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Genetic Programming Based Formulation to Predict Compressive Strength of High Strength Concrete | ||
| Civil Engineering Infrastructures Journal | ||
| مقاله 1، دوره 50، شماره 2، اسفند 2017، صفحه 207-219 اصل مقاله (919.6 K) | ||
| نوع مقاله: Research Papers | ||
| شناسه دیجیتال (DOI): 10.7508/ceij.2017.02.001 | ||
| نویسندگان | ||
| Gholamreza Abdollahzadeh* 1؛ Ehsan Jahani2؛ Zahra Kashir3 | ||
| 1Faculty of Civil Engineering, Babol University of Technology | ||
| 2University of Mazandaran | ||
| 3Tabari University of Babol | ||
| چکیده | ||
| 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. | ||
| کلیدواژه‌ها | ||
| compressive strength؛ Gene Expression Programming؛ HSC؛ Silica Fume | ||
| مراجع | ||
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