SOFT-COMPUTING MODEL FOR COMPRESSIVE STRENGTH OF MORTARS WITH BLENDED CEMENTS
The 90 experimental data samples previously validated in the current literature regarding the compressive strength of mortars have been collected and evaluated to develop the practical soft-computing model which is presented in this study for prediction of the compressive strength of mortars with bl...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
Anadolu University
2018-03-01
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| Series: | Anadolu University Journal of Science and Technology. A : Applied Sciences and Engineering |
| Subjects: | |
| Online Access: | http://dergipark.gov.tr/aubtda/issue/36292/332714?publisher=anadolu |
| Summary: | The 90 experimental data samples previously validated in the current literature regarding the compressive
strength of mortars have been collected and evaluated to develop the practical
soft-computing model which is presented in this study for prediction of the
compressive strength of mortars with blended cements. The presented model
provides many economical, technical and environmental benefits to be swiftly
implemented into the practice. It is formulated based on the soft-computing
techniques of genetic expression programming (GEP) by considering the model
factors including as specific weight and surface of cement, water/cement ratio,
testing age, the amounts of clinker, limestone, pozzolana and gypsum. Paper
explains the validity of the presented model with that randomly selected
experimental sub datasets available in the current literature. The findings illustrate
that the presented GEP model has a favorable potential for estimating the
compressive strength of mortars with blended cements. |
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| ISSN: | 1302-3160 2146-0205 |