A Kinematic Source Time Function Compatible With Earthquake Dynamics: Relations Between Kinematic and Dynamic Parameters

By A. Piatanesi, Elisa Tinti, Massimo Cocco, E. Fukuyama. 2004

180 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Civil and Structural Engineering, Geophysics

View Paper: https://www.semanticscholar.org/paper/01b649a85d7f2500a136b43ab3c8800f0c76145a

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Artificial Intelligence

1. R. Archuleta

In Civil and Structural Engineering

1. H. Miyake
2. Kojiro Irikura
3. D. Lavallée
4. J. Schmedes
5. R. Archuleta

In Geophysics

1. H. Miyake
2. Kojiro Irikura
3. D. Lavallée
4. J. Schmedes
5. R. Archuleta

Citations in the corpus

• Recipe for Predicting Strong Ground Motion from Crustal Earthquake Scenarios (2011, background): “4.2.6 Step 9: Parameterization of Slip-Velocity Time Functions There are several proposals of slip-velocity time functions (e.g., DAY, 1982; NAKAMURA and MIYATAKE, 2000; GUATTERI et al., 2004; TINTI et al., 2005, LIU et al., 2006).”
• Correlation of earthquake source parameters inferred from dynamic rupture simulations (2010, result): “Note that this formulation of the slip rate function is very similar to the formulation introduced by Tinti et al. [2005] and used by Tinti et al. [2009].”