The Journal of Engineering Research (TJER), Vol. 15, No. 2 (2018) 114-123 

 

                                                                                                                     
 

                                                                                                                  DOI: 10.24200/tjer.vol15iss2p114-123 
 

Evaluation of Actual Creep Length Under Heading up 
Structures Aprons 

M.A. El Mollaa, N.Y. Saadb,*, and G.S. Ezizahb 
 

a Civil Engineering Department, Higher Technological Institute, Cairo, Egypt. 
b Irrigation and Hydraulics Department, Faculty of Engineering, Ain Shams University, Cairo, Egypt. 

 
Received 13 January 2016; Accepted 26 November 2017 

 
Abstract : In this paper a 2D finite element model (SEEP2D) is implemented to study the actual head 
loss along the sheet piles fixed at the ends of an apron of a heading up structure. Different scenarios 
for the thickness of the pervious layer under the apron, the length of the apron and the depths of the 
upstream and downstream sheet piles are studied.  Results show that assuming the outer and inner 
faces of the sheet piles have the same weight for estimating the creep length while designing aprons 
of hydraulic structures is weak. Design equations for the actual head loss along the outer and inner 
faces for both the upstream and downstream sheet piles are driven. These equations can be used as a 
tool in the practical design for aprons of heading up structures formed on pervious soil and provided 
with upstream and downstream sheet piles at its ends. 

Keywords:  SEEP2D; Seepage; Heading-up structures; Sheet piles; Creep length. 
 

 اهلياكل فوق مئزرتقييم طول الزحف الفعلي 

 ب، غادة س عزيزة  ب،*يوسف سعد .نيفني ،أحممد علي املوىل 

 
لدراسة الفقدان الفعلي للقمة  (SEEP2D) احملدود الطبقة التحتيةيتم تطبيق منوذج لعنصر البحثية،يف هذه الورقة  :امللخص

سيناريوهات خمتلفة لسمك الطبقة  دراسة ويتمالعلوية  اهلياكلاملتواجدة على طول أكوام االطبقات املثبتة يف نهايات مئزر 

النتائج أن االفرتاض بأن  روتظه .والسفليةوطول املئزر وكذلك أعماق أكوام الطبقات العلوية  املئزر،القابلة لالخرتاق حتت 

طول الزحف املقدر عندما يكون تصميم مآزر اهلياكل  نفس وزناألوجه اخلارجية والداخلية ألكوام الطبقات هلا 

للقمة على طول األوجه اخلارجية والداخلية  للخسارة الفعليةويتم عمل معادالت التصميم  .ضعيفهو إفرتاض اهليدروليكية 

هذه املعادالت كأداة يف التصميم العملي ملآزر ترتكز على  ستخداما والسفلية. وميكنلكل من أكوام الطبقات العلوية 

 .نهاياتها العلوية والسفلية يفومزودة بأكوام من الطبقات  لالخرتاق،هياكل متكونة على تربة قابلة 

 .طول الزحف ،مرتاكمةطبقات  ،هياكل علوية ،تسرب :الكلمات املفتاحية

 

 

 

 

 

 

 
* Corresponding author’s email: neveen_yousif@hotmail.com  

mailto:neveen_yousif@hotmail.com


M.A. El Molla, N.Y. Saad, and G.S. Ezizah 

 

115 

 

Notations 

 

The following symbols are used in this paper. 

 
d1   Depth of upstream sheet pile (L);  

d2    Depth of downstream sheet pile (L); 

hO1    Head lost along the outer face of upstream sheet pile (L); 

hO2   Head lost along the outer face of downstream sheet pile (L); 

hI1   Head lost along the inner face of upstream sheet pile (L); 

hI2   Head lost along the inner face of downstream sheet pile (L); 

g    Gravitational acceleration  (L/T2); 

H    Head difference between upstream and downstream the apron  (L); 

K  Hydraulic conductivity of the homogeneous pervious stratum (L/T); 

L    Horizontal distance between the upstream and downstream sheet  

   Piles  (L); 

P1   Head at point (1)  (L); 

P2   Head at point (2)  (L); 

P3   Head at point (3)  (L); 

P4   Head at point (4)  (L); 

P5   Head at point (5)  (L); 

P6   Head at point (6)  (L); 

T   Thickness of pervious stratum under the apron  (L); 

ρ    Density of seeping water (M/L3); 

 

 



