Evolutionary Optimization Of Normally Operated Reinforced Concrete Beam Structures Taking Into Account The Risk Of Accidents

Abstract

An algorithm for search optimizing reinforced concrete beam systems using the theory of evolutionary modeling has been developed. The search for this solution is performed on the formed areas of permissible values of the variable parameters represented by discrete sets of values. These parameters are dimensions of the cross sections of an element, a concrete class, a class and diameters of steel reinforcement. One of the main active constraints is the value of cost expression of the material losses risk in case of possible structure failure. The main difference between the proposed algorithm and classical evolutionary methods is the use of a new controlled random change operator to find the solution in the iterative process. Herewith other evolutionary operators are not used. To assess the productivity of the proposed algorithm, an example of a two-span beam designing is given. The presented developments make it possible to obtain design solutions for reinforced concrete beam structures taking into account the optimal ratio of costs for the structure manufacturing and the risks costs of its failure under normal operating conditions.