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 …
processing technologies, artificial intelligence (AI) has introduced new tools and …
[图书][B] Advanced reduced order methods and applications in computational fluid dynamics
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 …
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
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 …
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
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 …
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
The increased need to design higher performing aerodynamic shapes has led to design
optimization cycles requiring high-fidelity CFD models and high-dimensional …
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 …
the substantial geometric deviations arising from manufacturing errors and in-service …
Dimension reduction via gaussian ridge functions
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 …
dimension reduction. In this paper we begin by drawing parallels between ridge subspaces …
Exploiting active subspaces for geometric optimization of cavity-stabilized supersonic flames
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 …
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
For turbulent flames involving intense turbulence-chemistry interaction, quantifying the
uncertainty originating from the parameters of chemical kinetics and physical models leads …
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
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 …
development of advanced gas turbines and aero-engines. However, the accuracy of …