3.1 Compression Curve
The e-p and e-lgp curves of samples with different sizes are shown in Fig. 1 and Fig. 2. It can be seen from Fig. 1 and Fig. 2 that the compression curves of different size samples are the same, and the compression process of dredged silt has gone through three stages: (1) Small load disturbance stage (consolidation pressure p ≤ 12.5kPa): The compression curve is very steep and the compression coefficient is large. At this time, due to the loose state of dredged silt, great deformation occurs under the minimum consolidation pressure. With the large extrusion of thin film water between particles, the void ratio decreases very obviously, which shows different compression characteristics from general natural soft clay. (2) Elastic deformation stage: With the increase of consolidation pressure (p = 25 ~ 80kPa), the soil is continuously compacted to form a new structural strength, which can resist the additional pressure imposed by some parts, and the curve becomes gentle and enters the elastic compression stage. At this stage, the elastic deformation of soil skeleton mainly occurs, with a small amount of film water extrusion, the compression deformation is not large compared with the first stage, and the compression coefficient is not large. (3) Plastic deformation stage: when the consolidation pressure continues to increase, the soil structure is destroyed, and the clay particles are relatively slipped and re-closely arranged. The deformation of dredged silt in this stage is mainly plastic deformation, and the curve presents on an upward concave shape. The greater the consolidation pressure, the more obvious this stage.
In the first stage, the void ratio of samples changed greatly, and there is little difference with the variation in void ratio of samples with different sizes. The change of void ratio of samples with different sizes in the second and third stages is quite different, and the change of void ratio decreases with the increase of sample size.
3.2 Compression Strain
The cumulative stable strain of samples with different sizes under different consolidation pressures is shown in Fig. 3. It can be seen from Fig. 3 that under the same consolidation pressure, the influence of sample size on the stable strain of soil sample is approximately linear, that is, with the increase of sample size (sample height), the cumulative stable strain of soil sample decreases. When the consolidation pressure is small, the linear decrease is not obvious; when the consolidation pressure is large, the linear decrease is more obvious.
With the increase of sample height, the change of cumulative strain is shown in Table 3. It can be seen from Table 3 that when the sample size (sample height) increases from 2 cm to 3 cm, the minimum difference of cumulative strain of the sample is 0.318% at the consolidation pressure of 5 kPa. When the consolidation pressure is 120kPa, the maximum difference of cumulative strain is 2.022%. When the sample size (sample height) increases from 3cm to 4cm, the minimum difference of cumulative strain is 0.242% at the consolidation pressure of 5kPa. When the consolidation pressure is 25 kPa, the maximum difference of the cumulative strain of the soil sample is 1.482%. When the sample size (sample height) increases from 2cm to 4cm, the minimum difference of cumulative strain is 0.56% at the consolidation pressure of 5kPa. When the consolidation pressure is 120 kPa, the maximum difference of the cumulative strain of the soil sample is 2.997%.
Table 3
Variation of accumulative strains of samples with different sizes
Consolidation Pressure p(kPa) | Accumulative Strain A(2cm)(%) | Accumulative Strain B(3cm)(%) | Accumulative Strain C(4cm)(%) | A-B (%) | B-C (%) | A-C (%) |
5 | 20.315 | 19.997 | 19.755 | 0.318 | 0.242 | 0.560 |
12.5 | 23.400 | 22.350 | 20.910 | 1.050 | 1.440 | 2.490 |
25 | 26.140 | 25.197 | 23.715 | 0.943 | 1.482 | 2.425 |
50 | 28.880 | 28.383 | 27.990 | 0.497 | 0.393 | 0.890 |
80 | 31.795 | 30.450 | 29.208 | 1.345 | 1.242 | 2.587 |
120 | 35.495 | 33.473 | 32.498 | 2.022 | 0.975 | 2.997 |
3.3 Yield Stress of Soil Structure and Compression Index
The mechanical properties of structural soil, such as the dredged silt, are pretty different before and after the yield stage, and the structural yield stress is an essential parameter of the dredged silt. Butterfield (1979) first proposed determining the yield stress of the structure by using the double logarithmic coordinates (Butterfield 1979). Later, many scholars confirmed the effectiveness of this method and confirmed that the intersection of the two straight lines was the yield stress of the soil structure (Sridharan et al. 1991; Hong and Onitsuka 1998). In the present paper, the double logarithmic coordinates method (ln(1 + e) ~ lgp) proposed by Butterfield has been used to determine the structural yield stress of dredged silt.
