Unstable physical processes operating on self-governing fault systems, Improved Modeling Methodology
dc.contributor.author
Pranger, Casper Cornelis
dc.contributor.supervisor
Gerya, Taras
dc.contributor.supervisor
De Borst, Rene
dc.contributor.supervisor
Fichtner, Andreas
dc.contributor.supervisor
Le Pourhiet, Laetitia
dc.contributor.supervisor
May, Dave A.
dc.contributor.supervisor
van Dinther, Ylona
dc.date.accessioned
2021-03-19T06:42:20Z
dc.date.available
2021-03-18T09:06:21Z
dc.date.available
2021-03-18T12:51:02Z
dc.date.available
2021-03-19T06:42:20Z
dc.date.issued
2020
dc.identifier.uri
http://hdl.handle.net/20.500.11850/475293
dc.identifier.doi
10.3929/ethz-b-000475293
dc.description.abstract
The field of earthquake seismology has made incredible progress over the past century towards understanding the processes that give rise to earthquakes. At the same time, many aspects of this phenomenon remain debated or unclear, and the prospect of being able to make actionable short-term predictions of earthquakes seems as far away as it has ever been. Key factors that inhibit the progress of earthquake science are the sparsity of data in both space and time of the complex subsurface, but also the tradeoffs and pragmatic choices that have to be made when simulating earthquake processes both in the laboratory and in numerical models.
The contributions collected in this dissertation build upon a growing research direction in numerical and physical model development wherein a fracture zone in the Earth’s crust is treated as a diffuse interface that has the potential to grow and evolve over geological time scales. Because it avoids some barriers that other methods face, and suffers from yet others, this approach may prove to be a valuable addition to the tools of earthquake seismology.
en_US
dc.format
application/pdf
en_US
dc.language.iso
en
en_US
dc.publisher
ETH Zurich
en_US
dc.rights.uri
http://rightsstatements.org/page/InC-NC/1.0/
dc.title
Unstable physical processes operating on self-governing fault systems, Improved Modeling Methodology
en_US
dc.type
Doctoral Thesis
dc.rights.license
In Copyright - Non-Commercial Use Permitted
dc.date.published
2021-03-18
ethz.size
203 p.
en_US
ethz.code.ddc
DDC - DDC::5 - Science::550 - Earth sciences
en_US
ethz.identifier.diss
26726
en_US
ethz.publication.place
Zurich
en_US
ethz.publication.status
published
en_US
ethz.leitzahl
ETH Zürich::00002 - ETH Zürich::00012 - Lehre und Forschung::00007 - Departemente::02330 - Dep. Erd- und Planetenwissenschaften / Dep. of Earth and Planetary Sciences::02506 - Institut für Geophysik / Institute of Geophysics::03698 - Tackley, Paul / Tackley, Paul
en_US
ethz.leitzahl.certified
ETH Zürich::00002 - ETH Zürich::00012 - Lehre und Forschung::00007 - Departemente::02330 - Dep. Erd- und Planetenwissenschaften / Dep. of Earth and Planetary Sciences::02506 - Institut für Geophysik / Institute of Geophysics::03698 - Tackley, Paul / Tackley, Paul
en_US
ethz.date.deposited
2021-03-18T09:06:33Z
ethz.source
FORM
ethz.eth
yes
en_US
ethz.availability
Open access
en_US
ethz.rosetta.installDate
2021-03-18T12:51:15Z
ethz.rosetta.lastUpdated
2022-03-29T05:51:53Z
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true
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true
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Doctoral Thesis [30376]