Influence of Cumulative Effective Stream Power on Scour Depth Prediction Around Bridge Piers in Cohesive Bed Sediments

Author:

Mahalder Badal1ORCID,Schwartz John S.2ORCID,Palomino Angelica M.2ORCID,Zirkle Jon3

Affiliation:

1. Department of Water Resources Engineering, Bangladesh University of Engineering and Technology, Dhaka, Bangladesh

2. Department of Civil and Environmental Engineering, The University of Tennessee, Knoxville, TN

3. Tennessee Department of Transportation, Nashville, TN

Abstract

Streambed scour in cohesive sediment is complex because erosion processes depend on the physical, geochemical, and biological properties of the sediment. The scouring processes can also be characterized as a slow fatigue phenomenon. Therefore, repetitive hydraulic loadings from multiple stormflow events are likely necessary for equilibrium scour depths to develop in cohesive sediment compared with non-cohesive sediment. Cumulative effective stream power, which is a surrogate measure of effective stream power duration, showed a significant relation with scour development and propagation in cohesive sediments around bridge piers, where results from this study identified a statistically significant correlation between cumulative effective stream power and the observed scour depths around different bridge piers ( R2 = 0.56, p < 0.001). However, some localized and site-specific variations were observed. It was also observed that scour depth development in cohesive soil appeared to be dependent on effective shear duration, rather than the number of flow events above erosion threshold values. In addition, the relationship between an erodibility index ( K) and critical stream power showed a significant statistical correlation ( R2 = 0.61, p = 0.017). Results from this study deviated from the Annandale empirical relationship for sediments when K < 0.1. This finding supports that site-specific critical stream power should be measured using an empirical relationship for cohesive bed sediments to predict scour depths.

Funder

Tennessee Department of Transportation

Publisher

SAGE Publications

Reference59 articles.

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2. Bridge Failure Rate

3. Federal Highway Administration (FHWA). National Bridge Inventory. USA, 2019. http://www.fhwa.dot.gov/bridge/nbi/ascii.cfm. Accessed May 22, 2020.

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