Prediction of mechanical properties of recycled aggregate concretes containing silica fume using artificial neural networks and fuzzy logic

[1]  Michio Sugeno,et al.  Fuzzy identification of systems and its applications to modeling and control , 1985, IEEE Transactions on Systems, Man, and Cybernetics.

[2]  I. Topcu.  Physical and mechanical properties of concretes produced with waste concrete , 1997 .

[3]  Roger Duval,et al.  Influence of Silica Fume on the Workability and the Compressive Strength of High-Performance Concretes , 1998 .

[4]  Zekai Şen,et al.  Fuzzy algorithm for estimation of solar irradiation from sunshine duration , 1998 .

[5]  Andrzej Ajdukiewicz,et al.  Influence of recycled aggregates on mechanical properties of HS/HPC , 2002 .

[6]  J. J. Brooks,et al.  Effect of silica fume on mechanical properties of high-strength concrete , 2004 .

[7]  I. Topcu,et al.  Properties of concretes produced with waste concrete aggregate , 2004 .

[8]  Sibel Pamukcu,et al.  Data generation for shear modulus and damping ratio in reinforced sands using adaptive neuro-fuzzy inference system , 2004 .

[9]  Ragip Ince,et al.  Prediction of fracture parameters of concrete by Artificial Neural Networks , 2004 .

[10]  Jerzy Hoła,et al.  New technique of nondestructive assessment of concrete strength using artificial intelligence , 2005 .

[11]  V. Corinaldesi,et al.  Leaching and mechanical behaviour of concrete manufactured with recycled aggregates. , 2005, Waste management.

[12]  Chuanzeng Zhang,et al.  Mechanical Properties of Recycled Aggregate Concrete Under Uniaxial Loading , 2005 .

[13]  F. Demir.  A new way of prediction elastic modulus of normal and high strength concrete—fuzzy logic , 2005 .

[14]  Manish A. Kewalramani,et al.  Concrete compressive strength prediction using ultrasonic pulse velocity through artificial neural networks , 2006 .

[15]  Hiroshi Mutsuyoshi,et al.  Prediction of shear strength of steel fiber RC beams using neural networks , 2006 .

[16]  A. Öztas,et al.  Appraisal of long-term effects of fly ash and silica fume on compressive strength of concrete by neural networks , 2007 .

[17]  Alper Sezer,et al.  Prediction of sulfate expansion of PC mortar using adaptive neuro-fuzzy methodology , 2007 .