Submitted:
06 January 2025
Posted:
07 January 2025
You are already at the latest version
Abstract
Keywords:
1. Introduction
2. Test Scheme
2.1. Project Information and Soft Soil Foundation Treatment Scheme
2.2. Scheme Design
2.3. Test Material
2.4. Data Acquisition Equipment and Test Process
- (1)
- Natural consolidation simulation: The soft soil was remolded, weighed and filled into the large model box, compacted equably. After the subgrade model was put into the centrifuge, the centrifuge kept operating until the thickness of the soft foundation reached the predetermined height. It can be considered that the soft soil model had the same degree of consolidation as the site. Then took out the model and simulated the embankment filling.
- (2)
- Settlement during the existing operation period: For control test, the model box was put into the centrifuge, and 2.5 h × 12 groups tests were operated under the acceleration of 70 g. The pore water pressure data was recorded through acquisition device during the operation and the settlement data after each operation was recorded. Additionally, after the 12 operations (simulated the operation period of 19 years), the settlement of the middle line of the embankment was recorded as the controlled condition, which is the start of the three foundation treatment method tests.
- (3)
- Settlement prediction: For three foundation treatment method tests, the pipes and piles were pre-buried into the soft soil foundation model or embankment. The whole model was put into the centrifuge and kept operating. Until the settlement reached the recorded controlled condition, the formal test started and 2.5 h × 4 groups tests were operated. For control test, it continued operation for the subsequent 2.5 h × 4 groups tests.
3. Results Analysis
3.1. Analysis of the Control Test
- Pore water pressure rising stage: This stage is mostly the first four years of the simulation period. In this stage, the pore water pressures rise rapidly, together with the high speed of the consolidation, and the cumulative settlements of soil are the fastest. In the first four years, the pore water pressures rise to the peak, and the cumulative settlements recorded by the laser displacement transducer are the largest at this stage.
- Pore water pressure falling stage: The falling trends of pore water pressure in this stage are obviously different from that in the later stage of the curve. Because the pore water pressures are higher in the previous stage, at this time, its dissipation rate and consolidation rate are both faster. The data of DT1 ‒ DT4, which are within the embankment range, show that the settlement developing rates are slower than that of the first stage, but they are still obviously different from the later stage. The key point is, in the duration of this stage, the developing trends of settlement and pore water pressure vary with the measuring point of the subgrade.
- 3.
- Pore water pressure gentle stage: In this stage, the development trends of pore water pressure are gentle, and most of them keep falling. The settlements of soft soil gradually tend to be slow, but there are no obvious convergence trends.
3.2. Analysis of the Load Reducing Pipe Method Test
3.3. Analysis of the Jet Grouting Pile Method Test
3.4. Analysis of the Lateral Displacement Limiting Pile Method Test
4. Error Analysis and Scheme Comparison
4.1. Error Analysis
- The soil layer simulated by the experiment is thinner. The centrifugal acceleration of the model test is set as 70 g, which can take the soft soil layer of 28 m into consideration. However, the average thickness of the soft soil layer is not less than 30 m, and the silt clay layer is below it, whose settlement cannot be ignored. Therefore, taking this test scheme, the thickness of soft soil is thinner than that of practical project, which will lead to the small settlement measured by this test scheme.
- Boundary constraint effect. Under the of gravity load of embankment and traffic load, the soft soil has both vertical settlement and lateral deformation, and the boundary of the model box will limit the lateral deformation to a certain extent, resulting in a decrease in vertical settlement.
- Boundary friction effect. There is friction between the box and the soil, which will decrease the settlement. Though this effect can be weakened by applying lubricants such as Vaseline, but it still cannot be ignored
- Foundation filling effect. Due to the high moisture content of the simulated soft soil, there will be some voids in the artificial filling process, which will lead to the failure to restore the degree of consolidation of the natural soft soil layer, resulting in a slightly larger settlement.
4.2. Treatment Method Comparison
5. Conclusion
- Considering the thickness of simulated soft soil foundation, boundary friction effect, box boundary constraint effect and filling effect, the settlement recorded is lower than actual. However, the differences showing in the recorded pore water pressure and settlement between the various treatment methods in the test are obvious enough to support the comparison of the schemes.
