Particle swarm optimization model to predict scour depth around a bridge pier
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RESEARCH ARTICLE
Particle swarm optimization model to predict scour depth around a bridge pier Shahaboddin SHAMSHIRBANDa,b* , Amir MOSAVIc,d,e,f, Timon RABCZUKf a
Department for Management of Science and Technology Development, Ton Duc Thang University, Ho Chi Minh City, Vietnam Faculty of Information Technology, Ton Duc Thang University, Ho Chi Minh City, Vietnam c Institute of Automation, Kando Kalman Faculty of Electrical Engineering, Obuda University, Budapest 1034, Hungary d Department of Mathematics and Informatics, J. Selye University, Komarno 94501, Slovakia e School of the Built Environment, Oxford Brookes University, Oxford OX30BP, UK f Institute of Structural Mechanics, Bauhaus-Universität Weimar, Weimar 99423, Germany b
*
Corresponding author. E-mail: [email protected]
© Higher Education Press 2020
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. KEYWORDS scour depth, bridge design and construction, particle swarm optimization, computational mechanics, artificial intelligence, bridge pier
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Introduction
Scour depth around the pier foundation plays a vital role in the safety and operation of bridges as an element of infrastructures. Due to the complex mechanism of flow around piers, it is challenging to estimate the scour depth appropriately. Sound prediction of scour depth is of great interest for hydraulic and bridge engineers to design a safe structure. Moreover, as the bridge is aging, signs of weakening due to scour depth around piers are expected to be highlighted and even though it can exceed until complete failure. Therefore, the development of predictive models with enough accuracy and reliability should be taken under consideration by engineers. Article history: Received May 7, 2019; Accepted Jun 10, 2019
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