Identification of microplane model parameters from experiments in uniaxial compression

Abstract eng:
In this paper we present an identification method of microplane model parameters from results of experiments in a uniaxial deformation on concrete. Novelties are usage of the Latin Hypercube Sampling method for generation of training sets, a sensitivity analysis and genetic algorithm based training of a neural network by the evolutionary algorithm SADE. Advantages and disadvantages of this approach together with possible extensions are thoroughly discussed and analyzed.

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