efficient and consistent aircraft performance. The demand for enhanced capabilities in both commercial and military next-generation flight systems is trending towards the development of compact and embedded propulsion systems. A result of these types of propulsion systems is the development of non-uniform airflow entering the engine system which can drastically impact engine performance. Simplified airflow models termed "Reduced Order Models" can be developed to quickly and efficiently evaluate the impact of these non-uniform flow conditions may have on overall performance. This study compares the performance of a simple reduced order model to similar data created through high accuracy Ansys CFX simulation results. The cases evaluated are three distinct and commonly occurring flow cases, the Bulk Swirl, Twin Swirl, and Quad Swirl. Results of this study show the reduced order model compares well to the simulation results when considering the large flow features but begins to diverge from the simulation data when considering the small-scale flow features. This effect is further amplified when considering simulations over increased distantness, increased vorticity, and when profiles exhibit asymmetry. | en |
dc.description.degree | Master of Science | en |
dc.format.medium | ETD | en |
dc.identifier.other | vt_gsexam:43857 | en |
dc.identifier.uri | https://hdl.handle.net/10919/135013 | en |
dc.language.iso | en | en |
dc.publisher | Virginia Tech | en |
dc.rights | Creative Commons Attribution 4.0 International | en |
dc.rights.uri | http://creativecommons.org/licenses/by/4.0/ | en |
dc.subject | Swirl Distortion | en |
dc.subject | Singular Value Decomposition (SVD) | en |
dc.subject | Modal Assurance Criterion (MAC) | en |
dc.title | Comparative Evaluation of Vorticity Transport Modeled Distortions and High-Fidelity ANSYS Solutions Using Modal Assurance Criterion | en |
dc.type | Thesis | en |
thesis.degree.discipline | Aerospace Engineering | en |
thesis.degree.grantor | Virginia Polytechnic Institute and State University | en |
thesis.degree.level | masters | en |
thesis.degree.name | Master of Science | en |
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