3.1. Influence of different moisture contents on cumulative strain
Figure 6 shows the variation of cumulative strain with the number of dynamic stress loading cycles for different moisture contents. Analysis of the cumulative strain variation curve reveals that initially under dynamic stress loading, cumulative strain shows rapid growth with a vertical rise in the cumulative strain curve. After approximately 300 cycles of dynamic stress, the growth rate of cumulative strain begins to slow down, and by 1000 cycles, the cumulative strain curve enters a phase of slow growth. The overall trend of the curve indicates that initially under dynamic stress loading, the rate of cumulative strain is high. After 1000 cycles, the rate of cumulative strain begins to decrease and eventually stabilizes. Total cumulative strain is affected by moisture content, increasing as moisture content increases. At 300 cycles, cumulative strains for moisture contents of 8%, 12%, and 16% are 2.695%, 3.797%, and 5.507% respectively; at 1000 cycles, cumulative strains are 3.101%, 4.453%, and 6.609%; and at 10000 cycles, cumulative strains are 4.377%, 6.638%, and 8.870% respectively for moisture contents of 8%, 12%, and 16%.
In this study, observation of the cumulative strain variation curve reveals that after 1000 cycles of dynamic stress loading, the cumulative strain curve exhibits a distinct linear characteristic (Fig. 7). This finding is significant for understanding the strain behavior of materials under cyclic loading conditions.
Specifically, under different moisture content conditions, through parameter fitting calculations, relationships (Eq. 4) between cumulative strain and number of cyclic loading cycles were obtained. Table 2 presents the fitting parameters for different moisture contents. The results indicate high fitting degrees ranging from 0.96132 to 0.99395, demonstrating a high fitting accuracy. This suggests that the adopted fitting formula can effectively reflect the relationship between cumulative strain and number of cyclic loading cycles under different moisture content conditions. The high fitting degrees indicate that despite the significant influence of moisture content changes on material strain behavior, accurate predictions of strain variations under different moisture content conditions can still be achieved through appropriate fitting models. This provides a reliable theoretical basis for further research and practical applications of the material in engineering.
In summary, through analysis of experimental data and establishment of fitting models, this study elucidates the cumulative strain characteristics of silty clay under dynamic stress loading conditions at different moisture contents. The high fitting degrees validate the effectiveness of the fitting formulas and provide important reference for the engineering application of the material.
$${\varepsilon _{\text{a}}}=g{\text{+}}hS$$
4
Here, g and h are fitting parameters.
Table 2
Linear fitting parameters for different moisture contents.
Moisture content | g | h | R2 |
8% | 3.08593 ± 0.04024 | 1.31697E-4 ± 6.59603E-6 | 0.96132 |
12% | 4.28654 ± 0.03143 | 2.33571E-4 ± 4.87006E-6 | 0.99395 |
16% | 6.55952 ± 0.07009 | 2.45672E-4 ± 1.11441E-5 | 0.97194 |
3.2. Influence of different confining pressures on cumulative strain
Based on the results of moisture content influence on cumulative strain, we conducted a detailed analysis of the relationship between cumulative strain and the number of dynamic stress loading cycles under different confining pressure conditions. The variation curves in Fig. 8 show distinct phase characteristics of cumulative strain throughout the loading process.
Firstly, during cycles 0 to 300 of dynamic stress loading, the cumulative strain curve rapidly rises, indicating a high rate of cumulative strain. Specifically, at confining pressures of 50 kPa, 100 kPa, and 200 kPa, the rates of cumulative strain are 6.923E-3εa/S, 1.290E-2εa/S, and 1.058E-2εa/S, respectively. This rapid growth phase suggests that silty clay is highly sensitive to dynamic stress during initial loading, resulting in rapid accumulation of strain.
In the subsequent cycles from 300 to 1000, the curve transitions from rapid growth to slow growth, with the growth rate of cumulative strain slowing down. During this phase, the rates of cumulative strain at confining pressures of 50 kPa, 100 kPa, and 200 kPa decrease to 2.183E-3εa/S, 2.646E-3εa/S, and 3.311E-3εa/S, respectively. This transitional phase reflects the stabilization of strain mechanisms of silty clay under dynamic stress.
After exceeding 1000 cycles, the cumulative strain curve enters a phase of stable growth, maintaining a low growth rate, indicating a slow and stable increase. This suggests that under long–term cyclic loading, cumulative strain of silty clay stabilizes, with further dynamic stress loading having diminishing effects on cumulative strain.