The ln(1 + e) ~ lgp curves of soil samples with different sizes are shown in Figs. 4–7. The compression curves in Figs. 4–7 were approximately linearly expressed by two straight lines. The structural yield stress was obtained by processing the curves of samples with different sizes, as shown in Table 4. It can be seen from Table 4 that with the increase in soil sample height, the yield stress of soil samples with different sizes had little difference, with an average of 50 kPa. The reason for this phenomenon is that the yield stress of soil structure is an important index to measure the structural strength of the soil. For the same soil, the structural strength mainly depends on the properties, connection mode and arrangement mode of soil particles. Moreover, it has little relationship with the sample size.
The compression index Cc can be determined by the slope of the e-lgp curve in the yield stage of soil structure, which approximates the straight line. The compression indexes of soil samples at different heights are shown in Table 4. It can be seen from Table 4 that the compression index Cc decreases when the sample height increases. It was found there was little difference in the compression index of samples with different sizes.
Table 4
Structural yield stress and compression index of samples with different sizes
Sample Size (cm) | Structural Yield Stress σc(kPa) | Compression Index Cc |
2 | 50.1 | 0.5335 |
3 | 47.3 | 0.5276 |
4 | 52.5 | 0.5206 |
3.4 Coefficient of Consolidation
The time square root curve was recorded using an automatic air pressure consolidometer. The consolidation coefficient of different sizes of samples under different consolidation pressures was obtained by the “time square root method” (see Fig. 8). Under the same consolidation pressure, when the sample height is more significant, namely, the increase of drainage distance of the soil sample, the consolidation coefficient of the soil sample gradually decreases, and the consolidation rate of the soil sample falls as well. When the consolidation pressure is low (p = 12.5kPa), the consolidation coefficient of the soil sample (with a height of 2cm) is twice of the soil sample (with a height of 4cm). However, the variation regularity of consolidation coefficient with consolidation pressure for different size samples stays the same. Under the condition of the consolidation pressure being lower than the structural yield stress σc (50 kPa), the consolidation coefficient increases when the consolidation pressure increases and reaches the maximum value at the structural yield stress. Differently, while the consolidation pressure exceeds the structural yield stress σc, the consolidation coefficient of soil samples decreases when the consolidation pressure increases and becomes stable. When the consolidation pressure is smaller than the structural yield stress, the void ratio of the soil sample is relatively large. It then has high permeability, and the consolidation coefficient of the soil sample is increased. When the consolidation pressure is greater than the structural yield stress, the compression deformation of the soil rises rapidly, and the void ratio decreases rapidly. Consequently, the soil particles are compacted, and the connectivity between particles becomes poor, leading to the change in the permeability of the soil, the fast lowering of the permeability, and the decrease of the consolidation coefficient of the soil sample.
However, it was found that the consolidation coefficient decreases with the increase of soil sample height. The consolidation coefficient measured by the conventional soil sample (with a height of 2cm) cannot be simply used to predict the consolidation rate and consolidation settlement process of dredged silt foundation. Instead, the influence of the size effect should also be further investigated.
