Related Experiment Video
Updated: May 5, 2026

Simulation of the Planetary Interior Differentiation Processes in the Laboratory
Published on: November 16, 2013
Evidence of power-law flow in the Mojave desert mantle
Andrew M Freed1, Roland Bürgmann
1Department of Earth and Atmospheric Sciences, Purdue University, West Lafayette, Indiana 47907, USA. freed@purdue.edu
Abstract:
Studies of the Earth's response to large earthquakes can be viewed as large rock deformation experiments in which sudden stress changes induce viscous flow in the lower crust and upper mantle that lead to observable postseismic surface deformation. Laboratory experiments suggest that viscous flow of deforming hot lithospheric rocks is characterized by a power law in which strain rate is proportional to stress raised to a power, n (refs 2, 3). Most geodynamic models of flow in the lower crust and upper mantle, however, resort to newtonian (linear) stress-strain rate relations. Here we show that a power-law model of viscous flow in the mantle with n = 3.5 successfully explains the spatial and temporal evolution of transient surface deformation following the 1992 Landers and 1999 Hector Mine earthquakes in southern California. A power-law rheology implies that viscosity varies spatially with stress causing localization of strain, and varies temporally as stress evolves, rendering newtonian models untenable. Our findings are consistent with laboratory-derived flow law parameters for hot and wet olivine--the most abundant mineral in the upper mantle--and support the contention that, at least beneath the Mojave desert, the upper mantle is weaker than the lower crust.
More Related Videos
Related Concept Videos
Magnetostatic Boundary Conditions
Magnetic Susceptibility and Permeability
When diamagnetic materials are placed under an external magnetic field, the moments opposite to the field are induced. Hence, the susceptibility for diamagnets has a minimal negative value of 10-5–10-6. Since...
Irrotational Flow
Couette Flow
General External Flow Characteristics
Rapidly Varying Flow

