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Paper Information

Journal:   CIVIL ENGINEERING INFRASTRUCTURES JOURNAL (CEIJ) (JOURNAL OF FACULTY OF ENGINEERING)   DECEMBER 2017 , Volume 50 , Number 2; Page(s) 207 To 219.
 
Paper: 

GENETIC PROGRAMMING BASED FORMULATION TO PREDICT COMPRESSIVE STRENGTH OF HIGH STRENGTH CONCRETE

 
 
Author(s):  ABDOLLAHZADEH G.R.*, JAHANI E., KASHIR Z.
 
* FACULTY OF CIVIL ENGINEERING, BABOL NOSHIRVANI UNIVERSITY OF TECHNOLOGY, BABOL, IRAN
 
Abstract: 

This study introduces, two models based on Gene Expression Programming (GEP) to predict compressive strength of high strength concrete (HSC). Composition of HSC was assumed simplified, as a mixture of six components (cement, silica fume, super-plastisizer, water, fine aggregate and coarse aggregate). The 28-day compressive strength value was considered the target of the prediction. Data on 159 mixes were taken from various publications. The system was trained based on 80% training pairs chosen randomly from the data set and then tested using remaining 20% samples. Therefore it can be proven and illustrated that the GEP is a strong technique for the prediction of compressive strength amounts of HSC concerning to the outcomes of the training and testing phases compared with experimental outcomes illustrate that the.

 
Keyword(s): COMPRESSIVE STRENGTH, GENE EXPRESSION PROGRAMMING, HSC, SILICA FUME
 
References: 
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