Acceleration-Based In Situ Eddy Dissipation Rate Estimation with Flight Data

Inducing civil aviation aircraft to bumpiness, atmospheric turbulence is a typical risk that seriously threatens flight safety. The Eddy Dissipation Rate (EDR) value, as an aircraft-independent turbulence severity indicator, is estimated by a vertical wind-based or aircraft vertical acceleration-bas...

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Main Authors: Zhenxing Gao, Haofeng Wang, Kai Qi, Zhiwei Xiang, Debao Wang
Format: Article
Language:English
Published: MDPI AG 2020-11-01
Series:Atmosphere
Subjects:
Online Access:https://www.mdpi.com/2073-4433/11/11/1247
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author Zhenxing Gao
Haofeng Wang
Kai Qi
Zhiwei Xiang
Debao Wang
author_facet Zhenxing Gao
Haofeng Wang
Kai Qi
Zhiwei Xiang
Debao Wang
author_sort Zhenxing Gao
collection DOAJ
description Inducing civil aviation aircraft to bumpiness, atmospheric turbulence is a typical risk that seriously threatens flight safety. The Eddy Dissipation Rate (EDR) value, as an aircraft-independent turbulence severity indicator, is estimated by a vertical wind-based or aircraft vertical acceleration-based algorithm. Based on the flight data of civil aviation aircraft, the vertical turbulence component is obtained as the input of both algorithms. A new method of computing vertical acceleration response in turbulence is put forward through the Unsteady Vortex Lattice Method (UVLM). The lifting surface of the target aircraft is assumed to be a combination of wing and horizontal tail in a turbulent flight scenario. Vortex rings are assigned on the mean camber surface, forming a non-planar UVLM, to further improve the accuracy. Moreover, the neighboring vortex lattices are placed as close as possible to the structural edge of control surfaces. Thereby, a complete algorithm for estimating vertical acceleration and in situ EDR value from Quick Access Recorder (QAR) flight data is proposed. Experiments show that the aerodynamic performance is computed accurately by non-planar UVLM. The acceleration response by non-planar UVLM is able to track the recorded acceleration data with higher accuracy than that of the linear model. Different acceleration responses at different locations are also obtained. Furthermore, because the adverse effects of aircraft maneuvers are separated from turbulence-induced aircraft bumpiness, the new acceleration-based EDR algorithm shows better accuracy and stability.
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spelling doaj.art-cbe59eebc0f84b899dfe924552418b9c2023-11-20T21:28:17ZengMDPI AGAtmosphere2073-44332020-11-011111124710.3390/atmos11111247Acceleration-Based In Situ Eddy Dissipation Rate Estimation with Flight DataZhenxing Gao0Haofeng Wang1Kai Qi2Zhiwei Xiang3Debao Wang4College of Civil Aviation, Nanjing University of Aeronautics and Astronautics, Nanjing 211106, ChinaAviation Safety Institute, China Academy of Civil Aviation Science and Technology, Beijing 100028, ChinaDepartment of Flight, Shandong Airlines, Jinan 250014, ChinaCollege of Civil Aviation, Nanjing University of Aeronautics and Astronautics, Nanjing 211106, ChinaCollege of Civil Aviation, Nanjing University of Aeronautics and Astronautics, Nanjing 211106, ChinaInducing civil aviation aircraft to bumpiness, atmospheric turbulence is a typical risk that seriously threatens flight safety. The Eddy Dissipation Rate (EDR) value, as an aircraft-independent turbulence severity indicator, is estimated by a vertical wind-based or aircraft vertical acceleration-based algorithm. Based on the flight data of civil aviation aircraft, the vertical turbulence component is obtained as the input of both algorithms. A new method of computing vertical acceleration response in turbulence is put forward through the Unsteady Vortex Lattice Method (UVLM). The lifting surface of the target aircraft is assumed to be a combination of wing and horizontal tail in a turbulent flight scenario. Vortex rings are assigned on the mean camber surface, forming a non-planar UVLM, to further improve the accuracy. Moreover, the neighboring vortex lattices are placed as close as possible to the structural edge of control surfaces. Thereby, a complete algorithm for estimating vertical acceleration and in situ EDR value from Quick Access Recorder (QAR) flight data is proposed. Experiments show that the aerodynamic performance is computed accurately by non-planar UVLM. The acceleration response by non-planar UVLM is able to track the recorded acceleration data with higher accuracy than that of the linear model. Different acceleration responses at different locations are also obtained. Furthermore, because the adverse effects of aircraft maneuvers are separated from turbulence-induced aircraft bumpiness, the new acceleration-based EDR algorithm shows better accuracy and stability.https://www.mdpi.com/2073-4433/11/11/1247turbulenceEddy Dissipation Rate (EDR)aircraft accelerationUnsteady Vortex Lattice Model (UVLM)vortex ring
spellingShingle Zhenxing Gao
Haofeng Wang
Kai Qi
Zhiwei Xiang
Debao Wang
Acceleration-Based In Situ Eddy Dissipation Rate Estimation with Flight Data
Atmosphere
turbulence
Eddy Dissipation Rate (EDR)
aircraft acceleration
Unsteady Vortex Lattice Model (UVLM)
vortex ring
title Acceleration-Based In Situ Eddy Dissipation Rate Estimation with Flight Data
title_full Acceleration-Based In Situ Eddy Dissipation Rate Estimation with Flight Data
title_fullStr Acceleration-Based In Situ Eddy Dissipation Rate Estimation with Flight Data
title_full_unstemmed Acceleration-Based In Situ Eddy Dissipation Rate Estimation with Flight Data
title_short Acceleration-Based In Situ Eddy Dissipation Rate Estimation with Flight Data
title_sort acceleration based in situ eddy dissipation rate estimation with flight data
topic turbulence
Eddy Dissipation Rate (EDR)
aircraft acceleration
Unsteady Vortex Lattice Model (UVLM)
vortex ring
url https://www.mdpi.com/2073-4433/11/11/1247
work_keys_str_mv AT zhenxinggao accelerationbasedinsitueddydissipationrateestimationwithflightdata
AT haofengwang accelerationbasedinsitueddydissipationrateestimationwithflightdata
AT kaiqi accelerationbasedinsitueddydissipationrateestimationwithflightdata
AT zhiweixiang accelerationbasedinsitueddydissipationrateestimationwithflightdata
AT debaowang accelerationbasedinsitueddydissipationrateestimationwithflightdata