scholarly journals Complex shallow mantle beneath the Dharwar Craton inferred from Rayleigh wave inversion

2014 ◽  
Vol 198 (2) ◽  
pp. 1055-1070 ◽  
Author(s):  
Kajaljyoti Borah ◽  
S. S. Rai ◽  
Keith Priestley ◽  
V. K. Gaur
Keyword(s):  
Rayleigh Wave ◽  
Dharwar Craton ◽  
Wave Inversion

Rayleigh wave inversion using heat-bath simulated annealing algorithm

2016 ◽  
Vol 134 ◽  
pp. 267-280 ◽  
Author(s):  
Yongxu Lu ◽  
Suping Peng ◽  
Wenfeng Du ◽  
Xiaoyang Zhang ◽  
Zhenyuan Ma ◽  
...  
Keyword(s):  
Simulated Annealing ◽  
Rayleigh Wave ◽  
Simulated Annealing Algorithm ◽  
Heat Bath ◽  
Wave Inversion ◽  
Annealing Algorithm

Exploiting the crossterms of the virtual Rayleigh‐wave Green tensor for surface‐wave inversion

2011 ◽  
Author(s):  
K. van Wijk ◽  
H. Douma ◽  
D. Mikesell ◽  
M. Haney
Keyword(s):  
Surface Wave ◽  
Rayleigh Wave ◽  
Green Tensor ◽  
Wave Inversion

Shear Velocity Estimation based on Rayleigh-wave Inversion

2017 ◽  
Author(s):  
Lieqian Dong* ◽  
Yimeng Zhang ◽  
Kui Zhang
Keyword(s):  
Rayleigh Wave ◽  
Shear Velocity ◽  
Velocity Estimation ◽  
Wave Inversion

scholarly journals High-Velocity Surface Layer Effects on Rayleigh Waves: Recommendations for Improved Shear-Wave Velocity Modeling

2020 ◽  
Vol 110 (1) ◽  
pp. 279-287
Author(s):  
Gabriel Gribler ◽  
Lee M. Liberty ◽  
T. Dylan Mikesell
Keyword(s):  
Rayleigh Wave ◽  
Shear Wave ◽  
High Velocity ◽  
Site Response ◽  
Soil Classification ◽  
Cost Effective ◽  
Road Surface ◽  
Geologic Hazard ◽  
Soil Stiffness ◽  
Wave Inversion

ABSTRACT Soil stiffness estimates are critical to geologic hazard and risk assessment in urban centers. Multichannel analysis of surface-wave (MASW) data collection along city streets is now a standard, cost-effective, and noninvasive soil stiffness approximation tool. With this approach, shear-wave velocities (VS) are derived from Rayleigh-wave signals. Although the current MASW practice is to neglect the effect of a high-velocity road layer on soil VS estimates, our models show measurable impacts on Rayleigh-wave amplitudes and phase velocities when seismic data are acquired on a road surface. Here, we compare synthetic models with field MASW and downhole VS measurements. Our modeling indicates that a road layer attenuates Rayleigh-wave signals across all frequencies, introduces coherent higher-mode signals, and leads to overestimated VS and VS30 values. We show that VS30 can be overestimated by more than 7% when soft soils underlie a rigid road surface. Inaccurate VS estimates can lead to improper soil classification and bias earthquake site-response estimates. For road-based MASW data analysis, we recommend incorporating a surface road layer in the Rayleigh-wave inversion to improve VS estimate accuracy with depth.

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