Dynamic Monitoring of the Standard Penetration of PHC Tubular Piles and Analysis of the Construction Effect Based on Monocular Visual Digital Photography
Abstract
:1. Introduction
2. Monocular Visual Digital Photography
2.1. Digital Close-Range Photogrammetry Technology
2.2. Image-Forming Principle and Calibration of the Camera
- (1)
- A black-and-white checkerboard was designed. Pictures of the checkerboard were taken using smartphones at different postures, from different distances (Figure 2). A group of pictures was taken, and the poor-quality ones were eliminated. Finally, the calibration results were obtained, as shown in Table 1.
- (2)
- The calibration results were compared with the results of the MATLAB Camera Calibrator, and they had only slight differences. Moreover, the mean reprojection error of the PDMS was smaller than 0.5 pixels.
2.3. Cooperative Transform Shifting Parallax Method
3. Dynamic Monitoring Test of the Standard Penetration of Large-Diameter Tubular Piles and the Relevant Construction Effect
3.1. Dynamic Monitoring Test of Standard Penetration of Large-Diameter Tubular Piles
3.2. Field Tests on the Construction Effect of Large-Diameter Tubular Piles
3.3. Indoor Tests on the Construction Effect of Large-Diameter Tubular Piles
4. Data Processing and Analysis
4.1. Standard Penetration Data Analysis of Large-Diameter Tubular Piles
4.2. Field Monitoring Data Analysis of the Construction Effect of Large-Diameter Tubular Piles
4.3. Plugging Effect Analysis of Large-Diameter Tubular Piles
4.4. Squeezing Effect Analysis of Large-Diameter Tubular Piles
5. Conclusions
- (1)
- When large-diameter tubular piles penetrate from the loose stratum to aleurite and then to silt, the relationship between the penetration and time function (blow counts) evolves as a piecewise function. This, which is a logarithmic function in the early stage, a gently sloping linear function in the middle stage, and a sharply sloping linear function in the late stage. The penetration rates vary significantly under different strata conditions.
- (2)
- According to the measurement data regarding pile deviation, the squeezing effect increases and then weakens during adjacent pile construction and pile-jumping construction. The maximum squeezing effect is observed as the adjacent pile is penetrated by about 20 m or the jumping pile is penetrated by about 10 m. The monitored pile is influenced greatly by the construction of adjacent piles, similar to the results of the pile-jumping construction method.
- (3)
- The plugging effect can be divided into three stages: the formation of a soil plug, increases in the frictional force between the soil plug and pile wall, and closure. In the first stage, it is manifested as a convex arch. In the second stage, the soil plug gradually changes from a convex arch to a concave arch. In the third stage, the soil plug is closed completely. Such engineering characteristics are similar to those of closed-ended piles.
- (4)
- The horizontal and longitudinal spheres of influence of surrounding soil masses expand gradually with increases in the penetration depth of tubular piles. More specifically, vertical influences are significantly greater than horizontal influences. The contour lines the of vertical and horizontal spheres of influence form a rectangular distribution.
- (5)
- When the plugging effect of a tube is closed, a horizontal squeezing effect of the surrounding piles of soil mass is developed. The horizontal sphere of influence expands, including the shear failure zone, radial compression zone, and hemispherical expansion zone. Among them, the radial compression zone is expanded to the point where it is nine times the pile diameter away from the pile axis, and the hemispherical expansion zone extends to the depth where it is 1.5 times the pile length.