- The high value of pore water pressure corresponds to the rapid development of settlement. The settlement simulated by the control test in 24 years developed rapidly in the first 3 ‒ 4 years, and mainly occurred in the existing operation period of 19 years, up to 96.7 %. However, at the end of the test, the pore water pressure remained to decrease, and the settlement curve did not converge. If not treated, a large subsequent settlement would occur. And there is a large settlement difference in its natural state, which also needs to be considered.
- The three treatment methods can effectively decrease the development of settlement. The settlements after treated by LRP, JGP and LDLP method in the 5 years are reduced by 32.79%, 38.04% and 41.45% respectively compared with that without treatment. In addition, the settlement curves of JGP and LDLP method have a convergence trend.
- The characteristics of the three methods are as follows: the LRP method has a good effect on reducing the settlement within the embankment range within 5 years of simulation, but the curve of the settlement difference is rising rapidly, and the subsequent settlement development has no obvious convergence trend. The LDLP method can best reduce the settlement within the embankment range, which is mainly manifested in hindering the horizontal dissipation of pore water and the lateral extrusion of soft soil. The JGP method can directly strengthen the integrity of the embankment, enhancing the synergistic deformation ability and reducing the settlement difference.
Author Contributions
Funding
Data Availability Statement
Conflicts of Interest
References
- He, J.; Luo, S.; Li, W.; Kang, D.; Zuo, Z. Capillary water absorption and strength of solidified marine soft soil. Construction and Building Materials 2024, 423, 135729. [Google Scholar] [CrossRef]
- Feng, S.; Lei, H. A settlement prediction model considering tidal loading and traffic loading of soft soil subgrade. Computers and Geotechnics 2022, 144, 104639. [Google Scholar] [CrossRef]
- Jiao, W.; Zhou, D.; Wang, Y. Effects of Clay Content on Pore Structure Characteristics of Marine Soft Soil. Water 2021, 13, 1160. [Google Scholar] [CrossRef]
- Zhou, Y.; Han, W.; Su, D.; Chen, X. Study of the Nonuniform Consolidation Characteristics of Soft Soils Using a Novel Model. Buildings 2023, 13, 3104. [Google Scholar] [CrossRef]
- Chai, J.; Zhou, Y. Method for Considering the Effect of Nonuniform Consolidation. American Society of Civil Engineers 2018, 18, 04017151. [Google Scholar] [CrossRef]
- Zhou, C.; Yu, L.; Huang, Z.; Liu, Z.; Zhang, L. Analysis of microstructure and spatially dependent permeability of soft soil during consolidation deformation. Soils and Foundations 2021, 61, 708–733. [Google Scholar] [CrossRef]
- Zheng, J.; Hu, X.; Gao, S.; Wu, L.; Yao, S.; Dai, M.; Wang, J. Undrained cyclic behavior of under-consolidated soft marine clay with different degrees of consolidation. Marine Georesources & Geotechnology 2022, 42, 176–183. [Google Scholar] [CrossRef]
- Xiao, W.; Wu, K.; Xu, W.; Liu, Y.; Lu, H.; Chen, R. Experiment and analysis on dynamic characteristics of marine soft clay. Marine Georesources & Geotechnology 2024, May, 1–21. [CrossRef]
- Wang, Z.; Wang, W.; Peng, H.; Ha, J. Mechanical characteristic test of structural marine soft clay under complex stress paths. Journal of Railway Science and Engineering 2023, 20, 2868–2877. https://link.cnki.net/doi/10.19713/j.cnki.43-1423/u.t20221667.
