Numerical and experimental assessment of random matrix theory to quantify uncertainty in aerospace structures
A Vishwanathan, GA Vio - Mechanical Systems and Signal Processing, 2019 - Elsevier
The increased complexities of modernized structures have catalyzed additional research
over the past few decades to accurately quantify the variabilities within static designs, which …
over the past few decades to accurately quantify the variabilities within static designs, which …
On structural health monitoring using tensor analysis and support vector machine with artificial negative data
P Cheema, NLD Khoa, M Makki Alamdari… - Proceedings of the 25th …, 2016 - dl.acm.org
Structural health monitoring is a condition-based technology to monitor infrastructure using
sensing systems. Since we usually only have data associated with the healthy state of a …
sensing systems. Since we usually only have data associated with the healthy state of a …
A Generic Model for Benchmark Aerodynamic Analysis of Fifth-Generation High-Performance Aircraft
NF Giannelis, T Bykerk, GA Vio - Aerospace, 2023 - mdpi.com
This paper introduces a generic model for the study of aerodynamic behaviour relevant to
fifth-generation high-performance aircraft. The model design is presented, outlining …
fifth-generation high-performance aircraft. The model design is presented, outlining …
Static aerodynamic analysis of a generic fifth generation fighter aircraft
T Bykerk, NF Giannelis, GA Vio - AIAA SCITECH 2022 Forum, 2022 - arc.aiaa.org
View Video Presentation: https://doi. org/10.2514/6.2022-1951. vid This paper presents a
generic geometry for the study of aerodynamic behaviour relevant to fifth generation fighter …
generic geometry for the study of aerodynamic behaviour relevant to fifth generation fighter …
Influence of turbulence modelling approach on shock buffet computations at deep buffet conditions
NF Giannelis, GA Vio - AIAA AVIATION 2021 FORUM, 2021 - arc.aiaa.org
View Video Presentation: https://doi. org/10.2514/6.2021-2557. vid The sensitivity of
transonic shock buffet computations to the selected turbulence modelling approach is well …
transonic shock buffet computations to the selected turbulence modelling approach is well …
Multi-particle swarm optimization used to study material degradation in aeroelastic composites including probabalistic uncertainties
A Vishwanathan, P Cheema… - 2017 IEEE Congress on …, 2017 - ieeexplore.ieee.org
Extensive research has been done in optimizing simple composite wings to maximize their
flutter/divergence speeds by varying ply orientation angles. This paper extends upon …
flutter/divergence speeds by varying ply orientation angles. This paper extends upon …
Frequency response characteristics of 2d wings in uncertain environments: A random matrix theory approach
Whilst structural design processes in engineering have been extensively developed, the
additional consideration of uncertainty quantification (UQ) provides a more holistic forecast …
additional consideration of uncertainty quantification (UQ) provides a more holistic forecast …
[PDF][PDF] Transonic flow oscillations in cavity/store problems
NF Giannelis, GA Vio - 2023 - researchgate.net
This paper presents a comparative assessment of the aeroacoustic environment and
associated flow features induced by the introduction of a rigid store to a simple cavity at …
associated flow features induced by the introduction of a rigid store to a simple cavity at …
A tensor-based structural health monitoring approach for aeroservoelastic systems
Structural health monitoring is a condition-based field of study utilised to monitor
infrastructure, via sensing systems. It is therefore used in the field of aerospace engineering …
infrastructure, via sensing systems. It is therefore used in the field of aerospace engineering …
Bayesian Inferencing on an Aircraft T-Tail Using Probabilistic Surrogates and Uncertainty Quantification
Uncertainty quantification is a notion that has received much interest over the past decade. It
involves the extraction of statistical information from a problem with inherent variability. This …
involves the extraction of statistical information from a problem with inherent variability. This …