Evaluation of Actual Creep Length Under Heading up Structures Aprons 

 

116 

 

 
1.  Introduction 
 
Seepage is one of the most important factors 
that affects the stability of a heading-up 
structure. Using sheet piles under the aprons of 
heading-up structures increases the percolation 
length, decreases the hydraulic gradient, and 
hence provides more safety against piping and 
uplift under the apron of a structure.  Figure (1) 
represents the concept of creep length and 
hydraulic gradient diagram.  
     Numerical methods (Finite Element, Finite 
Difference, Boundary Element and Total 
Variation Diminishing Method ) can be used to 
solve seepage problems with different degrees of 
complexities and accuracies  Harr (1962); Serge 
Leliavsky (1965); U.S. Army Corps of Engineers 
(1986).  Ahmed and Ellboudy (2010) carried out 
a number of numerical analysis to study the 
influence of different sheet pile configurations 
on the seepage losses, the uplift force on the 
apron, and the exit gradient at the end of the 
apron. They concluded that driving a sheet pile 
under a hydraulic structure that surrounds the 
downstream floor apron from all sides, has 
greatly reduced the exit gradient at the end toe 
of the floor.  However, this was accompanied 
with some increase in the uplift force. Ahmed 
(2011) studied different sheet piles 
configurations and flow through canal banks. 
Kamble et al. (2014) described the potential of 
different approaches such as geological and 
geotechnical methods, dam instrumentation, 
geophysical methods, tracer techniques, nuclear 
logging and mathematical modeling for 
monitoring, detecting and analyzing seepage in 
hydraulic structures. 
     Three dimensional modeling techniques (3D) 
have recently been attempted to study seepage 
beneath and around hydraulic structures for 
different purposes.  Eftekhar and Barani (2013) 
used SEEP3D to pinpoint the best locations of 
cutoff walls. They revealed that a cutoff wall 
installed at the lower toe of the structure 
eliminates piping and the one located at the 
upper toe reduces the uplift pressure. Guerra et 
al. (2012) suggested that complex junctions in 
levee systems (i.e. 90 degrees bend in the levee 
alignment as well as a box culvert through the 
levee) should be studied using 3D models. 
Koltuk and Iyisan (2013) compared between the 
2D and 3D modeling techniques in studying a 
rectangular shaped cofferdam taking into 
account the vertical  anisotropy of the  permea- 

 
 
 
bility of soil layers. He concluded that the 
difference between the values obtained from 2D 
and 3D analysis decreased with increasing the 
length to width ratio of the cofferdam. Gad et al. 
(2016) conclude that 3D simulations are 
essential in studying seepage under large dams 
especially in complicated 3D configurations and 
lateral heterogeneity.  
     El Tahan and ElMolla (2013) used the electric 
analogue method to investigate models of 
hydraulic structures' aprons provided with two 
equal cutoffs. They investigated the efficiency of 
both faces (outer and inner) of these cutoffs. 
They concluded that the estimation of the 
percolation length under the hydraulic structure 
must consider a weighted length factor for 
various faces of the cut-offs.   
     SEEP2D is a finite element program that has 
been applied in many researches to study 
seepage and has proved to be an efficient tool 
for seepage analysis (Ozkan 2003; Noori and 
Ismaeel 2011; Anas 2012; Aboulatta et al. 2014). 
ElMolla (2001) used SEEP2D to investigate 
seepage under the aprons of heading up 
structures provided with a single cut-off.  
     In this paper, SEEP2D is used to investigate 
the actual head loss along the sheet piles fixed at 
the ends of an apron of a heading up structure 
formed on a pervious soil. Equations of the 
relation between head loss along both faces 
(outer and inner) of upstream (U.S.) and 
downstream (D.S.) sheet piles and the involved 
variables will be driven to be used in creep 
length designing purpose which, to the best of 
the authors’ knowledge, has not been covered in 
the literature yet. 
 
 

 
Figure 1. Line of creep and hydraulic gradient 

diagram (after Serge Leliavsky, 1965). 
 



M.A. El Molla, N.Y. Saad, and G.S. Ezizah 

 

117 

     In this study sensitivity analysis for the 
variables involved in the problem as well as 
different scenarios for the thickness of pervious 
layer under the apron, the length of the apron, 
the depths of the upstream and downstream 
sheet piles, and the hydraulic conductivity are 
studied.  

