5,022 research outputs found
Flutter Prediction for Aircraft Conceptual Design
Flutter prediction is usually a knowledge-based analysis process that aims to reduce the cost of aeroelastic stability margin certification. However, early detection of flutter problems is beneficial in the development of unconventional aircraft. The recently developed automation tool ConceptFEA for structural sizing of aircraft concepts paves the way for rapid physics-based flutter prediction of aircraft concepts. A match-point iteration procedure using the p-k method is implemented for ConceptFEA with minimum user input requirements to generate flutter boundary points. A subsonic business jet concept and its high aspect-ratio wing variant are used to demonstrate how the newly developed flutter prediction capability can be used during aircraft conceptual design. Sized structures, flutter boundary curves, and flutter sensitivity analysis results are generated for these two concepts using ConceptFEA. The relevant equivalent plate theory is provided to show the quantitative relationships between a stiffened panel and its equivalent NASTRAN PSHELL panel. The rapid flutter prediction capability of ConceptFEA makes multidisciplinary collaborations between systems analysts and aeroelasticity experts feasible in practice
On the modeling of neural cognition for social network applications
In this paper, we study neural cognition in social network. A stochastic
model is introduced and shown to incorporate two well-known models in Pavlovian
conditioning and social networks as special case, namely Rescorla-Wagner model
and Friedkin-Johnsen model. The interpretation and comparison of these model
are discussed. We consider two cases when the disturbance is independent
identical distributed for all time and when the distribution of the random
variable evolves according to a markov chain. We show that the systems for both
cases are mean square stable and the expectation of the states converges to
consensus.Comment: submitted to IEEE CCAT 201
- …