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Artifacts in high-frequency passive surface wave dispersion imaging: Toward the linear receiver array
F Cheng, J ** ratio through MASW testing – I: a beamforming procedure for extracting Rayleigh-wave …
SUMMARY A robust, in situ estimate of shear-wave velocity VS and the small-strain
dam** ratio DS (or equivalently, the quality factor QS) is crucial for the design of buildings …
dam** ratio DS (or equivalently, the quality factor QS) is crucial for the design of buildings …
Active sourced wavefield modeling for layered half-space
Traditional free vibration-based forward models generate theoretical dispersion curves
under the assumption of planar waves, neglecting the influence of the actual source-receiver …
under the assumption of planar waves, neglecting the influence of the actual source-receiver …
An Open‐Access Data Set of Active‐Source and Passive‐Wavefield DAS and Nodal Seismometer Measurements at the Newberry Florida Site
This article documents a comprehensive subsurface imaging experiment using seismic
waves in a well‐studied outdoor laboratory at Newberry, Florida, which is known for …
waves in a well‐studied outdoor laboratory at Newberry, Florida, which is known for …
Using explainability to design physics-aware CNNs for solving subsurface inverse problems
We present a novel method of using explainability techniques to design physics-aware
convolutional neural networks (CNNs). We demonstrate our approach by develo** a CNN …
convolutional neural networks (CNNs). We demonstrate our approach by develo** a CNN …
A simplified frequency domain beamforming approach for active and passive surface wave surveys
Frequency domain beamforming (FDBF) and cylindrical frequency domain beamforming
(CFDBF) techniques are among the most robust methods for extracting experimental phase …
(CFDBF) techniques are among the most robust methods for extracting experimental phase …
A frequency-velocity CNN for develo** near-surface 2D vs images from linear-array, active-source wavefield measurements
This paper presents a frequency-velocity convolutional neural network (CNN) for rapid, non-
invasive 2D shear wave velocity (VS) imaging of near-surface geo-materials. Operating in …
invasive 2D shear wave velocity (VS) imaging of near-surface geo-materials. Operating in …
Novel techniques for in situ estimation of shear-wave velocity and dam** ratio through MASW testing part II: a Monte Carlo algorithm for the joint inversion of phase …
This paper deals with in situ characterization of the small-strain shear-wave velocity VS and
dam** ratio DS from an advanced interpretation of Multi-channel Analysis of Surface …
dam** ratio DS from an advanced interpretation of Multi-channel Analysis of Surface …