Published: 30 September 2020

Effect of silt content in filling sand on the geotubes dewatering performance by hanging bag tests

Xiaolei Man1
Shuigen Hu2
Wansheng Wang3
1, 2, 3College of Civil and Architecture Engineering, Chuzhou University, Chuzhou, 239000, China
Corresponding Author:
Xiaolei Man
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Abstract

The dewatering performance of geotubes is affected by the silt content of filling sand, which limits the construction speed of geotubes. In order to evaluate the effect of silt content of filling sand on the dewatering performance of geotubes, a series of hanging bag tests were carried-out by varying filling sand with five different silt content. In the tests, the variation of the water loss, soil loss and soil particles grading with time were studied. And the relationship between the silt content and the rate of water loss was analyzed. The research results show that the dewatering process could be divided into three stages, when the powder content is more than 20 %. Otherwise, the dewatering process only includes two stages. Three different bell-shaped function relationships exist between the percentage content of silt particles, median particle size and non-uniformity coefficient with the rate of water loss respectively. Furthermore, the different relationships were simplified into 3 different linear functions correspondingly. The research results could be used as a reference for geotubes engineering practice.

Effect of silt content in filling sand on the geotubes dewatering performance by hanging bag tests

Highlights

  • The effect of siltcontent on dewatering performance of geotubes was considered.
  • A series of hanging bag tests were carried out by varying filling sand with five different silt content to evaluate the effect of silt content of filling sand on the dewatering performance of geotubes
  • The dewatering process of hanging bags filled with different filling sand was explored.
  • The effects of filling sand parameters including the percentage content of silt particles, non-uniformity coefficient and median particle sizeon dewatering rate was analyzed.

1. Introduction

Geotube dams began to be used in the 1950s. With the characteristics of high adaptability to soft foundation and local materials, fast construction speed and low cost, geotube dams have been widely used in the construction of estuarine and coastal engineering [1, 2]. Geotube dams are formed with the dewatered geotubes on both sides and the soil in the middle. According to the construction requirements, the construction of the geotube should be started after the consolidation degree of the geotube in the lower layer reaching about 70 % [3]. Therefore, the construction period of the geotube dams is closely related to the dewatering and consolidation rate of the geotubes. Hence, the research on dewatering and consolidation of geotubes has important significance to engineering practice of geotube dams.

Koerner et al. [4] proposed that the test results of the hanging bag dewatering test method could be used as the prediction performance index of the field test. The effect of the water content of the filling soil, the particle grading of the bag material on the geotubes dewatering performance was studied through hanging bag tests by Muthukumaran et al. [5]. Furthermore, Malik et al. [6] studied the influence of the filling sand density on the dewatering performance of the geotubes. With the results of the hanging bag tests, Weggel et al. [7-9] analyzed the dewatering process of the geotubes, and established the analytical model of geotubes dewatering.

However, there is a lack of sandy soil with low clay (silt) content and good permeability in many areas, such as the southeast coast of China and some inland areas. Filling sand with more fine particles, causing the slow dewatering and consolidation rate of geotubes, has become one of the key problems limiting the application of geotube dams in these areas. Hence, the research on the dewatering performance of geotubes filling with high clay content soil has gradually emerged.

Chang et al. [10] studied the influence of the clay particles content of the filling sand, the equivalent pore size of the geotextile, and the flapping disturbance to the geotubes on the dewatering efficiency through hanging bag tests. According to the test results, a construction method for efficient dewatering was proposed when the clay particles content of filling sand was high. And the dewatering effect of this method has been verified in the indoor geotube dewatering model tests [11]. Subsequently, Wu et al. [12] verified this method with field dewatering model tests on large-scale geotubes. The results showed similarly that the method could accelerate the geotubes dewatering.

The above studies are all conducted on the effect of clay particles that have the greatest impact on the dewatering and consolidation rate of geotubes. Conversely, there is very little research on the impact of silt particles on the dewatering rate. However, the silt content of soil in coastal area is relatively high. For example, the silt content in the soil in the coastal areas of China is as high as 60 %. Therefore, it is necessary to study the effect of silt content on the dewatering rate of geotubes.

