Particle Dynamics Investigations of Geologic Materials Lecture 2: Granular Shear Noncohesive Fault R - PowerPoint PPT Presentation

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Title: Particle Dynamics Investigations of Geologic Materials Lecture 2: Granular Shear Noncohesive Fault R


1
Particle Dynamics Investigations of Geologic
MaterialsLecture 2 Granular Shear -
Noncohesive Fault Rocks
Julia K. Morgan Rice University Collaborator
Chris Marone Pennsylvania State University
Deformation and Failure of Geomaterials,
Brindisi, Italy (June 14-19, 2009)
2
Outline of Talks
  • Background, Motivation, Geologic Examples
    Methodology
  • Applications Fault Zones, Fault Gouge, Particle
    Size Evolution Effects
  • Applications Gravitationally Driven Deformation
  • Landsliding
  • Gravity Spreading
  • Salt Tectonics
  • Applications Tectonically Driven Deformation
  • Contractional Tectonics
  • Extensional Tectonics

3
Fault Gouge
  • Softens the fault zone. But how and how much?
  • Depends on variations in gouge characteristics
  • Mean particle size (ltdgt) -- Roundness /
    angularity
  • Particle size distribution (D) -- Thickness (T)
  • Modulated by variations in imposed or intrinsic
    properties
  • Normal stress (sn) -- Interparticle friction
    (µp)
  • Cohesive strength, e.g., composition (sucs )
  • Manifest as variations in mechanical response
  • Shear strength, i.e., friction (µ) -- Dilatancy
  • Grain fracture -- Grain rolling
  • How do these vary with shear zone evolution, with
    what effect on slip behavior??

4
Death Valley Detachment Faults
  • Mean grain size ltdgt decreases towards principal
    slip plane
  • Thought to be shear strain indicator

(Cowan et al., 2003)
gouge zone
Slip weakening?
grain size reduction
breccia zone
damage zone
5
Theoretical Particle Size Distribution for
Cataclastic Rocks (D2D1.6 D3D2.6)
(Morgan et al., 1996)
Increasing shear strain
N/N0(L/L0)-D
(Sammis et al., 1986, 1987)
6
Experimental Fault Gouge
10 mm
(Beeler et al., 1996)
Simulated Fault gouge
65 mm
375 mm
Bare rock surfaces
407 mm
7
Laboratory Experiments
µ 0.6 (Byerlees Law)
8
Numerical Simulations
  • Use DEM simulations to determine the effects of
    particle size and PSD on granular friction.
  • Variable parameters
  • Grain size distribution and abundance
  • Normal stress 40, 70, 140 MPa - but no grain
    breakage.
  • Interparticle friction 0.1, 0.5, 0.75.
  • Analysis
  • Particle displacements, rotations, and slip
    gradients.
  • Asemblage friction.
  • Compare to laboratory granular experiments.

9
Numerical Simulations ofGranular Shear Zones
(Morgan and Boettcher, 1999)
  • Look inside actively deforming systems
  • Quantify displacements, interparticle forces,
    stress distributions
  • Document grain scale micromechanics, and their
    intrinsic controls (e.g., friction, grain size,
    grain strength, etc.)

Course-grained fault gouge
10
Numerical Simulations ofGranular Shear Zones
(Morgan and Boettcher, 1999)
  • Look inside actively deforming systems
  • Quantify displacements, interparticle forces,
    stress distributions
  • Document grain scale micromechanics, and their
    intrinsic controls (e.g., friction, grain size,
    grain strength, etc.)

Fine-grained fault gouge
11
Effect of D on Granular Friction
Increasing abundance of small particles ---gt
(Morgan, 1999)
  • Low sliding friction, m 0.3.
  • Stick slip and strain localization (gray bars).
  • Strength and stress drop depend on particle size
    and size distribution.

12
Effect of D on Granular Friction
Increasing abundance of small particles ---gt
(Morgan, 1999)
Strength drops as D-gt1.6 Potential slip
weakening mechanism.
13
Rolling Self-Organization
(Morgan and Boettcher, 1999)
  • Similar particle sizes rotate in same direction
  • High stress resisting contacts
  • Counter-rotating small particles lubricate
    large particles
  • Low stress contacts

14
Comparison of Laboratory and Numerical Results
  • First-order discrepancies
  • - Sliding friction significantly lower for
    numerical simulations.
  • - Numerical simulations show greater tendency
    for stick slip.

Lab data
Angular quartz sand (granular fault gouge) (Frye
and Marone, 2002)
Numerical results
15
Comparison of Laboratory and Numerical Results
  • First-order discrepancies
  • - Sliding friction significantly lower for
    numerical simulations.
  • - Numerical simulations show greater tendency
    for stick slip.

Possible Reasons
  • Particle shape
  • Particle-size distribution
  • Fracture
  • 2D vs. 3D particles

Angular quartz sand (Granular Fault Gouge) (Frye
and Marone, GRL, 2002)
16
Laboratory Measurements of Granular Friction
2D vs. 3D
(Fry and Marone, 2002)
2D Particles
  • Glass rods
  • Brass rods
  • Pasta

17
Comparison of Laboratory and Numerical Results
2D
  • Character and mean value of laboratory data are
    very similar.

