scholarly journals Mobile Robotic Surveying Performance for Planetary Surface Site Characterization

2009 ◽  
pp. 249-268 ◽  
Author(s):  
Edward Tunstel ◽  
John M. Dolan ◽  
Terrence Fong ◽  
Debra Schreckenghost
Keyword(s):  
Site Characterization ◽  
Planetary Surface ◽  
Surface Site

scholarly journals 3-D time-domain Gauss–Newton full waveform inversion for near-surface site characterization

2019 ◽  
Vol 217 (1) ◽  
pp. 206-218 ◽  
Author(s):  
Khiem T Tran ◽  
Majid Mirzanejad ◽  
Michael McVay ◽  
David Horhota
Keyword(s):  
Time Domain ◽  
Waveform Inversion ◽  
Site Characterization ◽  
Full Waveform Inversion ◽  
Surface Site ◽  
Near Surface ◽  
Full Waveform

Updated Reference Shear Wave Velocity Curves for Near-Surface Site Characterization

2019 ◽  
Author(s):  
Salman Rahimi ◽  
Clinton M. Wood ◽  
Michelle Bernhardt-Barry ◽  
A. K. Himel
Keyword(s):  
Shear Wave ◽  
Wave Velocity ◽  
Shear Wave Velocity ◽  
Site Characterization ◽  
Surface Site ◽  
Near Surface

scholarly journals Preconditioned Conjugate Gradient Algorithm-Based 2D Waveform Inversion for Shallow-Surface Site Characterization

2021 ◽  
Vol 2021 ◽  
pp. 1-16
Author(s):  
Jianbo Guan ◽  
Yu Li ◽  
Guohua Liu
Keyword(s):  
Conjugate Gradient ◽  
Love Wave ◽  
Model Updating ◽  
Waveform Inversion ◽  
Site Characterization ◽  
Conjugate Gradient Algorithm ◽  
Gradient Algorithm ◽  
Explicit Calculation ◽  
Preconditioned Conjugate Gradient ◽  
Surface Site

The full-waveform inversion (FWI) of a Love wave has become a powerful tool for shallow-surface site characterization. In classic conjugate gradient algorithm- (CG) based FWI, the energy distribution of the gradient calculated with the adjoint state method does not scale with increasing depth, resulting in diminished illumination capability and insufficient model updating. The inverse Hessian matrix (HM) can be used as a preprocessing operator to balance, filter, and regularize the gradient to strengthen the model illumination capabilities at depth and improve the inversion accuracy. However, the explicit calculation of the HM is unacceptable due to its large dimension in FWI. In this paper, we present a new method for obtaining the inverse HM of the Love wave FWI by referring to HM determination in inverse scattering theory to achieve a preconditioned gradient, and the preconditioned CG (PCG) is developed. This method uses the Love wave wavefield stress components to construct a pseudo-HM to avoid the huge calculation cost. It can effectively alleviate the influence of nonuniform coverage from source to receiver, including double scattering, transmission, and geometric diffusion, thus improving the inversion result. The superiority of the proposed algorithm is verified with two synthetic tests. The inversion results indicate that the PCG significantly improves the imaging accuracy of deep media, accelerates the convergence rate, and has strong antinoise ability, which can be attributed to the use of the pseudo-HM.

Surface Wave Methods for Near-Surface Site Characterization

2014 ◽  
Author(s):  
Sebastiano Foti ◽  
Carlo Lai ◽  
Glenn J. Rix ◽  
Claudio Strobbia
Keyword(s):  
Surface Wave ◽  
Site Characterization ◽  
Surface Site ◽  
Near Surface ◽  
Wave Methods
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