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Backcalculation of Flexible Pavements Using Soft Computing

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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

Analysis of the mechanical properties of existing road pavements is crucial for pavement rehabilitation and management problems. Numerous studies have focused on developing an efficient method for determining the structural conditions of pavements. Non-destructive testing (NDT) methods can characterize stress-strain behavior of pavement layers at relatively low strain levels. However, the majority of NDT techniques are based on measuring the deflections caused by an applied load to determine the stress-strain behavior. Structural analysis techniques can also calculate deflections using material and loading properties where it is commonly necessary to make an inversion between measured deflections and mechanical properties using a back-calculation tool. Soft computing techniques, i.e. neural networks, fuzzy logic, genetic algorithms, and hybrid systems, have successfully been used to perform efficient and precise back-calculation analyses. This chapter explains the advances in pavement back-calculation methodologies based on soft computing approaches by presenting the concepts behind them and the fundamental advantages of each. An alternative utilization of soft computing techniques for pavement engineering is also presented.

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Authors and Affiliations

  1. Professor, Department of Civil Engineering, Istanbul Technical University, 34469, Ayazaga, Istanbul

    A. Hilmi Lav

  2. Project Coordinator, Egemen Construction Co., 06550, Ankara, Turkey

    A. Burak Goktepe

  3. Associate Professor, Department of Civil Engineering, Istanbul Technical University, 34469, Ayazaga, Istanbul

    M. Aysen Lav

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  1. A. Hilmi Lav
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  2. A. Burak Goktepe
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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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Lav, A.H., Goktepe, A.B., Lav, M.A. (2009). Backcalculation of Flexible Pavements Using Soft Computing. 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_4

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