Technical Papers
Mar 23, 2021

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

Publication: Journal of Geotechnical and Geoenvironmental Engineering
Volume 147, Issue 6

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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Data Availability Statement

Some or all data, models, or code that support the findings of this study are available from the corresponding author upon reasonable request.

Acknowledgments

The authors gratefully acknowledge the sponsorship of the National Key Research and Development Program of China (2019YFC1511000), the National Natural Science Foundation of China (51908104 and 52008072), the Scientific Research Fund of the Institute of Engineering Mechanics, China Earthquake Administration (2020D08), the Postdoctoral Science Foundation of China (2019M660597), the Fundamental Research Funds for the Central Universities of China [DUT18RC(3)077], and the Scientific Research Funds of the Education Department of Liaoning Province (QL202011).

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Go to Journal of Geotechnical and Geoenvironmental Engineering
Journal of Geotechnical and Geoenvironmental Engineering
Volume 147Issue 6June 2021

History

Received: Feb 11, 2020
Accepted: Jan 25, 2021
Published online: Mar 23, 2021
Published in print: Jun 1, 2021
Discussion open until: Aug 23, 2021

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Shibin Lin, Ph.D., A.M.ASCE [email protected]
Associate Professor, School of Civil Engineering, Dalian Univ. of Technology, Dalian 116024, China; Postdoctoral Research Associate, Jangho Group Company Limited, No. 5 Niuhui North Fifth St., Beijing 101300, China. Email: [email protected]
Nenad Gucunski, Ph.D., A.M.ASCE [email protected]
Professor, Dept. of Civil and Environmental Engineering, Rutgers Univ., 96 Frelinghuysen Rd., Piscataway, NJ 08854. Email: [email protected]
Sadegh Shams, Ph.D. [email protected]
Research Engineer, Genex Systems, Turner-Fairbank Highway Research Center, 6300 Georgetown Pike, McLean, VA 22101. Email: [email protected]
Yujin Wang, Ph.D. [email protected]
Lecturer, College of Ocean and Civil Engineering, Dalian Ocean Univ., Dalian 116023, China; Postdoctoral Research Associate, Jangho Group Company Limited, No. 5 Niuhui North Fifth St., Beijing 101300, China (corresponding author). Email: [email protected]

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