We're at the start of a nonlinear move in innovation thanks to the hyperconnecting of the world — through social media, mobile/wireless devices and cloud computing — which is putting cheap innovation devices into the hands of so many more people, enabling them to collaborate on invention is so many new ways.
In order to reinforce cluster breakpoints, a nonlinear moving average ratio is firstly introduced on CIRs.
Moreover, both nonlinear moving average models and NARMAX ones have been designed.
The best performance is given by MLP neural networks and nonlinear LSQ, all of them implementing Nonlinear Moving Average models.
The fluid, elastic structure and the poroelastic material are fully coupled, giving rise to a nonlinear, moving boundary problem with novel energy estimates.
We study a nonlinear, moving boundary fluid structure interaction (FSI) problem between an incompressible, viscous Newtonian fluid, modeled by the 2D Navier Stokes equations, and an elastic structure modeled by the shell or plate equations.
Unlike most existing flow models, the present model does not include any linearization assumptions; it rather solves the entire nonlinear, moving boundary, flow problem under conditions leading to large interfacial deformations.
Linear and nonlinear Moving Average models based on MLP neural networks have been designed to take into account the two different working points of the process and different strategies are compared.
The main purpose of this study is to investigate the improvement of bridge structures to increase the safety of moving trains during earthquakes using finite element analyses, where nonlinear moving wheel elements are used to simulate the contact and separation modes of rails and wheels.
We improve upon existing techniques and develop new finite difference, ghost fluid/level set methods to attain full second-order accuracy for the first time in the context of a fully coupled, nonlinear moving boundary problem with geometric boundary conditions (curvature).
