Shock wave prediction in transonic flow fields using domain-informed probabilistic deep learning
Transonic flow fields are marked by shock waves of varying strength and location and are
crucial for the aerodynamic design and optimization of high-speed transport aircraft. While …
crucial for the aerodynamic design and optimization of high-speed transport aircraft. While …
Uncertainty Propagation in High-Dimensional Fields using Non-Intrusive Reduced Order Modeling and Polynomial Chaos
View Video Presentation: https://doi. org/10.2514/6.2023-1686. vid High-fidelity, physics-
based modeling and simulation have become integral to the design of aircraft, but can have …
based modeling and simulation have become integral to the design of aircraft, but can have …
Manifold alignment-based nonintrusive and nonlinear multifidelity reduced-order modeling
This study presents the development of a methodology for the construction of data-driven,
parametric, multifidelity reduced-order models to emulate aerodynamic flowfields with …
parametric, multifidelity reduced-order models to emulate aerodynamic flowfields with …
A multidisciplinary analysis framework for the sizing and synthesis of hypersonic aerial systems
K Decker, DN Mavris - AIAA SCITECH 2023 Forum, 2023 - arc.aiaa.org
View Video Presentation: https://doi. org/10.2514/6.2023-2365. vid Modern hypersonic
vehicles are highly integrated, tightly coupled multidisciplinary systems. This study …
vehicles are highly integrated, tightly coupled multidisciplinary systems. This study …
Uncertainty Quantification in Flows with Discontinuities: A Probabilistic Approach on Nonlinear Manifolds
View Video Presentation: https://doi. org/10.2514/6.2023-4092. vid Uncertainty quantification
(UQ) in transonic and supersonic flows is difficult due to the presence of strong …
(UQ) in transonic and supersonic flows is difficult due to the presence of strong …
High-Dimensional Uncertainty Propagation in Aerodynamics using Polynomial Chaos-Kriging
View Video Presentation: https://doi. org/10.2514/6.2023-3766. vid Uncertainty propagation
in simulations with high-dimensional outputs, such as computational fluid dynamics, is …
in simulations with high-dimensional outputs, such as computational fluid dynamics, is …
Domain Decomposition Strategy for Combining Nonlinear and Linear Reduced-Order Models
Increasingly ubiquitous reliance on expensive, high-fidelity numerical simulations has led to
the emergence of reduced-order modeling as an effective method to predict high …
the emergence of reduced-order modeling as an effective method to predict high …
A Reduced Order Modeling Approach to Blunt-Body Aerodynamic Modeling
HV Dean, K Decker, BE Robertson… - AIAA SCITECH 2024 …, 2024 - arc.aiaa.org
Blunt-body entry vehicles display complex flow phenomena that results in dynamic
instabilities in the low supersonic to transonic flight regime. Dynamic stability coefficients are …
instabilities in the low supersonic to transonic flight regime. Dynamic stability coefficients are …
Domain Decomposed ROM with Grid Adaptation for Hypersonic Flows
View Video Presentation: https://doi. org/10.2514/6.2023-0903. vid Hypersonic vehicle
design is a typical many-query problem that requires extensive computational resources if …
design is a typical many-query problem that requires extensive computational resources if …
Efficient Uncertainty Quantification of Sonic Boom Pressure Signatures using Reduced Order Modeling
The development of commercial supersonic aircraft is dependent on the mitigation of sonic
boom loudness to acceptable levels. Uncertainties in the atmosphere and flight conditions …
boom loudness to acceptable levels. Uncertainties in the atmosphere and flight conditions …