Scouring is a complex process dependent on several factors, and local scour is more complex than general scour. This study was an attempt to predict local scour round bridge piers based on general scour in the water stream. Three obstacle shapes were used – circular, round-nosed, and elliptical – as they are predominant in hydraulic structures like bridge piers. For each obstacle shape, scour depth was measured around the periphery for five gradually increasing discharges and in two types of bed material. The local scour results were analyzed to relate them to general scour. Lacey's equation was used to estimate general scour. Models were developed for the three common shapes, by which local scour for any particular shape can be predicted based on general scour in the stream.

  • Correct estimation of local scour depth.

  • Incorporation of shape factor for a better scour depth estimation.

  • Improvement over Lacey's theory.

  • Relating local scour estimation with general scour.

  • Better design and safety of hydraulic structures.

Scour is the removal of soil and rocks from the beds and the banks of streams under the action of flowing water. As water passes around any obstruction in the flow path, scouring occurs. The obstruction, commonly a bridge pier, causes the water to change direction, producing turbulence. This in turn detaches soil particles and becomes suspended in the water stream. The United States Geological Survey (USGS) defines scour as the hole left when sediment is washed from the bottom of a river (Leopold & Maddock 1953). Although scour may occur at any time, scour action is especially strong during floods because swiftly flowing water has more energy than calm water to lift and carry sediment.

The flow of water over an erodible surface, such as the bed of a natural stream or an unlined channel, can cause scouring. This is accelerated if the water channel/stream is constricted by any hydraulic structure component such as a bridge pier. In such a case, the general scouring is accompanied by substantial local scour around the pier, which may prove detrimental to the latter's stability. The extent of scour is greatly affected by the presence of structures encroaching the channel (May et al. 2002; Abdul Aziz 2011). Many studies (Melville 1992; Landers & Mueller 1996; Melville & Coleman 2000; Hong et al. 2012; Akib & Rahman 2013) report that hydraulic structures fail mostly because of scouring around a structural element, most commonly a pier, in the case of bridges, especially during large floods. This highlights the importance of local scour depth estimation to reduce the probability of structural failure. Mohammadpour et al. (2021) conducted experiments to predict local scour around complex abutments and compared the results with complex piers. Inamdeen et al. (2021) studied riverbed scour to focus on the fundamental mechanisms and patterns governing bridge scour; a bathymetric survey was used to map the scour holes downstream on the Ronne River, Sweden to analyze the possible causes of scouring. Local scour is a function of many variables involving flow, channel, and pier/obstacle parameters (Raudkivi & Ettema 1983; Mir et al. 2017, 2018; Link et al. 2020). Channel scouring and its estimation are substantially governed by various phenomena including runoff, sediment transport mechanisms, etc. (Fakhri et al. 2014; MohammadzadeMiyab et al. 2017; Zalaki-Badil et al. 2017).

Lacey's model (1930) estimates general scour, and is extensively used for scour estimation and protection works design in India, with suitable factors. Almost all relevant IS/IRC/RDSO codes recommend this method. Shahriar et al. (2021) investigated five statistical scour estimation models; all based on deterministic approaches, to predict scour depth for clear-water conditions, and compared the results with the measured data base. The models were assessed in terms of uncertainty in predictions and were found satisfactory.

It is likely that the factors affecting general scour also affect local scour, but in addition, the shape of the obstacle may also affect it (Mir et al. 2017). Baghhbadorani et al. (2018) investigated scouring for complex pier shapes that arise when scouring exposes pile caps and piles. Fifty-two tests were conducted on four different complex pier models, in clear-water conditions, to help improve the accuracy of the published HEC-18 equations (Richardson & Davis 2001). Aly & Dougherty (2021) investigated the effect of bridge pier geometry on local scour, and the results indicated how pier geometry could reduce the bed shear stress considerably leading to reduced scour depth around the piers. Thus, there is scope to develop the local scour model, depending on the shape of the obstacle and general scour capacity of a flowing stream. In this study, Lacey's general scour model was used because of its relevance and extensive use. The aim of the study was the physical modeling of local scour for piers of commonly encountered shapes (circular, round-nosed, and elliptical) and to develop the relationships of local and general scour.

Laboratory investigations

Investigations were carried out in a laboratory flume for the three obstacle model shapes – circular, round-nosed, and elliptical. The data were analyzed to determine the relations between the local and corresponding general scour.

Experimental set-up

The experiments were done in a tilting flume 21.5 m long, with a height of 0.6 m and width of 1 m (Figure 1), like that used by Mir et al. (2019). The slope was fixed at 1 in 114 m, as commonly found in valleys. The discharge variations were managed using a regulatory valve at the flume's influent section and the measurements made using a sharp-crested weir at the downstream end. Water levels and scour hole depths were measured with a data logger system attached to the flume.
Figure 1

Experimental set-up.

