2000, Volume 3, Number 1, pp.71--80
The discovery of chaos in low dimensional dynamical systems has
provided a renewed interest in dynamics. The advance in computer
technology allows us to solve (numerically) nonlinear problems of
ever-increasing complexity. In some instances the need to explain
specific numerical evidence has, in turn, promoted a resurgence in
theoretical issues which provide insight into dynamical and bifurcational
complexity. This paper considers two case studies in which low dimensional
models have proved useful in examining the dynamical response of
engineering systems. In the first example a pendulum system is modelled
which enables fine-scale quantitative details to be established, allowing
the zones in parameter space to be identified in which various solutions
occur. The second treatment is the `broad brush' modelling of fire growth
in a room. Here fine-scale details are not available but a qualitative
insight into the dynamics can be used to guide more complex
investigations. This dual approach to modelling exemplifies the merits of
low dimensional modelling.
Key words: the low dimensional dynamical systems, the
parametrically excited pendulum, chaos.
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