| Figure 1.2.4.
Numerically generated principal-stress distribution in sample shown in
Fig. 1.2.2 and shortened 20% in Fig.
1.2.3(after Wilson & Zhang 1994). |
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| Numerical stress maps derived from deformation experiments (see fig. 1.2.4), and the use of such relations to plot deformation mechanism maps, assume that ice is homogeneous and mechanically isotropic. However, an initially isotropic polycrystalline aggregate will develop a fabric after prolonged deformations. In addition to basal glide, deformation is generally accompanied by grain boundary migration, recrystallisation and rotation of crystals (see fig. 1.1.3). All these contribute to a dynamic recrystallisation processes where there is a change in the mechanical properties of a deforming polycrystalline aggregate with time. These processes produce strong mechanical anisotropies in polycrystalline ice and result in the foliation we see in glaciers. In an ice sheet gravity forces induce internal stresses which drive deformation and glacial flow. Nye (1952) demonstrated that flow is driven by a shear stress acting down the glacier and is related primarily to the surface slope at any point on the sheet and the depth of a column of ice directly below that point according to:
where Within real ice sheets, the shear stress produced by surface slope is not the only differential stress acting on the ice mass. Changes is surface slope, rapid changes in the bed-rock topography and variations in the accumulation and ablation rates, all produce longitudinal and transverse differential stresses. However, equation 10 can be used to derive a first order estimate of stress conditions in an ice body. For example the surface slope of the section of outlet glacier in the Framnes Mountains, east Antartica investigated by Marmo & Wilson (1998) is ~0.02 Rad and depth of over 800m (see fig. 1.6.1). If equation 10 is applied to this generalised column of ice within this outlet glacier, then the shear stress increases linearly with depth from zero at the surface to 0.17 MPa at a depth of 800m (see fig. 1.6.2). |
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| Figure 1.6.1 Flow
lines in an outlet glacier in the Framnes Mountains, Antarctica (Marmo
& Wilson 1998). |
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| Figure 1.6.2 Longitudinal
section parallel to the flow lines in the Framnes Mountains glaciers.The
flow lines transect strain grids at Rumdoodle and Fern Hill area where
the maximum velocity and bed-rock topography data have been collected. |
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| The basal ice, and ice close to the margins on the stream, have a strong single maximum due to simple shearing. In outlet glaciers the strain rate is sufficiently high that recovery via dynamic recrystallisation becomes an important process. Recrystallisation tends preferentially to produce new grains at 45° to the compression direction. With continued deformation the c-axes of ice crystals rotate towards the compression direction to form a tight girdle in ice at depth. The strong girdle fabric in outlet glaciers tends to produce deformation closer to steady state flow than is observed in other parts of large ice sheets. The flow parameter n=3 (see equation 1) is consistent for most outlet glaciers, except for the uppermost parts where grain growth may still occur reducing n to between 1 and 3 (Alley 1992). The development of fabrics can reduce the resistance
of the polycrystals to creep for a given applied stress promoting an increase
in strain rate. This presents
a feedback loop as a strain-rate increase leads to polycrystalline aggregates
accumulating more strain, leading to stronger fabrics. It is possible
that this process results in bifurcation, as strain is localised into
thin layers that are less resistant to glide. Hudleston (1980) noted the
development of thin shear zones in the margins of glaciers. The shear
zones initially developed as lenses tens of millimetres thick and attained
shear strains greater than |
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Created: August 23, 1999 Last modified: March 15, 2004 Authorised by: Head, School of Earth Sciences Property of School of Earth Sciences - The University of Melbourne - Australia. Disclaimer and copyright. Design and maintained by Hadi Sim (hadims@unimelb.edu.au) |
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