A new systematic firefly algorithm for forecasting the durability of reinforced recycled aggregate concrete

作     者：Wafaa Mohamed SHABAN Khalid ELBAZ Mohamed AMIN Ayat gamal ASHOUR Wafaa Mohamed SHABAN;Khalid ELBAZ;Mohamed AMIN;Ayat gamal ASHOUR

作者机构：Department of Civil and Environmental EngineeringCollege of EngineeringShantou UniversityShantou 515063China Department of Civil EngineeringMisr Higher Institute of Engineering and TechnologyMansouraEgypt Department of Civil EngineeringHigher Future Institute of Engineering and TechnologyMansouraEgypt Guangdong Engineering Center for Structure Safety and Health MonitoringShantou UniversityShantou 515063China Civil and Architectural Construction DepartmentFaculty of Technology and EducationSuez UniversityIsmailiaEgypt Department of Civil and Environmental EngineeringCollage of EngineeringUniversity of SharjahSharjah 27272UAE 

出 版 物：《Frontiers of Structural and Civil Engineering》 (结构与土木工程前沿（英文版）)

年 卷 期：2022年第16卷第3期

页      面：329-346页

核心收录：

学科分类：0711[理学-系统科学] 0830[工学-环境科学与工程（可授工学、理学、农学学位）] 08[工学] 081304[工学-建筑技术科学] 0805[工学-材料科学与工程（可授工学、理学学位）] 080502[工学-材料学] 0813[工学-建筑学] 0814[工学-土木工程] 0812[工学-计算机科学与技术（可授工学、理学学位）] 

基　　金：The research work was funded by“The Pearl River Talent Recruitment project”in 2019(No.2019CX01G338) Guangdong Province&Shantou University Research Funding for New Faculty Member(No.NTF19024-2019) 

主　　题：chloride penetrability recycled aggregate concrete machine learning concrete components durability 

摘      要：This study presents a new systematic algorithm to optimize the durability of reinforced recycled aggregate *** proposed algorithm integrates machine learning with a new version of the firefly algorithm called chaotic based firefly algorithm(CFA)to evolve a rational and efficient predictive *** CFA optimizer is augmented with chaotic maps and Levy flight to improve the firefly performance in forecasting the chloride penetrability of strengthened recycled aggregate concrete(RAC).A comprehensive and credible database of distinctive chloride migration coefficient results is used to establish the developed algorithm.A dataset composite of nine effective parameters,including concrete components and fundamental characteristics of recycled aggregate(RA),is used as input to predict the migration coefficient of strengthened RAC as output,k-fold cross validation algorithm is utilized to validate the hybrid *** numerical benchmark analyses are applied to prove the superiority and applicability of the CFA algorithm in predicting chloride *** show that the developed CFA approach significantly outperforms the firefly algorithm on almost tested functions and demonstrates powerful *** addition,the proposed strategy can be an active tool to recognize the contradictions in the experimental results and can be especially beneficial for assessing the chloride resistance of RAC.