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| Titel |
Modelling lava flows by Cellular Nonlinear Networks (CNN): preliminary results |
| VerfasserIn |
C. Negro, L. Fortuna, A. Vicari |
| Medientyp |
Artikel
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| Sprache |
Englisch
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| ISSN |
1023-5809
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| Digitales Dokument |
URL |
| Erschienen |
In: Nonlinear Processes in Geophysics ; 12, no. 4 ; Nr. 12, no. 4 (2005-05-19), S.505-513 |
| Datensatznummer |
250010675
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| Publikation (Nr.) |
 copernicus.org/npg-12-505-2005.pdf |
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| Zusammenfassung |
| The forecasting of lava flow paths is a complex problem in which
temperature, rheology and flux-rate all vary with space and time. The
problem is more difficult to solve when lava runs down a real topography,
considering that the relations between characteristic parameters of flow are
typically nonlinear. An alternative approach to this problem that does not
use standard differential equation methods is Cellular Nonlinear Networks
(CNNs). The CNN paradigm is a natural and flexible framework for describing
locally interconnected, simple, dynamic systems that have a lattice-like
structure. They consist of arrays of essentially simple, nonlinearly coupled
dynamic circuits containing linear and non-linear elements able to process
large amounts of information in real time. Two different approaches have
been implemented in simulating some lava flows. Firstly, a typical technique
of the CNNs to analyze spatio-temporal phenomena (as Autowaves) in 2-D and
in 3-D has been utilized. Secondly, the CNNs have been used as solvers of
partial differential equations of the Navier-Stokes treatment of Newtonian
flow. |
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