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Acknowledgments
Conflicts of Interest
References
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Calibration Method | PDMS | MATLAB | |
---|---|---|---|
Camera internal parameters | 3095.729583 | 3115.151478 | |
3081.980675 | 3101.594706 | ||
1979.634456 | 1990.049731 | ||
1510.257453 | 1513.00499 | ||
Average re projection error | Mean error in Pixel | 0.2256 | 0.3800 |
Deformation parameters | 0.286489 | 0.342840 | |
−1.464689 | −1.956038 | ||
−0.000442 | 0.000571 | ||
−0.000537 | −0.000147 | ||
2.365860 | 3.615712 |
Geologic Age | Strata No. | Bottom Elevation (m) | Bottom Depth (m) | Thickness of Strata (m) | Description of Strata |
---|---|---|---|---|---|
Q4 al+pl | 1 | 15.5 | 0.5 | 0.5 | Plain fill: isabelline, loose, slightly humid, silt as the major component, with few plant roots. |
Q4 al+pl | 2 | 8.9 | 7.1 | 6.6 | Silt: isabelline, slightly compact, slightly humid, uniform ingredients, high sand content. |
Q4 al+pl | 3 | −1.2 | 17.2 | 10.1 | Silty clay: yellow, 14.1–14.5 M. cinereus, plastic, locally thin silt strata, occasional iron and manganese oxides, moderate dry strength, moderate tenacity, smooth cutting surface. |
Q4 al+pl | 4 | −3.2 | 19.2 | 2 | Aleurite: isabelline, moderately compact, saturated, quartz and feldspar as major components, relatively pure arenaceous, good sorting performance, poor grading. |
Q4 al+pl | 5 | −7.6 | 23.6 | 4.4 | Silt: isabelline, compact, humid, thin layer with small clay soil content, moderate dry strength, poor tenacity. |
Q3 al+pl | 6 | −10.1 | 26.1 | 2.5 | Aleurite: isabelline, compact, saturated, quartz and feldspar as major components, relatively pure arenaceous, good sorting performances, poor grading. |
Q3 al+pl | 7 | −26.1 | 42.1 | 16 | Fine sand: isabelline, compact, saturated, quartz and feldspar as major components, relatively pure arenaceous, good sorting, poor grading. |
Q3 al+pl | 8 | −34 | 50 | 7.9 | Silt: brown, compact, humid, thin layer with small clay soil content, looks like multi-layer steamed bread, stinking smell, moderate dry strength, poor tenacity. |
Blow Counts | Pile 1 Blow Test | Pile 2 Blow Test | ||||
---|---|---|---|---|---|---|
1-Point 0 | 1-Point 1 | 1-Point 2 | 2-Point 0 | 2-Point 1 | 2-Point 2 | |
1 | 0 | 0.73 | 0.73 | 0.99 | 0 | 0 |
2 | 0 | 0 | 0.73 | 0.99 | 0 | 0 |
3 | 0 | 0 | 0.73 | 0.49 | 0 | 0 |
4 | −0.73 | 0 | 0.73 | 0.99 | 0 | 0 |
5 | −0.73 | 0.73 | 0 | 0.49 | −0.49 | 0 |
6 | 0 | 0 | 0.73 | 0.49 | 0 | 0 |
7 | −0.73 | 0 | 0 | 0.99 | 0 | −0.49 |
8 | −0.73 | 0.73 | 0 | 0.99 | 0 | 0 |
9 | 0 | 0 | 0.73 | 0.99 | 0 | 0 |
10 | 0 | 0 | 0.73 | 0.49 | 0 | 0 |
11 | 0 | 0 | 0.73 | 0.99 | −0.49 | 0 |
12 | 0 | 0 | 0.73 | 0.49 | 0 | 0 |
MSE | 0.42 | 0.37 | 0.63 | 0.82 | 0.20 | 0.14 |
Hit Times | Displacement/m | Hit Times | Displacement/m | Hit Times | Displacement/m |
---|---|---|---|---|---|
1 | 0.099 | 42 | 6.190 | 83 | 8.801 |
2 | 0.157 | 43 | 6.323 | 84 | 8.883 |
3 | 0.267 | 44 | 6.433 | 85 | 8.921 |
4 | 0.314 | 45 | 6.430 | 86 | 8.922 |
5 | 0.388 | 46 | 6.605 | 87 | 8.960 |
6 | 0.460 | 47 | 6.626 | 88 | 8.997 |
