{"680857":{"#nid":"680857","#data":{"type":"event","title":"PhD Defense by Hayden Valerie Dean","body":[{"value":"\u003Cp\u003E\u003Cstrong\u003EHayden Valerie Dean\u003C\/strong\u003E\u003Cbr\u003E\u003Cem\u003E[Advisor: Prof. Mavris]\u003C\/em\u003E\u003C\/p\u003E\u003Cp\u003E\u003Cem\u003EWill defend a doctoral thesis entitled,\u003C\/em\u003E\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003EA Reduced Order Modeling Methodology for Quantifying Entry Capsule Aerodynamics in Modeling and Simulation\u003C\/strong\u003E\u003C\/p\u003E\u003Cp\u003E\u003Cem\u003EOn\u003C\/em\u003E\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003EMonday, March 17 at 12:00 p.m.\u0026nbsp;\u003C\/strong\u003E\u003Cbr\u003E\u003Cstrong\u003ECollaborative Visualization Environment (CoVE) Weber Space and Technology Building (SST II)\u003C\/strong\u003E\u003C\/p\u003E\u003Cp\u003EAnd\u003C\/p\u003E\u003Cp\u003E\u003Ca href=\u0022https:\/\/teams.microsoft.com\/l\/meetup-join\/19%3ameeting_ZmY0OGJjMzctNjgyOC00M2JjLWFlOWEtODk0NTYwYWM3OThl%40thread.v2\/0?context=%7b%22Tid%22%3a%22482198bb-ae7b-4b25-8b7a-6d7f32faa083%22%2c%22Oid%22%3a%2235b6e027-4513-4667-a421-ad990e781368%22%7d\u0022 target=\u0022_blank\u0022 title=\u0022https:\/\/teams.microsoft.com\/l\/meetup-join\/19%3ameeting_ZmY0OGJjMzctNjgyOC00M2JjLWFlOWEtODk0NTYwYWM3OThl%40thread.v2\/0?context=%7b%22Tid%22%3a%22482198bb-ae7b-4b25-8b7a-6d7f32faa083%22%2c%22Oid%22%3a%2235b6e027-4513-4667-a421-ad990e781368%22%7d\u0022\u003E\u003Cstrong\u003EJoin the meeting now\u003C\/strong\u003E\u003C\/a\u003E\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003EAbstract\u003C\/strong\u003E\u003Cbr\u003EEntry, descent, and landing (EDL) is a critical aspect of planetary missions enabling payloads to safely land on planetary surfaces. To ensure mission success, engineers rely on advanced Modeling and Simulation (M\u0026amp;S), leveraging Monte Carlo analysis to identify mission sensitivities resulting from uncertainties. Of all the uncertainties modeled, aerodynamic uncertainty is the most impactful, affecting vehicle design, subsystem needs, and feasible trajectories. Vehicle aerodynamic behaviors are incorporated into M\u0026amp;S through aerodynamic databases. Computational Fluid Dynamics (CFD)-in-the-loop flight simulations are considered to be the state-of-the-art for incorporating aerodynamic data into EDL M\u0026amp;S, but the data requirements make them too computationally expensive to apply at scale. Therefore, there is an industry need to incorporate high-fidelity aerodynamic data into EDL M\u0026amp;S without developing costly aerodynamic databases.\u0026nbsp;\u003C\/p\u003E\u003Cp\u003ELiterature identifies surrogate modeling as a way to efficiently incorporate high-fidelity data into coupled analysis frameworks like EDL M\u0026amp;S. Reduced Order Models (ROMs) are an emerging surrogate modeling technique that can leverage high-fidelity aerodynamic data to predict a field of responses, containing more information in a single model than what is possible with data fit surrogate models. Fundamentally, ROMs aim to find a low-dimensional representation of a high-fidelity Full-Order Model (FOM).\u0026nbsp;\u003C\/p\u003E\u003Cp\u003EKey gaps were identified through literature, addressing the needs for developing a ROM capable of predicting high-dimensional, unsteady, parametric, low supersonic to transonic entry capsule data for EDL M\u0026amp;S. Research Questions and Experimentation seek to find a Dimensionality Reduction (DR) technique and advanced regression strategy for the ROM to achieve the necessary fidelity of predicting entry capsule aerodynamics on a test set of CFD pressure and shear surface data, and develop a sampling strategy for Free-Flight-CFD (FF-CFD) to develop a free-flight ROM.\u0026nbsp;\u003C\/p\u003E\u003Cp\u003EThe overarching research hypothesis aimed to develop a ROM methodology to model low supersonic to transonic entry capsule aerodynamics in EDL M\u0026amp;S. The ROM bypasses the need to calculate complex dynamic stability coefficients by predicting the surface aerodynamic fields of the vehicle in free-flight. The developed ROM methodology was implemented into EDL M\u0026amp;S, creating a ROM-in-the-loop flight simulation capability to assess the predictive performance of the ROM in dynamic simulations.\u0026nbsp;\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003ECommittee\u003C\/strong\u003E\u003C\/p\u003E\u003Cul\u003E\u003Cli\u003EProf. Dimitri Mavris \u2013 School of Aerospace Engineering (advisor)\u003C\/li\u003E\u003Cli\u003EProf. Lakshmi Sankar \u2013 School of Aerospace Engineering\u003C\/li\u003E\u003Cli\u003EProf. Graeme Kennedy \u2013 School of Aerospace Engineering\u003C\/li\u003E\u003Cli\u003EDr. Bradford Robertson \u2013 School of Aerospace Engineering\u003C\/li\u003E\u003Cli\u003EDr. D. Bruce Owens \u2013 Flight Dynamics Branch, NASA Langley Research Center\u003C\/li\u003E\u003C\/ul\u003E","summary":"","format":"limited_html"}],"field_subtitle":"","field_summary":[{"value":"\u003Cp\u003EA Reduced Order Modeling Methodology for Quantifying Entry Capsule Aerodynamics in Modeling and Simulation\u003C\/p\u003E","format":"limited_html"}],"field_summary_sentence":[{"value":"A Reduced Order Modeling Methodology for Quantifying Entry Capsule Aerodynamics in Modeling and Simulation"}],"uid":"27707","created_gmt":"2025-03-03 20:25:56","changed_gmt":"2025-03-03 20:26:26","author":"Tatianna Richardson","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2025-03-17T12:00:00-04:00","event_time_end":"2025-03-17T14:00:00-04:00","event_time_end_last":"2025-03-17T14:00:00-04:00","gmt_time_start":"2025-03-17 16:00:00","gmt_time_end":"2025-03-17 18:00:00","gmt_time_end_last":"2025-03-17 18:00:00","rrule":null,"timezone":"America\/New_York"},"location":"Collaborative Visualization Environment (CoVE) Weber Space and Technology Building (SST II)","extras":[],"groups":[{"id":"221981","name":"Graduate Studies"}],"categories":[],"keywords":[{"id":"100811","name":"Phd Defense"}],"core_research_areas":[],"news_room_topics":[],"event_categories":[{"id":"1788","name":"Other\/Miscellaneous"}],"invited_audience":[{"id":"78771","name":"Public"}],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[],"email":[],"slides":[],"orientation":[],"userdata":""}}}