This paper describes an algorithm of qualitative simulation of the rheological response of a visco-elastic material to creep-like experiments, that is tests in which a material is subject to an external force and the time evolution of the produced deformation is observed. The algorithm is designed to operate at the lowest level of description of the material, expressed by a symbolic qualitative model, called rheological formula. A rheological formula describes symbolically the structure of an analogical mechanical model of the material, obtained connecting in series or in parallel basic components reproducing the elastic and viscous response. The qualitative behavior of a material in response to the action of an external force is built by assembling the individual responses of the basic components in accordance with their modality of interaction.

A qualitative simulation algorithm for the rheological behavior of visco-elastic materials

L Ironi;S Tentoni
1992

Abstract

This paper describes an algorithm of qualitative simulation of the rheological response of a visco-elastic material to creep-like experiments, that is tests in which a material is subject to an external force and the time evolution of the produced deformation is observed. The algorithm is designed to operate at the lowest level of description of the material, expressed by a symbolic qualitative model, called rheological formula. A rheological formula describes symbolically the structure of an analogical mechanical model of the material, obtained connecting in series or in parallel basic components reproducing the elastic and viscous response. The qualitative behavior of a material in response to the action of an external force is built by assembling the individual responses of the basic components in accordance with their modality of interaction.
1992
Istituto di Matematica Applicata e Tecnologie Informatiche - IMATI -
Inglese
Grierson D.E., Rzevski G., Adey R.A.
Applications of Artificial Intelligence in Engineering VII
17th International Conference on Applications of Artificial Intelligence in Engineering - AIENG/92
1117
1130
14
1851667873
elsevier applied science
barking
REGNO UNITO DI GRAN BRETAGNA
Sì, ma tipo non specificato
1992
Waterloo, Ontario, Canada
N/A
3
none
Capelo, Ac; Ironi, L; Tentoni, S
273
info:eu-repo/semantics/conferenceObject
04 Contributo in convegno::04.01 Contributo in Atti di convegno
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/20.500.14243/220030
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