کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
250051 502650 2007 6 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Prediction of sulfate expansion of PC mortar using adaptive neuro-fuzzy methodology
موضوعات مرتبط
مهندسی و علوم پایه مهندسی انرژی انرژی های تجدید پذیر، توسعه پایدار و محیط زیست
پیش نمایش صفحه اول مقاله
Prediction of sulfate expansion of PC mortar using adaptive neuro-fuzzy methodology
چکیده انگلیسی

The prediction of sulfate attack is essential for concrete structures since it causes drastic decrements in strength and in expansion attributes of cementitious systems. In this study, the nonlinear mapping among sulfate expansion of PC mortar and some selected parameters (C3A content, C3S/C2S ratio, sulfate concentration and mineral admixture substitution level) was simulated using adaptive neuro-fuzzy system. Experimental data that had been previously collected for various levels of accounted parameters were treated in the analyses. In neuro-fuzzy inference system, Sugeno-type inference technique and linear output function were used to perform approximate reasoning of fuzzy input variables. In addition, hybrid learning algorithm, combining backpropagation learning and linear least-squares estimator, were preferred for the adaptation of free parameters. Consequently, neuro-fuzzy model was compared with results obtained using linear and nonlinear multiple regression methodologies to make comparison among different techniques. Outcomes indicated that neuro-fuzzy model exhibits superior performance.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Building and Environment - Volume 42, Issue 3, March 2007, Pages 1264–1269
نویسندگان
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