Zobrazeno 1 - 10
of 551
pro vyhledávání: '"Brady, R. P."'
The small-strain damping ratio plays a crucial role in assessing the response of soil deposits to earthquake-induced ground motions and general dynamic loading. The damping ratio can theoretically be inverted for after extracting frequency-dependent
Externí odkaz:
http://arxiv.org/abs/2404.06650
This paper documents a comprehensive subsurface imaging experiment using stress waves in Newberry, Florida, at a site known for significant spatial variability, karstic voids, and underground anomalies. The experiment utilized advanced sensing techno
Externí odkaz:
http://arxiv.org/abs/2305.15578
This work proposes the AutoHVSR algorithm that allows for fully-automated processing of horizontal-to-vertical spectral ratio (HVSR) measurements, including those with zero, one, or multiple clear resonances. The AutoHVSR algorithm integrates robust
Externí odkaz:
http://arxiv.org/abs/2304.05559
Autor:
Michael J. Osland, Bogdan Chivoiu, James B. Grace, Nicholas M. Enwright, Glenn R. Guntenspergen, Kevin J. Buffington, Karen M. Thorne, Joel A. Carr, William V. Sweet, Brady R. Couvillion
Publikováno v:
Communications Earth & Environment, Vol 5, Iss 1, Pp 1-8 (2024)
Abstract Accelerated sea-level rise is an existential threat to coastal wetlands, but the timing and extent of wetland drowning are debated. Recent data syntheses have clarified future relative sea-level rise exposure and sensitivity thresholds for d
Externí odkaz:
https://doaj.org/article/71982b65b46b4f5697f02cdfd6cbd6d7
There is a growing need to characterize the engineering material properties of the shallow subsurface in three-dimensions for advanced engineering analyses. However, imaging the near-surface in three-dimensions at spatial resolutions required for suc
Externí odkaz:
http://arxiv.org/abs/2302.00068
We present a novel method of using explainability techniques to design physics-aware neural networks. We demonstrate our approach by developing a convolutional neural network (CNN) for solving an inverse problem for shallow subsurface imaging. Althou
Externí odkaz:
http://arxiv.org/abs/2211.08651
Distributed acoustic sensing (DAS) is a relatively new technology for recording stress wave propagation, with promising applications in both engineering and geophysics. DAS's ability to simultaneously collect high spatial resolution data over long ar
Externí odkaz:
http://arxiv.org/abs/2210.14261
Publikováno v:
Bulletin of the Seismological Society of America. 108 (3B): 1709-1721 (2018)
Wellington's port (CentrePort) experienced significant damage from the $M_w$ 7.8 Kaik\=oura earthquake as a result of soil liquefaction, lateral spreading, and shaking-induced damage to structures. To investigate these ill effects, and propose mitiga
Externí odkaz:
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:
http://arxiv.org/abs/2207.09580
Publikováno v:
A&A 674, A184 (2023)
We aim to investigate how the molecular chemistry in stripped-envelope supernovae (SESNe) affect physical conditions and optical spectra, and produce ro-vibrational emission in the mid-infrared (MIR). We also aim to assess the diagnostic potential of
Externí odkaz:
http://arxiv.org/abs/2203.07021