Viscoelastic Parameter Prediction of Multi-Layered Coarse-Grained Soil with Consideration of Interface-Layer Effect
Abstract
:1. Introduction
2. Viscoelastic Parameter Model of the Multi-Layered CGS
2.1. Structure Model of the Multi-Layered CGS
2.2. Viscoelastic Parameter Model of One-Layered CGS
2.3. Viscoelastic Parameter Model of the Interface-Layer
2.4. Viscoelastic Parameter Formulae of the Multi-Layered CGS
3. Viscoelastic Parameter Prediction of the Multi-Layered CGS
3.1. Measuring Viscoelastic Parameters of the Sand–Clay Matrix
3.2. Predicting Viscoelastic Parameters of Multi-Layered CGS
- Calculate the elastic modulus (ET, superscript T means Laplace space) of the sand–clay matrix by the elastic–viscoelastic correspondence principle as Equation (19).
- Calculate the equivalent elastic modulus (Ks, Es) of the solid phase (pebble, sand–clay matrix) by Equations (1) and (4).
- Calculate the equivalent elastic modulus (Ko, Eo) of the one-layered CGS by Equations (6) and (7).
- Calculate the equivalent elastic modulus (Ki, Ei) of the interface-layers by Equations (10)–(12).
- Calculate the equivalent elastic modulus (E) of the multi-layered CGS by Equation (15).
- Calculate the equivalent viscoelastic parameters (J) of the multi-layered CGS by Equation (16). and elastic–viscoelastic correspondence principle, as listed in Table 4.
4. Experimental Verification
4.1. Triaxial Creep Test
4.2. Test Results and Analyses
4.2.1. Creep Curve of One-Layered CGS
4.2.2. Viscoelastic Parameter–Time Curves of Interface-Layer
4.2.3. Creep Curve of Two-Layered CGS
4.2.4. Creep Curve of Three-Layered CGS
4.2.5. Comparing the Creep Curves of Two-Layered and Three-Layered CGS
5. Conclusions
- (1)
- The interface-layer of viscoelasticity and the actual shape of large-particle inclusion were firstly considered and a new interface-layer method was proposed to predict viscoelastic parameters of multi-layered CGS based on homogenization method and elastic–viscoelastic corresponding principle. The tested creep curves of the multi-layered CGS agreed well with the predicted ones and can prove the existence of the interface-layer and verify the validity of this new method.
- (2)
- For the one-layered CGS, the creep deformation decreased as the shape factor (ρ) of pebble inclusion increased and ρ was in the range of 1–1.8.
- (3)
- The viscoelastic parameters of the interface-layer were smaller than the average values of one-layered CGS which consisted of the interface-layer.
- (4)
- For the two-layered CGS, the creep deformation decreased with the increase of the interface-layer height (h) and the suitable interface-layer height was 20–30% as much as the height of one-layered CGS.
- (5)
- For the three-layered CGS, the creep deformation decreased with the increase of the interface-layer number (N) and at least one interface-layer must be taken into account.
- (6)
- For the safety point of view, it is better to use a high degree of irregular pebble and a large difference in gradation of CGS and more layer numbers to reduce the creep deformation of multi-layered coarse-grained soil. Construction costs should be taken into account in design of pavement or embankment.
Author Contributions
Funding
Acknowledgments
Conflicts of Interest
References
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No. | Sand | Clay |
---|---|---|
M1 | 1 | 0.30 |
M2 | 1 | 0.75 |
M3 | 1 | 1.33 |
No. | E1/MPa | E2/MPa | η1/MPa·min | η2/MPa·min | R2 |
---|---|---|---|---|---|
M1 | 30.88 | 93.91 | 10041.67 | 2101.36 | 0.986 |
M2 | 23.87 | 48.19 | 4805.48 | 182.57 | 0.991 |
M3 | 16.02 | 22.76 | 4243.88 | 179.89 | 0.990 |
No. | Mass Ratio of Pebble to Sand–Clay Martix | Volume Fraction of Pebble (p0) | Volume Fraction of Sand–Clay Martix (p3) |
---|---|---|---|
L1 | 1:1.30 | 38.9% | 41.1% |
L2 | 1:1.75 | 26.6% | 53.4% |
L3 | 1:2.33 | 15.7% | 64.3% |
Layer Combination | E1/MPa | E2/MPa | η1/MPa·min | η2/MPa·min | |
---|---|---|---|---|---|
One-layered CGS (Jo) | L1 | 58.82 | 166.67 | 19999.97 | 3703.70 |
L2 | 30.30 | 62.50 | 5000.05 | 236.71 | |
L3 | 14.93 | 21.27 | 3999.91 | 167.53 | |
Interface Layer (Ji) | L1/L2 | 46.24 | 149.21 | 12774.95 | 2176.75 |
L2/L3 | 18.89 | 19.14 | 4999.13 | 656.87 | |
L1/L3 | 43.36 | 20.60 | 4368.95 | 87.73 | |
Two-layered CGS | L1 + L1/L2 + L2 | 39.30 | 104.07 | 7465.34 | 284.53 |
L2 + L2/L3 + L3 | 19.82 | 32.54 | 4401.50 | 218.38 | |
L1 + L1/L3 + L3 | 23.67 | 38.83 | 6412.82 | 333.94 | |
Three-layered CGS | L1+ L1/L2 + L2 + L2/L3 + L3 | 26.41 | 48.72 | 5755.77 | 324.54 |
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Zhang, J.; Rao, Q.; Yi, W. Viscoelastic Parameter Prediction of Multi-Layered Coarse-Grained Soil with Consideration of Interface-Layer Effect. Appl. Sci. 2020, 10, 8879. https://doi.org/10.3390/app10248879
Zhang J, Rao Q, Yi W. Viscoelastic Parameter Prediction of Multi-Layered Coarse-Grained Soil with Consideration of Interface-Layer Effect. Applied Sciences. 2020; 10(24):8879. https://doi.org/10.3390/app10248879
Chicago/Turabian StyleZhang, Jie, Qiuhua Rao, and Wei Yi. 2020. "Viscoelastic Parameter Prediction of Multi-Layered Coarse-Grained Soil with Consideration of Interface-Layer Effect" Applied Sciences 10, no. 24: 8879. https://doi.org/10.3390/app10248879
APA StyleZhang, J., Rao, Q., & Yi, W. (2020). Viscoelastic Parameter Prediction of Multi-Layered Coarse-Grained Soil with Consideration of Interface-Layer Effect. Applied Sciences, 10(24), 8879. https://doi.org/10.3390/app10248879