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Journal ArticleDOI

Computational Aerodynamic Modeling Tools for Aircraft Loss of Control

TLDR
The status of ongoing NASA research supported over the past eight years to advance computational capabilities for modeling civil aircraft loss of control due to airframe damage or wing stall is summarized in this article.
Abstract
This paper summarizes the status of ongoing NASA research supported over the past eight years to advance computational capabilities for modeling civil aircraft loss of control due to airframe damage or wing stall The research is motivated by a desire to exploit the capabilities of computational methods to create augmented flight simulation models that improve pilot training for such loss-of-control scenarios Flight of aircraft with either airframe damage or operating near and beyond the stall boundary encounters additional nonlinear aerodynamic influences on stability and control from dynamic motions that, if not included in flight simulation models, may lead to incorrect pilot responses In the present work, both low- and high-fidelity computational methods are explored for analyzing such nonlinearities The challenge of creating nonlinear reduced-order models from high-fidelity computational data is also addressed At the beginning, few guidelines were available for computing or modeling the dynamic s

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Citations
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Book ChapterDOI

Dynamic Envelope and Its Characteristics Under Scheduled Control Law

TL;DR: The results show that the influence on the dynamic envelope of the flight altitude is the same as that of the velocity, and they can be combined as the dynamic pressure, which is also important for the scheduled control law.
Proceedings ArticleDOI

Full-envelope, six-degrees-of-freedom trim analysis of unmanned aerial systems based on piece-wise polynomial aerodynamic coefficients

TL;DR: In this paper, a piece-wise polynomial identification method was proposed for full-envelope aerodynamic fitting, considering measurements both of the pre-stall and post-stall region.
Proceedings ArticleDOI

Physics-based recurrent neural network model for flight path trajectory prediction under high-altitude stall

TL;DR: In this paper , a deep learning-based model is developed to predict flight trajectories under highly nonlinear phenomena such as aerodynamic stall, and subsequent recovery attempts, which can be used for real-time flight trajectory predictions under aircraft upset conditions, which is a vital safety metric in enhancing the national airspace system.
References
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Journal ArticleDOI

An implicit upwind algorithm for computing turbulent flows on unstructured grids

TL;DR: An implicit, Navier-Stokes solution algorithm is presented for the computation of turbulent flow on unstructured grids using an upwind algorithm and a backward-Euler time-stepping scheme.
BookDOI

Aircraft system identification : theory and practice

TL;DR: This book presents an overview of Estimation Theory and its applications in Mathematical Model of an Aircraft and Real-Time Parameter Estimation, as well as some of the methods used in this work.
Proceedings ArticleDOI

Development of a Common Research Model for Applied CFD Validation Studies

TL;DR: In this paper, a transonic supercritical wing design is developed with aerodynamic characteristics that are well behaved and of high performance for configurations with and without the nacelle/pylon group.
Journal ArticleDOI

Three-dimensional unstructured viscous grids by the advancing-layers method

Shahyar Pirzadeh
- 01 Jan 1996 - 
TL;DR: A method is presented for generating three-dimensional viscous unstructured grids on complex configurations using a natural extension of the advancing-layers method, which benefits from a high degree of flexibility and automation required for generating grids around complex geometries.
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