Cost Optimization of Reinforced Concrete Frames Using Genetic Algorithms
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Date
2017-03
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Addis Ababa University
Abstract
In this research, cost optimization of reinforced concrete plane and space frames using
genetic algorithms is presented. Previous research endeavors have used highly simpli ed
continuous and discrete optimization models, while ignoring constructibility. Additionally,
the optimization of 3D frames was done without due consideration to shear, torsional
e ects and sizing constraints. This paper constructs an optimization model with these
points in mind. An integrated software architecture has been developed to implement
the method, and benchmark examples were used to compare its feasibility and e ciency
with the traditional assume-check design method as well as other heuristic methods. Design
check procedures were based on Eurocode-2(2004). Performance and computational
complexity of the algorithm is developed along with a thorough study assessing the e ect
of genetic parameters such as mutation and crossover on the optimization process. The
method developed proves to be superior as compared to the traditional design paradigm
and heuristic methods.
Keywords: Concrete Frame Optimization, Structural Optimization, Genetic Algorithms,
Eurocode , Sizing Optimization, Object-Oriented Model
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Keywords
Concrete Frame Optimization; Structural Optimization; Genetic Algorithms; Eurocode ; Sizing Optimization; Object-Oriented Model