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Institution

Italian Aerospace Research Centre

OtherCapua, Campania, Italy
About: Italian Aerospace Research Centre is a other organization based out in Capua, Campania, Italy. It is known for research contribution in the topics: Aerodynamics & Morphing. The organization has 278 authors who have published 400 publications receiving 3563 citations. The organization is also known as: CIRA & Italian Aerospace Research Center.


Papers
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Journal ArticleDOI
TL;DR: In this paper, the authors applied the CIRA RANS flow solver by employing a large set of turbulence models, to typical aerodynamic applications for which certified experimental data are available in literature.

148 citations

Journal ArticleDOI
TL;DR: In this paper, the airfoil camber at the wing trailing edge on a full scale wing of a civil regional transportation aircraft is controlled by substituting a traditional sparsified shape memory alloys (SMAs).
Abstract: Multiple flight regimes during typical aircraft missions mean that a single unique optimized configuration, that maximizes aerodynamic efficiency and maneuverability, cannot be defined. Discrete components such as ailerons and flaps provide some adaptability, although they are far from optimal. Wing morphing can significantly improve the performance of future aircraft, by adapting the wing shape to the specific flight regime requirements, but also represents a challenging problem: the structure has to be stiff to maintain its shape under loads, and yet be flexible to deform without collapse. One solution is to adopt structural elements made of smart materials; Shape Memory Alloys (SMAs) have demonstrated their suitability for many static applications due to their high structural integration potential and remarkable actuation capabilities.In this work, the airfoil camber at the wing trailing edge on a full scale wing of a civil regional transportation aircraft is controlled by substituting a traditional sp...

76 citations

Journal ArticleDOI
TL;DR: In this article, a compliant rib structure was designed, based on SMA actuators exhibiting structural potential (bearing external aerodynamic loads), and numerical results, achieved through a FE approach, were presented in terms of trailing edge induced displacement and morphed shape.
Abstract: The adaptive structures concept is of great interest in the aerospace field because of the several benefits which can be accomplished in the fields including noise reduction, load alleviation, weight reduction, etc., at a level in which they can be considered as compulsory in the design of future aircraft. Improvements in terms of the aerodynamic efficiency, aeroelastic behavior, stability, and manoeuvrability performance have already been proved through many international studies in the past. In the family of the Smart Materials, Shape Memory Alloys (SMA) seem to be a suitable solution for many static applications. Their high structural integrability in conjunction with actuation capabilities and a favorable performance per weight ratio, allows the development of original architectures. In this study, a morphing wing trailing edge concept is presented; morphing ability was introduced with the aim of replacing a conventional flap device. A compliant rib structure was designed, based on SMA actuators exhibiting structural potential (bearing external aerodynamic loads). Numerical results, achieved through a FE approach, are presented in terms of trailing edge induced displacement and morphed shape.

68 citations

Proceedings ArticleDOI
01 Sep 2017
TL;DR: A novel approach to the detection of Global Positioning System spoofing attack to Unmanned Aerial Vehicle (UAV) based on the analysis of state estimation using the Support Vector Machine (SVM) as a tool for the anomaly detection is introduced.
Abstract: Today, the necessity of strong cyber security measures is self-evident. The proliferation of cyber attacks is causing increasing damage to companies, governments and individuals and it is not just the number of cyber security attacks that is increasing: the severity of these attacks is on the rise as well. In particular, aviation systems and Remotely Piloted Aircraft Systems are of highest importance in terms of safety and security. In this paper, we introduce a novel approach to the detection of Global Positioning System (GPS) spoofing attack to Unmanned Aerial Vehicle (UAV) based on the analysis of state estimation using the Support Vector Machine (SVM) as a tool for the anomaly detection.

66 citations


Authors

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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
20236
202213
202145
202041
201942
201839