Figure 1

Experimental set-up.

Close modal

Obstacle models and bed material

As stated earlier, three commonly encountered shapes of the obstacles were used in the present study. These were circular, round-nosed, and elliptical. Wooden models of the three obstacle shapes, whose cross-sections are given in Table 1, were prepared. The obstacles' standard section was taken as 10cm, in accordance with previous studies (Chiew & Melville 1987), which state that the maximum channel obstruction should not exceed 10% of its width to study scouring free from channel side effects.

Table 1

Obstacle shapes used

ShapeDesignationObstacle shapes
Circular S1  
Round-ended S2  
Elliptical S3  
ShapeDesignationObstacle shapes
Circular S1  
Round-ended S2  
Elliptical S3  

Two non-cohesive soils of different gradations were used as bed materials to fill the glass-sided flume, both having varying particle distribution characteristics. Both materials were studied to find their characteristics and determine their effect on local scour depth around the obstructions. Table 2 gives the bed material parameters.

Table 2

Bed material parameters

ParameterSymbolMaterial 1Material 2
Size at 10% passing D10 0.2 0.3 
Size at 30% passing D30 0.39 0.7 
Size at 50% passing D50 0.4 1.5 
Size at 60% passing D60 0.5 1.9 
Coefficient of curvature Cc 1.52 0.86 
Coefficient of uniformity Cu 2.5 6.33 
Silt factor f 1.11 2.15 
ParameterSymbolMaterial 1Material 2
Size at 10% passing D10 0.2 0.3 
Size at 30% passing D30 0.39 0.7 
Size at 50% passing D50 0.4 1.5 
Size at 60% passing D60 0.5 1.9 
Coefficient of curvature Cc 1.52 0.86 
Coefficient of uniformity Cu 2.5 6.33 
Silt factor f 1.11 2.15 

Experimentation

The study was limited to local scour depth in non-cohesive bed material. The bed material was properly compacted and leveled to achieve results approximate to natural conditions. Discharge variation was brought about using a sharp-crested weir downstream end connected to a sensor and gave the head over the crest directly (Equation (1)).
(1)

The scouring along the obstacle model peripheries was noted down for different discharges using a laser meter.

That discharge has the main effects in scouring is already well known and widely reported. In this study, discharges were varied using discharge heads between 0.4 and 4.5 cm, for each obstruction type and both types of bed material. The flow parameters of the study are given in Table 3.

Table 3

Flow parameters of the study

S. No.Head over crest H (cm)Discharge coefficient CdDischarge intensity q (m2/s)
0.4 0.647 0.0008631 
1.4 0.647 0.005237 
2.5 0.647 0.012331 
3.5 0.647 0.020329 
4.5 0.647 0.0296370 
S. No.Head over crest H (cm)Discharge coefficient CdDischarge intensity q (m2/s)
0.4 0.647 0.0008631 
1.4 0.647 0.005237 
2.5 0.647 0.012331 
3.5 0.647 0.020329 
4.5 0.647 0.0296370 

Experimental data

During the experiments, it was clear that scour showed dependence on pier shape. Changes in obstacle shape cause considerable variations in scour depth. The maximum scour depths for each obstacle for different discharges are given in Table 4.

Table 4

Local scour depths for different obstacle shapes (mm)

Discharge QSilt factor fCircular S1Round-nosed S2Elliptical S3
Q1 1.1 4.3 0.3 0.5 
2.2 1.7 1.9 5.9 
Q2 1.1 7.6 3.3 6.0 
2.2 4.1 4.6 7.6 
Q3 1.1 10.9 7.8 12.4 
2.2 5.2 7.6 16.5 
Q4 1.1 16.5 10.0 18.6 
2.2 7.5 17.6 20.5 
Q5 1.1 21.6 14.3 22.7 
2.2 13.5 24.1 29.8 
Discharge QSilt factor fCircular S1Round-nosed S2Elliptical S3
Q1 1.1 4.3 0.3 0.5 
2.2 1.7 1.9 5.9 
Q2 1.1 7.6 3.3 6.0 
2.2 4.1 4.6 7.6 
Q3 1.1 10.9 7.8 12.4 
2.2 5.2 7.6 16.5 
Q4 1.1 16.5 10.0 18.6 
2.2 7.5 17.6 20.5 
Q5 1.1 21.6 14.3 22.7 
2.2 13.5 24.1 29.8 

The circular cross section was found to have the greatest scour, the round-ended the least. The trend was similar at all five discharge flows and with both types of bed material.

