Inversion Analysis on the Initial Damage of Concrete

Xiao Li Li; Zhao Long Yin

doi:10.4028/www.scientific.net/AMM.543-547.4048

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 543-547Inversion Analysis on the Initial Damage of...

Inversion Analysis on the Initial Damage of Concrete

Abstract:

The inverse analysis method based on genetic algorithm has been widely applied, but the general genetic algorithm is not applicable to the objective function as a non-analytic formula, so that the clear target function formula is often difficultly been obtained in the practical engineering. In order to solve the problem, the historical data are studied by neural network with the neural network embedded into the genetic algorithm, so as to establish the effective neural network model to replace the target function formula. At the same time, the corresponding fitness function is constructed for the optimal calculation. This method has been used for the inversion analysis on the initial damage of concrete, and the mechanical parameter inversion method is put forward based on the uniform design-genetic algorithm-neural network ensemble theory. Moreover, the method is verified by a calculation example, the results show that the initial damage value of concrete can effectively be obtained.

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Periodical:

Applied Mechanics and Materials (Volumes 543-547)

Pages:

4048-4051

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.543-547.4048

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Cite this paper

Online since:

March 2014

Authors:

Xiao Li Li*, Zhao Long Yin

Keywords:

BP Neural Network (BPNN), Concrete, Genetic Algorithm (GA), Initial Damage, Inversion

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* - Corresponding Author

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