Yuhua Cui , Tao Zeng , Meiling Fan , Rina Wu , Guodong Xu , Xiaohong Wang , Jue Zhao
{"title":"Dynamic analysis of viscoelastic functionally graded porous beams using an improved Bernstein polynomials algorithm","authors":"Yuhua Cui , Tao Zeng , Meiling Fan , Rina Wu , Guodong Xu , Xiaohong Wang , Jue Zhao","doi":"10.1016/j.chaos.2024.115698","DOIUrl":null,"url":null,"abstract":"<div><div>Functionally graded porous (FGP) materials have significant application potential because they can achieve many specific applications by controlling porosity and material composition. However, most current research has little emphasis on the vibration characteristics of FGP materials with viscoelastic properties. To address this issue, this article presents an improved Bernstein polynomials algorithm to establish the governing equation for analyzing the vibration response of fractional-order viscoelastic FGP beams. This method effectively resolves instability problems associated with boundary conditions. Single step Adams scheme and Newmark-β method are then utilized to solve the governing equation of the viscoelastic FGP beams. The accuracy of the proposed method is confirmed through comparison with the results obtained from the finite element method. A parametric investigation is conducted to explore the impact of porosity and its distribution pattern, power law index, boundary condition, fractional order, and viscoelasticity coefficient on the vibration characteristics of the viscoelastic FGP beams. These findings suggest that desirable dynamic properties for FGP beams can be achieved through tailoring their material gradient and porosity distribution.</div></div>","PeriodicalId":9764,"journal":{"name":"Chaos Solitons & Fractals","volume":null,"pages":null},"PeriodicalIF":5.3000,"publicationDate":"2024-11-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Chaos Solitons & Fractals","FirstCategoryId":"100","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0960077924012505","RegionNum":1,"RegionCategory":"数学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"MATHEMATICS, INTERDISCIPLINARY APPLICATIONS","Score":null,"Total":0}
引用次数: 0
Abstract
Functionally graded porous (FGP) materials have significant application potential because they can achieve many specific applications by controlling porosity and material composition. However, most current research has little emphasis on the vibration characteristics of FGP materials with viscoelastic properties. To address this issue, this article presents an improved Bernstein polynomials algorithm to establish the governing equation for analyzing the vibration response of fractional-order viscoelastic FGP beams. This method effectively resolves instability problems associated with boundary conditions. Single step Adams scheme and Newmark-β method are then utilized to solve the governing equation of the viscoelastic FGP beams. The accuracy of the proposed method is confirmed through comparison with the results obtained from the finite element method. A parametric investigation is conducted to explore the impact of porosity and its distribution pattern, power law index, boundary condition, fractional order, and viscoelasticity coefficient on the vibration characteristics of the viscoelastic FGP beams. These findings suggest that desirable dynamic properties for FGP beams can be achieved through tailoring their material gradient and porosity distribution.
期刊介绍:
Chaos, Solitons & Fractals strives to establish itself as a premier journal in the interdisciplinary realm of Nonlinear Science, Non-equilibrium, and Complex Phenomena. It welcomes submissions covering a broad spectrum of topics within this field, including dynamics, non-equilibrium processes in physics, chemistry, and geophysics, complex matter and networks, mathematical models, computational biology, applications to quantum and mesoscopic phenomena, fluctuations and random processes, self-organization, and social phenomena.