Lab 3a-Foliations and CPOs

CET/UWA Microstructure Course

| TOC | Lecture 1 2 3 4 a b  5 a b | Lab 1 a b c 2 a b c 3 a b 4 a b 5 a b | Glossary Table 1 2 3 4 5 Index | GEOS5505 Lab 1 |

Further Reading:

An Outline of Structural Geology, 1976. Hobbs, Means & Williams p 73-104

Urai, Lister & Means 1986 Dynamic Recrystallisation of Minerals In : Mineral & Rock Deformation: Laboratory Studies Ed: Hobbs & Heard ,Geophysical Monograph 36.

Jessell & Lister 1990. A simulation of the temperature dependence of quartz fabrics. In: Deformation rheology and tectonics. Ed: Knipe & Rutter, Geol. Soc. London Special Publication No 54.

1) Computer simulations of crystallographic preferred orientation development.

The first part of the lab consists of a computer simulations of crystallographic preferred orientation and grain shape foliation development in quartzites.
 

Example Image The following image shows an example of what you should expect to see for each increment of deformation, and explains all the various features.

Fig 01

These simulations are calculated assuming that four deformation processes are involved, homogeneous simple shear, lattice rotations according to the Taylor-Bishop-Hill model, (which calculates the lattice rotations for a crystal based on its orientation, the applied deformation, and how easy it is for each slip system to be activated) grain boundary migration driven by dislocation density contrasts, and rotation recrystallisation at or near grain boundaries. The hidden assumptions are that the dislocation density in each grain is a function of how easily it deforms which is in turn a function of its orientation. Grains which require less stress to make them yield will have lower dislocation densities and will thus preferentially consume other grains, and will also more slowly develop subgrains by rotation recrystallisation.

The 3 simulations are set up to reflect increasing temperature, which will affect:

i) the Critical Resolved Shear Stress (CRSS) for different slip systems (ie how much stress resolved into a slip plane in the slip direction is needed to induce dislocation glide).

ii) the mobility of grain boundaries

iii) the rate of recovery

iv) the rate of rotation recrystallisation.

In order to simplify things we have assumed that the two dominant slip systems in quartz are basal and prism , although in fact other slip systems would probably operate as well. At low T (eg Greenschist facies deformation) basal slip is believed to have a lower CRSS than prism , whereas at higher T (eg granulite facies deformation) the situation is reversed. As a result two things happen: the patterns of lattice rotations vary (although not by all that much) and the grain orientations which have lowest dislocation densities will change. For the each simulations follow the grain size and c-axis orientation history of 4 grains from different parts of the stereographic projections (the same 4 grains each time) and contrast their relative fates.


A) Low temperature. At very low temperatures the mobility of grain boundaries is so low that grain boundary migration is effectively suppressed. In this extreme example there is no recrystallisation at all, either GBM or RR. This is not very plausible, but it gives you a good control on the effects of lattice rotations on their own.


B) Medium temperature. (cf Fig B & D below) At higher temperatures the mobility of grain boundaries is higher so that grain boundary migration velocities increase and but we also get significant rotation recrystallisation occurring.


C) High temperature. (cf Fig A & C below) At even higher temperatures the mobility of grain boundaries is higher again, although the overall velocity of grain boundaries will be moderated because the driving force is lowered as rate of internal recovery will also be higher. Rotation recrystallisation is lessened, because more slip systems are available, and the strain contrasts between grains is thus reduced.

2) Natural CPOs in quartz

The following c-axis fabrics were all measured from regions thought to have deformed predominantly in simple shear. These fabrics were pulled from the literature by me, (based on my wish to find natural analogues for the model results) so don't blame the authors for these comparisons, and don't take them too seriously. Further details of these fabrics, and the original reproductions of them, can be found in the references given. Unfortunately they are plotted in two different orientations with respect to the shear plane, so be careful. (S=foliation, L=lineation).

Which of the simulations above correlate with which natural patterns below?
 
Fig 02
Fig A Brunel, M. 1986. Tectonics 5, 247-267.
Fig 03
Fig B Brunel, M. 1986. Tectonics 5, 247-267.
Fig 04
Fig C Burg, J.P. et al., 1981. Tectonophysics, 78, 161-177.
Fig 05
Fig D Gaudemer, Y and Tapponnier, P. J. Struct. Geol. 9, 159-180, 1987.