Optimal Design of Reinforced Concrete Frames Considering Seismic Provisions Using Genetic Algorithms with Modified Leader Reproduction
|
|
|||||||||||
Bibliographic Details
| Author(s): |
Alden Paul D. Balili
Andres Winston C. Oreta |
||||
|---|---|---|---|---|---|
| Medium: | conference paper | ||||
| Language(s): | English | ||||
| Conference: | IABSE Symposium: Sustainable Infrastructure - Environment Friendly, Safe and Resource Efficient, Bangkok, Thailand, 9-11 September 2009 | ||||
| Published in: | IABSE Symposium Bangkok 2009 | ||||
|
|||||
| Page(s): | 11-20 | ||||
| Total no. of pages: | 8 | ||||
| Year: | 2009 | ||||
| DOI: | 10.2749/222137809796067597 | ||||
| Abstract: |
This paper discusses the application of Genetic Algorithms (GA) in the design optimization of concrete frames that are resistant against seismic loads. The application of GA to the optimization of concrete frames is discussed. After this, the Concrete Optimization Program (COP) and its 4 main components are discussed briefly. The performance of the COP using different GA constants and improved operators were tested on a 2-storey frame. From the initial results, it can be observed that using simple GA with enhancements is insufficient to provide a practical and efficient means of optimizing a concrete frame. In light of this situation, the modified leader reproduction (MLR) was conceived to improve the overall performance of the COP. The performance of the COP with MLR was tested on both a 2-storey and 4-storey frame. From the results, it was confirmed that using MLR enhanced the efficiency and capability of the COP to yield economical and feasible results. |
||||
| Keywords: |
seismic design structural optimization genetic algorithms concrete design
|
||||