Bioinspired artificial hair sensors for flight-by-feel of unmanned aerial vehicles: a review
Flight-by-feel is an emerging approach to flight control that uses distributed arrays of
pressure, strain, and flow sensors to guide aircraft. Among these, hair-type flow sensors …
pressure, strain, and flow sensors to guide aircraft. Among these, hair-type flow sensors …
Bayesian inference of vorticity in unbounded flow from limited pressure measurements
JD Eldredge, M Le Provost - Journal of Fluid Mechanics, 2024 - cambridge.org
We study the instantaneous inference of an unbounded planar flow from sparse noisy
pressure measurements. The true flow field comprises one or more regularized point …
pressure measurements. The true flow field comprises one or more regularized point …
Sparse pressure-based machine learning approach for aerodynamic loads estimation during gust encounters
Estimation of aerodynamic loads is a significant challenge in complex gusty environments
due to the associated complexities of flow separation and strong nonlinearities. In this study …
due to the associated complexities of flow separation and strong nonlinearities. In this study …
Cluster-based Bayesian approach for noisy and sparse data: application to flow-state estimation
This study presents a cluster-based Bayesian methodology for state estimation under
realistic conditions including noisy data from sparse sensors. The proposed approach is …
realistic conditions including noisy data from sparse sensors. The proposed approach is …
Evolution of clusters of turbulent reattachment due to shear layer instability in flow past a circular cylinder
We perform large eddy simulations of flow past a circular cylinder for the Reynolds number
(Re) range, 2× 10 3≤ R e≤ 4× 10 5, spanning subcritical, critical, and supercritical …
(Re) range, 2× 10 3≤ R e≤ 4× 10 5, spanning subcritical, critical, and supercritical …
Turbulence statistics estimation across a step change in roughness via interpretable network-based modelling
This study proposes a data-driven methodology to complement existing time-series
measurement tools for turbulent flows. Specifically, a cluster-based transition network model …
measurement tools for turbulent flows. Specifically, a cluster-based transition network model …
Aerodynamic state estimation from sparse sensor data by pairing Bayesian statistics with transition networks
View Video Presentation: https://doi. org/10.2514/6.2022-1669. vid Swimmers and flyers in
nature take advantage of distributed sensor feedback to control the interaction between the …
nature take advantage of distributed sensor feedback to control the interaction between the …
Inverse Decomposition Method for Complete Determination of Freestream Disturbances in a Hypersonic Wind Tunnel
Hypersonic wind tunnel tests are often compromised by unavoidable disturbances in the test
section flow, typically involving acoustic waves as well as entropy and vorticity disturbances …
section flow, typically involving acoustic waves as well as entropy and vorticity disturbances …
[PDF][PDF] Time Resolved Surface Pressure and Concentration Correlations in an Atmospheric Boundary Layer
JL Schmeer - 2024 - openresearch.surrey.ac.uk
Pollution levels are an increasing concern for the respiratory health of those living and
working in cities. Wind tunnel simulations play an important role in modelling pollutant …
working in cities. Wind tunnel simulations play an important role in modelling pollutant …