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Drag reduction mechanisms on a generic square-back vehicle using an optimised yaw-insensitive base cavity
Regulations on global greenhouse gas emission are driving the development of more
energy-efficient passenger vehicles. One of the key factors influencing energy consumption …
energy-efficient passenger vehicles. One of the key factors influencing energy consumption …
Multifidelity prediction framework with convolutional neural networks using high-dimensional data
This paper proposes two novel multifidelity neural network architectures developed for high-
dimensional inputs such as computational flowfields. We employed a two-dimensional flow …
dimensional inputs such as computational flowfields. We employed a two-dimensional flow …
Aerodynamic shape optimization using gradient-enhanced multifidelity neural networks
View Video Presentation: https://doi. org/10.2514/6.2022-2350. vid In this work, the gradient-
enhanced multifidelity neural networks (GEMFNN) algorithm is extended to handle multiple …
enhanced multifidelity neural networks (GEMFNN) algorithm is extended to handle multiple …
Applications of polynomial chaos-based cokriging to simulation-based analysis and design under uncertainty
This paper demonstrates the use of the polynomial chaos-based Cokriging (PC-Cokriging)
on various simulation-based problems, namely an analytical borehole function, an ultrasonic …
on various simulation-based problems, namely an analytical borehole function, an ultrasonic …
A Multi-fidelity Prediction with Convolutional Neural Networks Using High-Dimensional Data
View Video Presentation: https://doi. org/10.2514/6.2022-3719. vid This paper proposes two
novel multi-fidelity neural network architectures tailored for high-dimensional inputs such as …
novel multi-fidelity neural network architectures tailored for high-dimensional inputs such as …
Co-Kriging based multi-fidelity aerodynamic optimization for flying wing UAV with multi-shape wingtip design
R Wang, Y Yang, X Wang, B Wang… - 2021 IEEE International …, 2021 - ieeexplore.ieee.org
Wingtip aerodynamic optimization is an important supplementary to improve the
aerodynamic performance of flying wing UAVs. Based on the Co-Kriging model, this paper …
aerodynamic performance of flying wing UAVs. Based on the Co-Kriging model, this paper …
Multi-Fidelity and Multi-Disciplinary Design Optimization of A Low-Boom Supersonic Transport Aircraft
View Video Presentation: https://doi. org/10.2514/6.2023-1478. vid The purpose of this study
is to demonstrate the conceptual design of a low-boom supersonic transport aircraft by …
is to demonstrate the conceptual design of a low-boom supersonic transport aircraft by …
Missile Flight Simulation With Surrogate Aerodynamic Models and Robust Control Autopilot
This paper presents an approach to explore the relationships between the missile
aerodynamics model, two potential autopilot configurations, and the resulting closed-loop …
aerodynamics model, two potential autopilot configurations, and the resulting closed-loop …
Missile Flight Simulation Using Multi-Fidelity Surrogate Aerodynamic Models
ER Joyce - 2024 - rave.ohiolink.edu
Modeling and simulation is widely used within the aerospace industry to inform technology
development, acquisition, and operations and sustainment decisions. Accurate simulation of …
development, acquisition, and operations and sustainment decisions. Accurate simulation of …
Gradient-enhanced multifidelity neural networks for high-dimensional function approximation
In this work, a novel multifidelity machine learning (ML) algorithm, the gradient-enhanced
multifidelity neural networks (GEMFNN) algorithm, is proposed. This is a multifidelity …
multifidelity neural networks (GEMFNN) algorithm, is proposed. This is a multifidelity …