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Carcharodon carcharias
White shark

Pan troglodytes
Chimpazee

Central to our approach is the use of finite element (FE) analysis, a powerful engineering tool only recently applied to biological structures.

FE has been used by engineers to predict and simulate the behaviour of man made objects ranging from wing-nuts to space-craft. In FE a computer model of the structure of interest is generated and solved for specific loading conditions that simulate real world 'behaviours'. This 'digital crash-testing' can reveal detailed information on likely distributions of stress/strain, as well as data on other variables such as reaction forces.

In the life sciences, the ability of FE to facilitate non-destructive analyses of mechanical behaviour under controlled and easily replicated conditions has lent it great promise in fields ranging from the prediction of feeding ecology in living and fossil species, to the optimization of prosthetic devices and improved surgical techniques. However, despite notable advances, the considerable potential of FE analysis in biology has been constrained by the time consuming nature of model generation, difficulties in achieving sufficient resolution to incorporate the variable material properties of bone and difficulties regarding the realistic 3-D reconstruction of muscle and other soft tissues.

Advances that we have made over the last year place us at the forefront of this exciting new field and our approaches represent major steps forward in the simulation of vertebrate skull mechanics. These include:

1, a method for the incorporation of variable properties for bone, allowing for more realistic modeling of structural behaviour

2, the addition of jaw joints that facilitate more accurate reconstruction of the 3-D architecture of muscle

3, procedures that allow statistical analyses of brick stress and strain, and

4, despite the complexity of these models (up to an order of magnitude higher in resolution than has been developed for comparable studies), our protocols produce simulations that can be quickly assembled and solved on desktop computers.