Research Article  Open Access
Xiang Qiu, Jinhong Li, Huangbin Jiang, Hongyuan Fu, Shun Yang, "A Nonlinear Constitutive Model for Disintegrated Carbonaceous Mudstone Based on Logarithmic Functions", Advances in Civil Engineering, vol. 2021, Article ID 6690169, 12 pages, 2021. https://doi.org/10.1155/2021/6690169
A Nonlinear Constitutive Model for Disintegrated Carbonaceous Mudstone Based on Logarithmic Functions
Abstract
To study the mechanical characteristics of the disintegrated carbonaceous mudstone (DCM), consolidated drained triaxial tests were conducted on the DCM with three degrees of compaction (i.e., 90%, 93%, and 96%). Then, the nonlinear constitutive model suitable for the DCM was established based on test results using a logarithmic function. The stressstrain characteristics of the DCM were analyzed. The results revealed that the axial strain of the DCM was positively correlated with the deviatoric stress and lateral strain. The slopes of deviatoric stressaxial strain curves decreased with the increase of axial strain and so did the slopes of the axial strainvolumetric strain curves. The strength of the DCM increased with the increase of the confining pressure and the degree of compaction. In addition, the axial strain induced by dilatancy was also positively correlated with the degree of compaction and the confining pressure. Furthermore, under triaxial loading conditions, the relationship between the stress and strain of the DCM can be expressed by a logarithmic function; based on this, a nonlinear constitutive model with ten material parameters was derived. In addition, the results of numerical tests using the model showed similar stressstrain characteristics of the DCM comparing with the triaxial tests. Hence, it indicated that the nonlinear constitutive model based on the logarithmic function can reflect the nonlinear stressstrain characteristics of the DCM.
1. Introduction
In the southwestern of China, the disintegrated carbonaceous mudstone (DCM) was widely used as embankment fillers [1]. However, the DCM was characterized by complex component, low strength, and large compressibility. Although a significant amount of research has been performed to reveal the mechanical characteristics of the DCM, it is still difficult to assess the stability of embankments or slopes of carbonaceous mudstone, which are affected by many factors such as water and geological conditions [2]. Thus, it is critical to understand the mechanical response of the DCM with different stress environment, drainage condition, and degree of compaction.
In past decades, a great deal of effort has been carried out to establish the prediction model of rock and soil deformations based on the stressstrain relationship [3–6]. However, the rock and soil are characterized by heterogeneity, structure, brokenness, and complex component, which have a significant effect on the stressstrain relationship [7–10]. Nonlinear and elastoplastic constitutive models are widely used in engineering. Compared with the nonlinear elastic model, the elastoplastic model is considered more reliable to reflect the essential characteristics of the rock and soil. Normally, it is difficult to utilize the elastoplastic model to analyze the engineering field due to the complicated parameters [11–16]. Furthermore, the mathematical expression of a nonlinear constitutive model is relatively simple, and the physical meaning of parameters is clear and easy to determine based on the conventional triaxial test. Thus, the nonlinear constitutive model has been widely used, such as the DC model [17], EB model [18, 19], and KG model [20], in which the DC model (DuncanZhang nonlinear model) was derived based on Mohr–Coulomb strength criterion.
A large number of engineering practices have shown that the deformation of the rock and soil increases with the increase of intermediate principal stress and major principal stress in the embankment, Earth, and rockfill dam and other Earth filling projects [12, 21, 22]. However, the influence of intermediate principal stress changes on the shear behavior of rock and soil has been ignored in most nonlinear constitutive models, which may fail to meet the requirements of engineering. The mechanical properties of the rock and soil are complex, and a special rock and soil should have a suitable constitutive model to exhibit the stressstrain characteristics [23, 24]. Therefore, it is a longterm goal for researchers to establish a simple and applicable constitutive model that can reflect the influence of stress changes on the behavior of rock and soil.
The focus of the current work is to analyze the mechanical characteristics of the DCM. The consolidated drained triaxial tests were carried out on DCM samples with different degrees of compaction. The characteristics of stressstrain, peak shear strength, and axial strain during the process of dilatancy were analyzed. A nonlinear constitutive model suitable for the DCM was derived using logarithmic functions based on test results. Then, the numerical simulations of DCM under different conditions of degrees of compaction and confining pressures were performed by using the new nonlinear constitutive model. The numerical simulation results were compared with those of triaxial tests to verify the applicability of the new nonlinear constitutive model.
