4.2.1. PVD Structure
A PVD is typically composed of a geotextile filter-wrapped plastic band with molded channels designed to aid in the consolidation of soils. These serve as drainage pathways for pore water in soft compressible soils that consolidate more quickly when subjected to continuous vacuum preloading [
33]. The PVD filter should meet the filter design criteria as they are important for enhancing the PVD performance. A commonly used criterion was given in previous studies [
34,
35,
36,
37].
The SEM pictures from the three types of PVD before vacuum preloading showed the arrangement of the straight filter and pore area. At 500× magnification, microscopic images in representative sections of the three types of PVD were captured, as shown in
Figure 12. The pore size or the apparent opening size (AOS) must be small enough to prevent the fine particles of the soil from entering the filter and the drain. The standards [
34,
35] commonly used can be expressed as
where
is the AOS of the filter,
is the size larger than 50% of the fabric pores, and
and
refer to the sizes for 85% and 50% of particles in the soil by weight.
≤ 0.075 m (or 75 mm) is often specified for a prefabricated vertical drain. As a result, to achieve the goals of the vacuum preloading effect, it is critical to select a suitable pore size of the filter.
In addition, to interpret the SEM images, the pores and PVD filter size in the area were analyzed as shown in
Figure 13.
The results show that the pore size area of the filter for PVD types A, B, and C varied in the range of 0.1–12.136 µm. The average
values for PVD filters types A, B, and C of 83, 116, and 265 µm were employed in this study according to the criterion proposed in [
35].
In addition, quantitative analysis of the soil microstructure area showed that PVD type B had a large filter area of 55% and a pore area of 45%, whereas types A and C had a filter area of 43% and a higher pore area of 57%. Therefore, the SEM images could characterize PVD filters with different pore sizes. It is essential to observe the PVD type, and a large PVD filter ensures a higher drainage rate.
A large PVD filter area in percentage means that more filter material is present per unit area of soil, thus increasing the filtering capacity of the system and helping prevent soil particles from clogging the PVD [
38]. However, if the pore area is smaller in percentage, there is less space available for water to flow through the soil and into the PVDs; this can reduce the overall drainage capacity of the system and slow down the consolidation process.
The balance between the PVD filter and pore areas is important in designing an effective PVD system. The filter material must be sufficient to prevent clogging and maintain long-term performance. At the same time, the available pore space must be adequate to allow for efficient drainage and consolidation. Therefore, selecting the PVD type is essential to ensure its successful implementation in the field. According to this study, PVD type B over types A and C according to the PVD filter structure.
- 2.
The PVD filter and pore interaction after vacuum preloading
The interaction between the PVD filter and the pores, also known as clogging, which is caused by vacuum preloading, depends on several factors, including the properties of the soil, the filter material, and the drainage capacity of the system [
38,
39,
40]. On the other hand, if the filter material has a low permeability or the PVD system is not designed correctly, the interaction between the PVD filter and pores may not be optimal [
41]. This can lead to clogging of the filter and a reduction in the drainage capacity of the system. If this occurs, the consolidation process may be slowed down or ineffective, leading to potential long-term stability issues.
Therefore, it is crucial to understand the interaction between the PVD filter and the pores caused by vacuum preloading to optimize the design and properties of the system accordingly. Thus, the effectiveness of the PVD system during installation using a mandrel was ensured in this study.
Figure 14 shows the structure of the PVD filter and pore changes caused by vacuum preloading with reference to deformation modes [
18].
After vacuum preloading, SEM images of both the soil-facing and drain channel-facing sides were captured. Additionally, the opening in the filter was filled with fine soil particles on both sides, with notable differences existing. On the side contacting the soil, more fine particles filled the filter interspacing. The filter structure changed due to the effect of vacuum preloading. In this study, the approach used was based on the shape of the deformation effect of the PVD. The PVD filter could present one of three different structures after consolidation, namely, uniform, local, and sinusoidal bending, referring to the deformation modes in a previous study [
42].
For more detail,
Figure 15a shows the quantitative analysis results in terms of area and percentage to understand the effectiveness of PVD depth. The results show that, in the bottom area of PVDs, the particle area was 4.3 × 10
4 µm
2 and pore area was 8.9 × 10
4 µm
2 for type A, 4.9 × 10
4 µm
2 and 8.4 × 10
4 µm
2 for type B, and 4.7 × 10
4 µm
2 and 8.6 × 10
4 µm
2 for type C. These results show that the bottom area of all PVD types in this study had a higher particle area due to vacuum preloading, and that using the PVD filter decreased the pore size. These results indicate that the fine particles moved to fill the areas with large pores during vacuum preloading. This can be considered a clogging effect [
38], as also proven by
being larger than 50% of
n′ in
Figure 15b.