- Wu, T.; Jin, H.; Guo, L.; Sun, H.; Tong, J.; Jiang, Y.; Wei, P. Predicting method on settlement of soft subgrade soil caused by traffic loading involving principal stress rotation and loading frequency. Soil Dynamics and Earthquake Engineering 2022, 152, 107023. [Google Scholar] [CrossRef]
- Wang, C.; Xie, L.; Liu, Z.; Wu, M.; Zhang, T.; Cai, G.; Liu, S. Study on settlement deformation law of new and old subgrade of expressway reconstruction and expansion based on CPTU. Transportation Geotechnics 2024, 49, 101392. [Google Scholar] [CrossRef]
- Wu, C.; Zhang, D.; Xia, H.; Luo, J.; Huang, H.; Qin, D. Embankment deformation characteristics analysis of an expressway widening project near a pond. Sci Rep 2023, 13, 717. [Google Scholar] [CrossRef]
- Arul, A.; Mohammadjavad, Y.; Mahdi, M.D.; Suksun, H.; Myint, W.B.; Melvyn, L. Evaluation of fly ash- and slag-based geopolymers for the improvement of a soft marine clay by deep soil mixing. Soils and Foundations 2018, 58, 1358–1370. [Google Scholar] [CrossRef]
- Said, K.N.M.; Rashid, A.S.A.; Osouli, A.; Latifi, N.; Yunus, N.Z.M.; Ganiyu, A.A.; Adekunle, G.A. Settlement Evaluation of Soft Soil Improved by Floating Soil Cement Column. International Journal of Geomechanics 2019, 19, 04018183. [Google Scholar] [CrossRef]
- Wang, M.; Yang, J.; Wu, Y.; Lu, Y. Rapid predictive method for the deterioration depth of cement solidified marine soft soil. Soils and Foundations 2024, 64, 101494. [Google Scholar] [CrossRef]
- Wong, R.K.N.; Weng, Y.F.; Leong, G.K.; Cheng, S.H. A Case Study of Effectiveness of Large Diameter Jet Grout for Soil Improvement Works in Soft Marine Clay. Lecture Notes in Civil Engineering 2020, 62, 649–655. [Google Scholar] [CrossRef]
- Wang, Z.; Xu, W.; Xu, Q.; Wang, Y.; Zhu, Y. Research on Temperature Field of Cement-Mixing Pile-Reinforced Soft Soil Foundation. Buildings 2024, 14, 845. [Google Scholar] [CrossRef]
- Zhang, Q.; Zhang, X.; Zhou, S.; Zhang, K.; Chen, F. Effect and evaluation model of adjacent pile construction on high-speed railway piers in soft soils. Structures 2024, 70, 107687. [Google Scholar] [CrossRef]
- Wang, T.; Liu, X.; Liu, L.; Xiong, W.; Li, Z. Research on the Reinforcement Effect and Bearing Characteristics of High-Pressure Jet-Grouting Piles on Covered Road Composite Ground in Landfill Sites. Buildings 2024, 14, 444. [Google Scholar] [CrossRef]
- Wang, S.; Yin, H.; Duan, Q.; Wang, H.; Li, Q.; Li, Z. Experimental study on vertical bearing mechanism of jet grouting jacked steel composite piles in low-clearance environments [OL]. Chinese Journal of Geotechnical Engineering. https://link.cnki.net/urlid/32.1124.TU.20240923.1548.004.
- Xie, W.; Zhang, Q.; Zhu, W. Numerical investigation on the effect of repeated surface surcharge loading on soil deformation and tunnel displacement in structured soft clay. Soil Dynamics and Earthquake Engineering 2024, 181, 108657. [Google Scholar] [CrossRef]
- Pandey, B.K.; Rajesh, S.; Chandra, S. Numerical Analysis of Soft Soil Reinforced with Geogrid Encased Stone Column. Lecture Notes in Civil Engineering 2022, 195, 65–72. [Google Scholar] [CrossRef]
- Cao, F.; Ye, C.; Wu, Z.; Zhao, Z.; Sun, H. Settlement Calculation of Semi-Rigid Pile Composite Foundation on Ultra-Soft Soil under Embankment Load. Buildings 2024, 14, 1954. [Google Scholar] [CrossRef]
