Application of machine learning techniques to predict rupture propagation and arrest in 2-D dynamic earthquake simulations

SUMMARY Simulating dynamic earthquake rupture propagation is challenging due to uncertainties in the underlying physics of fault slip, stress conditions and the fault frictional properties. A trial and error approach is often used to determine the unknown parameters describing rupture, though runnin...

Full description

Saved in:

Bibliographic Details
Published in:	Geophysical journal international Vol. 224; no. 3; pp. 1918 - 1929
Main Authors:	Ahamed, Sabber, Daub, Eric G
Format:	Journal Article
Language:	English
Published:	Oxford University Press 01.03.2021
Subjects:	Earthquake ground motions Numerical modelling Earthquake dynamics Machine learning
ISSN:	0956-540X, 1365-246X
Online Access:	Get full text
Tags:	Add Tag No Tags, Be the first to tag this record!

Be the first to leave a comment!