 
2.  Dimensional Analysis 
 
In the present study, all the variables involved 
in the problem can be expressed as (Refer to Fig. 
(2)): 
 

F (H, d1,d2,L,T,k,r,g,P1,P2,P3,P4, P5,P6 = 0          (1) 

where: H = Head difference between upstream 
and downstream the apron;   d1 & d2 = depth of 
upstream and downstream sheet pile 
respectively; L = Horizontal distance between 
the upstream and downstream sheet piles; T = 
Thickness of pervious stratum under the apron;  
K= Hydraulic conductivity of the homogeneous 
pervious stratum under the apron; ρ= Density 
of seeping water;  g = Gravitational acceleration;   
P1, P2, P3, P4, P5, P6 = Head at points(1,2,3,4,5,6). 
     Applying Buckingham's π Theorem, the 
relationship between the above different 
variables can be presented as follow: 
 

0)
h

h
,

h

h
,

H*g

k
,

d

T
,

T

L
,

d

d
(

2I

2O

1I

1O

22

1          (2) 

where 

32

21

1

1

PP

PP

h

h

I

O




              (3) 

and 

54

65

2

2

PP

PP

h

h

I

O




              (4) 

hO1/ hI1 = the ratio between the head loss along 
the outer face and the inner face of the U.S sheet 
pile, and hO2/hI2 = the ratio between the head 
loss along the outer face and the inner face of 
the D.S sheet pile. 
 

3.  Description of the Model 

The SEEP2D software was developed by the 
United States Army Engineer Waterways 
Experiment Station to model a variety of 
problems involving seepage. The governing 
equation used in this model is the Laplace 
equation. Laplace equation is the governing 
differential equation for two dimensional, 
steady state incompressible, isotropic flow in 
the xy plane which is 

0
y

h

x

h
2

2

2

2










            (5) 

where h is the head at any point in the flow 
domain.  
 
     Transient or time varying problems and 
unconfined plan view (aerial ) models cannot be 
modelled using SEEP2D. SEEP2D allows for 
different hydraulic conductivities along the 
major and minor axes (anisoropic conditions) to 
be defined. Heterogeneous models can be 
created by specifying different values of 
hydraulic conductivity for the elements 
representing the different layers or regions. 
Post-processing includes contouring of the total 
head (equipotential lines), drawing flow vectors, 
and computing flow potential values at the 
nodes. These values can be used to plot flow 
lines together with the equipotential lines (i.e. 
flow nets). The phreatic surface can also be 
displayed (SEEP2D Primer 1998).

                   
Figure 2.  The variables involved in the problem. 



Evaluation of Actual Creep Length Under Heading up Structures Aprons 

 

118 

 

     In a typical modelling problem involving the 
SEEP2D software, a series of tasks are 
performed in a specific sequence as follows: 1. 
Mesh generation 2. Setting boundary 
conditions; 3. SEEP2D execution; and 4. Post-
processing the output.  

4.  Model Application 

The dimensions for different variables as 
recommended from a previous study Ezizah et 
al. (2000) are as follows: 

d1 = (0.2 to 0.6)*L, d2/d1 = (0.7 to 0.2) , H/L = 
(1/2, 1/3, 1/6, 1/8) , d1/T = (0.1 to 0.5) or   T= 
1.5L. 

     The model consists of a heading up structure 
formed on a pervious homogeneous isotropic 
soil layer with thickness T (T=15, 22.5,30, 60 m). 
Two values of head difference (H) between U.S 
and D.S the structure are considered (H=3, 7 m). 
The apron of the structure is of length L (L=10, 
15, 20 m) and provided with two sheet piles at 
its ends driven to depths d1 and d2, where d1 is 
the depth of the U.S sheet pile (d1= 3,4,5,6 m) 

and d2 is the depth of the D.S sheet pile (d2=1.5, 
2.5 m).  
     Figure (3) shows a finite element mesh used 
for one of the simulations.  Figure (4) shows a 
Sample of flow net obtained from SEEP2D 
(SEEP2D output). 
 

4.1 Boundary Conditions 
     All external edges of the problem were 
modelled as impermeable boundaries including 
the upstream and downstream edges and the 
bottom of the problem. The apron of the 
hydraulic structure was also modelled as 
impermeable boundary. All upstream nodes of 
the structure in the canal bed were allocated a 
prescribed head (H) (H=3 or 7 m). Nodes in the 
canal bed downstream of the structure were 
assigned a prescribed head value of zero. 
 

