Zobrazeno 1 - 10
of 17
pro vyhledávání: '"Joseph P. Vantassel"'
Autor:
Michael B. S. Yust, Brady R. Cox, Joseph P. Vantassel, Peter G. Hubbard, Christian Boehm, Lion Krischer
Publikováno v:
Geosciences, Vol 13, Iss 3, p 63 (2023)
Full waveform inversion (FWI) and distributed acoustic sensing (DAS) are powerful tools with potential to improve how seismic site characterization is performed. FWI is able to provide true 2D or 3D images of the subsurface by inverting stress wave r
Externí odkaz:
https://doaj.org/article/7a9cd3b62341408b9f9498381f5755d0
Autor:
Peter G. Hubbard, Joseph P. Vantassel, Brady R. Cox, James W. Rector, Michael B. S. Yust, Kenichi Soga
Publikováno v:
Sensors, Vol 22, Iss 12, p 4589 (2022)
Quantitative dynamic strain measurements of the ground would be useful for engineering scale problems such as monitoring for natural hazards, soil-structure interaction studies, and non-invasive site investigation using full waveform inversion (FWI).
Externí odkaz:
https://doaj.org/article/94a7924954f64b3084b1aade92b251dd
Publikováno v:
GEOPHYSICS. 88:KS101-KS112
We develop a new 3D ambient noise tomography (3D ANT) method for geotechnical site characterization. It requires recording ambient noise fields using a 2D surface array of geophones, from which experimental crosscorrelation functions (CCFs) are then
Publikováno v:
Geophysical Journal International. 231:72-90
SUMMARY Non-invasive subsurface imaging using full waveform inversion (FWI) has the potential to fundamentally change near-surface (
Autor:
Michael B. S. Yust, Brady R. Cox, Joseph P. Vantassel, Peter G. Hubbard, Christian Boehm, Lion Krischer
Publikováno v:
Geosciences
Volume 13
Issue 3
Pages: 63
Volume 13
Issue 3
Pages: 63
Full waveform inversion (FWI) and distributed acoustic sensing (DAS) are powerful tools with potential to improve how seismic site characterization is performed. FWI is able to provide true 2D or 3D images of the subsurface by inverting stress wave r
Autor:
Joseph P. Vantassel, Brady R. Cox
Publikováno v:
Journal of Seismology. 26:731-756
Non-invasive surface wave methods are increasingly being used as the primary technique for estimating a site’s small-strain shear wave velocity (Vs). Yet, in comparison to invasive methods, non-invasive surface wave methods suffer from highly varia
Wellington's port (CentrePort) experienced significant damage from the $M_w$ 7.8 Kaikōura earthquake as a result of soil liquefaction, lateral spreading, and shaking-induced damage to structures. To investigate these ill effects, and propose mitigat
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::fea18505c2381448828d92c1010692c9
http://arxiv.org/abs/2207.09699
http://arxiv.org/abs/2207.09699
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 the frequency-velocity domain allows for significant flexibility in th
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2620693212d71a4d56d546e5bdf1df0e
http://arxiv.org/abs/2207.09580
http://arxiv.org/abs/2207.09580
Autor:
Joseph P. Vantassel, Brady R. Cox
Publikováno v:
Geophysical Journal International. 224:1141-1156
SUMMARYSWinvert is a workflow developed at The University of Texas at Austin for the inversion of surface wave dispersion data. SWinvert encourages analysts to investigate inversion uncertainty and non-uniqueness in shear wave velocity (Vs) by provid
Publikováno v:
Geophysical Journal International. 223:1040-1053
SUMMARY The horizontal-to-vertical spectral ratio (HVSR) of ambient noise is commonly used to infer a site's resonance frequency (${f_{0,site}}$). HVSR calculations are performed most commonly using the Fourier amplitude spectrum obtained from a sing