Name
Title | ||
|---|---|---|
New prediction models for concrete ultimate strength under true-triaxial stress states: An evolutionary approach. |
Abstract | ||
|---|---|---|
Abstract The complexity associated with the in-homogeneous nature of concrete suggests the necessity of conducting more in-depth behavioral analysis of this material in terms of different loading configurations. Distinctive feature of Gene Expression Programming (GEP) has been employed to derive computer-aided prediction models for the multiaxial strength of concrete under true-triaxial loading. The proposed models correlate the concrete true-triaxial strength (σ 1 ) to mix design parameters and principal stresses (σ 2 ,σ 3 ), needless of conducting any time-consuming laboratory experiments. A comprehensive true-triaxial database is obtained from the literature to build the proposed models, subsequently implemented for the verification purposes. External validations as well as sensitivity analysis are further carried out using several statistical criteria recommended by researchers. More, they demonstrate superior performance to the other existing empirical and analytical models. The proposed design equations can readily be used for pre-design purposes or may be used as a fast check on deterministic solutions. |
Year | Venue | Field |
|---|---|---|
2017 | Advances in Engineering Software | Gene expression programming,Mathematical optimization,Computer-aided,Computer science,Distinctive feature,Behavioral analysis,Ultimate tensile strength,Predictive modelling,Structural engineering |
DocType | Volume | Citations |
Journal | 110 | 1 |
PageRank | References | Authors |
0.40 | 5 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Saeed K. Babanajad | 1 | 1 | 0.40 |
| Amir Hossein Gandomi | 2 | 1836 | 110.25 |
| Amir Hossein Alavi | 3 | 1016 | 45.59 |