Estimation Study on Shear Wave Velocity of Seabed Using GRNN

Sheng Jie Di; Zhi Gang Shan; Xue Yong Xu

doi:10.4028/www.scientific.net/AMM.580-583.264

Paper Titles

A General Criterion for Complex Rocks and Soils and its Application
p.243

A Method to Determine GSI Value by Using P-Velocity and its Application in Engineering
p.250

Analysis of Engineering Characteristics of Cement Soil with Low Mix Additions
p.256

Energy Characteristics of Brittle Rock in Failure Process
p.260

Estimation Study on Shear Wave Velocity of Seabed Using GRNN
p.264

P-Wave Attenuation Mechanism of Calcareous Sand under Explosion
p.268

Response of Non-Homogeneous Saturated Soils and Free-Field to Incident Plane SH Wave
p.273

Study of Key Parameters in the Process of Aeolian Sand Compactibility
p.278

Construction Techniques and Mechanism of Pre-Anchoring Fissured Stope Hangingwall by Fully-Grouted Cable Bolts
p.283

HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 580-583Estimation Study on Shear Wave Velocity of Seabed...

Estimation Study on Shear Wave Velocity of Seabed Using GRNN

Abstract:

Characterization of the shear wave velocity of soils is an integral component of various seismic analysis, including site classification, hazard analysis, site response analysis, and soil-structure interaction. Shear wave velocity at offshore sites of the coastal regions can be measured by the suspension logging method according to the economic applicability. The study presents some methods for estimating the shear wave velocity profiles in the absence of site-specific shear wave velocity data. By applying generalized regression neural network (GRNN) for the estimation of in-situ shear wave velocity, it shows good performances. Therefore, this estimation method is worthy of being recommended in the later engineering practice.

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Periodical:

Applied Mechanics and Materials (Volumes 580-583)

Pages:

264-267

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.580-583.264

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Online since:

July 2014

Authors:

Sheng Jie Di*, Zhi Gang Shan, Xue Yong Xu

Keywords:

In Situ Test, GRNN, Offshore Engineering, Prediction Method, Shear Wave Velocity

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* - Corresponding Author

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