A state-of-the-art survey of model order reduction techniques for large-scale coupled dynamical systems

R Kumar, D Ezhilarasi - International Journal of Dynamics and Control, 2023 - Springer
Engineering large structure systems are dynamic, high-dimensional and have a wide range
of physical mechanism interconnections. Analyzing the dynamic behavior of complex …

[HTML][HTML] Fast evaluation of aircraft icing severity using machine learning based on XGBoost

S Li, J Qin, M He, R Paoli - Aerospace, 2020 - mdpi.com
Aircraft icing represents a serious hazard in aviation which has caused a number of fatal
accidents over the years. In addition, it can lead to substantial increase in drag and weight …

Neural network prediction for ice shapes on airfoils using icefoam simulations

S Strijhak, D Ryazanov, K Koshelev, A Ivanov - Aerospace, 2022 - mdpi.com
In this article the procedure and method for the ice accretion prediction for different airfoils
using artificial neural networks (ANNs) are discussed. A dataset for the neural network is …

Performance evaluation of electrothermal anti-icing systems for a rotorcraft engine air intake using a meta model

SK Jung, LP Raj, A Rahimi, H Jeong… - Aerospace Science and …, 2020 - Elsevier
A meta model was developed to evaluate the performance of electrothermal anti-icing
systems for a rotorcraft engine air intake. A reduced-order model based on proper …

Artificial Intelligence in Aviation Safety: Systematic Review and Biometric Analysis

G Demir, S Moslem, S Duleba - International Journal of Computational …, 2024 - Springer
This study aims to offer aviation safety researchers, practitioners, and decision-makers a
comprehensive exploration of integrating advanced technologies, such as artificial …

Reduced-order modeling of solid-liquid mixing in a stirred tank using data-driven singular value decomposition

Y Jiang, E Byrne, J Glassey, X Chen - Chemical Engineering Research and …, 2023 - Elsevier
Stirred tanks are widely used across the (bio) chemical and process industries for solid-
liquid mixing. Predicting solid suspension behavior under varying agitation speeds is critical …

Local non‐intrusive reduced order modeling based on soft clustering and classification algorithm

YE Kang, S Shon, K Yee - International Journal for Numerical …, 2022 - Wiley Online Library
The use of non‐intrusive reduced order modeling (NIROM) to approximate high‐fidelity
computer models has been steadily increased over the past decade. Recently, local NIROM …

Eulerian method for ice crystal icing

E Norde, ETA van der Weide, HWM Hoeijmakers - AIAA journal, 2018 - arc.aiaa.org
In this study, an ice accretion method aimed at ice crystal icing in turbofan engines is
developed and demonstrated for glaciated as well as mixed-phase icing conditions. The …

On a reduced-order model-based optimization of rotor electro-thermal anti-icing systems

A Targui, WG Habashi - … Journal of Numerical Methods for Heat & …, 2022 - emerald.com
Purpose Responsible for lift generation, the helicopter rotor is an essential component to
protect against ice accretion. As rotorcraft present a smaller wing cross-section and a lower …

Sustainable data-driven framework via transfer learning for icing-detection of high aspect ratio blades

I Jeong, H Cho, C Son, T Kim - Cold Regions Science and Technology, 2022 - Elsevier
Ice accumulations on structures and rotating blades could introduce significant issues
resulting in structure failure, fatigue load increments, safety hazards, etc. Ice detection and …