activity
20202026
most citedMapping Depth to Bedrock, Shear Stiffness, and Fundamental Site Period at CentrePort, Wellington using Surface Wave Methods: Implications for Local Seismic Site Amplification

56 citations · 247 across the 13 of their papers we have counts for

collaborators
Showing 2022Show all

6 papers · 1 filter

cs.LG2022★ 2 cited

GNS: A generalizable Graph Neural Network-based simulator for particulate and fluid modeling

Krishna Kumar, Joseph Vantassel

We develop a PyTorch-based Graph Network Simulator (GNS) that learns physics and predicts the flow behavior of particulate and fluid systems. GNS discretizes the domain with nodes…

physics.geo-ph2022★ 3 cited

DAS for 2D MASW Imaging: A Case Study on the Benefits of Flexible Sub-Array Processing

Michael B. S. Yust, Brady R. Cox, Joseph P. Vantassel +1

Distributed acoustic sensing (DAS) is a relatively new technology for recording stress wave propagation, with promising applications in both engineering and geophysics. DAS's abili…

physics.geo-ph2022★ 56 cited

Mapping Depth to Bedrock, Shear Stiffness, and Fundamental Site Period at CentrePort, Wellington using Surface Wave Methods: Implications for Local Seismic Site Amplification

Joseph P. Vantassel, Brady R. Cox, Liam Wotherspoon +1

Wellington's port (CentrePort) experienced significant damage from the 7.8 Kaikōura earthquake as a result of soil liquefaction, lateral spreading, and shaking-induced damage…

cs.LG2022

A Frequency-Velocity CNN for Developing Near-Surface 2D Vs Images from Linear-Array, Active-Source Wavefield Measurements

Aser Abbas, Joseph P. Vantassel, Brady R. Cox +2

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…

cs.GR2022

Minority Report: A Graph Network Oracle for In Situ Visualization

Krishna Kumar, Paul Navrátil, Andrew Solis +1

In situ visualization techniques are hampered by a lack of foresight: crucial simulation phenomena can be missed due to a poor sampling rate or insufficient detail at critical time…

physics.geo-ph2022★ 50 cited

Extracting High-Resolution, Multi-Mode Surface Wave Dispersion Data from Distributed Acoustic Sensing Measurements using the Multichannel Analysis of Surface Waves

Joseph P. Vantassel, Brady R. Cox, Peter G. Hubbard +1

We rigorously assess the potential for extracting high-resolution, multi-mode surface wave dispersion data from distributed acoustic sensing (DAS) measurements using active-source…