It is clear from the literature that the uncertainty in estimating general scour is less than that in local scour. Extensive research has been done on this and the complex nature of local scour is the main reason for this uncertainty. Compared to local scour, general scour is defined much more broadly. Local scour has varied characteristics and is also subject to changes in site conditions; most commonly, the models developed are site-specific. The models for general scour are well established and are not subject to a wide range of variations with changes in the conditions under which they were formulated. So, general scour estimation is an efficient tool for the determination of local scour depth. In this study, local scour depth models were developed for the three pier shapes by relating to general scour. Local scour depths observed against general scour for the three obstacle shapes are given in Figures 2(a)4(b).
Figure 2

(a) Local versus general scour for circular piers (S1). (b) Residuals versus independent plot for S1.

Figure 2

(a) Local versus general scour for circular piers (S1). (b) Residuals versus independent plot for S1.

Close modal
Figure 3

(a) Local versus general scour for round-ended piers (S2). (b) Residuals versus independent plot for S2.

Figure 3

(a) Local versus general scour for round-ended piers (S2). (b) Residuals versus independent plot for S2.

Close modal
Figure 4

(a) Local versus general scour for elliptical piers (S3). (b) Residual versus independent plot for S3.

Figure 4

(a) Local versus general scour for elliptical piers (S3). (b) Residual versus independent plot for S3.

Close modal

The best-fit models for the shapes follow a power trend. The models' statistical results are given in Table 5.

Table 5

Statistical results for the developed models

ShapeCoefficientValueStandard errorR2
S1 0.943 0.506 87 
1.209 0.236 
S2 1.537 1.342 67 
0.991 0.391 
S3 2.941 1.457 81 
0.873 0.224 
ShapeCoefficientValueStandard errorR2
S1 0.943 0.506 87 
1.209 0.236 
S2 1.537 1.342 67 
0.991 0.391 
S3 2.941 1.457 81 
0.873 0.224 

The data indicate a trend between local and general scour. Equations (2)–(4) were developed by analyzing the experimental data for the three shapes used in the study. In the equations, SL stands for local scour, SG for general scour.

Circular
(2)
Round-ended
(3)
Elliptical
(4)

Using these models, the preliminary scour depth can be estimated with respect to the general scour in the channel. This concept is different from the conventional methods used till now. But, further comparison of the models obtained here with the previous studies after adjusting the parameters of the studies accordingly can help in scour prevention and mitigation measures to a great extent. This has been listed as the future recommendation of the present study.

In the study, local scour was found to vary with general scour with a significant coefficient of correlation. The local-general scour relations developed for the three shapes used are different, indicating a definite effect of the obstacle's shape on local scouring.

The above relation is based on limited data and only two different bed materials, but can be used for preliminary estimation of local scour for a proposed obstacle shape that may encounter streamflow. The relations give a better estimate of local scour than multiplying general scour values with some factors, where the shape effect is usually ignored. The conclusions that can be drawn from the study are:

  • General scour can be used effectively to estimate local scour.

  • Local scour models are subject to greater variation with changes in laboratory testing conditions than general local scour models.

  • Local scour depth is affected significantly by the shape of the obstacle encountered.

The authors acknowledge the cooperation of Water Resources Management Centre, NIT Srinagar, India where the experimental work was done.

All relevant data are included in the paper or its Supplementary Information.

The authors declare there is no conflict.