- Lee, H.; Kim, S.-J.; Kang, B.-H.; Lee, K.-S. Long-Term Settlement Prediction of Ground Reinforcement Foundation Using a Deep Cement Mixing Method in Reclaimed Land. Buildings 2022, 12, 1279. [Google Scholar] [CrossRef]
- Cui, K.; Yang, W. Prediction Soft Soil Settling Using a Combination Method. Xinan Jiaotong Daxue Xuebao/Journal of Southwest Jiaotong University 2017, 52, 926–934. [Google Scholar] [CrossRef]
- Bao, X.; Li, J.; Shen, J.; Chen, X.; Zhang, C.; Cui, H. Comprehensive multivariate joint distribution model for marine soft soil based on the vine copula. Computers and Geotechnics 2025, 177, 106814. [Google Scholar] [CrossRef]
- Chen, T.; Zhang, G. Centrifuge modeling of pile-supported embankment on soft soil base for highway widening. Soils and Foundations 2024, 64, 101422. [Google Scholar] [CrossRef]
- Liu, H.; Luo, Q.; EI Naggar, M.H.; Zhang, L.; Wang, T. Centrifuge Modeling of Stability of Embankment on Soft Soil Improved by Rigid Columns. Journal of Geotechnical and Geoenvironmental Engineering 2023, 149, 04023069. [Google Scholar] [CrossRef]
- Chen, S.; Guan, Y.; Dai, J. Behaviour of anchored sheet pile quay stabilized with deep cement mixing columns in soft soil: Centrifuge and numerical modelling. Computers and Geotechnics 2023, 160, 105504. [Google Scholar] [CrossRef]
- Hu, J.; Weng, X.; Yang, L.; Lei, S.; Niu, H. Centrifugal modeling test on failure characteristics of soil-rock mixture slope under rainfall. Engineering Failure Analysis 2022, 142, 106775. [Google Scholar] [CrossRef]
- Shojaeian, A.; Sivakumaran, S.; Muraleetharan, K.K. Nonlinear Seismic Response Analysis of Pile Foundations Interacting with Improved and Unimproved Soft Clay. Journal of Geotechnical and Geoenvironmental Engineering 2024, 150, 04024106. [Google Scholar] [CrossRef]
- Jiang, Y.; Li, S.; He, N.; Xu, B.; Fan, W. Centrifuge Modeling Investigation of Geosynthetic-Reinforced and Pile-Supported Embankments. International Journal of Geomechanics 2024, 24, 04024147. [Google Scholar] [CrossRef]
- Fisonga, M.; Hu, Y.; Han, S.; Deng, Y.; Kaunda, R.B. Numerical-geostatistical-based approach to investigate the earth pressure evolution within the large grid wall foundation under adjacent surcharge loading. Computers and Geotechnics 2024, 167, 106056. [Google Scholar] [CrossRef]
- Shan, Y.; Luo, J.; Wang, B.; Zhou, S.; Zhang, B. Critical application zone of the jet grouting piles in ‘the vicinity of existing high-speed railway bridge in deep soft soils with medium sensibility. Soils and Foundations 2024, 64, 101407. [Google Scholar] [CrossRef]
- Xu, Y.; Zhang, J.; Liu, Z.; Cui, P. Calculation model for settlement of soft soil foundation with continuous drainage boundary considering the Hansbo’s flow law and the linear load. Environ Earth Sci 2024, 83, 579. [Google Scholar] [CrossRef]
- Shu, X.; Wang, Z.; Peng, Y.; Zhou, Z.; Tian, Y. A novel elasto-viscoplastic constitutive model for predicting the embankment settlement on soft structured clay. Computers and Geotechnics 2024, 167, 106093. [Google Scholar] [CrossRef]
- Zhang, N.; Li, B.; Wang, T.; Jiang, J.; Wang, H. Centrifugal model tests on stability of embankment on soft soil foundation. Chinese Journal of Geotechnical Engineering 2023, 45, 222–225. [Google Scholar] [CrossRef]










| Physical quantity | Acceleration of gravity g (m/s²) | Displacement s (m) | Geometrical dimension L (m) | Soil density ρ (kg/m3) | Speed v (m/s) | Mass m (kg) |
