Potential of Computer-Aided Engineering in the Design of Ground-Improvement Technologies
Abstract
:1. Introduction
2. CAE_MPS Method
2.1. Computer-Aided Engineering (CAE)
2.2. Particle Methods and Moving Particle Semi-Implicit (MPS) Method
3. Outline of Middle-Pressure Jet-Grouting Method
4. Methodology
4.1. Ground Modelling
4.2. Analysis Conditions
4.3. Material Parameters
4.4. Setting Probe Region and Boundaries
5. Results and Discussion
5.1. Validation of Analytical Ground Model
5.2. Reproduction of Development Situation of Columnar Soil-Improved Body
5.3. Computation of Mud Discharge Quantity
6. Conclusions
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Conflicts of Interest
References
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Target Material | Ground | |
---|---|---|
Ground Model Dimension | 2 m ø | 1.5 m Height |
Jet materials | Water *1 | Cement slurry *2 |
Spraying time | 20 s | 58 s |
Penetration length while blanking (m) | 0.5 | 0 *2 |
Penetration length while improving soil (m) | 0.5 | 0.5 |
Jet amount (L/min) | 80 | 90 |
Jet pressure (MPa) | 9.4 | 18.0 |
Jet velocity (m/s) | 137.5 | 155.0 |
Penetration velocity while blanking (m/min) | 3.0 | - |
Penetration velocity while improving soil (m/min) | 3.0 | - |
Lifting velocity while improving soil (m/min) | - | 0.52 *2 |
Rotation speed (rpm) | 20 *1 | 20 |
Material | Density (kg/m3) | w/c | Yield Value (Pa) | Plastic Viscosity (Pa·s) | Yield Parameter (-) | Surface Tension (N/m) | Fluid Model |
---|---|---|---|---|---|---|---|
Water | 1000 | - | - | - | - | 0.10 | Newtonian fluid |
Cement slurry | 1500 | 1.0 | 10 | 0.28 | 0.0001 | 0.10 | Bingham fluid |
Ground | 1600 | - | 60000 | 17000 | 0.0001 | 0.002 | Bingham fluid |
Time after the Start of Construction (s) | 20 | 30 | 40 | 50 | 60 | 78 | |
---|---|---|---|---|---|---|---|
Number of particles for probe diameter of 1.8 m | Cement grout | 0 | 0 | 0 | 0 | 0 | 0 |
Ground | 64 | 168 | 462 | 591 | 596 | 859 | |
Water | 5 | 4 | 0 | 4 | 5 | 5 | |
Number of particles number for probe diameter of 1.6 m | Cement grout | 0 | 0 | 0 | 0 | 0 | 0 |
Ground | 209 | 320 | 532 | 533 | 538 | 892 | |
Water | 4 | 4 | 3 | 4 | 4 | 4 | |
Number of particles for probe diameter of 1.4 m | Cement grout | 0 | 0 | 0 | 0 | 0 | 0 |
Ground | 364 | 440 | 466 | 466 | 498 | 878 | |
Water | 8 | 7 | 6 | 8 | 8 | 8 |
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Shakya, S.; Inazumi, S.; Nontananandh, S. Potential of Computer-Aided Engineering in the Design of Ground-Improvement Technologies. Appl. Sci. 2022, 12, 9675. https://doi.org/10.3390/app12199675
Shakya S, Inazumi S, Nontananandh S. Potential of Computer-Aided Engineering in the Design of Ground-Improvement Technologies. Applied Sciences. 2022; 12(19):9675. https://doi.org/10.3390/app12199675
Chicago/Turabian StyleShakya, Sudip, Shinya Inazumi, and Supakij Nontananandh. 2022. "Potential of Computer-Aided Engineering in the Design of Ground-Improvement Technologies" Applied Sciences 12, no. 19: 9675. https://doi.org/10.3390/app12199675