Research Article | Open Access
Zhijun Zhou, Shanshan Zhu, Xiang Kong, Jiangtao Lei, Tong Liu, "Optimization Analysis of Settlement Parameters for Postgrouting Piles in Loess Area of Shaanxi, China", Advances in Civil Engineering, vol. 2019, Article ID 7085104, 16 pages, 2019. https://doi.org/10.1155/2019/7085104
Optimization Analysis of Settlement Parameters for Postgrouting Piles in Loess Area of Shaanxi, China
The settlement calculation of postgrouting piles is complex and depends on the calculation method and parameters. Static load tests were conducted to compare the settlement characteristics of nongrouting and postgrouting piles, and three vital parameters in the layer-wise summation method were revised to predict the settlement of postgrouting piles. The elastic compression coefficient was deduced based on the Mindlin–Geddes method by considering the influence of the change in the pile side resistance distribution and end resistance ratio on the elastic compression after grouting. The relationship between the compression modulus and soil gravity stress and cone penetration resistance were established, respectively, using experimental data. The optimum value of the settlement empirical coefficient was determined using regional data. Finally, we used the postgrouting pile of the Wuqi–Dingbian expressway as a practical example. The results obtained from the layer-wise summation method after parametric optimization were close to the measured values. The results of this study provide reference data and guidance for the settlement calculation of postgrouting piles in this area.
Loess is widely distributed worldwide and accounts for about 1/10 of the global land area . The Loess Plateau in northwestern China is the most extensive loess accumulation area in the world and represents 72.4% of China’s loess area. In 2013, the state put forward the strategic conception of the “New Silk Road Economic Belt”; a large part of this area belongs to the Loess region, which results in new opportunities and challenges for infrastructure construction in the Loess area . The settlement of superstructures is especially a concern for bridges that require high design accuracy for the foundation design. However, the nonuniform compressibility of loess often results in significant pile settlement [3–5]. As a means of increasing the bearing capacity and reducing the settlement of pile foundations, the postgrouting technique has become a popular method for cast-in-place pile foundation construction [6–13]. However, research on the settlement of postgrouting piles is relatively limited although the settlement is a key factor in pile design. Therefore, in this study, we investigate the postgrouting technique for pile foundation construction to predict the settlement of postgrouting piles in loess areas.
In past decades, many methods have been used to calculate the settlement of piles, such as the theoretical load-transfer method [14–16], the elastic theory method [17, 18], the shearing deformation method , numerical computation methods [20–25], and the layer-wise summation method . Some scholars have investigated the adaptability of the postgrouting technique in different bearing strata and the factors influencing the settlement and deformation [9, 27]. Other scholars have considered the soil parameters and proposed an iterative solution for a single pile after studying the interaction between the slurry and soil; a settlement calculation method was put forward based on the shearing deformation and the theoretical load-transfer methods [28–30]. Many scholars have used numerical procedures to simulate postgrouting piles to determine the bearing capacity and settlement characteristics; the results showed that the simulated values were in good agreement with the measured values .
Although the abovementioned methods can predict the settlement of postgrouting piles, these methods have the disadvantage of poor applicability due to the complexity of the soil after grouting. Therefore, although research on piles settlement using the layer-wise summation method is relatively limited, it is actually the simplest and most practical method. For example, the settlement calculation method described in the latest edition of the Chinese Technical Code for Building Pile Foundations  is based on layer-wise summation method, making it the most widely used method in engineering design calculation. However, the values of the calculation parameters are not given in this code because there are regional differences in the parameters for the settlement of postgrouting piles. In this study, the layer-wise summation method is used. We conduct a static load test, indoor test, and static cone penetration test on the Wuqi–Dingbian expressway and determine the optimum values of three parameters affected by postgrouting. Finally, we compare the results obtained from the layer-wise summation method after parametric optimization with the measured values; a good agreement is obtained. The results of this study provide data and guidance for the settlement calculation of postgrouting piles in the loess area of northern Shaanxi in China.
