Open AccessEstimation of rigidity of concrete based on multi parameters using artificial bee colony optimization method with levy flight distribution
Author(s) -
Niyazi Uğur Koçkal,
İbrahim Aydoğdu
Publication year - 2020
Publication title -
filomat
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.449
H-Index - 34
eISSN - 2406-0933
pISSN - 0354-5180
DOI - 10.2298/fil2002583k
Subject(s) - rigidity (electromagnetism) , mathematics , nonlinear regression , nonlinear system , goodness of fit , compressive strength , aggregate (composite) , consistency (knowledge bases) , mathematical optimization , cement , regression analysis , statistics , structural engineering , engineering , materials science , composite material , physics , geometry , quantum mechanics
The rigidity of the materials used in the structures affects most deformation characteristics. Therefore, obtaining information about the rigidity of materials is essential for the behavior of the structures. In the study, 32 different equations were derived by usage of eight parameters in various combinations to estimate elastic modulus of concrete. These parameters are compressive strength, unit weight, water-cement ratio, consistency, cement amount, fine aggregate - course aggregate ratio and air content. Multidimensional nonlinear regression models were generated between equation models and test results. The optimization process is applied to solve regression models. An improved version of Artificial Bee Colony Optimization algorithm by adding levy flight distribution (ABC LF) is used as the optimization method. Estimated values are compared to test results to determine the goodness of the equations. The effectiveness of the parameters is investigated according to the comparison as well.