Abstract

The in-service strength test of underground space strata is a hot issue in geotechnical engineering. In this study, we conducted mechanical analyses on the soil and the cutting bit involved in a rotary drilling process, which revealed the key factors influencing drilling. This allowed us to establish theoretical relationships among torque, propulsion, and soil strength parameters (i.e., unconfined compressive strength, shear strength, and cohesion). Moreover, with consideration of the effects of water content and geostatic stresses, we used an independently developed rotary drilling system with a 3D flexible boundary loading device to conduct 75 rotary drilling model indoor tests on silty clay in 15 groups. Based on the test results, we simplified the theoretical relationships and determined model parameters to obtain 15 quantitative relationships with 5 different water contents (4.8%, 9.7%, 14.8%, 19.6%, and 24.9%). Finally, through field application, we verified the quantitative relationships and we discussed their scope of application. The results showed it is feasible to predict the soil in-service strength based on rotary drilling parameters. Under the premise that water content is considered, the drilling parameters were found correlated linearly (correlation coefficients are all greater than 0.85) with strength parameters. In field application, absolute errors between the prediction and investigation results were less than 5%, satisfying engineering requirements.

1. Introduction

The in-serve strength of the strata refers to the effective strength that the underground rock and soil can provide during the operation of the underground structure. Currently, methods for testing soil in-serve strength include cone penetration tests, drop penetration tests, plate load tests, pressuremeter tests, and vane shear tests, from which strength parameters such as bearing capacity, shear strength, cohesion, and angle of internal friction can be obtained [1]. In addition, the combined drilling core indoor test, which is another important method used for evaluation of in situ soil strength, has been applied widely in real engineering projects. Its advantage lies in its capacity to provide the most direct and accurate information for determining the soil type and extracting stratigraphic characteristics, allowing the acquisition of various physical and mechanical parameters that serve as reference for in situ strength evaluation. Therefore, conducting soil strength parameter testing during the drilling process is of great interest because it would reduce the workload associated with the indoor test, while retaining the aforementioned advantage of core drilling.

Establishing relationships between the physical and mechanical parameters of soils and MWD (measurement-while-drilling) parameters could effectively resolve the problem caused by the separation of the core drilling and indoor test. The rapid development in recent years of the MWD technique has been marked by many achievements in terms of theory, experiment, and field application. Theoretical drilling mechanics models have been developed for various drill bits, including roller bits, impact bits, cutting bits, and polycrystalline diamond compact bits [28]. Experimentally, the relationships among drilling parameters (e.g., torque, propulsion, revolution speed, and penetration rate) have been studied [911], while the relationships between drilling parameters and rock physics as well as mechanical parameters (i.e., stiffness, cohesion force, shear strength, and density) have been revealed [1215]. In terms of field applications, evaluations of rock grades, investigations of rock rupture regions, and evaluations of the drillability of rock and rock-like materials have been conducted [1622]. However, previous studies have focused mostly on rock MWD responses, whereas research on MWD soil tests is still lacking.

This paper presents a theoretical model suitable for soil rotary drilling with an analysis of the key factors affecting the performance of the cutting bit when drilling into the soil. Using silty clay widely available from the Beijing area (China) as an example case, we used an independently developed the rotary drilling system with a 3D flexible boundary loading device to conduct rotary drilling model tests under different water contents and conditions. Based on the derived experimental results, we established quantitative relationships for torque and propulsion with unconfined compressive strength (UCS), shear strength, and cohesion. We verified these relationships in field applications and we ascertained their scope of application.

2. Rotary Drilling Mechanics Model

2.1. Force Analysis on Soil during Shearing Process

Based on the working process of the cutting bit on the soil [13, 23], we constructed a cutting model, as shown in Figure 1. To analyze the stress distribution on the shear plane, we assumed the soil as a wedge with its top corner as angle , and we simplified the uniform load as a point load and an equivalent couple M () acting on the top corner of the wedge.

