Browsing "04. Mühendislik Fakültesi / Faculty of Engineering" by Subject Compressive strength

Showing results 1 to 9 of 9
Issue DateTitleAuthor(s)
Aug-2005Artificial neural network (ANN) prediction of compressive strength of VARTM processed polymer compositesSeyhan, Abdullah Tuğrul; Tayfur, Gökmen ; Karakurt, Murat; Tanoğlu, Metin 
Aug-2010Evaluation of heat treated clay for potential use in intervention mortarsBudak, Meral; Akkurt, Sedat ; Böke, Hasan 
2020The expansion behavior of slurries containing recycled glass powder carboxymethyl cellulose, lime and aluminum powderZeren, Doğuş; Şentürk, Ufuk ; Güden, Mustafa 
Aug-2004Fuzzy logic model for the prediction of cement compressive strengthAkkurt, Sedat ; Tayfur, Gökmen ; Can, Sever
2012Investigation of HA cement preparation and properties by using central composite designÇetin, Ali Emrah; Şimşek, Deniz ; Çiftçioğlu, Muhsin ; Akdeniz, Yelda; Özmıhçı, Filiz ; Aykut Yetkiner, Arzu
15-Mar-2015Permeability properties of self-consolidating concrete containing various supplementary cementitious materialsSaleh Ahari, Reza; Erdem, Tahir Kemal ; Ramyar, Kambiz
2021Processing and characterization of geopolymer and sintered geopolymer foams of waste glass powdersPolat, Dilan ; Güden, Mustafa 
1-Nov-2014Strength prediction of high-strength concrete by fuzzy logic and artificial neural networksTayfur, Gökmen ; Erdem, Tahir Kemal ; Kırca, Önder
Jul-2003The use of GA-ANNs in the modelling of compressive strength of cement mortarAkkurt, Sedat ; Özdemir, Serhan ; Tayfur, Gökmen ; Akyol, Burak