3.5 Comparative Analysis of Consolidation Coefficient Between Dredged Silt and Marine Silt
Two kinds of silts samples from the same areas, dredged silt and marine silt (see Table 1), were used. These samples have similar initial water content and void ratio in soil samples. These samples were used to compare and analyze the consolidation coefficient and permeability coefficient variation with consolidation pressure. The consolidation and permeability tests were conducted by using the GDS consolidation apparatus to determine the consolidation coefficient and permeability coefficient. The marine silt was collected at a depth of 2m in the shallow water area outside the west channel port of Shenzhen Bay. Moreover, the dredged silt was collected at a depth of 0.5-1.5m on the surface of the silt pond in the reclamation area of Shenzhen airport. Table 5 shows the physical properties of the two types of silt and consolidation pressure under graded loading. Additionally, the particle analysis test and X-ray diffraction results of the three kinds of silt soil samples can be found in Table 6.
Table 5
Physical properties and consolidation pressure of two kinds of silt samples
Silt Sample | w(%) | ρ (g/cm3) | Gs | e0 | p (kPa) | Sample Size (cm) |
Marine Silt in the West Channel Port of Shenzhen Bay | 99.2 | 1.420 | 2.67 | 2.703 | 25,50,100, 200,400,800 | 2 |
Dredged Silt in Shenzhen Airport | 100.63 | 1.448 | 2.68 | 2.712 | 6,12.5,25,50, 100, 200 | 2 |
Table 6
Material composition of three kinds of silt samples
Silt Sample | Composition Content of Soil Particles (%) | Absolute Content of Clay Minerals (%) |
Powder Particle (0.005~ 0.075mm) | Clay Particle (0.002~ 0.005mm) | Colloidal Particle (< 0.002mm) | Kaolinite | Illite /Montmori-llonite | Chlorite |
Dredged Silt in Qianwan Bay, Shenzhen | 53.0 | 20.7 | 26.3 | 14.6 | 18.8 | 2.7 |
Dredged Silt in Shenzhen Airport | 51.8 | 21.5 | 26.7 | 13.8 | 17.9 | 3.0 |
Marine Silt in the West Channel Port of Shenzhen Bay | 43.2 | 16.8 | 38.0 | 28.6 | 4.7 | 5.1 |
The variation of consolidation coefficients with consolidation pressure of three kinds of silt samples is shown in Fig. 9. As can be seen from Fig. 9:
(1) The curves of consolidation coefficient of dredged silt measured by different consolidation apparatus in Shenzhen Qianwan and Shenzhen Airport with consolidation pressure were found to coincide with each other, indicating that the two kinds of consolidation apparatus have high reliability in determining the consolidation coefficient of dredged silt. When consolidation pressure increases, the consolidation coefficient of dredged silt increases as well. When the consolidation pressure is less than or equal to 200 kPa, the consolidation coefficient of dredged silt increases to align with the higher consolidation pressure. To be more specific, when the consolidation pressure increases continuously, the consolidation coefficient of dredged silt also increases continuously but slowly until reaching a specific stable value. The consolidation coefficient of dredged silt increases from 0.263×10-3cm2/s to 0.510×10-3cm2/s when the general preloading load is 50 ~ 300 kPa, doubling the original value. Therefore, an error will be generated if the constant consolidation coefficient is used to predict the settlement process and consolidation degree.
(2) When the consolidation pressure is less than or equal to 200kPa, the consolidation coefficient of marine silt under the same consolidation pressure is much greater than that of the two types of dredged silt (see Fig. 9). When consolidation pressure increases, the difference between the two types of silt decreases. It was found that curves of the consolidation coefficient of marine silt and dredged silt met at one point (see Fig. 9). When the consolidation pressure reaches 600 kPa, the consolidation coefficient of dredged silt is greater than that of marine silt. It indicates that the consolidation property of dredged silt is performing worse than that of marine silt in its initial state. However, it can still approach or reach the same drainage consolidation rate as marine silt after preloading treatment.
