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    许斌

    • 教授 博士生导师 硕士生导师
    • 主要任职:Director and Founder, Key Laboratory for Intelligent Infrastructure and Monitoring of Fujian Province
    • 性别:男
    • 出生日期:1972-03-04
    • 毕业院校:Ibaraki University
    • 学历:博士研究生
    • 学位:工学博士学位
    • 入职时间:2016-08-01
    • 所在单位:土木工程学院土木工程系
    • 办公地点:College of Civil Engineering, Huaqiao University, Jimei Avenue 668, Xiamen, China
    • 电子邮箱:
    • 在职信息:在岗
    • 其他任职:Director and Founder, International Research Center for Safety and Sustainability of Civil Engineering
    • 职务:Director, Key Laboratory
    • 学科:土木工程
    • 2008当选:教育部“新世纪优秀人才支持计划”入选者
    • 2008当选:教育部新世纪优秀人才支持计划
    • 2016当选:桐江学者
    • 2017当选:福建省“闽江学者奖励计划”特聘教授
    • 2017当选:厦门市双百计划
    • 2017当选:福建省闽江学者-特聘教授
    • 2018当选:福建省引进高层次人才
    • 福建省引进高层次人才(海外B类)

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    Structural nonlinearity and mass identification with a nonparametric model using limited acceleration measurements

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    发表刊物:Advances in Structural Engineering

    摘要:Structural nonlinearity identification is critical for post-event damage detection or condition evaluation of engineering structures after strong dynamic excitation such as earthquake where structural nonlinear behaviour should be considered. Structural nonlinear restoring force provides direct indicator describing structural damage initiation and development procedure. Considering the availability of structural dynamic response measurement and the difficulty in defining a parametric model for structural nonlinearity and in estimating structure mass accurately in practice, in this article, a time-domain structural nonlinear restoring force and mass identification approach for multi-degree-of-freedom structures under incomplete excitation using limited acceleration measurements but without using any parametric models of structural nonlinear restoring force is proposed. At first, a memory fading extended Kalman filter with a weighted globl iteration (MF-EKF-WGI) is used to identify the location of nonlinearities and then a Chebyshev polynomial nonparametric model is introduced to model the nonlinear restoring force. The unscented Kalman filter is used to identify the structural responses and the parameters of the Chebyshev polynomial to describe structural nonlinearity. Numerical and experimental studies with a four-storey frame model structure equipped with a magnetorheological damper, which is employed to mimic structural nonlinear behaviour, under impact excitations are carried out to validate the performance of the proposed approach using acceleration measurements at certain degrees of freedom. Numerical and experimental results show that the proposed approach is capable of identifying both structural nonlinear restoring force and mass with acceptable accuracy even with a very rough initial mass estimation. The proposed time-domain identification approach can be used to detect structural damage initiation and development process and to evaluate energy consumption quantitatively of engineering structures under dynamic loadings.

    论文类型:期刊论文

    文献类型:J

    卷号:22

    期号:4

    页面范围:1018-1031

    是否译文:

    发表时间:2019-03-07

    收录刊物:SCI

    影响因子:2.438

    第一作者:许斌

    合写作者:邓百川,李靖,贺佳