2. Site Condition and Test Methods
2.1. Site Condition
The Wuqi–Dingbian expressway (Figure 1), which crosses Wuqi County and Dingbian County in China, is a key project of Shaanxi Province construction began in 2015. The route starts from Zoumatai in the east of Wuqi County and ends at Shijingzi in the southeast of Dingbian County; the expressway has a length of 92.217 km. The study area is located in the middle point of this route. The abutments on both sides of the bridge are located in the loess hill region (the loess hill region refers to the geomorphology resulting from loess erosion © Baidu Encyclopedia).
A geological survey and drilling indicated no surface water and groundwater at the drilling depth. The upper soil layer is loessial loess with a thickness of 1.8 m, and all below 1.8 m are old loess. The bottoms of the piles are located in the deep old loess layer. To ensure the safety and stability of the structure, the piles have to be tested.
2.2. Test Methods
The test consisted of indoor and field tests. The indoor tests included a moisture content test (Figure 2(a)), a compression test (Figure 2(b)), a direct shear test (Figure 2(c)), and an unconfined compressive strength test (Figure 2(d)). The field tests included a static cone penetration test (Figure 2(e)) and a static load test (Figure 4(b)). The moisture content of the soil samples was determined from the moisture content test, the void ratio and coefficient of compressibility were obtained from the compression test, the cohesion and internal friction angle were obtained from the direct shear test, and the unconfined compressive strength was obtained from the unconfined compressive strength test; the indoor test results are shown in Table 1.
In the field test, TS1 was the nongrouting pile and TS2 was the postgrouting pile. The length of the test piles and anchor piles were 25 m and 30 m, respectively, and they had the same diameter of 1.5 m. The test piles were 1.5 m above the ground to conduct the static load test. The pile body and the aboveground part consisted of C30 and C40 concrete, respectively.
The installation process of the test pile was as follows: (1) a rotary drilling method with high bearing capacity was used to excavate the pile hole. The location of the pile was determined, and the drilling rig (Figure 3(a)) was moved into position. (2) The initial drilling speed should not be too fast, i.e., no more than 2 m/h, and the subsequent speed should be no more than 3 m/h. The technical operating regulations  should be strictly observed during the drilling process. (3) The first hole cleaning was carried out when the drilling reached the desired depth, rotary drill bit (Figure 3(b)) sweeps several laps in situ to clean sediment at pile bottom. A plumb bob was placed into the hole to measure the sediment thickness of the two test piles after the hole cleaning; the values were 37 mm and 22 mm, respectively, and met the requirements of being less than 50 mm. (4) Finished rolled threaded reinforcing bars with a diameter of 25 mm were welded onto a steel reinforcement cage (Figure 3(c)), and the reinforcement ratio was 0.44%; 21 strain gauges (Figure 3(d)) were evenly attached to the steel reinforcement cage at 7 locations (Figure 4(a)) for each pile, and the steel reinforcement cage was placed into the hole . (5) Due to sand and stone precipitation in the mud and the slurry falling into the hole by rubbing against the hole wall when the steel reinforcement cage and the pipe (Figure 3(e)) were inserted, a second hole cleaning was conducted by using the pipe before grouting; the thickness of the sediment below the hole was measured. The sediment thicknesses of the two piles were 33 mm and 41 mm, respectively, which was in agreement with the code  that specifies less than 50 mm. There was little difference in the sediment thickness; therefore, the bearing capacity of the pile foundation was only slightly affected. (6) The overgrouting height was 1.0 m, and finally the floating slurry on the top of the pile is removed and the pile body is maintained. (7) Installed grouting equipment (Figure 3(f)) after concrete strength of TS2 pile reaches 75%. The slurry density of the water-cement ratio of 0.4 is 1700 kg/m3. The equation for determining the grouting quantity is provided in the code :where Gc is the quantity of grout, ap is the grouting coefficient, and d is the diameter of the pile. According to the characteristics of the bearing stratum at the pile end, the reference value of the grouting coefficient ap in the reference code  is 2.1 and the diameter of TS2 is 1.5 m; therefore, the estimated grouting quantity is 3.15 t and the grouting rate is less than 75 L/min. The grouting stopped when the grouting quantity reached 3.15 t; at this time, the grouting pressure reached 4.0 MPa. The distributions of soil and the spacing of stress gauges (Figure 3(d)) along the pile shaft are shown in Figure 4(a).
