Intelligent Modeling and Prediction of Elastic Modulus of Concrete Strength via Gene Expression Programming

摘要：

　　The accurate prediction of the elastic modulus of concrete can be very important in civil engineering applications.We use gene expression programming (GEP) to model and predict the elastic modulus of normal strength concrete (NSC) and high-strength concrete (HSC).The proposed models can relate the modulus of elasticity of NSC and HSC to their compressive strength, based on reliable experimental databases obtained from the published literature.Our results show that GEP can be an effective method for deriving simplified and precise formulations for the elastic modulus of NSC and HSC.Furthermore, the comparison study in the present work indicates that the GEP predictions are more accurate than other methods.

关键词： Tangent elastic modulus Normal and High strength concrete Gene expression programming Compressive strength Formulation

作者: Amir Hossein Gandomi Amir Hossein Alavi T.O.Ting Xin-She Yang

作者单位: Department of Civil Engineering, The University of Akron, Akron, OH 44325-3905, USA Department of Civil and Environmental Engineering, Engineering Building,Michigan State University, E Department of Electrical and Electronic Engineering, Xian Jiaotong-Liverpool University,Suzhou, Jia School of Science and Technology, Middlesex University Hendon Campus, London, UK

会议类型: 国际会议

会议名称: 4th international Conference,ICSI2013(第4届群体智能国际会议)

会议地点: 哈尔滨

会议语种:英文

页码: 564-571

在线出版日期: 2013-06-12（万方平台首次上网日期，不代表论文的发表时间）