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Author:

Sun, Hao (Sun, Hao.) | Chen, Jie (Chen, Jie.)

Indexed by:

EI Scopus SCIE

Abstract:

Moving loads induced nonlinear vibrations in beams are commonly encountered in various engineering applications, and the resulting responses can be greater than those under equivalent static loads. In this paper, an inertial nonlinear energy sink (NES) is used for the first time to reduce the nonlinear vibration of graphene platelet (GPL) reinforced porous nanocomposite beams under moving loads. Based on the von K & aacute;rm & aacute;n nonlinear theory, the governing equations of the GPL reinforced metal foam beam with an inertial NES are derived using the energy method and Lagrange equation. The Newmark-Newton method combined with the Heaviside step function is adopted to determine the nonlinear responses of the beam under moving loads of constant amplitude and harmonic excitation. An optimization procedure is conducted to optimize the NES parameters to enhance the effectiveness of the inertial NES under different moving load conditions. The optimized inertial NES can effectively reduce the maximum deflection of the beam and achieve better overall performance. The results of this paper provide an important reference for understanding and applying inertial NES to suppress the vibration of composite structures induced by moving loads.

Keyword:

Moving load Metal foams Porous nanocomposites Nonlinear energy sink Vibration control

Author Community:

  • [ 1 ] [Sun, Hao]Beijing Univ Technol, Coll Mech & Energy Engn, Beijing 100124, Peoples R China
  • [ 2 ] [Sun, Hao]Beijing Univ Technol, Sch Math Stat & Mech, Beijing 100124, Peoples R China
  • [ 3 ] [Chen, Jie]Beijing Univ Technol, Sch Math Stat & Mech, Beijing 100124, Peoples R China
  • [ 4 ] [Chen, Jie]Beijing Univ Technol, Beijing Key Lab Nonlinear Vibrat & Strength Mech S, Beijing 100124, Peoples R China

Reprint Author's Address:

  • [Chen, Jie]Beijing Univ Technol, Sch Math Stat & Mech, Beijing 100124, Peoples R China;;

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Source :

ENGINEERING STRUCTURES

ISSN: 0141-0296

Year: 2024

Volume: 321

5 . 5 0 0

JCR@2022

Cited Count:

WoS CC Cited Count: 2

SCOPUS Cited Count: 1

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 9

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