Data Publication

Data underlying the chapter: Towards Estimating the Occurrence of Fault-slip in Large Scale Frictional Experiments and the Field Scale

Diab Montero, Hamed Ali | Li, Meng

4TU.ResearchData

(2024)

Descriptions

Time series of 2D simulations of a finite-difference model representing a large-scale bi-axial friction laboratory experiment. The forward simulations include the evolution of the strains, the velocity, and the state theta at the fault. The dataset includes the initial shear stress distributions of each ensemble member and the prior information used for the calculations of the information content in chapter 6 (Towards Estimating the Occurrence of Fault-slip in Large Scale Frictional Experiments and the Field Scale ) of the Ph.D. thesis "Ensemble data assimilation methods for estimating fault slip and future earthquake occurrences."

Keywords


Originally assigned keywords
Geophysics
FOS: Earth and related environmental sciences
Earth Sciences
Data assimilation
Rate-and-state friction
Direct shear experiment
Earthquake forecasting

MSL enriched keywords
Inferred deformation behavior
deformation behaviour
frictional deformation
Measured property
friction - controlled slip rate
friction coefficient
Measured property
friction - controlled slip rate
friction coefficient
tectonic deformation structure
tectonic fault
measured property
pH

Metadata


MSL enriched sub domains

rock and melt physics
analogue modelling of geologic processes
geochemistry

Resource Type

Dataset


Source


Source publisher

4TU.ResearchData

DOI

10.4121/fda02e8f-00bc-4c5b-a92e-3bae47f00e97.v1

Creators

Diab Montero, Hamed Ali
Personal
Li, Meng

Contributors

TU Delft, Faculty Of Civil Engineering And Geosciences, Department Of Geoscience And Engineering.
Organizational
Utrecht University, Faculty Of Geosciences.
Organizational

Citation

Diab Montero, H. A., & Li, M. (2024). Data underlying the chapter: Towards Estimating the Occurrence of Fault-slip in Large Scale Frictional Experiments and the Field Scale (Version 1) [Data set]. 4TU.ResearchData. https://doi.org/10.4121/FDA02E8F-00BC-4C5B-A92E-3BAE47F00E97.V1


Dates

Issued 2024-03-11

Language

en


Funding References

Funder Name NWO (Nederlandse Organisatie voor Wetenschappelijk Onderzoek)
Award Number Grant number: DEEP.NL.2018.037
Award Title InFocus: An Integrated Approach to Estimating Fault Slip Occurrence

Rights

Name Creative Commons Attribution 4.0 International
URI https://creativecommons.org/licenses/by/4.0/legalcode
Identifier cc-by-4.0
Identifier Scheme SPDX
Scheme URI https://spdx.org/licenses/

Locations

- no geo-locations found -