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contributor authorZhu, Haitao
contributor authorXu, Yangang
contributor authorYu, Yang
contributor authorXu, Lixin
date accessioned2022-02-05T21:58:01Z
date available2022-02-05T21:58:01Z
date copyright4/12/2021 12:00:00 AM
date issued2021
identifier issn1555-1415
identifier othercnd_016_05_051004.pdf
identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4276656
description abstractA path integration procedure based on Gauss–Legendre integration scheme is developed to analyze probabilistic solution of nonlinear vibration energy harvesters (VEHs) in this paper. First, traditional energy harvesters are briefly introduced, and their nondimensional governing and moment equations are given. These moment equations can be solved through the Runge–Kutta and Gaussian closure method. Then, the path integration method is extended to three-dimensional situation, solving the probability density function (PDF) of VEH. Three illustrative examples are considered to evaluate the effectiveness of this method. The effectiveness of nonlinearity of traditional monostable VEH is studied. The bistable VEH is further studied too. At the same time, equivalent linearization method (EQL) and Monte Carlo simulation (MCS) are employed. The results indicate that three-dimensional path integration method can give satisfactory results for the global PDF, especially when solving bistable VEH problems. The results of this method have better consistency with the simulation results than those of EQL. In addition, different degrees of hardening and softening behaviors of PDFs occur when the magnitude of nonlinearity coefficient increases or the bistable VEH is considered.
publisherThe American Society of Mechanical Engineers (ASME)
titleStationary Response of Nonlinear Vibration Energy Harvesters by Path Integration
typeJournal Paper
journal volume16
journal issue5
journal titleJournal of Computational and Nonlinear Dynamics
identifier doi10.1115/1.4050612
journal fristpage051004-1
journal lastpage051004-11
page11
treeJournal of Computational and Nonlinear Dynamics:;2021:;volume( 016 ):;issue: 005
contenttypeFulltext


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