In the static load test, an anchor pile beam counterforce device was used (Figure 4(b)); the load was applied in increments using eight identical hydraulic jacks (Figure 4(b), (i)) at the top of the pile. The loading-unloading method was based on the Chinese Technical Code for Testing of Building Foundation Piles (JGJ106-2014) . The magnitude of the first load step was double that of the subsequent load steps. The first load step was 2000 kN, and the load increment was 1000 kN. Each load increment was maintained after loading until two consecutive displacements during one hour were less than 0.1 mm and occurred twice continuously .
3. Static Load Test Results and Calculation Process
3.1. Settlement Calculation
The settlement of the pile head was calculated by using the average of 4 automatic displacement acquisition instruments (Figure 4(b), (ii)) installed at the pile head after each loading step was completed. The settlement of two piles measured under various loads is shown in Table 2, among which s1, s2, s3, and s4 are the automatic acquisition instruments installed on pile TS1, s5, s6, s7, and s8 are the automatic acquisition instruments installed on pile TS2, is the average of settlement under a certain load level. The settlement of two piles under each loading step is shown in Figure 5.
3.2. Axial Force of Pile Body Calculation
Axial force of the pile body is converted from the frequency of stress gauges on steel cage. The pile end resistance was approximately equal to the axial force calculated by using the lowest level stress gauge. The calculation process is as follows. According to the conversion formula of the stress gauges, the axial force of the steel bars can be obtained:where Nsi is the axial force of the steel bars, i is the number of stress gauges, 1∼7 from top to bottom. K is the calibration coefficient; fi0 is the initial frequency of stress gauges, each stress gauge has an initial frequency fi0 when it leaves the factory; and fi is the frequency produced by using the sensor in the stress gauges under axial force. B is the calculated correction value, which is 0 in this paper. So the strain of steel bar is as follows:where εsi is the strain of the steel bar; Es is the elastic modulus of the steel bar, and Es of steel bar in this test is 200 GPa; and As is the section area of steel bar, which is 0.0004909 m2 in this test. Since the reinforcement ratio is only 0.44%, assuming that the same strain of concrete and steel bars in the same section as the stress gauge, the axial force of the pile body in section i is as follows:where Qni is the axial force of the pile body under stage load n and εsi is the strain of concrete, Ec is the elastic modulus of concrete, which is 30 GPa in this test. Ac is the section area of concrete; is the average value of εsi. For example, when calculating the axial force of the pile TS2 under 3000 kN, the results are shown in Table 3. And the axial force diagrams of TS1 and TS2 are shown in Figure 6.
3.3. Frictional Resistance Calculation
Frictional resistance along each pile was calculated by dividing the difference of two consecutive axial forces by the pile shaft area between the two stress gauges [27, 35], and side friction strength can be calculated by the following formula:where qi is the side friction strength along the pile shaft, d is the diameter of the pile, and hi is the height between adjacent sections. For example, the frictional resistance strength of TS2 pile under various loads is shown in Table 4. And the frictional resistance strength diagrams of TS1 and TS2 are shown in Figure 7.
4. Layer-Wise Summation Method
The total pile head displacement includes the compression of the foundation soil and the elastic compression of the pile body ; the compression of the foundation soil is calculated using the one-way layer summation method. The formulas are as follows:where Aps is the cross section of the piles, Esi is the compression modulus of layer i of the soil, and E is the elastic modulus of the pile body. The reinforcement portion is low and the reinforcement ratio is only 0.44%; therefore, the elastic modulus of concrete can be used for the pile body elastic modulus in general. The Code for Design of Concrete Structures (GB50010-2010)  was used; therefore, Ec of the C30 concrete is 30 GPa. l is the length of the pile, n is the number of soil layers, Q is the pile top load, s is the total pile head displacement, se is the elastic compression of the pile body, is the thickness of layer i of the soil, σzi is the additional stress in layer i of the soil calculated by the Mindlin–Geddes method, and ξe is the elastic compression coefficient of the pile body. The end-bearing pile ξe is 1.0. The friction pile ξe is 0.667 when l/d ≤ 30, ξe is 0.5 when l/d ≥ 50; a linear interpolation between the two is used; ψ is the settlement empirical coefficient, which is 1 when there are no regional data.
