چکیده مقاله
This article deals with use of advanced multivariate statistical techniques for prediction of compressive strength of concrete using ingredients proportions The parameters representing the concrete are normally highly correlated Different multivariate statistical techniques appropriate for analysis of multicollinear data are discussed, and efficiency of stepwise regression in analyzing multicollinear data set was investigated Principal component regression was used to analyse the multicollinear data and to build a predictive model of 28 day compressive strength of concrete The efficiency of the proposed method is verified using an actual concrete mix proportioning dataset Results indicated that principal component regression in very efficient in prediction of concrete strength using mix proportion data
کلیدواژهها
نویسندگان
بهروز احمدی ندوشن
Assistant professor, Department of civil engineering , yazd university
شیوه ارجاع
Ahmadi-Nedushan, Behrooz,1388,Estimation of concrete compressive strength using advanced multivariate statistical techniques,8th International Congress on Civil Engineering,Shiraz
ارائهشده در
مجموعه مقالات هشتمین کنگره بین المللی مهندسی عمران21 اردیبهشت 1388 · شیراز