Combining CFD and artificial neural network techniques to predict vortex-induced vibration mechanism for wind turbine tower hoisting

DOI10.1016/j.cnsns.2022.106688zbMath1496.76108OpenAlexW4289307805WikidataQ114196412 ScholiaQ114196412MaRDI QIDQ2160971

Yanyan Li

Publication date: 3 August 2022

Published in: Communications in Nonlinear Science and Numerical Simulation (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.cnsns.2022.106688

zbMATH Keywords

arbitrary Lagrangian-Eulerian methodhybrid meta-modelspiral flow-disturbing device

Mathematics Subject Classification ID

Navier-Stokes equations for incompressible viscous fluids (76D05) Fluid-solid interactions (including aero- and hydro-elasticity, porosity, etc.) (74F10) Basic methods in fluid mechanics (76M99)

Uses Software

• ANSYS

Cites Work

• Numerical study and physical analysis of the pressure and velocity fields in the near wake of a circular cylinder
• V<scp>ORTEX</scp>-I<scp>NDUCED</scp> V<scp>IBRATIONS</scp>
• A logical calculus of the ideas immanent in nervous activity
• Direct numerical simulations of fluid-solid systems using the arbitrary Lagrangian-Eulerian technique.