[HTML][HTML] Improving aircraft performance using machine learning: A review
This review covers the new developments in machine learning (ML) that are impacting the
multi-disciplinary area of aerospace engineering, including fundamental fluid dynamics …
multi-disciplinary area of aerospace engineering, including fundamental fluid dynamics …
Data-driven aerospace engineering: reframing the industry with machine learning
Data science, and machine learning in particular, is rapidly transforming the scientific and
industrial landscapes. The aerospace industry is poised to capitalize on big data and …
industrial landscapes. The aerospace industry is poised to capitalize on big data and …
Deep learning in aircraft design, dynamics, and control: Review and prospects
In recent decades, deep learning (DL) has become a rapidly growing research direction,
redefining the state-of-the-art performances in a wide range of techniques, such as object …
redefining the state-of-the-art performances in a wide range of techniques, such as object …
[HTML][HTML] Recent progress of machine learning in flow modeling and active flow control
In terms of multiple temporal and spatial scales, massive data from experiments, flow field
measurements, and high-fidelity numerical simulations have greatly promoted the rapid …
measurements, and high-fidelity numerical simulations have greatly promoted the rapid …
Knowledge transfer through machine learning in aircraft design
The modern aircraft has evolved to become an important part of our society. Its design is
multidisciplinary in nature and is characterized by complex analyses of mutually …
multidisciplinary in nature and is characterized by complex analyses of mutually …
Data-driven aerodynamic modeling using the DLR SMARTy toolbox
P Bekemeyer, A Bertram, DA Hines Chaves… - AIAA Aviation 2022 …, 2022 - arc.aiaa.org
View Video Presentation: https://doi. org/10.2514/6.2022-3899. vid From aircraft design to
certification a huge amount of aerodynamic data is needed for the entire flight envelope …
certification a huge amount of aerodynamic data is needed for the entire flight envelope …
[HTML][HTML] Statistics and machine learning in aviation environmental impact analysis: A survey of recent progress
The rapid growth of global aviation operations has made its negative environmental impact
an international concern. Accurate modeling of aircraft fuel burn, emissions, and noise is the …
an international concern. Accurate modeling of aircraft fuel burn, emissions, and noise is the …
Machine learning-based CFD simulations: a review, models, open threats, and future tactics
D Panchigar, K Kar, S Shukla, RM Mathew… - Neural Computing and …, 2022 - Springer
This review targets various scenarios where CFD could be used and the logical parts
needed for exemplary computations. The machine learning aspect with algorithms that have …
needed for exemplary computations. The machine learning aspect with algorithms that have …
[HTML][HTML] Deep reinforcement learning for flow control exploits different physics for increasing Reynolds number regimes
The increase in emissions associated with aviation requires deeper research into novel
sensing and flow-control strategies to obtain improved aerodynamic performances. In this …
sensing and flow-control strategies to obtain improved aerodynamic performances. In this …
[HTML][HTML] Special issue on machine learning and data-driven methods in fluid dynamics
Machine learning (ie, modern data-driven optimization and applied regression) is a rapidly
growing field of research that is having a profound impact across many fields of science and …
growing field of research that is having a profound impact across many fields of science and …