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Asphalt concrete stability estimation from non-destructive test methods with artificial neural networks

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Abstract

The core drilling method has often been used to determine the current status of asphalt concretes. However, this method is destructive so causes damage to the asphalt concretes. In addition, this method causes localized points of weakness in the asphalt concretes and is time consuming. In recent years, non-destructive testing methods have been used for pavement thickness estimation, determination of elasticity modulus, and density and moisture measurements. In this study, the above-mentioned non-destructive and destructive tests with data obtained by applying the Marshall stability to the same asphalt concretes were estimated using the artificial neural networks approach.

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Acknowledgments

This work is based on the results of Project TUBITAK 108M053, the Development of Real-Time Pavement Management System with Geographic Information Systems is sponsored by The Scientific and Technological Research Council of Turkey (TÜBİTAK).

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Authors and Affiliations

  1. Construction Education Department, Faculty of Technical Education, Suleyman Demirel University, 32260, Isparta, Turkey

    Serdal Terzi & İsmail Uzun

  2. Civil Engineering Department, Faculty of Engineering, İstanbul University, 34320, Avcılar İstanbul, Turkey

    Mustafa Karaşahin

  3. Graduate School of Natural and Applied Sciences, Suleyman Demirel University, 32260, Isparta, Turkey

    Süleyman Gökova & Mustafa Tahta

  4. Manufacturing Engineering Department, Faculty of Technology, Suleyman Demirel University, 32260, Isparta, Turkey

    Nihat Morova

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  1. Serdal Terzi
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  2. Mustafa Karaşahin
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  3. Süleyman Gökova
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  4. Mustafa Tahta
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  5. Nihat Morova
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  6. İsmail Uzun
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Correspondence to Serdal Terzi.

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Terzi, S., Karaşahin, M., Gökova, S. et al. Asphalt concrete stability estimation from non-destructive test methods with artificial neural networks. Neural Comput & Applic 23, 989–997 (2013). https://doi.org/10.1007/s00521-012-1023-1

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  • DOI: https://doi.org/10.1007/s00521-012-1023-1

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