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    Identification of Hydraulic Structural Parameters under Limited Input Earthquake Records

    Source: Journal of Performance of Constructed Facilities:;2019:;Volume ( 033 ):;issue: 002
    Author:
    Wen Qiao; Renkun Li
    DOI: 10.1061/(ASCE)CF.1943-5509.0001238
    Publisher: American Society of Civil Engineers
    Abstract: For large hydraulic structures such as concrete gravity dams, it is hard to collect the input signal from the bedrock. On behalf of identifying the modal frequency and damping ratio of a concrete gravity dam, the Random Decrement Technique (RDT) with the Hilbert-Huang Transform (HHT) were combined to derive the relationship between the nonlinear nonstationary signal and the modal parameter. This was achieved by the following process: (1) the original signal was filtered using a band pass filter to reflect structural intrinsic vibration characteristics; (2) the multiple intrinsic modal functions were then obtained using Empirical Mode Decomposition (EMD); (3) RDT was used for extracting free attenuation functions from the intrinsic modal functions afterward; and (4) finally, Hilbert Transform (HT) was used to the free attenuation functions, combined with the least squares fitting method, to gain the structure modal frequency and damping ratio. The feasibility of this method was verified using three earthquake acceleration records (2007 and 2008) from the Shuikou concrete gravity dam. For analyzing the accuracy, merits and demerits of this means, our consequences were compared with those obtained using the Peak Point Picking Method (PPP) in the frequency domain, the Autoregressive model with Exogenous (ARX) in the time domain, the Natural Excitation Technique (NExT) united with Hilbert-Huang Transform in the time-frequency domain, and Finite Element Method (FEM). Findings from this study indicate that the proposed approach can be utilized for nonlinear nonstationary signals well.
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      Identification of Hydraulic Structural Parameters under Limited Input Earthquake Records

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    https://yetl.yabesh.ir/yetl1/handle/yetl/4254581
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    contributor authorWen Qiao; Renkun Li
    date accessioned2019-03-10T11:58:38Z
    date available2019-03-10T11:58:38Z
    date issued2019
    identifier other%28ASCE%29CF.1943-5509.0001238.pdf
    identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4254581
    description abstractFor large hydraulic structures such as concrete gravity dams, it is hard to collect the input signal from the bedrock. On behalf of identifying the modal frequency and damping ratio of a concrete gravity dam, the Random Decrement Technique (RDT) with the Hilbert-Huang Transform (HHT) were combined to derive the relationship between the nonlinear nonstationary signal and the modal parameter. This was achieved by the following process: (1) the original signal was filtered using a band pass filter to reflect structural intrinsic vibration characteristics; (2) the multiple intrinsic modal functions were then obtained using Empirical Mode Decomposition (EMD); (3) RDT was used for extracting free attenuation functions from the intrinsic modal functions afterward; and (4) finally, Hilbert Transform (HT) was used to the free attenuation functions, combined with the least squares fitting method, to gain the structure modal frequency and damping ratio. The feasibility of this method was verified using three earthquake acceleration records (2007 and 2008) from the Shuikou concrete gravity dam. For analyzing the accuracy, merits and demerits of this means, our consequences were compared with those obtained using the Peak Point Picking Method (PPP) in the frequency domain, the Autoregressive model with Exogenous (ARX) in the time domain, the Natural Excitation Technique (NExT) united with Hilbert-Huang Transform in the time-frequency domain, and Finite Element Method (FEM). Findings from this study indicate that the proposed approach can be utilized for nonlinear nonstationary signals well.
    publisherAmerican Society of Civil Engineers
    titleIdentification of Hydraulic Structural Parameters under Limited Input Earthquake Records
    typeJournal Paper
    journal volume33
    journal issue2
    journal titleJournal of Performance of Constructed Facilities
    identifier doi10.1061/(ASCE)CF.1943-5509.0001238
    page04018112
    treeJournal of Performance of Constructed Facilities:;2019:;Volume ( 033 ):;issue: 002
    contenttypeFulltext
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