Journal article
Novel Approach to Strength Modeling of Concrete under Triaxial Compression
Journal of materials in civil engineering, v 24(9), pp 1132-1143
01 Sep 2012
Featured in Collection : UN Sustainable Development Goals @ Drexel
Abstract
AbstractIn this study, a robust variant of genetic programming, namely gene expression programming (GEP) was utilized to build a prediction model for the strength of concrete under triaxial compression loading. The proposed model relates the concrete triaxial strength to mix design parameters. A comprehensive database used for building the model was established on the basis of the results of 330 tests on concrete specimens under triaxial compression. To verify the predictability of the GEP model, it was employed to estimate the concrete strength of the specimens that were not included in the modeling process. Further, the model was externally validated using several statistical criteria recommended by researchers. A sensitivity analysis was carried out to determine the contributions of the parameters affecting the concrete strength. The proposed model is effectively capable of evaluating the ultimate strength of concrete under triaxial compression loading. The derived model performs superior when compared with other empirical models found in the literature. The GEP-based design equation can readily be used for predesign purposes or may be used as a fast check on solutions developed by more in-depth deterministic analyses.
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Details
- Title
- Novel Approach to Strength Modeling of Concrete under Triaxial Compression
- Creators
- Amir Hossein Gandomi - University of AkronSaeed Karim Babanajad - University of TehranAmir Hossein Alavi - Iran University of Science and TechnologyYaghoob Farnam - University of Tehran
- Publication Details
- Journal of materials in civil engineering, v 24(9), pp 1132-1143
- Publisher
- American Society of Civil Engineers
- Resource Type
- Journal article
- Language
- English
- Academic Unit
- Civil, Architectural, and Environmental Engineering
- Web of Science ID
- WOS:000311389100002
- Scopus ID
- 2-s2.0-84909991748
- Other Identifier
- 991020836505504721
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InCites Highlights
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- Collaboration types
- Domestic collaboration
- International collaboration
- Web of Science research areas
- Construction & Building Technology
- Engineering, Civil
- Materials Science, Multidisciplinary