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Review of computational models for large-scale MDAO of urban air mobility concepts
The advent of Urban Air Mobility (UAM) has necessitated a paradigm shift in aircraft design
from traditional regression methods to physics-based analysis and the use of modern …
from traditional regression methods to physics-based analysis and the use of modern …
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 …
Multifidelity Methodology for Reduced-Order Models with High-Dimensional Inputs
In the early stages of aerospace design, reduced-order models (ROMs) are crucial for
minimizing computational costs associated with using physics-rich field information in many …
minimizing computational costs associated with using physics-rich field information in many …
Component-based wing structure reconfiguration and analysis on the fly
B Kim, S Kang, K Lee - Aerospace Science and Technology, 2024 - Elsevier
To facilitate the structural design of an aircraft wing, we propose a simulation technique that
can not only readily reshape a wing structure, but also rapidly yet accurately analyze its …
can not only readily reshape a wing structure, but also rapidly yet accurately analyze its …
[HTML][HTML] Integration of multi-fidelity methods in parametrized non-intrusive reduced order models for industrial applications
Exploring the behavior of complex industrial problems might become burdensome,
especially in high-dimensional design spaces. Reduced Order Models (ROMs) aim to …
especially in high-dimensional design spaces. Reduced Order Models (ROMs) aim to …
A reduced order finite element-informed surrogate model for approximating global high-fidelity simulation
Surrogate model is an efficient tool to replace the high-fidelity (HF) simulations governed by
partial differential equations (PDEs) to obtain response under different parameters (eg …
partial differential equations (PDEs) to obtain response under different parameters (eg …
Application of optimized polynomial controllers based on Bayesian optimization and weight matrix adjustment
This paper uses a polynomial controller with non‐linear performance that is a summation of
polynomials in non‐linear states. The optimal performance of this controller depends to a …
polynomials in non‐linear states. The optimal performance of this controller depends to a …
Towards Develo** a Guide to Choosing National High-Performance Computing Resources
D Saro**i, C Burrows-Schilling, K Thomas… - … and Experience in …, 2023 - dl.acm.org
This work aims to identify key barriers to the widespread adoption of high-performance
computing (HPC) and develop a framework to help new users onboard to HPC resources …
computing (HPC) and develop a framework to help new users onboard to HPC resources …
Efficient Aircraft Design Optimization Using Multi-Fidelity Models and Multi-fidelity Physics Informed Neural Networks
A Sarker - arxiv preprint arxiv:2412.18564, 2024 - arxiv.org
Aircraft design optimization traditionally relies on computationally expensive simulation
techniques such as Finite Element Method (FEM) and Finite Volume Method (FVM), which …
techniques such as Finite Element Method (FEM) and Finite Volume Method (FVM), which …
Component-Based Aircraft Wing Structure Reconfiguration and Analysis on the Fly
B Kim, S Kang, K Lee - Available at SSRN 4783504 - papers.ssrn.com
To facilitate the structural design of an aircraft wing, we propose a simulation technique that
can not only readily reshape a wing structure, but also rapidly yet accurately analyze its …
can not only readily reshape a wing structure, but also rapidly yet accurately analyze its …