Comparison and analysis of cumulative strain curves under different confining pressure conditions reveal that increasing confining pressure significantly affects the total cumulative strain. Specifically, at confining pressures of 50 kPa, 100 kPa, and 200 kPa, the total cumulative strains are 3.036%, 3.933%, and 4.496%, respectively. This indicates that with increasing confining pressure, the total cumulative strain of silty clay under dynamic stress loading also increases.
In conclusion, this study elucidates the cumulative strain characteristics of silty clay under dynamic stress loading at different confining pressure conditions. The phase changes in cumulative strain curves and the significant influence of confining pressure on total cumulative strain provide important experimental basis for further understanding the mechanical properties of silty clay under complex stress conditions.
Through analysis of strain curves under different confining pressure conditions, it was found that after a certain number of cycles, strain curves exhibit linear characteristics. Specifically, fitting analysis of data after exceeding 1000 cycles is shown in Fig. 9, with the linear relationship described by Eq. (5). This equation effectively reflects the relationship between cumulative strain and number of cycles under different confining pressures.
$${\varepsilon _{\text{a}}}=a{\text{+}}bS$$
5
In Eq. (5), parameters a and b represent the intercept and slope of the fitting curve, with specific values listed in Table 3. The fitting degrees range from 0.99111 to 0.99496, indicating a high degree of fit with actual data. This high fitting degree implies that Eq. (5) accurately captures the linear relationship between cumulative strain and number of cycles under different confining pressure conditions, applicable across various scenarios.
Further analysis of fitting parameters a and b reveals that variations in confining pressure significantly affect these parameters. With increasing confining pressure, parameter a (slope) also increases, indicating a greater rate of cumulative strain increase with cycle number under higher confining pressures. This finding is consistent with the earlier observation of confining pressure's impact on total cumulative strain, further validating the influence of confining pressure on strain behavior of silty clay under dynamic stress loading.
The high accuracy of the linear model through high fitting degrees enables more precise prediction of cumulative strain behavior of materials under long–term cyclic loading conditions under different confining pressures. This holds significant implications for assessing the performance of silty clay in practical engineering applications. Understanding the strain characteristics of silty clay under different confining pressures can assist researchers in predicting material performance over extended periods, thereby enabling more informed design and selection decisions.
In summary, this study reveals the linear relationship between cumulative strain and number of cycles under different confining pressure conditions through fitting analysis of strain curves. The high accuracy of fitting Eq. (5) validates its applicability, providing a reliable theoretical basis for predicting strain behavior of silty clay under complex stress environments.
Table 3
The linear fitting parameters for different confining pressures.
σc(kPa) | a | b | R2 |
50 | 2.10322 ± 0.01301 | 9.62396E-5 ± 2.02367E-6 | 0.99341 |
100 | 2.53772 ± 0.01718 | 1.38623E-4 ± 2.84752E-6 | 0.99496 |
200 | 3.14484 ± 0.01554 | 1.31635E-4 ± 2.72027E-6 | 0.99111 |
3.3. Influence of different CSR on cumulative strain
In this study, we also analyzed the relationship between cumulative strain and the number of loading cycles under different cyclic stress ratios (CSR), as shown in Fig. 10. Strain curves under different CSR conditions exhibit distinct phase characteristics, and the cycle numbers of these phase transitions correspond to those observed under different moisture content and confining pressure conditions.
Specifically, during cycles 0 to 300, the cumulative strain curves show a rapid growth trend. During this phase, the rates of cumulative strain for CSR values of 0.3, 0.4, and 0.45 are 1.019E-2εa/S, 1.304E-2εa/S, and 1.848E-2εa/S, respectively. This indicates that during initial cyclic loading, the strain accumulates rapidly, demonstrating high sensitivity of silty clay to initial loading.
From cycles 300 to 1000, the cumulative strain curves transition from rapid growth to slow growth, gradually stabilizing. During this phase, the rates of cumulative strain for CSR values of 0.3, 0.4, and 0.45 decrease to 3.617E-3εa/S, 4.993E-3εa/S, and 7.770E-3εa/S, respectively. This change suggests that after a certain number of loading cycles, the strain rate of silty clay significantly slows down, and cumulative strain tends towards stability.
After exceeding 1000 cycles, the cumulative strain curves exhibit a slow and stable growth state. At this point, the total cumulative strains for CSR values of 0.3, 0.4, and 0.45 are 5.488%, 9.275%, and 13.179%, respectively. This indicates that under long–term cyclic loading conditions, higher CSR values lead to greater total cumulative strain, implying that silty clay is more prone to accumulating larger deformations under higher stress ratios.