We set the origin at the top corner of the wedge, using the wedge symmetry axis as the X axis in an orthogonal coordinate system or as the polar axis in a polar coordinate system, where in the anticlockwise direction is positive. We defined the inclination angle as , cutting depth as h, angle between the shear plane and cutting plane as , angle between point load and the wedge symmetry axis as , angle between point load and the normal vector of the inclined plane as , and friction coefficient between the tooth face and the soil shear plane as (where and ). Hence, the stress on the wedge could be calculated as follows:

We rotated the original coordinate system XOY in the clockwise direction by angle , such that in the newly obtained coordinate system , the axis is perpendicular and the axis is parallel to the shear plane. We then transformed the stress components in equation (1) to those in the coordinate system. With and , the stress components in the polar coordinate system can be transformed to those in the orthogonal coordinate system.

On the contact plane between the drill bit and the soil, both normal pressure and friction are at work. Assuming the internal friction angle is , normal pressure is distributed evenly and the resultant force is . Thus, the reaction force from the soil is and the shear reaction force is T2, with the shear plane at angle from the cutting plane, as shown in Figure 2.

It is assumed the stress on the shear plane satisfies the Mohr–Coulomb yield criterion, and the soil ruptures or yields when . Under the limit of equilibrium, the force equilibrium equations on the shear plane are

Substituting into equation (2), we have

Since ,where is the cutting depth, is the cutting tooth width, is cohesion, and is the internal friction angle. Substituting equation (4) into equation (2) gives

Equation (5) calculates the cutting force on the soil during the drilling process, where and are associated with the drill bit shape, while , , , and are parameters associated with the rock properties.

2.2. Force Analysis on Drill Bit Tooth

Forces acting on a single drill tooth include propulsion from the drill rod, cutting force , resistance from the soil to cutting Fl, anti-incision force F2, and frictional resistance F3 on the tooth wear surface, where Fl and drill force acting on the soil constitute a pair of action and reaction forces [7]. The force diagram of a drill tooth is shown in Figure 3.

Hence,

Here, F2 is the normal pressure from the drill tooth acting on the soil and calculated bywhere the maximum stress , is a parameter dependent on the geometric shape of the drill tooth and the friction on the contact surface, is the compressive strength of the soil, and is the frictional length of the cutting edge. Thus, F2 is correlated with the stress distribution on the frictional surface.

The frictional coefficient between the cutting blade and the soil is ; therefore, . The force balance equations on the drill bit are

As the drill bit is under pressure from the porous soil, the normal pressure and frictional torque M1 are distributed on its surface [24]. If we assume the frictional coefficient between the porous soil and the drill bit surface is , we havewhere R is the radius of the drill bit and s is the contact surface area between a single tooth and the porous soil.

Forces acting on the drill bit include propulsion Fn and torque Mn. Because the drill bit comprises three cutting blades, the balance equations for the drill bit arewhere is the equivalent radius of the drill bit. From equation (10), we can conclude that Fn and Mn are correlated with the soil properties and drill bit parameters. When given the soil type, key physical parameters, geometric parameters of the drill bit and rod, and drilling speed as well as drilling rod revolution speed, conducting an indoor test allows us to obtain the quantitative relationship between torque, propulsion, and soil strength parameters [25].

3. Material and Method

3.1. Material Characterization

We selected a soil sample at a certain foundation pit for the test, according to the geotechnical test standards in ASTM [26]. The obtained soil sample had natural water content of 18.4%, dry density of 1.83 , liquid limit of 25.7%, plastic limit of 14.5%, porosity of 0.70, and specific gravity of 2.71. The gradation curve of the base soil sample is shown in Figure 4. According to the soil classification standard ASTM [26], we can determine that the test sample is silty clay.

3.2. Rotary Drilling Test
3.2.1. Test Device

The rotary drilling system used in this study is shown in Figure 5. The system comprised the rig body, computer and system software, a data receiver, and a gasoline engine, with a torque sensor that measures up to and a maximum revolution speed of . The computer and system software process the data in real time, calculating the penetration rate and plotting graphs that show the relationships between torque, propulsion, revolution speed, and drilling depth.