In this paper, the hanging bag test method is used to investigate the dewatering characteristics of geotubes under different silt content. With the test results, the effect of the silt content of the filling soil on the dewatering rate of geotubes is clarified.

2. Materials and methods

2.1. Test material

Five different filling sands were prepared by controlling the content of silt particles to be 10 %, 20 %, 30 %, 40 %, and 50 %. In order to reduce the influence of other particle size changes on the dewatering rate, only the maximum particles (particle size between 0.18-0.3 mm) content was adjusted with the change of silt content. The particle grading curve of filling sand in each test are shown in Fig. 1.

Fig. 1Particle grading curve of the filling sand

Particle grading curve of the filling sand

And the other parameters of filling sand are shown in Table 1.

Table 1ω, Cu and d50 in Test A~E

Test
Parameter
Content of silt particles ω (%)
Non-uniformity coefficient Cu
Median particle size d50
Test A
10
4.4
0.191
Test B
20
9.1
0.159
Test C
30
16.4
0.125
Test D
40
25.0
0.075
Test E
50
50.0
0.050

The geotextile used for the hanging bag is commonly used for geotubes, with a surface density of 200 g/m2, a thickness of 1.7 mm, and an equivalent aperture of 0.3 mm.

2.2. Test scheme

As shown in Fig. 2, a hanging bag is with a diameter of 30 cm and a height of 50 cm are sewn with geotextiles. When the mud mixture is poured into the hanging bag, water and some fine particles will seep out of the bag. And the weighing plate is placed under the bag to collect the water and fine particles from the hanging bag.

Fig. 2Hanging bag test

Hanging bag test

The process of hanging bag test could be summarized as follows. Firstly, 10 kg of soil and 10 kg of water were mixed into a mud mixture. Secondly, the mud mixture was poured into the hanging bag at a uniform speed. Thirdly, a weighing plate was placed under the hanging bag to receive exudate, and the weighing plate should be replaced and weighed at regular intervals until there was no liquid exudation coming out of the hanging bag. Finally, the received exudate at each interval was weighed again after drying. The mass of soil loss and water loss in each period of time could be analyzed according to the mass of exudate weighed before and after drying.

3. Results

3.1. Dewatering process

As shown in Fig. 3, the rate of water loss changes in each group of tests are basically the same. And they could be roughly divided into three stages including quick dewatering, slow dewatering, and rebounding dewatering.

Fig. 3Rate of water loss in Test A~E

Rate of water loss in Test A~E

In order to distinguish the three stages more clearly, the sections in Fig. 3 are cut out and enlarged respectively, wherein the rate of water loss within 0-12 minutes is shown in Fig. 4.

Fig. 4Rate of water loss in 0-12 min

Rate of water loss in 0-12 min

According to Fig. 4, in the first 12 minutes of the tests, the change trend of the rate of water loss in each group is almost the same. In this stage, the rate of water loss decreases linearly with time. And Eq. (1) which can describe this change trend is obtained through fitting:

1
v1=at+b.

Meanwhile, the parameters a and b in the formula of each test are shown in Table 2.

Table 2Parameter values of Eq. (1) in Test A~E

Test
a
b
Test A
–1.716
17.692
Test B
–1.213
13.416
Test C
–1.193
12.597
Test D
–0.903
9.909
Test E
–0.595
7.483

The rates of water loss within 12-30 minutes in Test A~E are shown in Fig. 5.

Fig. 5Rate of water loss in 12-30 min

Rate of water loss in 12-30 min

In this stage, the rate of water loss still decreases with time, but the rate of decline slows down. Similarly, Eq. (2) is used to describe this change trend through fitting:

2
v2=clnt+d.

And the parameters c and d in the formula of each test are shown in Table 3.

Table 3Parameter values of Eq. (2) in Test A~E

Test
c
d
Test A
–0.198
1.093
Test B
–0.397
1.806
Test C
–0.397
1.707
Test D
–0.533
2.186
Test E
–0.530
2.242

The rate of water loss in the remaining stage is shown in Fig. 6. It can be clearly seen that the rates of water loss in Test C~E increase firstly and then decrease, while the rates in Test A and Test B only decrease continuously.

