Name
Title | ||
|---|---|---|
Intelligent Modeling and Prediction of Elastic Modulus of Concrete Strength via Gene Expression Programming. |
Abstract | ||
|---|---|---|
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. © 2013 Springer-Verlag Berlin Heidelberg. |
Year | DOI | Venue |
|---|---|---|
2013 | 10.1007/978-3-642-38703-6_66 | ICSI (1) |
Keywords | Field | DocType |
compressive strength,formulation,gene expression programming,normal and high strength concrete,tangent elastic modulus | Elastic modulus,Gene expression programming,Mathematical optimization,Computer science,Compressive strength,Young's modulus,Structural engineering | Conference |
Volume | Issue | ISSN |
7928 LNCS | PART 1 | 16113349 |
Citations | PageRank | References |
1 | 0.41 | 1 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Amir Hossein Gandomi | 1 | 1836 | 110.25 |
| Amir Hossein Alavi | 2 | 1016 | 45.59 |
| T. O. Ting | 3 | 58 | 11.49 |
| Xin-She Yang | 4 | 5433 | 241.09 |