6th AIAA Atmospheric and Space Environments Conference 2014
DOI: 10.2514/6.2014-2466
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Evaluation of Fast-Time Wake Vortex Models using Wake Encounter Flight Test Data

Abstract: This paper describes a methodology for the integration and evaluation of fast-time wake models with flight data. The National Aeronautics and Space Administration conducted detailed flight tests in 1995 and 1997 under the Aircraft Vortex Spacing System Program to characterize wake vortex decay and wake encounter dynamics. In this study, data collected during Flight 705 were used to evaluate NASA's fast-time wake transport and decay models. Deterministic and Monte-Carlo simulations were conducted to define wake… Show more

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Cited by 2 publications
(2 citation statements)
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References 27 publications
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“…This model is a semi-empirical wake behavior model developed by NASA that predicts wake decay as a function of atmospheric turbulence and stratification. Typical NASA evaluations of fast-time models using field data measured with light detection and ranging (LIDAR) demonstrated the TDAWP model to be more accurate than other wake behavior models (5). First, aircraft input parameters such as an identifier (ID), wingspan, MTOW, maximum allowable landing weight (MALW), and performance characteristics are loaded into the simulation.…”
Section: Maximum Wake Circulation Capacitymentioning
confidence: 99%
See 1 more Smart Citation
“…This model is a semi-empirical wake behavior model developed by NASA that predicts wake decay as a function of atmospheric turbulence and stratification. Typical NASA evaluations of fast-time models using field data measured with light detection and ranging (LIDAR) demonstrated the TDAWP model to be more accurate than other wake behavior models (5). First, aircraft input parameters such as an identifier (ID), wingspan, MTOW, maximum allowable landing weight (MALW), and performance characteristics are loaded into the simulation.…”
Section: Maximum Wake Circulation Capacitymentioning
confidence: 99%
“…The analysis applied a Monte Carlo simulation approach, in conjunction with the NASA AVOSS TDAWP 2.1 model, to derive combinations of wake behavior parameters to obtain wake behavior under different conditions. NASA evaluations of fast-time models using field data measured with light detection and ranging (LIDAR) demonstrated the TDAWP model to be more accurate than other wake behavior models (5).…”
Section: Maximum Wake Circulation Capacitymentioning
confidence: 99%