210 citations · 336 across the 6 of their papers we have counts for
7 papers
Feature Identification in Complex Fluid Flows by Convolutional Neural Networks
Shizheng Wen, Michael W. Lee, Kai M. Kruger Bastos +1
Recent efforts have shown machine learning to be useful for the prediction of nonlinear fluid dynamics. Predictive accuracy is often a central motivation for employing neural netwo…
Dynamic Equations of Motion for Inextensible Beams and Plates
Maria Deliyianni, Kevin McHugh, Justin T. Webster +1
The large deflections of cantilevered beams and plates are modeled and discussed. Traditional nonlinear elastic models (e.g., that of von Karman) employ elastic restoring forces ba…
Two-domain and three-domain limit cycles in a typical aeroelastic system with freeplay in pitch
Edouard Verstraelen, Grigorios Dimitriadis, Gustavo Dal Ben Rossetto +1
Freeplay is a significant source of nonlinearity in aeroelastic systems and is strictly regulated by airworthiness authorities. It splits the phase plane of such systems into three…
Mathematical Aeroelasticity: A Survey
Igor Chueshov, Earl H. Dowell, Irena Lasiecka +1
A variety of models describing the interaction between flows and oscillating structures are discussed. The main aim is to analyze conditions under which structural instability (flu…
Von Karman plate in a gas flow: recent results and conjectures
Igor Chueshov, Earl H. Dowell, Irena Lasiecka +1
We give a survey of recent results on flow-structure interactions modeled by a modified wave equation coupled at an interface with equations of nonlinear elasticity. Both subsonic…
Minimal subspace rotation on the Stiefel manifold for stabilization and enhancement of projection-based reduced order models for the compressible Navier-Stokes equations
Maciej Balajewicz, Irina Tezaur, Earl Dowell
For a projection-based reduced order model (ROM) of a fluid flow to be stable and accurate, the dynamics of the truncated subspace must be taken into account. This paper proposes a…
A Novel Model Order Reduction Approach for Navier-Stokes Equations at High Reynolds Number
Maciej Balajewicz, Earl Dowell, Bernd Noack
A new approach to model order reduction of the Navier-Stokes equations at high Reynolds number is proposed. Unlike traditional approaches, this method does not rely on empirical tu…