## 3 Results
### Quantitative Evaluation of Structural Influencing Factors
#### 3.3.2 Calculate the Weight of Structural Factors  
In this section, the different levels under each factor are first analyzed for weights to determine the weights that each factor individually contributes to a particular level. The factors are then aggregated to calculate the weight assigned to a particular factor. * Moisture content  
The structural parameters of the specimens with different moisture contents at each circumferential pressure were plotted and are shown in Table 6.  
Calculate the coefficient of variation and weight value of different moisture contents under this factor using Formula (2) and Formula (7), respectively, as shown in Table 7. \begin{table}
\begin{tabular}{c c c c c c c} \hline \hline
**Confining** & \multicolumn{5}{c}{**Structural Parameters of Soil Samples with Different Moisture Contents**} \\ \cline{2-7}
**Pressure** & **6\%** & **11\%** & **16\%** & **20\%** & **26\%** & **31\%** & **36\%** \\ \hline
100 \((\mathrm{kPa})\) & 3.5 & 3.26 & 2.87 & 2.48 & 2.17 & 2.02 & 1.91 \\
200 \((\mathrm{kPa})\) & 3.21 & 2.98 & 2.64 & 2.38 & 2.13 & 2.01 & 1.86 \\
300 \((\mathrm{kPa})\) & 3.03 & 2.78 & 2.47 & 2.29 & 2.07 & 1.98 & 1.84 \\
400 \((\mathrm{kPa})\) & 2.93 & 2.71 & 2.44 & 2.23 & 2.03 & 1.94 & 1.83 \\ \hline \hline \end{tabular}
\end{table} 
Table 6: Structural Parameters of Specimens with Different Moisture Contents at Different Boundary Pressures. As can be seen in Table 4, the lowest weight value is assigned when the moisture content is 11% (natural moisture content) and the highest weight value is assigned when the moisture content is 36% (saturated moisture content). This point proves that when the moisture content is low, the dissolving effect of water on the cementing material in the soil is weak, the bond between the soil particles is strong, and the coefficient of variation is small. On the other hand, when the moisture content is high, the dissolving effect of water on the cementing material is strong, so the bond between the soil particles is weakened, the coefficient of variation gradually increases, and the effect of water on the structural properties is enhanced. The data in Table 4 show that the weight value occupied by each moisture content rate of soil samples with higher moisture content is generally higher than that occupied by soil samples with lower moisture content, which indicates that the dissolving effect of water immersion on the internal cementing material of soil samples is greater than the change in the structure of soil samples by water loss and contraction, which fully reflects the characteristics of the weakened structure of loess in contact with water. * Dry density  
Create a table showing the structural parameter values of soil samples with different dry densities under different confining pressures, as shown in Table 8.  
Calculate the coefficient of variation and weight value of different dry densities under this factor using Formula (2) and Formula (7), respectively, as shown in Table 9.  
As can be seen from Table 6, the coefficient of variation and weight value decrease overall with increasing dry density, except for a slight increase for the soil sample with a dry density of 1.41 g/cm\({}^{3}\). This indicates that soil samples with lower dry densities have a larger coefficient of variation and higher weight value compared to soil samples with higher dry densities, which have a greater effect on the structural properties of the soil. The \begin{table}
\begin{tabular}{c c c c c c c} \hline
**Moisture Content** & **6\%** & **11\%** & **16\%** & **20\%** & **26\%** & **31\%** & **36\%** \\ \hline coefficient of variation & 0.019 & 0.018 & 0.03 & 0.047 & 0.076 & 0.079 & 0.084 \\ weight value & 0.054 & 0.051 & 0.084 & 0.132 & 0.215 & 0.224 & 0.239 \\ \hline \end{tabular}
\end{table} 
Table 7: The Weight of Soil Samples with Different Moisture Contents Under Various Confining Pressures.