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Earthquake Design of Reinforced Concrete Buildings Using NSGA-II
- Source :
- Advances in Civil Engineering, Vol 2018 (2018)
- Publication Year :
- 2018
- Publisher :
- Wiley, 2018.
-
Abstract
- In the present study, the optimal seismic design of reinforced concrete (RC) buildings is obtained. For this purpose, genetic algorithms (GAs) are used through the technique NSGA-II (Nondominated Sorting Genetic Algorithm), thus a multiobjective procedure with two objective functions is established. The first objective function is the control of maximum interstory drift which is the most common parameter used in seismic design codes, while the second is to minimize the cost of the structure. For this aim, several RC buildings are designed in accordance with the Mexico City Building Code (MCBC). It is assumed that the structures are constituted by rectangular and square concrete sections for the beams, columns, and slabs which are represented by a binary codification. In conclusion, this study provides complete designed RC buildings which also can be used directly in the structural and civil engineering practice by means of genetic algorithms. Moreover, genetic algorithms are able to find the most adequate structures in terms of seismic performance and economy.
- Subjects :
- Engineering (General). Civil engineering (General)
TA1-2040
Subjects
Details
- Language :
- English
- ISSN :
- 16878086 and 16878094
- Volume :
- 2018
- Database :
- Directory of Open Access Journals
- Journal :
- Advances in Civil Engineering
- Publication Type :
- Academic Journal
- Accession number :
- edsdoj.1d58148bef15468eb58225478539c149
- Document Type :
- article
- Full Text :
- https://doi.org/10.1155/2018/5906279