Automated design of reinforced concrete frames

Abstract eng:
This paper presents discrete optimization of reinforced concrete structures based on an efficient combination of deterministic and stochastic optimization strategies. The deterministic optimization algorithm is used for the detailing of a reinforced concrete cross-section for a given combination of internal forces. The stochastic optimization algorithm, based on the Augmented Simulated Annealing, is used for the optimization of a whole structure in terms of basic structural characteristics like types of materials, dimensions of elements or profiles of steel bars. The implicit parallelization of genetic algorithm is implemented to reduce the overall computational time.

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