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Application of Genetic Programming for Uniaxial and Multiaxial Modeling of Concrete

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Abstract

In current chapter, an overview of recently established genetic programming based techniques for strength modeling of concrete has been presented. The comprehensive uniaxial and multiaxial strengths modeling of hardened concrete have been concentrated in this chapter as one of the main area of interests in concrete modeling for structural engineers. For this engineering case the literature has been reviewed and the most applied numerical/analytical/experimental models and national building codes have been introduced. After reviewing the artificial intelligence/machine learning based models, genetic programming based models are presented, with accent on the applicability and efficiency of each model and its suitability. The advantages and weaknesses of the aforementioned models are summarized and compared with existing numerical/analytical/experimental models and national building codes, and a few illustrative examples briefly are presented. The genetic programming based techniques are remarkably straightforward and have enabled reliable, stable, and robust tools for pre-design and design applications.

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Acknowledgment

The author would like to appreciate Dr. Amir H. Gandomi, The University of Akron, for his great assistance throughout the preparation of the current book chapter.

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  1. Department of Civil and Materials Engineering, College of Engineering, University of Illinois at Chicago, Chicago, IL, USA

    Saeed K. Babanajad

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  1. Saeed K. Babanajad
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Editors and Affiliations

  1. BEACON Center for the Study of Evolution in Action, Michigan State University, East Lansing, Michigan, USA

    Amir H. Gandomi

  2. Department of Civil & Environmental Engineering, Michigan State University, East Lansing, Michigan, USA

    Amir H. Alavi

  3. Department of Computer Science and Information Systems, University of Limerick, Limerick, Limerick, Ireland

    Conor Ryan

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Notation

Notation

\( {f}{'}_{{c}}=\mathrm{Compressive}\ \mathrm{Strength}\)

\( {f}{'}_{{t}}=\mathrm{Tensile}\ \mathrm{Strength} \)

\( {\upsigma}_1,\ {\upsigma}_2,{\upsigma}_3=\mathrm{Compressive}\ \mathrm{Strength} \)

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Babanajad, S.K. (2015). Application of Genetic Programming for Uniaxial and Multiaxial Modeling of Concrete. In: Gandomi, A., Alavi, A., Ryan, C. (eds) Handbook of Genetic Programming Applications. Springer, Cham. https://doi.org/10.1007/978-3-319-20883-1_16

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