| Similarity ratio | 70 | 1/70 | 1/70 | 1 | 1 | 1/703 |
| Physical quantity | Moisture content w (%) | Consolidation time t (s) | Permeability coefficient k (cm/s) | Water conservancy i (pa/m) | Stress σ (pa) | Strain ε |
| Similarity ratio | 1 | 1/702 | 70 | 1 | 1 | 1 |
| Similarity ratio | Model thickness (Embankment + Foundation) (cm)/ Simulated thickness (Embankment + Foundation) (m) | operating mode (h) | Embankment soil quality m (kg) | Foundation soft soil quality m (kg) |
| 70 | 6 + 40 / 4.2 + 28 | 2.5 × (12 + 4) | 13.381 | 162.88 |
| Soil layer | Density ρ (g/cm3) | Moisture content w (%) | plastic limit wP (%) | liquid limit wL (%) | initial void ratio e0 | Permeability coefficient k (cm/s) | Thickness d (m) |
| 1 | 1.84 | 35.2 | 24.2 | 46.2 | 1.011 | 5.3×10-8 | 2 |
| 2 | 1.60 | 66.1 | 26.4 | 53.9 | 1.863 | 1.2×10-7 | 14 |
| 3 | 1.62 | 62.4 | 28.0 | 56.3 | 1.767 | 1.1×10-7 | 15 |
| 4 | 1.73 | 45.2 | 26.3 | 51.4 | 1.308 | 1.3×10-7 | 12 |
| 5 | 1.72 | 48.8 | 26.4 | 51.8 | 1.381 | 1.2×10-7 | 14.5 |
| year | Settlement of DT1 s1 (m) | Settlement of DT2 s2 (m) | Settlement of DT3 s3 (m) | Settlement of DT4 s4 (m) | Settlement of DT5 s5 (m) |
| 19 | 2.088 | 2.034 | 1.879 | 1.618 | 0.985 |
| 24 | 1.996 | 1.953 | 1.825 | 1.582 | 0.970 |
| method | Settlement of DT1 s1 (m) | Settlement of DT2 s2 (m) | Settlement of DT3 s3 (m) | Settlement of DT4 s4 (m) | Settlement of DT5 s5 (m) |
| Control test without treatment | 0.092 | 0.081 | 0.054 | 0.036 | 0.015 |
| Load reducing pipe method test | 0.053 | 0.043 | 0.040 | 0.030 | 0.013 |
| Settlement reduction percentage | 42.3% | 45.7% | 25.9% | 16.7% | 13.3% |
| method | Settlement of DT1 s1 (m) | Settlement of DT2 s2 (m) | Settlement of DT3 s3 (m) | Settlement of DT4 s4 (m) | Settlement of DT5 s5 (m) |
| Control test without treatment | 0.092 | 0.081 | 0.054 | 0.036 | 0.015 |
| Jet grouting pipe method test | 0.048 | 0.043 | 0.036 | 0.028 | 0.011 |
| Settlement reduction percentage | 47.8% | 46.9% | 33.3% | 22.2% | 26.7% |
| method | Settlement of DT1 s1 (m) | Settlement of DT2 s2 (m) | Settlement of DT3 s3 (m) | Settlement of DT4 s4 (m) | Settlement of DT5 s5 (m) |
| Control test without treatment | 0.092 | 0.081 | 0.054 | 0.036 | 0.015 |
| lateral displacement limiting pile method | 0.051 | 0.045 | 0.030 | 0.025 | 0.013 |
| Settlement reduction percentage | 44.6% | 44.4% | 44.4% | 25.0% | 13.3% |
| Measuring Points |
Average reduction rates of pore water pressure (%) | ||||||||
|---|---|---|---|---|---|---|---|---|---|
| WP1 | WP2 | WP3 | WP4 | WP5 | WP6 | WP7 | WP8 | WP9 | |
| WT | 4.080 | 2.414 | 1.643 | -0.015 | 3.887 | 2.041 | 5.380 | 4.122 | 3.232 |
| LRP | 4.198 | 2.228 | 0.899 | 0.940 | 3.205 | 0.101 | 2.546 | 2.539 | 1.992 |
| JGP | 3.027 | 3.153 | 1.165 | 0.607 | 3.271 | -0.199 | 2.346 | 1.736 | 1.991 |
| LDLP | 5.708 | 0.553 | 3.432 | 0.540 | -0.129 | 2.401 | 2.480 | 1.739 | 1.992 |
Disclaimer/Publisher’s Note: The statements, opinions and data contained in all publications are solely those of the individual author(s) and contributor(s) and not of MDPI and/or the editor(s). MDPI and/or the editor(s) disclaim responsibility for any injury to people or property resulting from any ideas, methods, instructions or products referred to in the content. |
© 2025 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).