The flexible boundary loading device simulates the stress due to the weight of the soil by applying confining pressure, as shown in Figure 6. The device comprised (1) a servocontrolled hydraulic pump, (2) flexible boundary loading device, and (3) hydraulic jack. The hydraulic jack provides pressure, the flexible boundary loading device transmits the pressure, and the hydraulic pump controls the loading rate. Two hydraulic jacks separated by a distance of 80 cm act on each of the flexible loading plates (each 100 × 100 cm). A 120 cm long I-beam provides the reaction force. The maximum compressive stress that could be applied by the flexible boundary loading device is 4 MPa at a maximum loading rate of 0.01 MPa/s. The connections between the I-beam, jacks, and flexible loading plates are shown in Figure 6 (2-1), and the connections between the loading plates are shown in Figure 6 (2-2).

3.2.2. Sample Preparation and Key Parameters

The method adopted for sample preparation was the same as Lv et al. [27]. The samples were designed to contain water contents of 5%, 10%, 15%, 20%, and 25% with a dry density of . To ensure test accuracy, the water content of the samples required reassessment immediately prior to performing the tests. The tests used sharp-tooth composite drill bits (Figure 4) that had outer and inner diameters of 5.5 and 5.0 cm, respectively. The drilling confining pressures were 0, 100, 200, 300, and 400 kPa, with revolution speed of 500 r/min, penetration rate of 15 cm/min, and drilling depth of 90 cm.

3.3. Soil Strength Test

We used a fully automatic triaxial test apparatus (Product Model TSZ-1, Nanjing Soil Equipment Factory, China) to conduct the UCS test and the triaxial shear test. The test samples, which were 50 mm in diameter and 100 mm in height, were prepared according to the following procedure.

When a core obtained from drilling satisfied the sample preparation requirement, i.e., the overall size was larger than the sample size, a cylinder (50 mm diameter and 100 mm height) was cut out as the test sample. When using a core for sample preparation, it was necessary to maintain its density and to keep the water content uniform by adopting an undercompaction procedure [28]. During the tests, the loading rate was 0.8 mm/min and the confining pressures were 0, 100, 200, 300, and 400 kPa. When the strain reached 16%, the test was halted and either the peak point of the stress-strain curve or the stress at 15% strain was chosen as the sample strength [29].

4. Test Results and Discussion

4.1. Data Processing and Statistics

Based on the previous study [30], data falling into the following five categories were considered invalid: (1) negative torque or propulsion, (2) sudden increase or decrease in torque or propulsion when the magnitude of change exceeds 20% of the average value, (3) decreased drilling depth, (4) sudden increase or decrease in penetration rate when the magnitude of change exceeds 5% of the average value, and (5) sudden decrease in revolution speed when the magnitude of change exceeds 5% of the average value.

4.2. Mechanical Parameters under Different Water Content and Confining Pressure

The patterns of how the UCS, shear strength, cohesion, and internal friction angle are influenced by water content and confining pressure are shown in Figures 7(a)7(d), respectively. From the plots, we can conclude that at constant confining pressure, increased water content resulted in distinctively reduced UCS, shear strength, and cohesion. Conversely, under constant water content, increased confining pressure resulted in increased UCS, shear strength, and cohesion. Regardless of the changes in confining pressure and water content, internal friction angle did not exhibit obvious change; instead, it remained reasonably constant at 28°–33°. The reasons behind the above conclusions are as follows. As water content increases, interaction among soil particles decreases, which causes UCS and cohesion to decrease. Ultimately, reduced cohesion causes shear strength to decrease. Conversely, confining pressure is able to change the soil structure. Thus, as it increases, soil compactness also increases, and this causes UCS, cohesion, and shear strength to increase [31].

4.3. Rotary Drilling Parameters under Different Water Content and Confining Pressure

The patterns of how the drilling parameters are influenced by water content and confining pressure are shown in Figure 8. It can be concluded from Figures 8(a) and 8(b) that under constant confining pressure, increased water content causes torque and propulsion to decrease, whereas with constant water content, increased confining pressure causes torque and propulsion to increase. The changes in drilling parameters are due to the following reasons. As water content increases, soil strength decreases because the water serves as lubricant, reducing the frictional coefficient between the drill bit and the soil. As confining pressure increases, soil compactness and strength both increase. Thus, interaction between the drill bit and the soil increases, causing torque and propulsion to increase as well. From the analysis above, we can conclude that drilling parameters increase or decrease simultaneously with soil strength, proving that changes in MWD parameters can reflect soil strength, thus providing a key foundation for establishing quantitative relationships between MWD parameters and soil strength.

