This paper deals with the multiobjective optimization of reinforced concrete framed structures typically used in building construction. It shows the efficiency of a multiobjective simulated annealing (MOSA) algorithm applied to two objective functions dealing with the economic cost
of the frames and with the number of bars of the reinforcement setup. The latter objective being considered important as regards the constructability of the framed structure, since lower number of bars structures are easier to construct. The evaluation of solutions follows the Spanish Code
for structural concrete. Stress resultants and envelopes of framed structures are computed by an internal matrix method program. Design loads are in accordance to the national codes for building structures. The example studied is a symmetrical building frame of 2 bays and 4 floors. This example
has 81 design variables including 8 material types of concrete, the type of steel, 24 cross-section dimensions and 48 passive reinforcement bars following a standard setup in columns and beams. Pareto results of the MOSA algorithm indicate that more practical solutions that the lower cost
solution are available at a cost increment acceptable in practice. It is concluded that MOSA optimization algorithms are a forthcoming option for improving the design of real RC building framed structures.
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concrete building frames;
Document Type: Research Article
Publication date: 01 January 2006
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