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Efficient optimum seismic design of reinforced concrete frames with nonlinear structural analysis procedures

Mergos, P. E. ORCID: 0000-0003-3817-9520 (2018). Efficient optimum seismic design of reinforced concrete frames with nonlinear structural analysis procedures. Structural and Multidisciplinary Optimization, 58(6), pp. 2565-2581. doi: 10.1007/s00158-018-2036-x

Abstract

Performance - based seismic design offers enhanced control of structural damage for different levels of earthquake hazard. Nevertheless, the number of studies dealing with the optimum performance - based seismic design of reinforced concrete frames is rather limited. This observation can be attributed to the need for nonlinear structural analysis procedures to calculate seismic demands. Nonlinear analysis of reinforced concrete frames is accompanied by high computational costs and require s a priori knowledge of steel reinforcement. To address this issue, previous studies on optimum performance-based seismic design of reinforced concrete frames use independent design variables to represent steel reinforcement in the optimization problem. This approach drives to a great number of design variables , which magnifies exponentially the search space undermining the ability of the optimization algorithms to reach the optimum solutions. This study presents a computationally efficient procedu re tailored to the optimum performance-based seismic design of reinforced concrete frames. The novel feature of the proposed approach is that it employs a deformation-based, iterative procedure for the design of steel reinforcement of reinforced concrete frames to meet their performance objectives given the cross-sectional dimensions of the structural me mbers. In this manner, only the cross-sectional dimensions of structural members need to be addressed by the optimization algorithms as independent design variables. The developed solution strategy is applied to the optimum seismic design of reinforced concrete frames using pushover and nonlinear response-history analysis and it is found that it outperforms previous solution approaches .

Publication Type: Article
Additional Information: This is a post-peer-review, pre-copyedit version of an article published in 'Structural and Multidisciplinary Optimization'. The final authenticated version is available online at: https://doi.org/10.1007/s00158-018-2036-x
Publisher Keywords: Reinforced concrete; seismic design; performance-based; structural optimization; computationally efficient; nonlinear structural analysis; genetic algorithms
Subjects: T Technology > TA Engineering (General). Civil engineering (General)
Departments: School of Science & Technology > Engineering
SWORD Depositor:
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