Empirical modeling of splitting tensile strength from cylinder compressive strength of concrete by genetic programming |
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| Authors: | Mustafa Sarıdemir |
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| Affiliation: | 1. Key Laboratory of Advanced Civil Engineering Materials, Tongji University, Ministry of Education, Shanghai 201804, China;2. School of Civil Engineering, Tianjin University, Tianjin 300350, China;3. Key Laboratory of Coast Civil Structure Safety of Ministry of Education, Tianjin University, Tianjin 300350, China;1. Department of Mechanics of Materials and Constructions (MeMC), Faculty of Engineering, Vrije Universiteit Brussel, Pleinlaan 2, 1050 Brussels, Belgium;2. Department of Civil and Materials Engineering, Royal Military Academy (RMA), Av. De la Renaissance 30, B-1000 Brussels, Belgium;1. Faculti of Civil & Environmental Engineering, Universiti Tun Hussein Onn Malaysia, Batu Pahat, Johor, MALAYSIA;2. Faculty of Civil Engineering, Universiti Teknologi Malaysia, Skudai, Johor, MALAYSIA;3. Faculty of Civil Engineering, Universiti Teknologi MARA, Shah Alam, Selangor, MALAYSIA;1. Lyles School of Civil Eng., Purdue University, 550 Stadium Mall Dr., West Lafayette, IN 47907, USA;2. Civil and Environmental Eng., Univ. of Washington, 233C More Hall, Box 352700, Seattle, WA 98195, USA |
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| Abstract: | 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. |
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