Nonlinear reduced order modeling using domain decomposition
View Video Presentation: https://doi. org/10.2514/6.2022-1250. vid As designers become
increasingly reliant upon expensive, high-fidelity numerical modeling and simulation …
increasingly reliant upon expensive, high-fidelity numerical modeling and simulation …
Nonlinear manifold learning and model reduction for transonic flows
B Zheng, W Yao, M Xu - AIAA Journal, 2023 - arc.aiaa.org
It is aspirational to construct a nonlinear reduced-order model (ROM) with the ability to
predict computational fluid dynamics (CFD) solutions accurately and efficiently. One major …
predict computational fluid dynamics (CFD) solutions accurately and efficiently. One major …
Manifold alignment-based multi-fidelity reduced-order modeling applied to structural analysis
This work presents the application of a recently developed parametric, non-intrusive, and
multi-fidelity reduced-order modeling method on high-dimensional displacement and stress …
multi-fidelity reduced-order modeling method on high-dimensional displacement and stress …
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 …