Quartz Rods (Frye and Marone, 2002)
  • Validates numerical simulations.

Distinct element model (Morgan, 1999)
  • But numerical methods still missing critical
    elements.

18
Laboratory Measurements of Granular Friction
3D Particle shape and size distribution without
fracture
Ang
Angular Quartz, 105-149 µm
Glass Beads, 1-800 µm
Sph 1
Glass Beads, 105-149 µm
Sph 2
(Mair, Frye and Marone, 2002)
19
3DLaboratory Results
  • Glass beads or angular quartz in non-fracturing
    regime.
  • Rough and smooth shear zone boundaries.
  • Range of sliding velocities.

(Anthony Marone, 2005)
20
3DLaboratory Results
  • Angular gouge is stronger than spherical gouge.
  • Rough walls are stronger than smooth walls.
  • Spherical gouge exhibits distinct stick-slip
    sliding.

(Anthony Marone, 2005)
21
Interpreted Micromechanics
  • Rough boundaries favor distributed shear. Grain
    bridges support load across layer.
  • Smooth boundaries lead to grain-boundary sliding.
    Grain bridges absent.
  • Angular grains interlock and resist motion.

(Anthony Marone, 2005)
22
Stick-Slip Sliding
(Anthony Marone, 2005)
Hypothesis The nature, geometry, and durability
of force chains determines shear zone behavior
strength
23
Numerical Simulations
  • Use DEM simulations to examine the nature and
    evolution of granular force chains.
  • Design numerical experiments to match Anthonys
    and Marone (2005) experiments
  • Grain shape, size and size distribution.
  • Shear zone thickness 2, 3, 5, and 8 mm.
  • Normal stress 5 and 10 MPa.
  • Wall roughness.
  • Differences
  • 2D instead of 3D.
  • No angular particles.
  • High sliding velocity.

24
Granular Force Chains - Low Velocity
  • Low sliding velocities -gt asymmetric stick-slip
    events..

25
Granular Force Chains - Low Velocity
  • Force chain networks span the shear zone.
  • Force chains dissipate during stress drops -gt
    localized slip high angle chains persist.

26
Granular Force Chains - High Velocity
  • High sliding velocities -gt symmetric, oscillating
    stress fluctuations.

27
Granular Force Chains - High Velocity
  • Force chain networks span the shear zone.
  • Force chains dissipate during stress drops -gt
    distributed deformation high angle chains
    persist.

28
Rough Walls - Ultrafine Grained (JEN1)
  • Force chain network spans shear zone.
  • Low contact forces evolve rapidly.
  • Distributed deformation
  • Uniform strength, low stress drops.

29
Force Chains - Fine Gouge
30
Rough Walls - Fine Grained (JEN2)
  • Force chain network spans shear zone.
  • Moderate contact forces evolve rapidly.
  • Distributed deformation.
  • Uniform strength, moderate stress drops.

31
Rough Walls - Medium Grained (JEN4)
  • Force chain network spans shear zone.
  • Moderate contact forces.
  • Distributed deformation.
  • Paired force chains.
  • Moderate stress drops.

32
Rough Walls - Course Grained (JEN7)
  • Force chain network spans shear zone.
  • High contact forces.
  • Paired force chains.
  • Irregular strength, high stress drops.

33
Force Chains - Coarse Gouge
34
Rough Walls - Poorly Sorted (JEN30)
  • Force chain network spans shear zone.
  • Wide range of contact forces.
  • Distributed deformation
  • Irregular strength, high stress drops.
  • Periodic??

35
Force Chains - Results
  • Complicated, evolving networks of contact forces,
    dependent on grain size and distribution.
  • Generally, contact force magnitudes scale up with
    particle size.
  • Force chain distributions and evolution control
    shear zone friction and stress fluctuations.

36
Smooth Walls - Medium Grains (JEN9)
  • Force chain network spans shear zone.
  • Localized boundary slip.
  • Internal force network is stable.
  • Very irregular strength, high stress drops.

37
Smooth Walls - 2 mm (JEN22)
  • Force chain network spans shear zone.
  • Horizontal force chains.
  • Internal force network is stable.
  • Localized boundary slip.
  • Very irregular strength, high stress drops.

38
Shear Zone Friction
rough walls
rough walls
smooth walls
smooth walls
  • Shear zone strength is a function of particle
    size, shear zone thickness, normal stress, and
    wall roughness.
  • Results are consistent with the laboratory
    experiments.

39
Mean Stress Drop
smooth walls
smooth walls
rough walls
rough walls
  • Stress drop decreases with increasing particle
    abundance.
  • Stress drop higher for smooth walls!!
  • - Reflects onset and cessation of boundary slip.

40
Summary
  • Force chains exist in ALL granular assemblages.
  • Shear zone friction and stress fluctuations
    depend on the rate of change in force chain
    configuration.
  • Rough walled assemblages exhibit periodic
    stress fluctuations associated with breakage of
    high force grain bridges.
  • Smooth walled assemblages show surprisingly high
    aperiodic stress drops, associated with cessation
    and reinitiation of boundary slip.
  • Subject of ongoing research.
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