4.4. Correlation between Rotary Drilling Parameters and Mechanical Parameters
4.4.1. Simplification of Relationships between Drilling Parameters and Mechanics Parameters

Mirabile discovered that while using a cutting bit for drilling into a rock-soil body [9], propulsion is used mostly to overcome the UCS, whereas torque used is mostly to overcome the shear strength of the rock-soil body. Combining this understanding with the theoretical analysis and test results derived from our research, and under the premise of considering or not considering water content, we established separate sets of quantitative relationships between propulsion and UCS, between torque and shear strength, and between torque and cohesion. For these, linear relationships are preferred as long as accuracy is preserved [13].

4.4.2. Correlation between Propulsion and UCS

The quantitative relationships between propulsion and UCS under different water contents are shown in Figure 9(a). From the plot, we can conclude that propulsion is linearly proportional (correlation coefficients are all great than 0.90) to UCS for water contents of 4.8%–24.9%. The decreasing slope in the linear fitting formula shows that the effects of water content and confining pressure on UCS decrease. When water content increases to a threshold (about 20%), UCS tends toward stability. From Figure 9(b), we can conclude that without considering the effect of water content, the relationship between propulsion and UCS can be described by the exponential function (correlation coefficient = 0.898). Through comparison of Figures 9(a) and 9(b), we can conclude that taking water content into consideration enhances the accuracy of the quantitative relationship between propulsion and UCS.

4.4.3. Correlation between Torque and Shear Strength

The correlation between shear strength and torque is shown in Figures 10(a) and 10(b). From Figure 10(a), we can conclude that a linear relationship between torque and shear strength is evident (correlation coefficients are all great than 0.95) when taking water content into consideration. Moreover, as water content increases, the slope in the fitting equation initially increases and then decreases. The reason for this is that shear strength is affected by both water content and confining pressure. When the water content is reasonably low (below 20%), an increase in confining pressure causes torque and shear strength to increase at an increasing rate, which causes the slope to increase. However, when the water content is reasonably high, the effect of confining pressure on shear strength is reduced. As the confining pressure increases, shear strength and torque both increase at a decreasing rate, which causes the slope to decrease. From Figure 10(b), we can conclude that without considering water content, the relationship between shear strength and torque (correlation coefficient = 0.852) can be represented by . Through comparison of Figures 10(a) and 10(b), we can conclude that taking water content into consideration enhances the accuracy of the quantitative relationship between torque and shear strength.

4.4.4. Correlation between Torque and Cohesion

The relationship between torque and cohesion is shown in Figures 11(a) and 11(b). From Figure 11(a), we can conclude that torque is linearly proportional to cohesion at different water contents (correlation coefficients are all great than 0.90). From Figure 11(b), we can conclude that the relationship between torque and cohesion (correlation coefficient = 0.898) can be represented by , when not taking water content into consideration. The pattern of change observed in the slope of the line of best fit for the torque-cohesion relationship is the same as for torque-shear strength, i.e., when the internal friction angle settles within 28°–32°, changes in cohesion correspond to changes in shear strength. Through comparison of Figures 11(a) and 11(b), we can conclude that taking water content into consideration enhances the accuracy of the quantitative relationship between torque and cohesion.

5. Field Application

5.1. Test Conditions

The field test was conducted at a common trench construction site in Yanqing District, Beijing, China. Geological explorations revealed that up to depths of 21.0 m, the strata could be divided between man-made accumulation and quaternary deposits. The layer of man-made accumulation had a buried depth of 0.70–1.90 m, beyond which was the layer of quaternary deposits. At the buried depth of 10.0–11.0 m, phreatic-piestic water was discovered. As part of the construction project, excavation was undertaken on the layer of man-made accumulation, which revealed that the material in the depth range of 0.0–6.8 m consisted of silty clay. Because the soil properties in the field test were found the same as those of the indoor drilling test and because the water table was reasonably relatively low, the site was considered appropriate for a field rotary drilling test.

