This study presents a new systematic algorithm to optimize the durability of reinforced recycled aggregate concrete.The 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 model.The 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 algorithm.Three numerical benchmark analyses are applied to prove the superiority and applicability of the CFA algorithm in predicting chloride penetrability.Results show that the developed CFA approach significantly outperforms the firefly algorithm on almost tested functions and demonstrates powerful prediction.In 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.

Wafaa Mohamed SHABAN;Khalid ELBAZ;Mohamed AMIN;Ayat gamal ASHOUR

Department of Civil and Environmental Engineering,College of Engineering,Shantou University,Shantou 515063,China;Department of Civil Engineering,Misr Higher Institute of Engineering and Technology,Mansoura,Egypt;Department of Civil Engineering,Higher Future Institute of Engineering and Technology,Mansoura,Egypt;Guangdong Engineering Center for Structure Safety and Health Monitoring,Shantou University,Shantou 515063,China;Civil and Architectural Construction Department,Faculty of Technology and Education,Suez University,Ismailia,Egypt;Department of Civil and Environmental Engineering,Collage of Engineering,University of Sharjah,Sharjah 27272,UAE

结构与土木工程前沿

[1]Wafaa Mohamed SHABAN;Khalid ELBAZ;Mohamed AMIN;Ayat gamal ASHOUR-.A new systematic firefly algorithm for forecasting the durability of reinforced recycled aggregate concrete)[J].结构与土木工程前沿,2022(03):329-346

new,systematic,firefly,algorithm,forecasting,durability,reinforced,recycled,aggregate,concrete,This,study,presents,proposed,integrates,machine,learning,version,called,chaotic,CFA,evolve,rational,predictive,model,optimizer,augmented,maps,Levy,flight,improve,performance,chloride,penetrability,strengthened,RAC,comprehensive,credible,database,distinctive,migration,coefficient,results,used,establish,developed,dataset,composite,nine,effective,parameters,including,components,fundamental,characteristics,input,output,fold,cross,validation,utilized,validate,hybrid,Three,numerical,benchmark,analyses,are,applied,superiority,applicability,predicting,Results,show,that,approach,significantly,outperforms,almost,tested,functions,demonstrates,powerful,prediction,In,addition,strategy,active,tool,recognize,contradictions,experimental,especially,beneficial,assessing,resistance

0.529