Fig. 6Rate of water loss in 30-110 min

Rate of water loss in 30-110 min

According to the fitting analysis of the rate of water loss in this stage, when the silt content less than 20 %, the relationship between the rate of water loss and the time still satisfies Eq. (2) obtained in the second stage. However, when the powder content is higher than 20 %, the relationship between the rate of water loss and the time becomes a quadratic function of Eq. (3):

3
v3=it2+jt+k.

And the parameters i, j and k of this formula in Test C~E are shown in Table 4.

Table 4Parameter values of Eq. (3) in Test C~E

Test
i (×10-5)
j (×10-5)
k
Test C
–34.11
478.2
–1.080
Test D
–48.06
637.0
–1.395
Test E
–19.84
278.7
–0.482

In order to analyze the rate of soil loss and particle grading of the seepage soil, the weighing pan under the hanging bag was changed every three minutes during the test. The seepage of soil lasted for 12 minutes in test A, and there were four groups of seepage soil time. The seepage of soil lasted for 21 minutes in Test B~E and there are seven groups of seepage soil in each.

As shown in Fig. 7, the rate of soil loss changes in each group of tests are basically the same. All of them decrease linearly with time, and then the rate of decline slows down until no more soil seepage occurs. Although there is rebounding dewatering stage in the process of dewatering, there is no rebounding of the soil loss rate. This is because the peak value of the water loss rate in the rebounding stage does not exceed the value when the soil seepage stops.

Fig. 7Rate of soil loss in Test A~E

Rate of soil loss in Test A~E

After the seepage soil dried, the grading of seepage soil was tested with a BT-9300H laser particle size distribution analyzer. As shown in Fig. 8, A0, A1, and B1 respectively represent the grading of original soil grading in Test A, the first group (0-3 min) seepage soil grading in Test A and the first group (0-3 min) seepage soil in Test B. And the rest number codes could be introduced in the same way.

Fig. 8Particle grading curve of exuded soil in Test A~E

Particle grading curve of exuded soil in Test A~E

a) Test A

Particle grading curve of exuded soil in Test A~E

b) Test B

Particle grading curve of exuded soil in Test A~E

c) Test C

Particle grading curve of exuded soil in Test A~E

d) Test D

Particle grading curve of exuded soil in Test A~E

e) Test E

As shown in Fig. 8, the seepage soil of each test becomes finer as the dewatering process proceeds. The horizontal comparison of the seepage soil grading curve in the initial stage of the dewatering process (0-3 min), final phase of quick dewatering stage (9-12 min) and the stage of soil seepage to be completed (18-21 min) is shown in Fig. 9.

In the initial stage of the dewatering process, the particle grading of the seepage soil in each test is related to the original grading of the filling soil. The coarser the particle size of filling soil is, the coarser the particle size of seepage soil is. In final phase of quick dewatering stage, the particle grading of the seepage soil in each test is basically the same, which indicates that a similar infiltration structure is formed in the hanging bag in this stage. Therefore, even if the rate of water loss in each test is different, the particle grading of the seepage soil in the subsequent stages is basically the same.

Fig. 9Particle grading curve comparison of exuded soil in Test A~E

Particle grading curve comparison of exuded soil in Test A~E

From the above, when the silt content of the filling soil exceeds 20 %, the dewatering process of the hanging bag can be divided into three stages including quick dewatering, slow dewatering, and rebounding dewatering.

I. Quick dewatering stage.

In this stage, the rate of water loss is fast, and it decreases linearly with time. The soil seepage during the dewatering process also mainly occurs at this stage. And in the final phase of this stage, a filter structure is formed in the hanging bag.

II. Slow dewatering stage.

In this stage, the rate of water loss slows down, and the relationship between the rate of water loss and time becomes a concave function. Meanwhile, the particle grading of the seepage soil is basically the same.

III. Rebounding dewatering stage.

During this stage, there is a phenomenon of the dewatering rebound. The rate of water loss rises and then falls. However, despite the rebounding of dewatering rate, soil seepage does not occur.

