OPTIMIZATION OF MASS CONCRETE CONSTRUCTION USING GENETIC ALGORITHMS

Abstract eng:
This paper presents a procedure to optimize the construction of massive concrete structures using genetic algorithms. The main loading condition for such structures corresponds to strains imposed by the effects of the hydration reaction, namely the thermal strains and the autogenous shrinkage strains. The coupled model developed by Ulm and Coussy implemented in a 3D computer code may be used to compute the transient hydration, thermal and stress fields. The decision variables for the optimization process are: the material characterized by its hydration properties; the thickness of the lifts; the placing frequency and the placing temperature. The optimization problem is defined by the fitness function which is the total cost of the construction and the constraint (penalty) which corresponds to thermal cracking. The example corresponding to the layered construction of a concrete block displays the potentiality of the present method as an optimization tool for massive concrete structures.

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