On the ratio of expectation crossings of random-excited dielectric elastomer balloon

The ratio of expectation crossings of dielectric elastomer balloon excited by random pressure is analytically evaluated in this letter. The Mooney–Rivlin model is adopted to describe the constitutive relation while the random pressure is described by Gaussian white noise. Through a specific transfor...

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Main Authors: Xiaoling Jin, Yong Wang, Zhilong Huang
Format: Article
Language:English
Published: Elsevier 2017-03-01
Series:Theoretical and Applied Mechanics Letters
Subjects:
Online Access:http://www.sciencedirect.com/science/article/pii/S2095034917300302
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spelling doaj-807538aaf9634667b5e858612e55ddcb2020-11-24T21:03:01ZengElsevierTheoretical and Applied Mechanics Letters2095-03492017-03-017210010410.1016/j.taml.2017.03.005On the ratio of expectation crossings of random-excited dielectric elastomer balloonXiaoling Jin0Yong Wang1Zhilong Huang2Department of Engineering Mechanics, Zhejiang University, Hangzhou 310027, ChinaDepartment of Engineering Mechanics, Zhejiang University, Hangzhou 310027, ChinaDepartment of Engineering Mechanics, Zhejiang University, Hangzhou 310027, ChinaThe ratio of expectation crossings of dielectric elastomer balloon excited by random pressure is analytically evaluated in this letter. The Mooney–Rivlin model is adopted to describe the constitutive relation while the random pressure is described by Gaussian white noise. Through a specific transformation, the stochastic differential equations for the total energy and phase are derived. With the application of the stochastic averaging, the system total energy is then approximated by a one-dimensional diffusion process. Solving the associated Fokker–Planck–Kolmogorov (FPK) equation yields the stationary probability density of the system total energy. The ratio of expectation crossings is then derived based on the joint stationary probability density of stretch ratio and its ratio of change. The efficacy and accuracy of the proposed procedure are verified by comparing with the results from Monte Carlo simulation (MCS).http://www.sciencedirect.com/science/article/pii/S2095034917300302Dielectric elastomer balloonRatio of expectation crossingsRandom pressureStochastic averaging
collection DOAJ
language English
format Article
sources DOAJ
author Xiaoling Jin
Yong Wang
Zhilong Huang
spellingShingle Xiaoling Jin
Yong Wang
Zhilong Huang
On the ratio of expectation crossings of random-excited dielectric elastomer balloon
Theoretical and Applied Mechanics Letters
Dielectric elastomer balloon
Ratio of expectation crossings
Random pressure
Stochastic averaging
author_facet Xiaoling Jin
Yong Wang
Zhilong Huang
author_sort Xiaoling Jin
title On the ratio of expectation crossings of random-excited dielectric elastomer balloon
title_short On the ratio of expectation crossings of random-excited dielectric elastomer balloon
title_full On the ratio of expectation crossings of random-excited dielectric elastomer balloon
title_fullStr On the ratio of expectation crossings of random-excited dielectric elastomer balloon
title_full_unstemmed On the ratio of expectation crossings of random-excited dielectric elastomer balloon
title_sort on the ratio of expectation crossings of random-excited dielectric elastomer balloon
publisher Elsevier
series Theoretical and Applied Mechanics Letters
issn 2095-0349
publishDate 2017-03-01
description The ratio of expectation crossings of dielectric elastomer balloon excited by random pressure is analytically evaluated in this letter. The Mooney–Rivlin model is adopted to describe the constitutive relation while the random pressure is described by Gaussian white noise. Through a specific transformation, the stochastic differential equations for the total energy and phase are derived. With the application of the stochastic averaging, the system total energy is then approximated by a one-dimensional diffusion process. Solving the associated Fokker–Planck–Kolmogorov (FPK) equation yields the stationary probability density of the system total energy. The ratio of expectation crossings is then derived based on the joint stationary probability density of stretch ratio and its ratio of change. The efficacy and accuracy of the proposed procedure are verified by comparing with the results from Monte Carlo simulation (MCS).
topic Dielectric elastomer balloon
Ratio of expectation crossings
Random pressure
Stochastic averaging
url http://www.sciencedirect.com/science/article/pii/S2095034917300302
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AT zhilonghuang ontheratioofexpectationcrossingsofrandomexciteddielectricelastomerballoon
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