Optimization of reinforced concrete beams under local mechanical and corrosive damage
Ashot Tamrazyan, Anatoly Alekseytsev
Abstract
This article addresses the task of multicriteria optimization concerning the mechanical safety of reinforced concrete structures. New optimality criteria are formulated taking into consideration the relative risk of accidents arising as a result of natural disasters and human-induced impacts. An improved adapted genetic algorithm is developed as a basic search tool. It can be distinguished from the existing heuristic schemes by the following features. The algorithm can account for several possible accidents cenarios involving combinations of discrete or group impacts such as corrosive damage and local mechanical damage. The proposed optimization method incorporates multipoint variable operators that enable the convergence of the optimization procedure to increase by 40–60% and can effectively solve problems with a large number of variable parameters. The developed adapted genetic algorithm enables the implementation of multicriteria optimization with respect to nonlinear structural behaviour.