Review of computational models for large-scale MDAO of urban air mobility concepts

D Saro**i, M Ruh, J Yan, L Scotzniovsky… - AIAA SciTech 2024 …, 2024 - arc.aiaa.org
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 …

Shock wave prediction in transonic flow fields using domain-informed probabilistic deep learning

B Mufti, A Bhaduri, S Ghosh, L Wang, DN Mavris - Physics of Fluids, 2024 - pubs.aip.org
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 …

Multifidelity Methodology for Reduced-Order Models with High-Dimensional Inputs

B Mufti, C Perron, DN Mavris - AIAA Journal, 2024 - arc.aiaa.org
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 …

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 …

[HTML][HTML] Integration of multi-fidelity methods in parametrized non-intrusive reduced order models for industrial applications

F Dicech, K Gkaragkounis, L Parussini… - Journal of …, 2025 - Elsevier
Exploring the behavior of complex industrial problems might become burdensome,
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

J Fang, W Hu, Z Liu, Y Zhou, C Wei, J Tan - Structural and Multidisciplinary …, 2024 - Springer
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 …

Application of optimized polynomial controllers based on Bayesian optimization and weight matrix adjustment

M Amirmojahedi, S Shojaee… - The Structural Design …, 2024 - Wiley Online Library
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 …

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 …

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 …

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 …