Geocomplexity and the Physics of Earthquakes

By John B. Rundle, William Klein, Donald L. Turcotte. 2000

245 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Geophysics, Ocean Engineering

View Paper: https://www.semanticscholar.org/paper/da20247ff7b7ac2ef2b5e02d844299a864b94ff4

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. P. Shearer
2. Hiroo Kanamori
3. G. Prieto
4. Massimo Cocco

In Geophysics

1. P. Shearer
2. A. Bizzarri
3. Massimo Cocco
4. G. Prieto
5. Hiroo Kanamori
6. Frank L. Vernon
7. D. Kilb
8. Robert Shcherbakov

In Ocean Engineering

1. G. Prieto

Citations in the corpus

• Observational constraints on the fracture energy of subduction zone earthquakes (2004, background): “The advantage of using such macroscopic parameters is that we can investigate the overall frictional conditions on the fault even if the details of the rupture processes are not known [Kanamori and Heaton, 2000].”
• Influence of particle characteristics on granular friction (2005, background): “Our results are consistent with previous work that shows that dynamic stress drop varies with loading velocity, normal stress, recurrence interval, and effective stiffness [Karner and Marone, 2000].”
• A Bilinear Source-Scaling Model for M-log A Observations of Continental Earthquakes (2002, background): “L-model scaling does, however, have important implications for the different ways in which earthquakes must work above and below the transition magnitude, as recently discussed by Kanamori and Heaton (2000).”
• A thermal pressurization model for the spontaneous dynamic rupture propagation on a three‐dimensional fault: 1. Methodological approach (2006, background): “…difference between the temperature changes computed accounting for thermal pressurization (wet faults) and those in adiabatic conditions without thermal pressurization [see Kanamori and Heaton, 2000; Sibson, 2003] depends on the thickness of the slipping zone and on the value of cumulative slip.”
• Earthquake source scaling and self-similarity estimation by stacking P and S spectra (2004, background): “many mechanisms have been proposed for differences in the physics of larger earthquakes, including shear melting [Jeffreys, 1942; Kanamori and Heaton, 2000], acoustic”
• Statistical physics approach to understanding the multiscale dynamics of earthquake fault systems (2003, methodology): “…Giering and Kaminski, 1998; Holmes et al., 1996; Lermusiaux and Robinson, 1999; Miller et al., 1999; Molchan and Kagan, 1992; Mora, 1999; Matsu ura et al., 2001; Nijhout et al., 1997; Preisendorfer and Mobley, 1988; Rundle et al., 1999, 2000b, 2000c, 2000d, 2001, 2002; Tiampo et al., 2000, 2002b].”