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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
    • 2017当选:福建省“闽江学者奖励计划”特聘教授
    • 福建省引进高层次人才(海外B类)

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    KF-based multi-scale response reconstruction under unknown inputs with data fusion of multi-type observations

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    发表刊物:Journal of Aerospace Engineering

    摘要:Utilization of multitype measurements including local and global information for structural health monitoring (SHM) has typically outperformed that using solo-type measurements. However, in many practical situations, only partial measurements can be obtained. Therefore, multiscale response reconstruction at the key locations of interest where sensors are not available is required. The Kalman filter (KF) is a powerful tool for optimally estimating the unknown structural states. The classical KF technique is, however, not applicable when the external excitations are unknown. In this paper, a KF-based multiscale response reconstruction under unknown input (MSRR-UI) approach is proposed to circumvent the aforementioned limitations. Based on the principle of KF, an analytical recursive solution of the proposed approach is derived and given. By using a projection matrix, a revised version of the observation equation is obtained. Multitype measurements in a few locations are fused together for response reconstruction. The unknown loading is simultaneously estimated by least-squares estimation (LSE). The effectiveness of the proposed approach is demonstrated via several numerical examples.

    论文类型:期刊论文

    文献类型:J

    卷号:32

    期号:4

    页面范围:04019038

    是否译文:

    发表时间:2019-09-04

    收录刊物:SCI

    影响因子:2.242

    第一作者:贺佳

    合写作者:张肖雄,许斌