The difference in consolidation coefficient between dredged silt and marine silt lies in their formation process, stress history and material composition. The dredged silt was fueled by undisturbed marine silt through blowing and mechanical stirring. It then formed under-consolidated soil. The original state of the soil structure has been destroyed, and the current structure is loose. The priority was given to developing the unstable turbulence and granular mosaic structure. A large fracture has also been developed. Compared with the marine silt, mainly composed of granular cementation and honeycomb structure, the dredged silt shows obvious characteristics of macropore overhead. The compression coefficient was found higher under low consolidation pressure, resulting in the consolidation coefficient of marine silt being higher than that of dredged silt.
The scanning electron microscopy analysis shows that the clay minerals of marine silt in Shenzhen were mainly kaolinite, followed by illite and chlorite. The X-ray diffraction test results show that the dredged silt is mainly illite/montmorillonite and kaolinite, with poor hydrophilicity and small hydration film thickness, leading to high compressibility (see Table 6). The physical and mechanical properties show that the water content and void ratio are more significant than marine silt. The void ratio decreases significantly under slight consolidation pressure. The compression coefficient is more significant than marine silt under the same condition. The permeability coefficient also changes significantly, resulting in the consolidation coefficient of dredged silt being smaller than that of marine silt.
Table 6 shows the sum of clay and colloid contents of dredged silt from Shenzhen Qianwan, dredged silt from Shenzhen Airport and marine silt from the western passage of Shenzhen Bay. The particle analysis results are 47.0%, 48.2% and 54.8%, respectively. It was found they are not significantly different from each other. However, it was also found the particle size composition had a significant impact on the drainage consolidation rate of soil. The dredged silt and marine silt had a similar consolidation coefficient in the later stage of the test under high consolidation pressure. The consolidation coefficient of dredged silt was greater than that of marine silt.
3.6 Comparative Analysis of Permeability Coefficient between Dredged Silt and Marine Silt
The permeability coefficient was calculated according to the consolidation coefficient of three kinds of silt samples. Figure 10 shows the variation curve of permeability coefficient with consolidation pressure. Two significant findings are:
(1) The permeability coefficient of dredged silt measured by different consolidation apparatuses in Shenzhen Qianwan and Shenzhen Airport have the same variation under the consolidation pressure. When the consolidation pressure p ≤ 50kPa, that is, the consolidation pressure is less than the structural yield stress, the permeability coefficient of dredged silt decreases significantly with the increase of the consolidation pressure. When the consolidation pressure increases, the permeability coefficient of dredged silt stables to a specific value. When the preloading load is 5 ~ 400 kPa, the permeability coefficient of dredged silt in Shenzhen Qianwan Bay decreases from 5.39×10-7cm/s to 2.20×10-8cm/s (it went down an order of magnitude). A constant permeability coefficient is used to predict the consolidation settlement process, and a significant error occurs.
(2) Under the same consolidation pressure, the permeability coefficient of two kinds of dredged silt was found to be significantly greater than that of marine silt. The significance is particularly greater when the smaller consolidation pressure p ≤ 50kPa. When the consolidation pressure p = 25kPa, the permeability coefficient of dredged silt was three times that of marine silt. When the consolidation pressure increases, the permeability coefficient of marine silt decreases and stables to a certain value. When the preloading load is 25–800 kPa, the permeability coefficient of marine silt decreases from 6.77×10-8cm/s to 3.80×10-9cm/s. This value is nearly approximately one order of magnitude smaller than that of the dredged silt.
The difference in permeability coefficient between dredged silt and marine silt is determined by their particle composition and pore characteristics. The particle size test results in Table 6 show that the dredged silt has undergone hydraulic remodeling, gravity separation and clayization in the process of dredger fill. The sum of clayey and colloidal particles is lower than that of marine silt, resulting in high permeability and a large permeability coefficient of dredged silt. In addition, most of the interparticle pores are developed among the dredged silt particles. In particular, when there are more interparticle pores, the micro-layers and fractures are developed. Moreover, the more intergranular pores are, the better the connectivity is, and the greater the permeability coefficient is than that of marine silt.