Influence of Cohesion on Scour at Piers Founded in Clay–Sand–Gravel Mixtures

Jain, Rajesh Kumar; Lodhi, A. S.; Oliveto, Giuseppe; Pandey, Manish

doi:10.1061/(asce)ir.1943-4774.0001616

Cited by 27 publications

(6 citation statements)

References 43 publications

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“…Seven parameters often introduced in scour formulas were grouped and their impact on scour enhancement or attenuation was investigated by correlation and sensitivity analyses for different soil classes considered in this study. In erodible streams, the scour depth around bridge elements depends considerably on the pile dimensions, the sediment characteristics, and the flow (Choi et al 2017;Jain et al 2021;Annad & Lefkir 2022a). Therefore, the parameters used are part of the three main areas resulting in the scour phenomenon and are summarized as follows;…”

Section: The Proposed Methodology For Formulas' Selectionmentioning

confidence: 99%

Analytic network process for local scour formula ranking with parametric sensitivity analysis and soil class clustering

Annad

Lefkir

2022

Water Supply

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Prediction of scour depth around bridge piers during flood events has been and continues to be regarded as a paramount concern of local scour's researchers, for which many empirical formulas have been proposed. Because of the multiplicity and variability of these formulas, it remains extremely delicate to choose the correct formula among the many available. This study aims to develop a new framework to compare the different formulas currently used for the evaluation of local scour. For this purpose, eighteen (18) distinctly different formulas are selected and then evaluated using a large set of field-measured scour data. The rating is pronounced along three main streambed granulometric distributions. The validation process is performed using the Analytical Network Process approach (ANP), in which the already available conventional weights are re-evaluated and updated using various analyses, notably in terms of statistics, sensitivity, and correlation. The validation and comparison results of these eighteen scour formulas reveal that the efficiency of a given particular formula depends on the type of stream soil studied. Furthermore, the scour formulas including parameters having a geometrical dimension provide better performances.

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Section: The Proposed Methodology For Formulas' Selectionmentioning

confidence: 99%

Analytic network process for local scour formula ranking with parametric sensitivity analysis and soil class clustering

Annad

Lefkir

2022

Water Supply

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“…Dimensional analysis is a convenient tool used for providing the framework of the maximum scour depth with the influencing parameters. The influence of these parameters is difficult to investigate analytically ( Jain et al 2021); therefore, dimensional analysis is utilised. The influencing parameters are classified as fluid, flow, sediment, pier characteristics and duration of the experiment.…”

Section: Dimensional Analysismentioning

confidence: 99%

“…Flow field and local scour around circular bridge piers have been extensively researched computationally and experimentally during the last few decades. Latest and significant research in this category include several previous reports (Khan et al 2017;Qi et al 2019;Nagel et al 2020;Pandey et al 2020a;Bordbar et al 2021;Jain et al 2021;Malik et al 2021). Furthermore, several investigations on a set of piers have been also conducted by researchers, such as the work of Sumner et al (1999) who used flow visualisation, particle image velocimetry (PIV) and hot-film anemometry to explore the flow field for two and three circular cylinders positioned side by side, with the centre-to-centre pitch ratio expanding.…”

Section: Introductionmentioning

confidence: 99%

Estimation of local scour depth around twin piers using gene expression programming (local scour around twin piers)

Devi

Kumar

2022

Water Supply

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The scour around the bridge piers has been estimated using conventional empirical formulae; however, these formulas are unable to predict the scour depth precisely. The present study is conducted in two parts (a) experimental investigation for evaluating the behaviour of local scour around twin piers positioned in the transverse direction of flow and (b) an empirical equation to estimating scour depth is proposed utilising new evolutionary Artificial Intelligence technique Gene Expression Programming (GEP). Experimental results of the present study demonstrate the influence of the rate of flow and clear spacing between the piers on the scour depth. Additionally the results of the soft computing technique GEP during testing and training of proposed modelling, fitness function Root Mean Square Error is observed as 0.00133 and 0.00113, with the coefficient of determination as 0.950 and 0.955, respectively. Furthermore, in order to find out the role of each variable for scour depth sensitivity analysis has been conducted. The findings of the sensitivity analysis show that the pier spacing and rate of flow play the most significant role in scour depth estimation. Results of this study demonstrate good agreement with the proposed GEP model and conclude that it is a better approach for forecasting scour depth.

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“…Published data showed that bridge element scour was responsible for 50% of the bridge failures. In 1993, around 20 bridges were failed due to bridge element scour resulting from flowing water and waves that caused damage of approximately $20 million in coastal regions (Jain et al, 2021; Singh et al, 2020). Pandey, Valyrakis, et al (2021) reported that a bridge near Belgaon (Orissa), India, was washed by unpredictable scour around the pier.…”

Section: Introductionmentioning

confidence: 99%

Reduction of scour around circular piers using collars

Pandey

Pourshahbaz

et al. 2022

J Flood Risk Management

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River dynamics and sediment transport play an important role in river bed morphology. Building a bridge pier along the river alters the cross-section of the river and causes the change in flow processes. These changes are mainly responsible for pier scour. In this paper, the usage of collars to reduce scour around circular piers has been investigated. The collars with different diameters and depth positions have been studied using previous data and additional data collected in the present study to assess their effectiveness in reducing scour. Using a wide range of measured data, an empirical equation to compute the maximum scour depth around the circular piers in the presence of collars has been proposed. The proposed equation has been validated and proven to be applicable to a wide range of pier layouts. It has been found that the maximum efficiency can be achieved by fixing the collar at bed level and adopting a collar diameter 1.5-2.5 times of pier diameter.

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Influence of Cohesion on Scour at Piers Founded in Clay–Sand–Gravel Mixtures

Cited by 27 publications

References 43 publications

Analytic network process for local scour formula ranking with parametric sensitivity analysis and soil class clustering

Analytic network process for local scour formula ranking with parametric sensitivity analysis and soil class clustering

Estimation of local scour depth around twin piers using gene expression programming (local scour around twin piers)

Reduction of scour around circular piers using collars

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