Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
385433 | Expert Systems with Applications | 2011 | 12 Pages |
Compressive strength and splitting tensile strength are both mechanical properties of concrete that are utilized in structural design. This study presents gene expression programming (GEP) as a new tool for the formulations of splitting tensile strength from compressive strength of concrete. For purpose of building the GEP-based formulations, 536 experimental data have been gathered from existing literature. The GEP-based formulations are developed for splitting tensile strength of concrete as a function of age of specimen and cylinder compressive strength. In experimental parts of this study, cylindrical specimens of 150 × 300 mm and 100 × 200 mm in dimensions are utilized. Training and testing sets of the GEP-based formulations are randomly separated from the complete experimental data. The GEP-based formulations are also validated with additional 173 data of experimental results other than the data used in training and testing sets of the GEP-based formulations. All of the results obtained from the GEP-based formulations are compared with the results obtained from experimental data, the developed regression-based formulation and formulas given by some national building codes. These comparisons showed that the GEP-based formulations appeared to well agree with the experimental data and found to be quite reliable.
► This study presents GEP as a new tool for the formulations of splitting tensile strength from cylinder compressive strength of concrete. ► The GEP formulations are developed for splitting tensile strength of concrete as a function of age of specimen and cylinder compressive strength. ► All of the results obtained from the GEP formulations are compared with the results obtained from experimental data, the developed regression-based formulation, and some national building codes. ► These comparisons showed that the GEP formulations appeared to well agree with the experimental data and found to be quite reliable.