The general form of the PVD filter, pore, and particle areas was analyzed using ImageJ and expressed as follows:
where
is the pore area,
is the PVD and pore area,
is the slope of the pore area,
is the particle area, and
is the initial PVD and pore area before the test.
In summary, the clogging effect on PVD filters caused by vacuum preloading was influenced by the filter’s geometry, stiffness, and surrounding soil properties. The design and properties of the PVD filter should be optimized to ensure that it can withstand external loads and maintain its stability during installation and use.
4.2.2. Soil Structure
- 1.
Soil structure before vacuum preloading
Kaolinite is a clay mineral that can form a soft soil with high water content. In
Figure 16, an SEM image of the soil before the consolidation test is shown, and the corresponding size distribution is described in
Table 6. The SEM image of kaolinite specimens with different fabrics is consistent with the conclusion obtained from the sedimentation test [
43,
44]. In addition, the samples varied in several factors, such as the sample preparation method, imaging conditions, and the nature of the material [
45].
In this study, SEM images showed a relatively smooth and uniform surface at lower magnifications, with some voids and visible pores. The edges of the particles appeared slightly rounded or irregular due to the presence of water. At higher magnifications, the SEM image revealed the platy structure of the kaolinite particles, which were stacked or arranged in a random orientation. The particles were tightly packed together, with little space between them, or more loosely packed, with visible voids and gaps.
In some areas, the SEM image showed small aggregates of particles, indicating the presence of localized bonding between the particles. The aggregates were irregular in shape, and the surfaces showed some textural variation, including cracks, fissures, or other features. Overall, the structure of kaolinite soft soil with high water content appeared relatively homogeneous and uniform, with some variability in the particle arrangement and texture visible under higher magnification. The SEM image provides valuable information about the microstructure and properties of the soil, which can help to inform engineering and construction decisions.
- 2.
Soil structure after vacuum preloading
SEM images were used to study the changes in soil structure due to vacuum preloading. SEM can provide high-resolution images of soil particles and their arrangements, allowing us to observe the changes in the soil microstructure due to consolidation [
46,
47,
48].
Taking into consideration the PVD, pore, and particle results, the bottom area of the PVD was determined as a clogging area. Further analysis was necessary to understand the effect of PVD in the three areas.
Figure 17 shows the SEM images from the three areas, highlighting the effect of PVD after vacuum preloading on the soil structure. The SEM images show that the soil particles became more closely packed after vacuum preloading.
The soil particles became more tightly interlocked, resulting in a denser soil structure with face-to-face contact between particles and domains [
49]. Furthermore, the morphology of soil particles was affected by vacuum preloading [
50,
51]. For example, clay particles became more angular or irregularly shaped, indicating that vacuum preloading altered the soil particle properties.
To explain these results more clearly, an analytical approach was carried out in this study, and the results are shown in
Figure 18. It can be seen that the pore and particle areas for PVD type B were 0.5 × 10
3 µm
2 and 0.7 × 10
3 µm
2 in the inner smear zone, 0.3 × 10
3 µm
2 and 1.1 × 10
3 µm
2 in the transition zone, and 0.7 × 10
3 µm and 0.7 × 10
3 µm in the undisturbed zone. The corresponding values for type A were 1.2 × 10
3 µm
2 and 2.4 × 10
3 µm
2, 0.9 × 10
3 µm
2 and 2.7 × 10
3 µm
2, and 0.8 × 10
3 µm
2 and 2.7 × 10
3 µm
2, respectively. The corresponding values for type C were 1.2 × 10
3 µm
2 and 2.4 × 10
3 µm
2, 0.9 × 10
3 µm
2 and 2.7 × 10
3 µm
2, and 1.9 × 10
3 µm
2 and 1.7 × 10
3 µm
2, respectively. The results show that the particle area increased whereas the pore area decreased for all types of PVD. However, the particle size used in PVD type B was smaller than that used in PVD types A and C. The results indicate that PVD type B worked optimally during consolidation due to the clogging effect. Furthermore, when using type B, the particle area increased by 40–80%.
This study indicated that a reduction in pores and particle size impacted the soil structure. SEM images revealed the changes in the soil fabric and provided insights into how these changes influenced the soil properties. Overall, SEM can provide valuable insights into the changes in soil microstructure caused by vacuum preloading. This information can be used to understand the mechanisms of vacuum preloading and to optimize the technique for specific soil conditions.