4.2 Calibration and Verification of the 
Model 

     Experimental readings of a previous study El 
Tahan and ElMolla (2013) were used to calibrate 
the model to choose a reasonable cell size and 
check that the input data were entering 
correctly.   Three different mesh cell sizes  were 
 

 
Figure 3.  Sample of SEEP2D mesh. 

 
 

Figure 4. Sample of flow net obtained from SEEP2D (SEEP2D output). 



M.A. El Molla, N.Y. Saad, and G.S. Ezizah 

 

119 

 

used in order to calibrate the model in an 
attempt to match the experimental data. Then 
Mesh would be generated as smaller mesh cell 
sizes were chosen around and between the two 
sheet piles in order to accurately show the 
changes in head when using sheet piles. The 
experimental study includes two equal sheet 
piles under the apron of the heading up 
structure. 
     Two values of H were used H= 3, 6 m, L was 
taken 15 and 20m while d1 and d2 were taken 
5m.  
     Figure (5) illustrates a sample of the model 
calibration using the chosen best cell size, which 
represents the head readings at points P1 to P6. 
It is obvious that there is a good matching 
between the experimental readings and the 
numerical model. 
     Using the calibrated mesh size, the model is 
verified by another set of electric analogue 
experimental readings (AboulAtta et al. 2010). 
The length of apron L= 19m, the depth of the 
U.S and D.S sheet pile d1= 5m, d2= 2.5m. Two 
values for H (3, 7.5m) were used. Figure (6) 

illustrates a sample of the model verification, 
which represents the head readings at points P1 
to P6. It is obvious that there is a good matching 
between the experimental readings and the 
numerical model. 
 

4.3  Sensitivity Analysis 
     Sensitivity analysis was carried out in order 
to find the most effective parameters for 
different variables. From the sensitivity analysis 
it is noticed that the variables which have the 
biggest effect on the head loss ratio along the 
upstream sheet pile are the thickness of 
pervious soil layer under the apron (T) and the 
depth of U.S sheet pile (d1). 
     For the D.S sheet pile, it is noticed that the 
thickness of pervious soil layer under the apron 
(T) and the depth of downstream sheet pile (d2) 
have the biggest effect on the results. Moreover, 
the head difference H and the hydraulic 
conductivity K have negligible effect on the 
ratio of the head lost along the faces for the both 
sheet piles. 
 

 
Figure 5.  Sample of model calibration H= 6m, L= 20m, d1 & d2= 5m. 

 

Figure 6.  Sample of model verification H= 7.5 m, L= 19 m, d1 = 5m, d2= 2.5m. 



Evaluation of Actual Creep Length Under Heading up Structures Aprons 

 

120 

 

     Figures (7) and (8) show the effect of each 
variable on the ratio between the head loss 
along the outer face and the inner face of U.S 
and D.S sheet piles respectively (hO/ hI). 

5.  Results Analysis 

The readings obtained from SEEP 2D are 
investigated and analyzed in order to determine 
the effect of changing the length of apron, the 
thickness of soil layer and the depths of 
upstream and downstream sheet piles on the 
ratio between the head loss along the outer and 
the inner faces for both the upstream and 
downstream sheet piles. 
      Plotting the head loss ratio along the outer 
face and the inner face for the U.S sheet pile 
((hO1/ hI1) against the depths ratio of U.S and the 

D.S sheet pile (d1/d2) for different values of 
(T/d2) is shown   in  Fig. (9).   It  is  noticed  that  
(hO1/ hI1) decreases with the increase of the ratio 
between (d1/d2) for all (T/d2) values. So, the 
efficiency of the inner face of the U.S sheet pile 
improves by 8-16% with increasing the ratio 
d1/d2. Also, it is obvious that the ratio of (T/d2) 
is directly proportional to (hO1/ hI1). That means 
the efficiency of the inner face of U.S sheet pile 
improves by decreasing the values of T/d2. 
Moreover, changing T/d2 affects hO1/ hI1 values 
for bigger values of d1/d2 than smaller ones. 
    From Fig. 9, it was found that the best relation 
between (hO1/hI1) and (d1/d2) is given by linear 
equation with correlation equal R (R measures 
the strength of the relationship between 
variables): 

 

 

Figure 7.  Effect of each variable on the ratio (hO1/hI1). 

 
Figure 8.  Effect of each variable on the ratio (hO2/hI2). 



