Progress and prospects of artificial intelligence development and applications in supersonic flow and combustion

J Le, M Yang, M Guo, Y Tian, H Zhang - Progress in Aerospace Sciences, 2024 - Elsevier
Due to the significant improvement in computing power and the rapid advancement of data
processing technologies, artificial intelligence (AI) has introduced new tools and …

[图书][B] Advanced reduced order methods and applications in computational fluid dynamics

G Rozza, G Stabile, F Ballarin - 2022 - SIAM
Reduced order modeling is an important and fast-growing research field in computational
science and engineering, motivated by several reasons, of which we mention just a few …

AeroVR: An immersive visualisation system for aerospace design and digital twinning in virtual reality

SK Tadeja, P Seshadri, PO Kristensson - The Aeronautical Journal, 2020 - cambridge.org
One of today's most propitious immersive technologies is virtual reality (VR). This term is
colloquially associated with headsets that transport users to a bespoke, built-for-purpose …

Aerodynamic optimisation of civil aero-engine nacelles by dimensionality reduction and multi-fidelity techniques

F Tejero, D MacManus, J Hueso-Rebassa… - International Journal of …, 2023 - emerald.com
Purpose Aerodynamic shape optimisation is complex because of the high dimensionality of
the problem, the associated non-linearity and its large computational cost. These three …

Global optimization of a transonic fan blade through AI-enabled active subspaces

DI Lopez, T Ghisu, S Shahpar - Journal of …, 2022 - asmedigitalcollection.asme.org
The increased need to design higher performing aerodynamic shapes has led to design
optimization cycles requiring high-fidelity CFD models and high-dimensional …

Sensitivity analysis and robust optimization to high-dimensional uncertainties of compressors with active subspace method

Z Song, Y Wu, X Liu, J Li - Aerospace Science and Technology, 2024 - Elsevier
The performance of compressors often deviates significantly from the design value due to
the substantial geometric deviations arising from manufacturing errors and in-service …

Dimension reduction via gaussian ridge functions

P Seshadri, S Yuchi, GT Parks - SIAM/ASA Journal on Uncertainty …, 2019 - SIAM
Ridge functions have recently emerged as a powerful set of ideas for subspace-based
dimension reduction. In this paper we begin by drawing parallels between ridge subspaces …

Exploiting active subspaces for geometric optimization of cavity-stabilized supersonic flames

J Wei, J An, Q Zhang, H Zhou, Z Ren - AIAA Journal, 2023 - arc.aiaa.org
With the increased demand for hydrogen for carbon-neutral propulsion technologies,
understanding the coupling effect of the fuel injection and cavity on flow characteristics is …

Quantification of modeling uncertainties in turbulent flames through successive dimension reduction

N Wang, Q Xie, X Su, Z Ren - Combustion and Flame, 2020 - Elsevier
For turbulent flames involving intense turbulence-chemistry interaction, quantifying the
uncertainty originating from the parameters of chemical kinetics and physical models leads …

Exploiting active subspace for modeling uncertainty and optimization in fan-shaped film cooling simulation

F Cai, H Zhou, M Yao, Z Ren - … Expo: Power for …, 2024 - asmedigitalcollection.asme.org
The numerical studies for film cooling performance have gained considerable interest for the
development of advanced gas turbines and aero-engines. However, the accuracy of …