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Particle swarm optimization model to predict scour depth around a bridge pier

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Abstract

Scour depth around bridge piers plays a vital role in the safety and stability of the bridges. The former approaches used in the prediction of scour depth are based on regression models or black box models in which the first one lacks enough accuracy while the later one does not provide a clear mathematical expression to easily employ it for other situations or cases. Therefore, this paper aims to develop new equations using particle swarm optimization as a metaheuristic approach to predict scour depth around bridge piers. To improve the efficiency of the proposed model, individual equations are derived for laboratory and field data. Moreover, sensitivity analysis is conducted to achieve the most effective parameters in the estimation of scour depth for both experimental and filed data sets. Comparing the results of the proposed model with those of existing regression-based equations reveal the superiority of the proposed method in terms of accuracy and uncertainty. Moreover, the ratio of pier width to flow depth and ratio of d50 (mean particle diameter) to flow depth for the laboratory and field data were recognized as the most effective parameters, respectively. The derived equations can be used as a suitable proxy to estimate scour depth in both experimental and prototype scales.

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Acknowledgements

This research was supported by the Hungarian State and the European Union under the EFOP-3.6.1-16-2016-00010 project and the 2017-1.3.1-VKE-2017-00025 project.

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Authors and Affiliations

  1. Department for Management of Science and Technology Development, Ton Duc Thang University, Ho Chi Minh City, Vietnam

    Shahaboddin Shamshirband

  2. Faculty of Information Technology, Ton Duc Thang University, Ho Chi Minh City, Vietnam

    Shahaboddin Shamshirband

  3. Institute of Automation, Kando Kalman Faculty of Electrical Engineering, Obuda University, Budapest, 1034, Hungary

    Amir Mosavi

  4. Department of Mathematics and Informatics, J. Selye University, Komarno, 94501, Slovakia

    Amir Mosavi

  5. School of the Built Environment, Oxford Brookes University, Oxford, OX30BP, UK

    Amir Mosavi

  6. Institute of Structural Mechanics, Bauhaus-Universität Weimar, Weimar, 99423, Germany

    Amir Mosavi & Timon Rabczuk

Authors
  1. Shahaboddin Shamshirband
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  2. Amir Mosavi
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  3. Timon Rabczuk
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Correspondence to Shahaboddin Shamshirband.

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Shamshirband, S., Mosavi, A. & Rabczuk, T. Particle swarm optimization model to predict scour depth around a bridge pier. Front. Struct. Civ. Eng. 14, 855–866 (2020). https://doi.org/10.1007/s11709-020-0619-2

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  • DOI: https://doi.org/10.1007/s11709-020-0619-2

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