자료유형  

 학위논문

Control Number  

0017164812

International Standard Book Number  

9798346394280

Dewey Decimal Classification Number  

910.285

Main Entry-Personal Name  

Wang, Taiyi.

Publication, Distribution, etc. (Imprint  

[S.l.] : Stanford University., 2024

Publication, Distribution, etc. (Imprint  

Ann Arbor : ProQuest Dissertations & Theses, 2024

Physical Description  

239 p.

General Note  

Source: Dissertations Abstracts International, Volume: 86-05, Section: B.

General Note  

Advisor: Segall, Paul.

Dissertation Note  

Thesis (Ph.D.)--Stanford University, 2024.

Summary, Etc.  

요약The ubiquitous presence of fluids in Earth's crust underscores the importance of fluid-solid mechanical coupling in seismic and volcanic phenomena. The challenge to understanding fluid-solid coupling in Earth is in identifying the relevant physics underlying geophysical observations spanning vast spatial and temporal scales. The lack of means to ground-truth interpretations of geophysical observations necessitates explanatory models rooted in rigorous mechanics.In this dissertation, I develop and apply analytical modeling, numerical simulations, and neural network-based emulators to understand the physics of fluid-solid coupling in earthquake faults and magmatic reservoirs, bridging the gap between geophysical observations and source dynamics. The dissertation covers 2 themes totaling 6 chapters. Theme 1 focuses on ground deformation due to pressure changes in magma reservoirs. In Chapter 2, I develop a lumped parameter model for magma transfer between multiple magma reservoirs and apply it to constrain the connectivity between reservoirs at the summit of the K¯ilauea volcano and its rift zone, utilizing InSAR (Interferometric Synthetic Aperture Radar) and GNSS (Global Navigation Satellite System) ground deformation data. In Chapter 3, I develop the first Graph Neural Network emulators for fast and accurate predictions of surface deformation associated with magma reservoirs of complex geometries. The emulators enable Bayesian inversions of non-spheroidal magma reservoir geometries from surface deformation measurements.Theme 2 focuses on the mechanics of earthquakes associated with caldera collapse eruptions. In Chapter 4, I propose a physics-based model to simultaneously explain the static inflationary deformation and very-long-period ground motions associated with Mw 5 caldera collapse earthquakes at Kilauea in 2018. In Chapter 5, I perform the first 3D dynamic rupture simulation of caldera collapse earthquakes and develop complementary analytical analyses to investigate the effects of magma viscoelasticity and seismic wave radiation on the dynamics of caldera collapse. In Chapter 6, I extend existing seismic representation theorem to include seismic torque in arbitrarily shaped source regions. I then use the theorem to analyze simulated wavefield of caldera collapse earthquakes. In Chapter 7, I investigate the origin of numerous earthquakes in between Mw 5 caldera collapse earthquakes at Kilauea in 2018, using fault and seismicity models based on rate-and-state friction.

Subject Added Entry-Topical Term  

Global positioning systems--GPS.

Subject Added Entry-Topical Term  

Physics.

Subject Added Entry-Topical Term  

Viscosity.

Subject Added Entry-Topical Term  

Volcanoes.

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Rheology.

Subject Added Entry-Topical Term  

Neural networks.

Subject Added Entry-Topical Term  

Earthquakes.

Subject Added Entry-Topical Term  

Deformation.

Subject Added Entry-Topical Term  

Geometry.

Subject Added Entry-Topical Term  

Hydraulics.

Subject Added Entry-Topical Term  

Radiation.

Subject Added Entry-Topical Term  

Magma.

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Aerospace engineering.

Subject Added Entry-Topical Term  

Geology.

Subject Added Entry-Topical Term  

Hydraulic engineering.

Added Entry-Corporate Name  

Stanford University.

Host Item Entry  

Dissertations Abstracts International. 86-05B.

Electronic Location and Access  

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Control Number  

joongbu:656020