Evaluation of ultimate conditions of FRP-confined concrete columns using genetic programming
نویسندگان
چکیده
A large database consisting of 832 axial compression tests results of fiber reinforced polymer (FRP)confined concrete specimens was assembled. Using the test database, existing conventional and evolutionary algorithm models developed for FRP-confined concrete were then assessed. New genetic programming (GP) models for predicting the ultimate condition of FRP-confined concrete were developed. The predictions of the proposed models suggest that more accurate results can be achieved in explaining and formulating the ultimate condition of FRP-confined concretes by GP. The model assessment also illustrates the influences of the size of the databases and the selected parameters used in the GP models. 2015 Elsevier Ltd. All rights reserved.
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