Therefore, the functional relationship between the rate of water loss and time is:

4
vH=at+b, 0<t12,clnt+d, 12<t<30it2+jt+k, 30t. ,

When the silt content is less than 20 %, there is no rebounding dewatering stage in the dewatering process. Hence, the functional relationship between the rate of water loss and time becomes:

5
vL=at+b, 0<t<12,clnt+d, 12t.

3.2. Effect on dewatering rate

As shown in Fig. 3, the faster rate of water loss is concentrated in the quick dewatering stage. Therefore, the average rate of water loss in the quick dewatering stage v could be used as an index to evaluate the rate of water loss. Furthermore, based on the analysis of the relationship between v and its influence factors, including the percentage content of silt particles ω, the coefficient of nonuniformity Cu, and the median particle size d50, the influence of each factor on the dewatering rate was studied. Firstly, Fig. 10 shows the variation of v with ω in Test A~E.

Fig. 10Relationship between v and ω

Relationship between v and ω

It can be seen from Fig. 10 that the average rate of water loss in the quick dewatering stage gradually decreases with the increase of the percentage content of silt particles, which indicates that the excessive content of the silt particles in the filling soil is not conducive to the dewatering of the hanging bag. In addition, the relationship curve between v and ω is highly similar to the right half of a bell-shaped function curve. Considering that the bell function is complex, and the relationship between v and ω is close to the linear relationship, the linear fitting is carried out, as shown in Eq. (6):

6
v=-8.79ω+7.8.

The determination coefficient R2 of Eq. (6) is 0.97, which indicates that the formula is accurate when used to analyze the rate of water loss of the filling soil with a silt content of 10 %-50 %.

Through data pre-processing, it was found that the relationship between v and the logarithm of the non-uniformity coefficient lnCu also conformed to a bell-shaped function relationship, as shown in Fig. 11.

Fig. 11Relationship between v and lnCu

Relationship between v and lnCu

Similarly, the primary function is selected for fitting, and the Eq. (7) is obtained:

7
v=-1.5lnCu+9.24.

The determination coefficient R2 of Eq. (7) is 0.98, which indicates that the formula could accurately reflect the relationship between v and Cu.

In addition, the variation of v with d50 in Test A~E is shown in Fig. 12.

Fig. 12Relationship between v and d50

Relationship between v and d50

According to Fig. 12, the average rate of water loss v has a positive linear relationship with the median particle size d50 of the filling soil. After regression analysis, the Eq. (8) is obtained:

8
v=23.79d50+2.31.

The determination coefficient R2 of Eq. (8) is 0.97, indicating that the formula could be used to analyze the influence of the median particle size on the dewatering rate.

4. Conclusions

When the silt content of the filling soil exceeds 20 %, the dewatering process of the hanging bag can be divided into three stages including quick dewatering, slow dewatering and rebounding dewatering. And the functional relationship between the rate of water loss and time satisfies the Eq. (4). When the silt content is less than 20 %, the dewatering process only contains quick dewatering and slow dewatering two stages, excluding the rebounding dewatering stage. Meanwhile, Eq. (5) could be used to describe the relationship between the rate of water loss and time.

The loss of water and soil mainly occurs in the quick dewatering stage. After the filter structure is formed in the hanging bag, the dewatering process enters the slow dewatering stage from the quick dewatering stage. And in the rebounding dewatering stage, the rate of water loss rebounds without soil seeping.

The average rate of water loss in the quick dewatering stage could be used as an index to evaluate the dewatering rate of the hanging bag. The functional relationship between this average rate and the percentage content of silt particles, the non-uniformity coefficient and the median particle size of the filling soil is summarized by the Eq. (6), Eq. (7) and Eq. (8) respectively.

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About this article

Received
08 August 2020
Accepted
25 August 2020
Published
30 September 2020
Keywords
hanging bag test
geotube
dewatering
silt content
non-uniformity coefficient
median particle size
Acknowledgements

This research was funded by the Key Research Project of Natural Science in Colleges and Universities of Anhui Province (KJ2019A0640).