Mindlin  proposed an analytical solution of the additional stress generated by the force at a point in the interior of a semiinfinite solid. Based on Mindlin’s study, Geddes  deduced the formula for calculating the additional stress of a single pile for three kinds of pile side resistance distributions. Geddes’ method divides the pile top load (Figure 8(a)) into three parts: one is the axial force (Figure 8(b)) transmitted along the pile body to the pile end; the other is the rectangular part (Figure 8(c)) of the pile side friction diagram after the pile side friction distribution diagram is split into rectangular and triangular parts; and the third is the triangular part (Figure 8(d)) of the pile side friction diagram. The outstanding advantage of Geddes’ method is that it unifies the problem of pile-soil interaction with the concept of additional stress in the layer-wise summation method which is widely used in China. The load-sharing diagram of piles is shown in Figure 8.
Considering the influence of the pile diameter on the Mindlin solution, the additional stress at a calculation point is calculated as follows :where Ipi, Isri, and Isti are the vertical stress coefficients of any point in the soil under pile end load, load shared by rectangular-shaped friction resistance, and load shared by triangular-shaped friction resistance, respectively; this was determined based on the data in Appendix F of the code . σzpi is the additional stress caused by the pile end resistance at the calculation point; σzsri and σzsti are the additional stress at the calculation point when the pile side resistance is rectangular- or triangular-shaped, respectively; and α is the pile end resistance ratio, which is the average of the ratio of the axial force at the pile end to the top load of the pile under different loads in the axial force diagram of the pile. β is the side resistance ratio, which is the ratio of the area of the rectangular part to the top load of the pile in the diagram of the side resistance distribution.
In equations (6)–(11), Aps, E, l, and are assumed at the design stage; α and β are obtained from the pile testing data; and σzi is calculated using equations (8)–(11). The crucial parameters ξe, Esi, and ψ in the layer-wise summation method depend on the complexity of the soil and are commonly established using regional data; therefore, these three parameters will be optimized using the Wuqi–Dingbian expressway test data.
5. Parameters Calculation and Optimization
In this test, the pile head settlement of the nongrouting pile TS1 was calculated using the layer-wise summation method. However, when this method is used to calculate the settlement of the postgrouting pile TS2, the values of ξe, Esi, and ψ need to be optimized separately as follows.
5.1. Modified Elastic Compression Coefficient
The pile body compression accounts for a large proportion of the total settlement of pile, so the pile body compression is very important in calculating the settlement of pile . During the calculation, different end resistance ratios and side resistance distributions will affect the elastic compression of the pile body . Especially after grouting, the elastic compression coefficient changes due to changes in the side resistance distribution and the end resistance ratio. However, the specific values given in the code  do not take into account the effect of postgrouting. Therefore, the elastic compression se(y) of the postgrouting pile needs to be recalculated, and this paper proposes a method to clarify the elastic compression coefficient using the Mindlin–Geddes method. And the calculation model of pile compression is shown in Figure 9.
Assuming that Q0 is the pile head load and qs(y) is the side resistance at a given depth y, the axial force Qy at depth y can be defined using the following equation:
Assuming that the elastic compression of the pile is linearly elastic, the unit elastic compression dse of the dy segment at depth y can be described as
By integrating (13), the elastic compression of the pile body above depth y is obtained:
Therefore, the elastic compression se of the whole pile is defined as
Axial force and side resistance of pile TS2 under different loads obtained from field test are shown in Figures 6(b) and 7(b). α is the average ratio of pile end load to pile head load under the same load. β is the ratio of the area of the rectangular part to the pile head load in the diagram of side resistance distribution. The shape of the side resistance distribution is similar to a trapezoid; thus, based on the Mindlin–Geddes method, this paper only considered the case when qs(y) is a trapezoid. The formula Qb = αQ0 can be obtained by assuming α is the end resistance ratio and Qb is the pile end load. And assuming that the pile head side resistance is m, the ratio of pile head side resistance to pile bottom side resistance is 1 : n, so the pile end side resistance is nm, as shown in Figure 7(b). The side resistance of the whole pile can be written as
The value of m is derived from (16):
Figure 7(b) shows that the linear expression of qs(y) is
In order to remain consistent with in the code , a modified compression coefficient is proposed in this study; therefore, se can be written as
Therefore, the relationship between and α can be defined by the following equation:
5.2. Changes in the End Resistance Ratio and Pile Diameter
5.2.1. Change in the End Resistance Ratio
The cement slurry exerts functions on the loess soil at the bottom of the pile at the same time during grouting, including penetration, compaction, and cleavage, especially compaction and cleavage. The loose soil or cracks are cemented to a cement mixture with certain strength by penetration, compaction, and cleavage as the cement slurry is applied under pressure, which effectively improves the end resistance and increases the end resistance ratio . In order to determine the change in α after grouting, the end resistance of the piles TS1 and TS2 under different loads is determined, as shown in Figure 10(a). It can be seen that the load transferred from the top of the pile to the pile end is significantly larger for TS2 (postgrouting) than for TS1 (nongrouting) under the same load, that is, α is increased.