Through comparative analysis of cumulative strain curves under different CSR conditions, several patterns are observed:
Distinct phase characteristics: Cumulative strain curves under different CSR conditions exhibit significant phase characteristics, consistent with the transition points observed under previous moisture content and confining pressure conditions. This consistency indicates consistent behavior of silty clay under strain in different environmental conditions.
High initial sensitivity: During cycles 0 to 300, the strain rates are high, indicating high sensitivity of silty clay to cyclic stress during initial loading, resulting in rapid accumulation of strain.
Tendency towards stability in cumulative strain: From cycles 300 to 1000, the strain rates slow down significantly, indicating that the strain of silty clay has approached its peak, and cumulative strain tends towards stability.
Significant influence of CSR: Higher CSR values lead to greater total cumulative strain, indicating that under long–term cyclic loading conditions, an increase in cyclic stress ratio significantly affects the cumulative deformation of silty clay.
In summary, this study reveals the cumulative strain characteristics of silty clay under cyclic loading processes under different CSR conditions. The significant phase characteristics and the impact of CSR on total cumulative strain provide important experimental basis for understanding the mechanical behavior of silty clay under complex stress environments.
Through analysis of the variation curves of cumulative strain with loading cycles under different cyclic stress ratios (CSR), it was found that after exceeding 1000 cycles, the cumulative strain curves exhibit good linear characteristics. This linear feature is particularly pronounced for CSR values of 0.3 and 0.4. Therefore, data after 1000 cycles were selected for fitting analysis, with results shown in Fig. 11. The fitting curve is described by Eq. (6), which reflects the linear relationship between cumulative strain and number of loading cycles under different CSR conditions.
$${\varepsilon _{\text{a}}}=e{\text{+}}fS$$
6
In Eq. (6), parameters e and f represent the intercept and slope of the fitting curve, with specific fitting parameters for different CSR conditions detailed in Table 4. The fitting degrees range from 0.90990 to 0.99801, indicating high fit with the data. Although the fitting degree for the CSR 0.45 curve is relatively lower, it still exceeds 0.9, demonstrating the high accuracy and reliability of the fitting model.
Detailed analysis of fitting parameters e and f reveals the cumulative strain behavior under different CSR conditions:
Significant linear characteristics: After exceeding 1000 cycles, cumulative strain curves under different CSR conditions exhibit clear linear characteristics. This indicates that under long–term loading conditions, the relationship between cumulative strain of silty clay and number of loading cycles can be well described by a linear model.
High fitting accuracy: The fitting parameters range from 0.90990 to 0.99801, showing high fitting degrees, validating the effectiveness of Eq. (5) in describing the relationship between cumulative strain and number of loading cycles under different CSR conditions. Even though the CSR 0.45 curve has a slightly lower fitting degree, it still falls within the high fitting degree range, further confirming the applicability of the fitting model.
Impact of CSR: Different CSR conditions lead to variations in fitting parameters e and f, indicating significant effects of CSR on the rate of cumulative strain and initial strain amount. With increasing CSR, the rate of cumulative strain increases, suggesting that under higher CSR conditions, the material undergoes greater deformation.
The high accuracy of the linear model with high fitting degrees allows for more precise prediction of cumulative strain behavior of materials under long–term cyclic loading conditions under different CSR conditions. This holds significant implications for assessing the performance of silty clay. In practical engineering applications, understanding the strain characteristics of silty clay under different CSR conditions can assist engineers in better predicting the performance of silty clay over extended periods, thereby enabling more rational design and selection decisions.
In conclusion, this study reveals the linear relationship between cumulative strain and number of loading cycles under different CSR conditions through fitting analysis of strain curves. The high accuracy of fitting Eq. (5) validates its applicability, providing a reliable theoretical basis for predicting strain behavior of silty clay under complex stress environments.
Table 4
The linear fitting parameters for different CSR values.
CSR | e | f | R2 |
0.3 | 3.32621 ± 0.01497 | 2.16119E-4 ± 2.27483E-6 | 0.99801 |
0.4 | 5.09748 ± 0.04461 | 4.15707E-4 ± 6.73733E-6 | 0.99607 |
0.45 | 9.41171 ± 0.22293 | 4.10381E-4 ± 3.43928E-5 | 0.90990 |