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    Seismic Site Classification from Surface Wave Data to Vs,30 without Inversion

    Source: Journal of Geotechnical and Geoenvironmental Engineering:;2021:;Volume ( 147 ):;issue: 006::page 04021029-1
    Author:
    Shibin Lin
    ,
    Nenad Gucunski
    ,
    Sadegh Shams
    ,
    Yujin Wang
    DOI: 10.1061/(ASCE)GT.1943-5606.0002526
    Publisher: ASCE
    Abstract: Surface wave methods have been extensively employed to estimate time-averaged shear-wave velocity (Vs) to 30  m (Vs,30) for seismic site classification. However, the inversion of surface wave dispersion data for Vs profiling is inherently computationally intensive. To overcome the challenge involved in surface-wave inversion, a new method is proposed to directly estimate Vs,30 from surface wave fundamental-mode dispersion data without inversion. The new method is based on the concept that the phase velocity of surface waves (VR) at a given frequency (f) is proportional to the average shear-wave velocity of soils within one-half of the wavelength (λ=VR/f). The proposed method starts from calculating the Vs of the top layer as it can be directly estimated from the phase velocity of surface waves whose half wavelengths are smaller than the thickness of the top layer. Likewise, the Vs of the second layer can be deduced from the top layer Vs along with the phase velocity of surface waves whose half wavelengths are within the thickness range of the second layer. Through such a repetition of sequence-deduction, the Vss of the other layers can be calculated. This method is verified with five case studies that cover typical geotechnical sites. Results indicate that the proposed method can obtain a similar Vs,30 with the same site classification for seismic design in comparison with invasive tests and inversion techniques.
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      Seismic Site Classification from Surface Wave Data to Vs,30 without Inversion

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    http://yetl.yabesh.ir/yetl1/handle/yetl/4271513
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    contributor authorShibin Lin
    contributor authorNenad Gucunski
    contributor authorSadegh Shams
    contributor authorYujin Wang
    date accessioned2022-02-01T00:29:27Z
    date available2022-02-01T00:29:27Z
    date issued6/1/2021
    identifier other%28ASCE%29GT.1943-5606.0002526.pdf
    identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4271513
    description abstractSurface wave methods have been extensively employed to estimate time-averaged shear-wave velocity (Vs) to 30  m (Vs,30) for seismic site classification. However, the inversion of surface wave dispersion data for Vs profiling is inherently computationally intensive. To overcome the challenge involved in surface-wave inversion, a new method is proposed to directly estimate Vs,30 from surface wave fundamental-mode dispersion data without inversion. The new method is based on the concept that the phase velocity of surface waves (VR) at a given frequency (f) is proportional to the average shear-wave velocity of soils within one-half of the wavelength (λ=VR/f). The proposed method starts from calculating the Vs of the top layer as it can be directly estimated from the phase velocity of surface waves whose half wavelengths are smaller than the thickness of the top layer. Likewise, the Vs of the second layer can be deduced from the top layer Vs along with the phase velocity of surface waves whose half wavelengths are within the thickness range of the second layer. Through such a repetition of sequence-deduction, the Vss of the other layers can be calculated. This method is verified with five case studies that cover typical geotechnical sites. Results indicate that the proposed method can obtain a similar Vs,30 with the same site classification for seismic design in comparison with invasive tests and inversion techniques.
    publisherASCE
    titleSeismic Site Classification from Surface Wave Data to Vs,30 without Inversion
    typeJournal Paper
    journal volume147
    journal issue6
    journal titleJournal of Geotechnical and Geoenvironmental Engineering
    identifier doi10.1061/(ASCE)GT.1943-5606.0002526
    journal fristpage04021029-1
    journal lastpage04021029-12
    page12
    treeJournal of Geotechnical and Geoenvironmental Engineering:;2021:;Volume ( 147 ):;issue: 006
    contenttypeFulltext
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    DSpace software copyright © 2002-2015  DuraSpace
    نرم افزار کتابخانه دیجیتال "دی اسپیس" فارسی شده توسط یابش برای کتابخانه های ایرانی | تماس با یابش
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