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[期刊论文]

Parameter identification of degrading and pinched hysteretic systems using a modified Bouc–Wen model

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author:

Pelliciari, Matteo (Pelliciari, Matteo.) [1] | Marano, Giuseppe Carlo (Marano, Giuseppe Carlo.) [2] | Cuoghi, Tommaso (Cuoghi, Tommaso.) [3] | Unfold

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EI

Abstract:

The Bouc–Wen (BW) model is a successful differential equations model used to describe a wide range of nonlinear hysteretic systems. However, it is unable to describe force degradation, stiffness degradation and pinching effects. Therefore, Baber and Noori proposed a generalisation, developing the Bouc–Wen–Baber–Noori (BWBN) model. Nevertheless, it is composed of many parameters and complex pinching and degrading functions. Thus, it is necessary to develop a simpler and reliable model to be used for practical applications. In this paper, a modified BW model is proposed. It involves a more direct physical meaning of each parameter and allows achieving a substantial reduction of computational effort and numerical deficiencies. This is obtained through simpler pinching and degrading functions that entail a decrease of the number of parameters. The result is a straightforward model, capable of predicting the behaviour of degrading and pinched hysteretic systems. An application of the proposed scheme to a real case is also presented, in which reinforced concrete bridge piers that were physically tested in the laboratory are considered. The force–displacement data are used to perform the identification process of the model parameters via a Genetic Algorithm. The numerical results are accurate since they coincide with the experimental ones. © 2018, © 2018 Informa UK Limited, trading as Taylor & Francis Group.

Keyword:

Bridge piers Bridges Differential equations Evolutionary algorithms Genetic algorithms Hysteresis Identification (control systems) Mathematical models Nonlinear analysis Nonlinear equations Parameter estimation Piers Reinforced concrete Stiffness

Community:

  • [ 1 ] [Pelliciari, Matteo]‘Enzo Ferrari’ Engineering Department, University of Modena and Reggio Emilia, Modena, Italy
  • [ 2 ] [Marano, Giuseppe Carlo]College of Civil Engineering, Fuzhou University, Fuzhou, China
  • [ 3 ] [Cuoghi, Tommaso]‘Enzo Ferrari’ Engineering Department, University of Modena and Reggio Emilia, Modena, Italy
  • [ 4 ] [Briseghella, Bruno]College of Civil Engineering, Fuzhou University, Fuzhou, China
  • [ 5 ] [Lavorato, Davide]Department of Architecture, Roma Tre University, Rome, Italy
  • [ 6 ] [Tarantino, Angelo Marcello]‘Enzo Ferrari’ Engineering Department, University of Modena and Reggio Emilia, Modena, Italy

Reprint 's Address:

  • [pelliciari, matteo]‘enzo ferrari’ engineering department, university of modena and reggio emilia, modena, italy

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Source :

Structure and Infrastructure Engineering

ISSN: 1573-2479

Year: 2018

Issue: 12

Volume: 14

Page: 1573-1585

2 . 4 3

JCR@2018

2 . 6 0 0

JCR@2023

ESI HC Threshold:170

JCR Journal Grade:2

CAS Journal Grade:3

Cited Count:

WoS CC Cited Count:

SCOPUS Cited Count: 61

30 Days PV: 1

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