Brittany Erickson
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Assistant Professor
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Dr. Brittany Erickson is an Assistant Professor at the University of Oregon, USA. Her research focuses on earthquake modeling, fault friction, and volcanic deformation, employing advanced computational methods such as physics-informed deep learning and high-order finite difference techniques. She is actively involved in community-driven initiatives to enhance code verification in simulations of seismic and aseismic activities.
Recent Grants
Grant: Open
CAREER: Physics-Informed Deep Learning for Understanding Earthquake Slip Complexity
Open Date: 2024-05-01
Close Date: 2029-04-30
Grant: Close
Advancing Simulations of Sequences of Earthquakes and Aseismic Slip (SEAS)
Open Date: 2023-02-01
Close Date: 2024-01-01
Grant: Close
Collaborative Research: Exploring System-Wide Events in Complex Fault Networks using Fully-Dynamic 3D Earthquake Cycle Simulations
Open Date: 2021-08-01
Close Date: 2024-07-01
Grant: Close
Collaborative Research: Exploring System-Wide Events on Complex Fault Networks using Fully-Dynamic 3D Earthquake Cycle Simulations
Open Date: 2021-08-01
Close Date: 2025-07-31
Grant: Close
Fluid oscillations in conduit-reservoir systems, very long period seismic signals at Kilauea volcano, and the phenomenology of unsteady magma ascent
Open Date: 2021-04-01
Close Date: 2025-03-31
Articles (10)
Year:
2024
Year:
2023
Year:
2023
Year:
2023
Time‐dependent ground deformation is a key observable in active magmatic systems, but is challenging to characterize. Here we present a numerical framework for modeling transient deformation and stress around a subsurface, spheroidal pressurized magma reservoir within a viscoelastic half‐space with variable material coefficients, utilizing a high‐order finite‐element method and explicit time‐stepping. We derive numerically stable time steps and verify convergence, then explore the frequency dependence of surface displacement associated with cyclic pressure applied to a spherical reservoir beneath a stress‐free surface. We consider a Maxwell rheology and a steady geothermal gradient, which gives rise to spatially variable viscoelastic material properties. The temporal response of the system is quantified with a transfer function that connects peak surface deformation to reservoir pressurization in the frequency domain. The amplitude and phase of this transfer function characterize the viscoelastic response of the system, and imply a framework for characterizing general deformation time series through superposition. Transfer function components vary with the frequency of pressure forcing and are modulated strongly by the background temperature field. The dominantly viscous region around the reservoir is also frequency dependent, through a local Deborah number that measures pressurization period against a spatially varying Maxwell relaxation time. This near‐reservoir region defines a spatially complex viscous/elastic transition whose volume depends on the frequency of forcing. Our computational and transfer function analysis framework represents a general approach for studying transient viscoelastic crustal responses to magmatic forcing through spectral decomposition of deformation time series, such as long‐duration geodetic observations.
Year:
2022
Year:
2022
Year:
2022
Year:
2021
Year:
2021
Year:
2020
Collaborators (8)
Jean‐Paul Ampuero
-
Martin Almquist
Assistant Professor
Uppsala University
Sylvain Barbot
Associate Professor
University of Southern California
Yuyun Yang
Stanford University
Junle Jiang
Assistant Professor
University of Oklahoma
Yoshihiro Kaneko
准教授 / Associate Professor
Kyoto University
Luca Dal Zilio
Assistant Professor of Geophysics
-
Jay Gopalakrishnan
-
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