The ratio of the increase in the end resistance ratio of pile TS2 to that of pile TS1 under different loads is expressed as the improvement coefficient of the end resistance ratio ε, which is expressed in percentage. We compared our results with those of postgrouting tests carried out in two other projects in this region with the same soil layers and the same piles and measured using the same test method by the engineering staff. The statistical results are shown in Figure 10(b). It can be seen that α is higher after grouting in most cases; that is, the load transferred to the pile end is higher and the coefficient ε is in the range of 40∼120%; therefore, the average value of 80% is used for the calculation.
The ratio of the TS1 pile end resistance to the pile top load is about 0.2 (Figure 10(a)), that is, α is 0.2; therefore TS1 is the friction pile and l/d < 30; the corresponding ξe determined based on the code  is 0.667. It can be seen from Figure 7(b) that 1 : n is about 1 : 2 and α after grouting is calculated as 0.36 by multiplying 0.2 and 1.8; therefore, is 0.716 according to equation (22). The elastic compression coefficient is higher after the revision, indicating a higher compression of the pile body.
5.2.2. Change in the Pile Diameter
Due to the high grouting pressure at the pile end and the low permeability of the foundation soil, part of the serous fluid moves upward in the gap between the pile body and the soil surrounding the pile, forming a layer of cement slurry around the pile . In this study, the Mindlin solution, which considers the influence of the pile diameter, is used to calculate the additional stress; therefore, the stress coefficient changes with the change in the pile diameter, which affects the calculation results . Therefore, the change in the pile diameter has to be revised.
Taking pile TS2 as an example, mud spillover (Figure 11(a)) occurred at the top of the pile during the last stage of grouting. The soil was excavated along the pile body after grouting, and a vertical cement shell (Figure 11(b)) was found around the pile. Therefore, it was assumed that the cement slurry between the soil and the pile interface seeped to the top of the pile along the pile/soil interface. The vertical distance between the cement shell and the pile body was measured at two locations at four different depths along the pile. The statistical results are shown in Table 5. For simplified calculation, an average value of 1575 mm was taken as the diameter of the pile after grouting. Therefore, the diameter of the pile TS2 after grouting was 1.05 times larger than that of the pile before grouting, as shown in Figure 11(c).
5.2.3. Compression Modulus
The compression modulus is a vital parameter when using the layer-wise summation method to calculate the settlement of the foundation soil. In most cases, the settlement of the foundation soil is only calculated by using the compression modulus Es,1-2 measured in the pressure range of 100 kPa∼200 kPa. However, the level of gravity stress and additional stress far exceeds 200 kPa in practical applications; therefore, the influence of gravity stress on the compression modulus should be considered when calculating the settlement .
Drilling was conducted in five engineering areas on the Wuqi–Dingbian expressway, and the soil was sampled during the test. Five core samples were obtained, and their unit weights γi (i is the serial numbers of the soil samples, i = 1∼5) were measured indoors. The depth zj (j is the serial number of the calculation point from top to bottom, j = 1∼5) of the calculation point of the soil sample at P1 = 200 kPa, P2 = 300 kPa, P3 = 400 kPa, P4 = 500 kPa, and P5 = 600 kPa is calculated, respectively, by γi using the formula zj = Pj/γ. The calculation results are shown in Figure 12.
