Numerical modeling of concrete strength under multiaxial confinement pressures using linear genetic programming

Abstract New numerical models are developed to predict the strength of concrete under multiaxial compression using linear genetic programming (LGP). The models are established based on a comprehensive database obtained from the literature. To verify the applicability of the derived models, they are employed to estimate the strength of parts of the test results that are not included in the modeling process. The external validation of the model is further verified using several statistical criteria. The results obtained by the proposed models are much better than those provided by several models found in the literature. The LGP-based equations are remarkably straightforward and useful for pre-design applications.

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