Jonathan Gitzendanner

About

celeste

Timeline

2024-Present

PhD Student, University of Oregon

Electromagnetic Signatures of Compressible Granular Jets

Using numerical methods and shock tube experiements to understand the electromagnetic fields resulting from charged particles in a high-speed flow. These flows are common in particularly explosive volcanic eruptions such as the 2022 Hunga-Tonga eruption.

2024

Hypersonic Aerothermal Analysis

2023-2024

Wings Subsystem lead

Distributed Electric Propulsion – Senior Design Project

Our team of seven Mechanical & Aerospace Engineering seniors is designing, building, and flying a subscale Uncrewed Aerial Vehicle (UAV) using Distributed Electric Propulsion (DEP). I was elected to lead the development and manufacturing of the aircraft’s wings, a process that has involved extensive computational modeling in Star CCM+ and XFLR5.

2023

University of Florida

Multiphase Reactive Flow Group

With Dr. Ryan Houim, I investigated the use of Symbolic Regression to discover a sparse relationship for speed of sound in a compressible polydisperse granular phase

2021-present

Computational Biomechanics Lab

With Dr. Luigi Perotti, I am investigating the effect that a small boat’s asymmetry has on it’s total drag and planing characterisitcs. We are using a multiphase model with two allowed degrees of freedom to capture the translation and rotation from the hydrodynamic forces.

2021-2022

Head of Aerodynamics

Knights Racing Formula SAE Team

Elected by the team as Head of Aerodynamics in May of 2021 to lead the development, manufacturing, and testing of all aerodynamic components on UCF’s student built race car. Testing involved extensive computational simulations using Star CCM+ and was roughly validated through tuft flow visualization.

2020-2021

Computational Fluid & Aerodynamics Lab

With Dr. Michael Kinzel, I started using and understanding Computational Fluid Dynamics (CFD) software Star CCM+. Eventually began studying automotive aerodynamics and working with 4th year undergraduate student Andy Torres on data driven approaches to fluid dynamics.