期刊
ENGINEERING STRUCTURES
卷 99, 期 -, 页码 311-318出版社
ELSEVIER SCI LTD
DOI: 10.1016/j.engstruct.2015.05.001
关键词
Reinforced concrete; Optimization; Structures; Automated grouping; Cardinality constraints; Simulated annealing
资金
- CNPq - Brazil [303934/2014-0, 305099/2014-0]
- FAPEMIG - Brazil [TEC PPM 528/11, TEC PPM 388/14]
In the development of structural designs, in general, designers avoid varying the size of structural elements, seeking to group them as much as possible. These groupings produce aesthetic effects and facilitate formwork design for reinforced concrete frames, checks, and implementation. Therefore, the elements are pre-grouped into a smaller number of different cross-sections to provide an interesting and practical solution. However, the outcome is highly dependent on this grouping because the dimension of each element and, consequently, the overall cost, will be determined by the element that is the most stressed in each group. This paper minimizes the costs of the beams in reinforced concrete buildings using a grid model. The sizing is performed according to the Brazilian NBR 6118 standard [1], taking into account the flexural, shearing, torsional, and web reinforcements, in addition to checks on the service limit states (deflection and maximum crack opening). In addition to determining the beam height that leads to the lowest global cost, an automatic determination of the optimized group is performed, taking into account the required maximum number of groups. Several numerical analyses were performed using the computational implementation of the developed formulation. This paper presents the results obtained from an analysis of two floors. These results provide evidence that the chosen procedure may provide a significant reduction in the cost of a structure, even for a small number of different cross-sections. Thus, the determination of the optimum dimensions of the elements is less dependent on the designer's experience and sensitivity. The proposed procedure is easy to implement and may generate a significant reduction in the consumption of structural material when incorporated into the daily routine of project offices. (C) 2015 Elsevier Ltd. All rights reserved.
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