The compression test was applied to the five core samples to obtain Es,z and Es,1-2 of the soil samples at 25 positions. The reliability of the linear model that was used to describe the relationship between the ratio of Es,z and Es,1-2 and P is assessed, as shown in Figure 13(a). This linear relationship can be described using the following equations:where h is the soil depth, P is the soil gravity stress, and γ is the unit weight of the soil.
Equation (25) is highly reliable (R2 > 0.91). Assuming that γ = 18.5 kN/m3, as can be seen from equation (25), Es,z is about equal to Es,1-2 when h = 10 m. Therefore, Es,z within 10 m can take Es,1-2, but when the depth is more than 10 m, Es,z continues to increase with the increase in P. As shown in Figure 13(a), Es,z is already two times larger than Es,1-2 when P = 380 kPa; therefore, the values of Es,1-2 are no longer suitable. Therefore, Es,z within the range of compression can be calculated by using equation (25).
In addition, the double bridge cone penetration test was performed near the drilling points in the five engineering areas. Another method for calculating Es,z is obtained by analyzing the relationship between the cone resistance qc measured at the same depth as the 25 positions and Es,z, as shown in Figure 13(b).
The resulting expression for qc and Es,z is given by the following equation:
Equation (26) is highly reliable (R2 > 0.87); therefore, there is a significant correlation between qc and Es,z. In order to verify the rationality of equation (26), the values of Es,z obtained from the abovementioned two methods were compared to ensure that they were consistent with the result in Figure 14. Therefore, Es,z at any depth can be calculated using the two methods (equations (25) and (26)) when calculating the settlement in the loess area of northern Shaanxi, China.
The fitted equations (25) and (26) can be used on the one hand to revise Es,z obtained from the compression test so that an accurate value of Es,z of the loess in this area can be obtained; on the other hand, the workload associated with field investigations and indoor compression tests are reduced, resulting in time and cost savings.
Zhou et al.  found that the soil around the grouting point was continuously compressed and the porosity gradually decreased during the grouting process, resulting in the change in Es,z. The compression of the soil was most apparent in the range of 0.5 m around the grouting point. Therefore, the compression modulus improvement coefficient ϕ is introduced to revise Es,z at the end of the postgrouting pile.
In order to study the compression modulus improvement coefficient ϕ of soil around the grouting point, formula P = γh can be used to calculate the soil gravity stress P in the range of 1 m at pile tip, in which γ is 18.5 g/cm3 and h are 24.5 m, 24.75 m, 25 m, 25.25 m, 25.5 m, 25.75 m, 26 m, 26.25 m, and 26.5 m, respectively. Therefore, the soil gravity stress P at different depths near the grouting point are 43.33 MPa, 45.79 MPa, 46.25 MPa, 46.71 MPa, 47.18 MPa, 47.64 MPa, 48.1 MPa, 48.56 MPa, and 49.03 MPa. Then, Es,z can be calculated according to formula (24). We compared Es,z calculated by P with the measured value of Es,z after grouting; the reference value of ϕ in this area is given in Table 6 after inverse calculation. The modified compression modulus of the soil layers can be obtained by multiplying the compression modulus of the soil layers obtained from the abovementioned two methods and the corresponding improvement coefficient. The formula is written as follows:
5.3. Settlement Empirical Coefficient
The settlement empirical coefficient ψ in equation (6) is a vital parameter for calculating the pile settlement using the layer-wise summation method. The accuracy of the settlement empirical coefficient is very important because it is a correction coefficient. It was stated in the latest pile foundation code  that the settlement empirical coefficient should be 1.0 when there are no regional data. There will be a large discrepancy between the calculation results and measured results of the pile settlement when 1.0 is used directly without considering the influence of the regional soil properties. In this test, the soil layer is divided into two layers. 1.8 m below the ground is loessial loess and the depth of old loess in the lower layer is more than 50 m. Because the thickness of loessial loess is relatively small compared with that of old loess, the soil layer can be simplified to a single old loess layer. Therefore, the appropriate settlement empirical coefficients in this area were obtained by comparing the settlement calculation results with the measured results for different settlement empirical coefficients.