M.A. El Molla, N.Y. Saad, and G.S. Ezizah 

 

121 

 

2

1

1

1

d

d
ba

h

h

I

O
            (6) 

 
where a, b are coefficients depending on T/d2.  
The value of a and b are given in the Table 1. 
     So, the general empirical head loss equation 
along the U.S. sheet pile could be presented as 
follows: 

2

1

2

2

1

21I

1O

d

d
184.0

d

T
006.0

d

d

d

T
005.018.2

h

h





           (7) 

     Plotting the ratio of the head loss along the 
outer and the inner face for the D.S. sheet pile 
((hO2/ hI2) against the depths ratio of U.S. and 
the D.S. sheet pile (d1/d2) for different values of 
(L/T) is shown in (Fig. 10). It is noticed that 
((hO2/ hI2) decreases with the decrease of (d1/d2) 
for all values of (L/T). That means the efficiency 
of the inner face of the D.S. sheet pile improves 
by 1-3% with decreasing the ratio (d1/d2). 
Moreover, comparing the hO2/ hI2 values at the 
same depth ratio values, we can conclude that as 
(L/T) values increase the ((hO2/ hI2) values 
decrease by 2-4%. 
     From Fig. 10, it was found that the best 
relation between (hO2/hI2) and (d1/d2) is given 
by linear equation with correlation equal R. 

 
 
Figure 9.  Design chart for the ratio between the head lost along the outer and the inner faces of U.S 

sheet pile. 
 

              

Figure 10.  Design chart for the ratio between the head lost along the outer and the inner faces of D.S 
sheet pile. 

Table 1.  The value of a and b constants. 

T/d2 6 9 10 12 15 20 

a -0.16 -0.14 -0.13 -0.1 -0.11 -0.09 

b 2.2 2.26 2.24 2.24 2.3 2.28 

R 0.92 0.96 0.97 0.99 0.96 0.98 



Evaluation of Actual Creep Length Under Heading up Structures Aprons 

 

122 

 

2

1

2

2

d

d
ec

h

h

I

O
            (8) 

where c, e are coefficients depending on L/T. 
     The value of c and e are given in the Table 
(2). So, the general empirical head loss equation 
along the D.S sheet pile could be presented as 
follows: 
 

2

1

2

1

2I

2O

d

d
016.0

T

L
181.0

d

d

T

L
027.0251.2

h

h





           (9) 

 

     For the studied variables range, the ratio 
(hO1/ hI1) for the upstream sheet pile ranges 
from 1.55 to 2.15, and the ratio (hO2/hI2) for the 
downstream sheet pile ranges from 2.08 to 2.3. 
  

6.  Conclusion 

SEEP2D is implemented to study the actual 
head loss along the sheet piles fixed at the ends 
of an apron of a heading up structure. The 
following main conclusions may be drawn: 

 For the U.S. sheet pile, the variables, 
which have the biggest effect on the 
head loss ratio along both of its faces, 
are the thickness of pervious soil layer 
(T) and the depth of U.S. sheet pile (d1). 

 For the D.S. sheet pile, the thickness of 
pervious soil layer (T), the apron length 
(L) and the depth of D.S. sheet pile (d2) 
have the biggest effect on the head loss 
ratio. 

 The outer and inner faces of the sheet 
piles do not have the same weight for 
estimating the creep length. Actually, 
the creep length along the inner face of 
the U.S. pile is about 55% of its 
supposed value and for the D.S. pile is 
about 45% of its supposed value for 
most of the tests ranges. 

 Increasing the sheet pile depth ratio 
(d1/d2=4) improves the efficiency of the 
inner face of the U.S. sheet pile by 8-
16%. 

 The improvement of the D.S. sheet pile 
efficiency by decreasing d1/d2 or 
increasing L/T is small. So, it is better to 
increase the sheet pile depth ratio to 
improve the efficiency of the U.S. sheet 
pile, although it undermines the 
downstream sheet pile efficiency by 
small amount. 

 Design equations for the actual head 
loss along the outer and inner faces for 
both the upstream and downstream 
sheet piles are driven. These equations 
may be used as a tool in practical design 
for aprons of heading up structures 
formed on pervious soil and provided 
with upstream and downstream sheet 
piles at the ends of the apron. 

Conflict of Interest 

The authors declare no conflicts of interest. 

Funding 

No funding was received for this project. 

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M.A. El Molla, N.Y. Saad , and G.S. Ezizah 

 

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