5.2. Rotary Drilling Test Results

The field rotary drilling test used a cutting bit with outer and inner diameters of 5.5 and 5.0 cm, respectively, at a revolution speed of 500 r/min, penetration rate of 15 cm/min, and drilling depth of 2.5 m. After the rotary drilling test was completed, the morphology of drilled hole was obtained using the TS-C1201(B) panoramic borehole camera system. Combining this information with in situ core sampling and a drilling performance curve, we divided the soil according to depth. After selecting the rotary drilling test data in accordance with the method introduced in Section 4.1, we calculated the average torque and propulsion within each depth range. Taking water content into consideration, we used the derived fitting equations to calculate the soil mechanical parameters. Figure 12 shows comprehensive data of the rotary drilling test. Figure 13 shows cross sections of the inner-wall surface of the drilled hole at specific layers. The drilling parameters and strength parameters for each layer are shown in Figure 12.

5.3. Comparison and Analysis of Test and Investigation Results

To examine the accuracy of the rotary drilling test results, we compared the strength parameters obtained from the indoor test with predicted values. In the depth range of 0.0–0.95 m, UCS was 165.2 kPa, shear strength was 525.7 kPa, and cohesion was 68.3 kPa. The values for the same parameters in the depth range of 1.00–1.45 m were 96.5, 340.5, and 50.2 kPa, respectively, while those in the depth range of 1.50–2.50 m were 70.4, 162.3, and 20.6 kPa, respectively. The indoor test results and the calculated values based on the fitting equations are compared in Figure 14. It can be concluded that when water content was 5.2% and 25.4%, the predicted values were higher than the test results. Conversely, for water content of 14.6%, the predicted values were lower than the test results. The reason for this is that the water content of the silty clay used in the field test differed from that (4.8%, 14.8%, and 24.9%) used to deduce the fitting equation. Because the strength parameters decrease with increasing water content, when the actual water content of the silty clay is lower than that used for the fitting equation deduction, the predicted values will be smaller than the test results, and vice versa. Overall, the test results showed good agreement with the predicted values with all errors less than 5%. This proves it is feasible to use rotary drilling parameters for the prediction of soil strength parameters. Under the premise that water content is taken into consideration, the deduced fitting equations could be applied to real engineering calculations.

6. Conclusions

In this paper, using silty clay as an example case, we applied theoretical analysis, indoor tests, and field application to reveal the quantitative relationships between propulsion and UCS, between torque and cohesion, and between torque and shear strength. Based on the derived findings, we concluded the following:(1)It is feasible to use rotary drilling parameters to calculate soil strength parameters. While taking water content into consideration, the calculated soil strength parameters could serve as a reference for real engineering projects.(2)For a situation with constant soil type and given physical parameters, geometric parameters of drill bit and rod, drilling speed, and revolution speed, we can assume that torque is used mainly to overcome shear stress, while propulsion is used mainly to overcome UCS. This assumption can simplify complex mechanical models, and under such a premise, rotary drilling parameters for silty clay (torque and propulsion) are linearly proportional (correlation coefficients are all great than 0.85) to UCS, shear strength, and cohesion.(3)When using drilling parameters to obtain silty clay strength parameters, the results depend on water content. When the actual water content is lower than that used for deducing the quantitative relationship, the obtained value is smaller than the indoor test result.(4)The quantitative relationship presented in this paper is appropriate for silty clay, especially with water content in the range of 5.0%–25.0%. The accuracy of the derived quantitative relationships could be improved by further calibration through field applications.

Data Availability

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 they have no conflicts of interest.

Acknowledgments

This work was supported by the National Natural Science Foundation of China (project nos. 51504029 and 51774048), Beijing Municipal Excellent Talents Foundation (project no. 2017000021223ZK04), Fundamental Research Funds for the Central Universities (project no. FRF-BD-19-004A).