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...

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Vydané v:	Geophysical journal international Ročník 224; číslo 3; s. 1918 - 1929
Hlavní autori:	Ahamed, Sabber, Daub, Eric G
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Oxford University Press 01.03.2021
Predmet:	Earthquake ground motions Numerical modelling Earthquake dynamics Machine learning
ISSN:	0956-540X, 1365-246X
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