1.1 INTRODUCTION Since the very beginning of Engineering Sciences, engineers have been interested in numerical simulations of whatever physical system they were considering, in order to obtain accurate predictions of the behavior of the system they were building under various circumstances: such predictions allow one in turn to optimize the target realization (mechanical structure, chemical plant, : : :). The main causes of errors in simulated models are recognized to be the too large simpliication of the underlying physical phenomenon (e.g. using linear elastic models in Structural Mechanics), or the numerical errors during the numerical computations (e.g. due to the non-linearities when using some plastic model). However, a third cause of error should not be neglected: even under given physical hypotheses, some internal laws must be given before actually computing a simulated behavior. Those can reduce to a few coeecients (e.g. Young and Poisson modules in the elastic model), or take more complex form (e.g. the whole plasticity convex for elasto-plastic models of structures). This paper is concerned with the identiication of the constitutive law of materials in the framework of one-dimensional elasto-visco-plastic rheological models. The behavior of such a material can be approached by considering it is well approximated by the reaction of an assembly of elementary modules representing the basic possible
[1]
Marc Schoenauer,et al.
Evolutionary Chromatographic Law Identification by Recurrent Neural Nets
,
1995,
Evolutionary Programming.
[2]
Thomas Bäck,et al.
An Overview of Evolutionary Algorithms for Parameter Optimization
,
1993,
Evolutionary Computation.
[3]
Joseph Zarka,et al.
Modelling small deformations of polycrystals
,
1986
.
[4]
John R. Koza,et al.
Genetic programming - on the programming of computers by means of natural selection
,
1993,
Complex adaptive systems.
[5]
John R. Koza,et al.
Genetic programming 2 - automatic discovery of reusable programs
,
1994,
Complex Adaptive Systems.
[6]
Michèle Sebag,et al.
Evolutionary identification of macro-mechanical models
,
1996
.
[7]
J. Zarka,et al.
A new approach in inelastic analysis of structures
,
1990
.
[8]
J. Kichenin,et al.
Finite-element simulation of a new two-dissipative mechanisms model for bulk medium-density polyethylene
,
1996,
Journal of Materials Science.
[9]
E. Hansen.
Numerical Optimization of Computer Models (Hans-Paul Schwefel)
,
1983
.
[10]
Patrick D. Surry,et al.
Formal Memetic Algorithms
,
1994,
Evolutionary Computing, AISB Workshop.
[11]
E. Sanchez-Palencia,et al.
Homogenization Techniques for Composite Media
,
1987
.