Equations (6)–(11), (22), (24), and (27) are used to calculate the settlement of TS1 for the settlement empirical coefficient ψ values of 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, and 0.9. The results are shown in Figure 15.
In order to determine the ultimate bearing capacity of TS1 pile, P∼S curve and log P∼log S curve are shown in Figure 16, and three methods for determining the vertical ultimate bearing capacity are presented as follows: (1) the corresponding load of the point where the P∼S curve (Figure 16(a)) falls sharply can be regarded as the vertical ultimate bearing capacity of the TS1 pile. (2) The load corresponding to the most obvious turning point in log P∼log S curve (Figure 16(b)) is selected as the ultimate bearing capacity of the TS1 pile. (3) Under a certain level of load, the settlement of the pile top is five times larger than that under the former level of load. The value of the former level of load is taken as the ultimate bearing capacity of the pile. The settlement under 10000 kN load is about five times that under 9000 kN load. Therefore by using the above three methods, the bearing capacity of the TS1 pile is 9000 kN.
A comparison of the measured values and calculated values of the pile settlement for different empirical coefficients under various loads indicates that when the settlement of TS1 pile reaches its ultimate bearing capacity of 9000 kN, the measured curve is close to the curve when the settlement empirical coefficient ψ is 0.3; therefore, ψ should be 0.4 to meet the requirements of safety and economy.
6. Example Calculation
We use the pile TS2 as an example and calculate the settlement of the postgrouting pile using the layer-wise summation method after parametric optimization. The pile diameter is 1.05 times larger than the original pile diameter, which is 1.575 m, due to the upward seepage of the slurry. The distribution pattern of the pile side resistance is trapezoid-shaped, and the ratio of the side resistance of the pile top and pile bottom is 1 : 2. α after grouting is 0.36, β is 0.43, is 0.716, and ψ is 0.4.
The compression of the pile body is
The total pile head settlement at 9000 kN is calculated as
The total settlement for all loads after grouting is obtained using the abovementioned method and is compared with the calculated settlement without considering the grouting effect and the actual settlement (Figure 17).
As shown in Figure 17, the actual settlement of the TS2 pile is 8.7 mm when the pile reaches the ultimate bearing capacity of 14000 kN. The calculated settlement considering the grouting effect and without considering the grouting effect is 12.3 mm and 14.2 mm, respectively. Therefore, it can be concluded as follows: (1) the calculated settlement is less when the postgrouting effect is considered; therefore, the postgrouting method at the pile end reduces the amount of settlement. (2) The actual settlement prior to destruction is less than the calculated settlement and the actual settlement is close to the calculated value when considering the grouting effect; this indicates that the optimized parameters are reasonable and feasible. Therefore, the postgrouting pile of the same bearing layer in a given area can be calculated using the proposed method.
In this study, static load tests were conducted to compare the settlement characteristics of nongrouting and postgrouting piles and the layer-wise summation method was used after optimizing three parameters to predict the settlement of the postgrouting piles. The key findings include(1)The pile side resistance of the postgrouting pile is approximately trapezoidal according to the field test data. Therefore, the elastic compression coefficient of the pile body is deduced based on the Mindlin–Geddes method, and the relationship between the elastic compression coefficient and the end resistance ratio is obtained.(2)By establishing the relationship between the compression modulus and the gravity stress, as well as the static cone resistance, two methods for calculating the compression modulus in this area are obtained.(3)The end resistance ratio and pile diameter after grouting can be improved according to the test data. The statistical analysis results indicate that the end resistance ratio improvement coefficient is 0.8 and The diameter of piles after grouting is 1.05 times that of nongrouting piles. A comparison of the calculated settlement with the actual settlement for different settlement empirical coefficients under various loads indicates that the settlement empirical coefficient in this area is 0.4.(4)The results obtained from the layer-wise summation method after parametric optimization are basically consistent with the measured values for the postgrouting pile example in this project.
The data used to support the findings of this study are available from the corresponding author upon request.
Conflicts of Interest
The authors declare that there are no conflicts of interest regarding the publication of this paper.
This research was funded by the National Key R&D Program of China (no. 2018YFC0808606) and the Project on Social Development of Shaanxi Provincial Science (no. 2018SF-382).
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