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International Journal of Optimaization in Civil Engineering، جلد ۱۰، شماره ۲، صفحات ۲۰۱-۲۱۵
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عنوان انگلیسی MODELING THE COMPRESSIVE STRENGTH OF CONCRETE MADE WITH EXPANDED PERLITE POWDER
چکیده انگلیسی مقاله In recent years, soft computing and artificial intelligence techniques such as artificial neural network (ANN) and adaptive neuro-fuzzy inference system (ANFIS) have been effectively used in various civil engineering applications. This study aims to examine the potential of ANN and ANFIS for modeling the compressive strength of concrete containing expanded perlite powder (EPP). For doing this, a total of forty-five EPP incorporated concrete mixtures were produced and tested for compressive strength at different curing ages of 3, 7, 28, 42 and 90 days. Two different ANN models were developed and the suitable and stable ANN architecture for each model was considered by calculating various statistical parameters. For comparative purposes, two ANFIS models with different membership functions were also trained. According to the results, it can be concluded that the proposed ANN models relatively give a good degree of accuracy in predicting the compressive strength of concrete made with EPP, higher than that of observed from ANFIS models.
کلیدواژه‌های انگلیسی مقاله
نویسندگان مقاله | D. Pourrostam


| S. Y. Mousavi


| T. Bakhshpoori


| K. Shabrang


نشانی اینترنتی http://ijoce.iust.ac.ir/browse.php?a_code=A-10-66-261&slc_lang=en&sid=1
فایل مقاله اشکال در دسترسی به فایل - ./files/site1/rds_journals/426/article-426-2332202.pdf
کد مقاله (doi)
زبان مقاله منتشر شده en
موضوعات مقاله منتشر شده Applications
نوع مقاله منتشر شده پژوهشی
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