Mapping Depth to Bedrock, Shear Stiffness, and Fundamental Site Period at CentrePort, Wellington, Using Surface‐Wave Methods: Implications for Local Seismic Site Amplification

2018 ◽  
Vol 108 (3B) ◽  
pp. 1709-1721 ◽  
Author(s):  
Joseph Vantassel ◽  
Brady Cox ◽  
Liam Wotherspoon ◽  
Andrew Stolte
Keyword(s):  
Surface Wave ◽  
Shear Stiffness ◽  
Site Amplification ◽  
Wave Methods ◽  
Site Period ◽  
Mapping Depth

Recent advances in high-frequency surface-wave methods

2015 ◽  
Author(s):  
Jianghai Xia ◽  
Lingli Gao ◽  
Yudi Pan ◽  
Chao Shen
Keyword(s):  
Surface Wave ◽  
High Frequency ◽  
Recent Advances ◽  
Wave Methods

Imaging in Karst Terrain Using Electrical Resistivity Tomography and Surface Wave Methods

2012 ◽  
Author(s):  
Evgeniy Torgashov ◽  
Neil Anderson ◽  
Mengxing Li ◽  
Ahmed Ismail ◽  
Adel Elkrry
Keyword(s):  
Electrical Resistivity ◽  
Surface Wave ◽  
Electrical Resistivity Tomography ◽  
Resistivity Tomography ◽  
Karst Terrain ◽  
Wave Methods

Tunnel detection at Yuma Proving Ground, Arizona, USA — Part 1: 2D full-waveform inversion experiment

Geophysics ◽  
2019 ◽  
Vol 84 (1) ◽  
pp. B95-B105 ◽  
Author(s):  
Yao Wang ◽  
Richard D. Miller ◽  
Shelby L. Peterie ◽  
Steven D. Sloan ◽  
Mark L. Moran ◽  
...  
Keyword(s):  
Surface Wave ◽  
Waveform Inversion ◽  
Velocity Profiles ◽  
Infinite Length ◽  
Full Waveform Inversion ◽  
S Wave ◽  
Near Surface ◽  
Tunnel Detection ◽  
Full Waveform ◽  
Wave Methods

We have applied time domain 2D full-waveform inversion (FWI) to detect a known 10 m deep wood-framed tunnel at Yuma Proving Ground, Arizona. The acquired seismic data consist of a series of 2D survey lines that are perpendicular to the long axis of the tunnel. With the use of an initial model estimated from surface wave methods, a void-detection-oriented FWI workflow was applied. A straightforward [Formula: see text] quotient masking method was used to reduce the inversion artifacts and improve confidence in identifying anomalies that possess a high [Formula: see text] ratio. Using near-surface FWI, [Formula: see text] and [Formula: see text] velocity profiles were obtained with void anomalies that are easily interpreted. The inverted velocity profiles depict the tunnel as a low-velocity anomaly at the correct location and depth. A comparison of the observed and simulated waveforms demonstrates the reliability of inverted models. Because the known tunnel has a uniform shape and for our purposes an infinite length, we apply 1D interpolation to the inverted [Formula: see text] profiles to generate a pseudo 3D (2.5D) volume. Based on this research, we conclude the following: (1) FWI is effective in near-surface tunnel detection when high resolution is necessary. (2) Surface-wave methods can provide accurate initial S-wave velocity [Formula: see text] models for near-surface 2D FWI.

scholarly journals Relationship between Shear Wave Velocity and SPT-N Value for Residual Soils

2018 ◽  
Vol 203 ◽  
pp. 04009
Author(s):  
Nor Faizah Bawadi ◽  
Nur Jihan Syamimi Jafri ◽  
Ahmad Faizal Mansor ◽  
Mohd Asri Ab Rahim
Keyword(s):  
Surface Wave ◽  
Shear Wave ◽  
Wave Velocity ◽  
Shear Wave Velocity ◽  
Soil Profile ◽  
Dynamic Parameter ◽  
Kuala Lumpur ◽  
Residual Soils ◽  
Standard Penetration Testing ◽  
Wave Methods

The shear wave velocity (Vs) is an important dynamic parameter in the field of geotechnical engineering. One of the surface wave methods is Spectral Analysis of Surface Wave (SASW) has received attention in obtaining the shear wave velocity (Vs) profile by analysing the dispersion curve. SASW is a non-destructive test, fast and time-effective for field survey. Thus, this paper proposed the application of SASW method to obtain the shear wave velocity (Vs) to represent the soil profile. This paper aims to determine the shear wave velocity (Vs) profile using SASW method, where the testing has been conducted at three site of residual soils located in Damansara, Kuala Lumpur and Nilai area. In this study, it shows that the soil profile obtained from shear wave velocity value is similar pattern with profile that obtained using Standard Penetration Testing (SPT), which conventional used in field. The shear wave velocity are proportionally increase with depth.

Ultrasonic Longitudinal and Surface Wave Methods for

2009 ◽  
pp. 173-173-14
Author(s):  
DJ Buchanan ◽  
R John ◽  
DA Stubbs ◽  
DM Benson ◽  
P Karpur
Keyword(s):  
Surface Wave ◽  
Wave Methods

Detecting and delineating voids and mines using new surface-wave methods in Galena, Kansas

2021 ◽  
Author(s):  
Julian Ivanov ◽  
Shelby L. Peterie ◽  
Richard D. Miller ◽  
Dmitry Borisov ◽  
Steve Sloan ◽  
...  
Keyword(s):  
Surface Wave ◽  
Wave Methods

Precision of V30 values derived from noninvasive surface wave methods at 31 sites in California

2019 ◽  
Vol 127 ◽  
pp. 105802
Author(s):  
Yong Alan ◽  
Martin Antony ◽  
Boatwright John
Keyword(s):  
Surface Wave ◽  
Wave Methods

Seismic Surface Wave Methods

2011 ◽  
pp. 261-272
Keyword(s):  
Surface Wave ◽  
Wave Methods

scholarly journals The Passive Surface Wave Methods for Shallow Engineering Exploration Based on the ESPAC Technology

2019 ◽  
Vol 131 ◽  
pp. 01041
Author(s):  
Tong Wu ◽  
Kezhu Song ◽  
Zhengyang Sun ◽  
Hongwei Zhao ◽  
Xin Hu
Keyword(s):  
Surface Wave ◽  
Phase Velocity ◽  
Velocity Dispersion ◽  
Vertical Component ◽  
Original Data ◽  
Phase Velocity Dispersion ◽  
Wave Phase Velocity ◽  
Wave Methods ◽  
Rayleigh Wave Phase Velocity ◽  
Selection Of

ESPAC method is a rapidly emerging field of seismological research, which can reflect the physical properties of the Earth’s medium. In the process of using the ESPAC method, sometimes the noise of the original data is relatively large, and the raw data of each seismometer needs to be preprocessed, including operations such as de-averaging, de-trending, re-sampling, normalization, and filtering. The selection of the normalized method and the selection of the bandwidth of the filter are particularly important, and it will produce the wrong result if not handled properly. This article attempts to use the extended spatial autocorrelation (ESPAC) method to extract Rayleigh-wave phase velocity dispersion curves from the vertical component of the seismic stations’ microtremors, and proposes feasible and effective solutions to the selection of the normalized method and bandwidth of bandpass filtering.

Sign in / Sign up

Export Citation Format

Share Document