7 | 0.596 | 48 | 6.885 | 89 | 9.046 |
8 | 0.605 | 49 | 6.948 | 90 | 9.084 |
9 | 0.704 | 50 | 6.977 | 91 | 9.124 |
10 | 0.832 | 51 | 7.100 | 92 | 9.220 |
11 | 0.883 | 52 | 7.159 | 93 | 9.257 |
12 | 0.940 | 53 | 7.190 | 94 | 9.287 |
13 | 1.310 | 54 | 7.317 | 95 | 9.327 |
14 | 1.505 | 55 | 7.372 | 96 | 9.364 |
15 | 1.622 | 56 | 7.398 | 97 | 9.403 |
16 | 1.786 | 57 | 7.488 | 98 | 9.408 |
17 | 1.937 | 58 | 7.551 | 99 | 9.507 |
18 | 1.993 | 59 | 7.604 | 100 | 9.523 |
19 | 2.364 | 60 | 7.692 | 101 | 9.548 |
20 | 2.595 | 61 | 7.737 | 102 | 9.605 |
21 | 2.780 | 62 | 7.786 | 103 | 9.593 |
22 | 2.978 | 63 | 7.851 | 104 | 9.671 |
23 | 3.073 | 64 | 7.900 | 105 | 9.663 |
24 | 3.519 | 65 | 7.962 | 106 | 9.705 |
25 | 3.790 | 66 | 8.016 | 107 | 9.782 |
26 | 3.986 | 67 | 8.027 | 108 | 9.819 |
27 | 4.113 | 68 | 8.081 | 109 | 9.868 |
28 | 4.149 | 69 | 8.135 | 110 | 9.911 |
29 | 4.658 | 70 | 8.244 | 111 | 9.931 |
30 | 4.655 | 71 | 8.301 | 112 | 9.978 |
31 | 4.763 | 72 | 8.308 | 113 | 10.007 |
32 | 4.877 | 73 | 8.353 | 114 | 10.051 |
33 | 4.997 | 74 | 8.409 | 115 | 10.079 |
34 | 5.045 | 75 | 8.442 | 116 | 10.118 |
35 | 5.143 | 76 | 8.466 | 117 | 10.186 |
36 | 5.187 | 77 | 8.552 | 118 | 10.191 |
37 | 5.455 | 78 | 8.631 | ⋮ | ⋮ |
38 | 5.617 | 79 | 8.672 | ⋮ | ⋮ |
39 | 5.736 | 80 | 8.708 | 151 | 11.507 |
40 | 5.833 | 81 | 8.781 | 152 | 11.541 |
41 | 5.914 | 82 | 8.791 | 153 | 11.535 |
Pipe Pile Number | Displacement in N Direction/mm | Displacement in E Direction/mm | Displacement in H Direction/mm | |||
---|---|---|---|---|---|---|
Construction of A-5 | Construction of A-4 | Construction of A-5 | Construction of A-4 | Construction of A-5 | Construction of A-4 | |
1 | −3.0 | −0.6 | 6.4 | −6.4 | 1.2 | 0.4 |
2 | −8.2 | −1.2 | 15.2 | −5.0 | 2.0 | 0.2 |
3 | −8.4 | −3.2 | 14.2 | −4.6 | 2.4 | 0.8 |
4 | −6.6 | −2.8 | 14.6 | −3.4 | 0.2 | 1.6 |
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Zhang, G.; Liu, Z.; Xiong, W.; Zhang, S.; Liu, S.; Wang, Z.; Wang, Y. Dynamic Monitoring of the Standard Penetration of PHC Tubular Piles and Analysis of the Construction Effect Based on Monocular Visual Digital Photography. Appl. Sci. 2022, 12, 11468. https://doi.org/10.3390/app122211468
Zhang G, Liu Z, Xiong W, Zhang S, Liu S, Wang Z, Wang Y. Dynamic Monitoring of the Standard Penetration of PHC Tubular Piles and Analysis of the Construction Effect Based on Monocular Visual Digital Photography. Applied Sciences. 2022; 12(22):11468. https://doi.org/10.3390/app122211468
Chicago/Turabian StyleZhang, Guojian, Zhiyong Liu, Wei Xiong, Sifeng Zhang, Shengzhen Liu, Zhiwei Wang, and Yushuai Wang. 2022. "Dynamic Monitoring of the Standard Penetration of PHC Tubular Piles and Analysis of the Construction Effect Based on Monocular Visual Digital Photography" Applied Sciences 12, no. 22: 11468. https://doi.org/10.3390/app122211468
APA StyleZhang, G., Liu, Z., Xiong, W., Zhang, S., Liu, S., Wang, Z., & Wang, Y. (2022). Dynamic Monitoring of the Standard Penetration of PHC Tubular Piles and Analysis of the Construction Effect Based on Monocular Visual Digital Photography. Applied Sciences, 12(22), 11468. https://doi.org/10.3390/app122211468