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Neural Networks Application in Pavement Infrastructure Materials

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Intelligent and Soft Computing in Infrastructure Systems Engineering

Part of the book series: Studies in Computational Intelligence ((SCI,volume 259))

Abstract

Interest on artificial neural networks (ANN) in infrastructure materials research and practice has increased in recent years. This chapter presents a review of ANN applications in characterization of infrastructure materials focusing on portland cement concrete (PCC) and asphalt concrete (AC) materials. The principles of ANN are briefly introduced and summarized. The strengths and limitations of ANN for modeling behavior of infrastructure materials are discussed. Various applications of the ANN approach in infrastructure materials testing, analysis and design problems are discussed.

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Authors and Affiliations

  1. Iowa State University, Ames, IA, 50011, USA

    Sunghwan Kim, Kasthurirangan Gopalakrishnan & Halil Ceylan

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  1. Sunghwan Kim
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  2. Kasthurirangan Gopalakrishnan
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  3. Halil Ceylan
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Editors and Affiliations

  1. Dept. of Civil, Constr. & Env. Engg., Iowa State University, 354 Town Engineering Bldg., 50011-3232, Ames, IA, USA

    Kasthurirangan Gopalakrishnan

  2. Dept. of Civil, Constr. & Env. Engg., Iowa State University, 482B Town Engineering Bldg., 50011-3232, Ames, IA, USA

    Halil Ceylan

  3. Dept. of Civil and Environmental Engineering, University of Delaware, 343B DuPont Hall, DE 19716, Newark, USA

    Nii O. Attoh-Okine

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Kim, S., Gopalakrishnan, K., Ceylan, H. (2009). Neural Networks Application in Pavement Infrastructure Materials. In: Gopalakrishnan, K., Ceylan, H., Attoh-Okine, N.O. (eds) Intelligent and Soft Computing in Infrastructure Systems Engineering. Studies in Computational Intelligence, vol 259. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-04586-8_3

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  • DOI: https://doi.org/10.1007/978-3-642-04586-8_3

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