Abdel Aziz
A. A. E.
2011
Minimizing of Scour Downstream Hydraulic Structures
.
MS Thesis
,
Dept. of Civil Engineering, Menoufia University
,
Egypt
.
Akib
S.
&
Rahman
S.
2013
Time development of local scour around semi integral bridge piers and piles in Malaysia
.
World Academy of Science, Engineering and Technology
79
,
2221
2226
.
Aly
A. M.
&
Dougherty
E.
2021
Bridge pier geometry effects on local scour potential: a comparative study
.
Ocean Engineering
234
.
https://doi.org/10.1016/j.oceaneng.2021.109326
.
Baghhbadorani
D. A.
,
Ataie-Ashtiani
B.
,
Beheshti
A.
,
Hadjzaman
M.
&
Jamali
M.
2018
Prediction of current-induced local scour around complex piers: review, revisit, and integration
.
Coastal Engineering
133
,
43
58
.
https://doi.org/10.1016/j.coastaleng.2017.12.006
.
Chiew
Y. M.
&
Melville
B. W.
1987
Local scour around bridge piers
.
Journal of Hydraulic Research
25
(
1
),
15
26
.
Fakhri
M.
,
Dokohaki
H.
,
Eslamian
S.
,
FazeliFarsani
I.
&
Farzaneh
M. R.
,
2014
Flow and sediment transport modeling in rivers
. In:
Handbook of Engineering Hydrology, Ch. 13, Vol. 2: Modeling, Climate Changes and Variability
(
Eslamian
S.
, ed.).
Francis and Taylor, CRC Group
.
USA
, pp.
233
275
.
Hong
J. H.
,
Chiew
Y. M.
,
Lu
J. Y.
,
Lai
J. S.
&
Lin
Y. B.
2012
Houfeng bridge failure in Taiwan
.
Journal of Hydraulic Research, ASCE
138(2)
186
198
.
Inamdeen
F.
,
Larson
M.
,
Thiere
G.
&
Karlsson
C.
2021
Local scour in rivers due to bridges and natural features: a case study from Ronne River, Sweden
.
VATTEN Journal of Water Management and Research
77
(
3
),
143
161
.
Lacey
G.
1930
Stable channels in alluvium. Proceedings of the Institution of Civil Engineers, William Clowes & Sons Ltd., London, UK., 229,259–292
.
Landers
M. N.
&
Mueller
D. S.
1996
Channel Scour at Bridges in the United States
.
FHWA Report
.
Leopold
L. B.
&
Maddock
T.
Jr.
1953
The hydraulic geometry of stream channels and some physiographic implications: U.S. Geological Survey Professional Paper 252, 57 p
.
Link
O.
,
Garcia
M.
,
Pizarro
A.
,
Alcayaga
H.
&
Palma
S.
2020
Local scour and sediment deposition at bridge piers during floods
.
Journal of Hydraulic Engineering
146
(
3
),
04020003
04020011
.
https://doi.org/10.1061/(ASCE)HY.1943-7900.0001696
.
May
R. W. P.
,
Ackers
J. C.
&
Kirby
A. M.
2002
Manual on Scour at Bridges and Other Hydraulic Structures
.
6 Storey's Gate
,
Westminster, London SW1 P 3 AU
.
Melville
B. W.
1992
Local scour at bridge abutments
.
Journal of Hydraulic Engineering
118
(
4
),
615
631
.
Melville
B. W.
&
Coleman
S. E.
2000
Bridge Scour
.
Water Resources Publications, LLC
.
ISBN 1887201181, 9781887201186, Highlands Ranch, CO.
Mir
B. H.
,
Lone
M. A.
&
Bhat
J. A.
2017
Effect of obstacle material type on local scour
.
International Journal of Advanced Structures and Geotechnical Engineering
6
,
114
119
.
Mir
B. H.
,
Lone
M. A.
,
Bhat
J. A.
&
Rather
N. A.
2018
Effect of gradation of bed material on local scour depth
.
Geotechnical and Geological Engineering
36
(
4
),
2505
2516
.
https://doi.org/10.1007/s10706-018-0479-x
.
Mir
B. H.
,
Lone
M. A.
&
Bhat
J. A.
2019
Laboratory investigation for development of local scour depth model for varying shapes of obstruction
.
International Journal of Hydrology Science and Technology
9
(
3
),
303
312
.
Mohammadpour
R.
,
Ghani
A. A.
,
Sabzevari
T.
&
Murshed
M. F.
2021
Local scour around complex abutments
.
ISH Journal of Hydraulic Engineering
27
(
1
),
165
173
.
MohammadzadeMiyab
N.
,
Eslamian
S.
,
Dalezios
N. R.
,
2017
River sediment in low flow condition, Ch. 21
. In:
Handbook of Drought and Water Scarcity, Vol. 2: Environmental Impacts and Analysis of Drought and Water Scarcity
(
Eslamian
S.
&
Eslamian
F.
, eds).
Francis and Taylor, CRC Press
,
USA
, pp.
387
408
.
Raudkivi
A. J.
&
Ettema
R.
1983
Clear water scour at cylindrical piers
.
Journal of Hydraulic Engineering
109
(
3
),
338
350
.
Richardson
E. V.
&
Davis
S. R.
2001
Evaluating Scour at Bridges, 4th Federal Highway Administration. Hydraulic Engineering Circular No. 18, FHWA NHI 01-001
.
Shahriar
A. R.
,
Montoya
B. M.
,
Ortiz
A. C.
&
Gabr
M. A.
2021
Quantifying probability of deceedance estimates of clear water local scour around bridge piers
.
Journal of Hydrology
597
.
https://doi.org/10.1016/j.jhydrol.2021.126177
Zalaki-Badil
N.
,
Eslamian
S.
,
Sayyad
G. A.
,
Hosseini
S. E.
,
Asadilour
M.
,
Ostad-Ali-Askari
K. P.
,
Singh
V.
&
Dehghan
S.
2017
Using SWAT model to determine runoff, sediment yield in maroon dam catchment
.
International Journal of Research Studies in Agricultural Sciences
3
(
12
),
31
41
.
This is an Open Access article distributed under the terms of the Creative Commons Attribution Licence (CC BY-NC-ND 4.0), which permits copying and redistribution for non-commercial purposes with no derivatives, provided the original work is properly cited (http://creativecommons.org/licenses/by-nc-nd/4.0/).