A review of flow-induced vibration energy harvesters
X Ma, S Zhou - Energy Conversion and Management, 2022 - Elsevier
With the rapid development of wireless sensor networks, medical equipment, and
microelectromechanical systems, providing clean and self-sustained energy for these …
microelectromechanical systems, providing clean and self-sustained energy for these …
Data-driven modeling for unsteady aerodynamics and aeroelasticity
Aerodynamic modeling plays an important role in multiphysics and design problems, in
addition to experiment and numerical simulation, due to its low-dimensional representation …
addition to experiment and numerical simulation, due to its low-dimensional representation …
A generalized van der Pol nonlinear model of vortex-induced vibrations of bridge decks with multistability
The mathematical model of vortex-induced vibrations (VIV) on long-span bridges is
important to predict nonlinear structural responses. Such models can be divided into two …
important to predict nonlinear structural responses. Such models can be divided into two …
Review of the excitation mechanism and aerodynamic flow control of vortex-induced vibration of the main girder for long-span bridges: A vortex-dynamics approach
Two vortex-induced vibration (VIV) events of the main girder of long-span bridges
successively happened on the Yingwuzhou suspension bridge and Humen suspension …
successively happened on the Yingwuzhou suspension bridge and Humen suspension …
An improved criterion to select dominant modes from dynamic mode decomposition
Dynamic mode decomposition (DMD) has been extensively utilized to analyze the coherent
structures in many complex flows. Although specific flow patterns with dominant frequency …
structures in many complex flows. Although specific flow patterns with dominant frequency …
Deep neural network for unsteady aerodynamic and aeroelastic modeling across multiple Mach numbers
Aerodynamic reduced-order model (ROM) is a useful tool to predict nonlinear unsteady
aerodynamics with reasonable accuracy and very low computational cost. The efficacy of …
aerodynamics with reasonable accuracy and very low computational cost. The efficacy of …
Periodic solutions and frequency lock-in of vortex-induced vibration energy harvesters with nonlinear stiffness
The phenomenon of amplitude jump usually means the presence of multi-solution ranges
and unstable periodic solutions, which has not been fully explored in the field of vortex …
and unstable periodic solutions, which has not been fully explored in the field of vortex …
Active control of vortex-induced vibration of a circular cylinder using machine learning
We demonstrate the use of high-fidelity computational fluid dynamics simulations in machine-
learning based active flow control. More specifically, for the first time, we adopt the genetic …
learning based active flow control. More specifically, for the first time, we adopt the genetic …
Active flow control using machine learning: A brief review
Nowadays the rapidly develo** artificial intelligence has become a key solution for
problems of diverse disciplines, especially those involving big data. Successes in these …
problems of diverse disciplines, especially those involving big data. Successes in these …
Wide-bandwidth triboelectric energy harvester combining impact nonlinearity and multi-resonance method
This paper presents a novel wide-bandwidth triboelectric energy harvester (WBTEH) that
takes advantage of impact nonlinearity and multi-resonance. The harvester features a …
takes advantage of impact nonlinearity and multi-resonance. The harvester features a …