2. Triaxial Test of DCM
2.1. Material Properties
Typical completely DCM was collected from the site of K18 + 500 of the LiuzhaiHechi expressway in Guangxi, China. The main physical properties of the DCM are shown in Table 1. Figure 1 shows the grain size distribution. It can be observed that the grain sizes of the material less than 3.49 mm, 2.18 mm, and 0.62 mm are 60%, 30%, and 10%, respectively. The calculated coefficient of uniformity and coefficient of curvature are 5.63 and 2.17, respectively. This indicates that the material had a satisfactory grain composition according to the Chinese national standard GB/T 50123.

2.2. Sample Preparation and Test Procedure
The preparation method of DCM sample is as follows: the static pressure method was used for layered compaction; after compaction and static 120 s, the layer surface was scraped, and then, the next layer was compacted. Finally, DCM samples with three degrees of compaction (90%, 93%, and 96%) were prepared (a diameter of 100 mm and a height of 200 mm). As shown in Figure 2, consolidated drained triaxial tests were conducted using a triaxial compression servo testing machine developed by the Institute of Rock and Soil Mechanics, Chinese Academy of Sciences. The specific steps of triaxial tests were as follows. First, the DCM sample enveloped with a membrane was placed in a sealed cylinder filled with water, and the air in the sealed cylinder was discharged to make the sample saturated. Second, the saturated sample was transferred in the triaxial loading chamber, and the tubes of the test device were connected. Then, the sample was consolidated under different confining pressures, i.e., 50 kPa, 100 kPa, and 150 kPa. According to the Chinese Standard JTG E402007, when the volume change of the sample was less than 5 mm^{3} within 5 min, the consolidation of the sample was considered complete. Finally, triaxial shearing was performed at a shear rate of 0.01 mm/min using the straincontrolled method until the axial strain reached 20%.
3. Test Results
Figures (3a–3c) show that the typical curves between deviatoric stress and axial strain of DCM samples with degrees of compaction of 90%, 93%, and 96%, respectively. It can be observed that, under different degree of compaction and confining pressure conditions, the deviatoric stress is positively correlated with the axial strain, and it has a failure characteristic of strain harden. According to the slope of the relationship curve between deviatoric stress and axial strain, the changing process of the deviatoric stress of the sample with the increase of axial strain is divided into three stages: linear rapid increase, nonlinear continuous increase, and linear slow increase. The relationship between the deviatoric stress and the axial strain of the samples are quantified by a series of logarithmic functions, whose general expression is as follows:where a and b are fitting parameters.
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The values of fitting parameters under different degrees of compaction and confining pressures are shown in Figure 3. The a value is positively correlated with the degree of compaction and confining pressure, and the b value is negatively correlated with the degree of compaction and confining pressure.
Since the deviatoric stressaxial strain curves have no peaks, the deviatoric stress corresponding to an axial strain of 15% is taken as the peak shear strength according to the Chinese Standard JTG 3430–2020. As an example, the deviatoric stressaxial strain curve of the sample having a degree of compaction of 90% is shown in Figure 3(a). When the confining pressures are 50 kPa, 100 kPa, and 150 kPa, the peak strengths are 62.93 kPa, 98.85 kPa, and 146.89 kPa, respectively. In addition, when the degree of compaction is 93%, the peak strengths corresponding to the three different confining pressures are 86.14 kPa, 131.51 kPa, and 195.78 kPa, respectively; while the degree of compaction is 96%, the peak strengths of the samples at different confining pressures are 115.67 kPa, 162.63 kPa, and 243.72 kPa, respectively. It can be seen that the peak strength of the sample is positively correlated with the degree of compaction and confining pressure.
The comparative image of a representative sample before and after the test is shown in Figure 4. The DCM sample did not undergo shear failure before the axial strain reached 20%, but a lateral deformation bulge occurred near onethird of the sample height from the bottom of the sample.
Figures (5a–5c) show that the axial strainlateral strain curves of DCM samples with degrees of compaction of 90%, 93%, and 96%, respectively. The lateral strain is positively correlated with the axial strain under different degrees of compaction and confining pressure conditions, and the slope of the curve decreases with the increase of the lateral strain. Similarly, equation (1) can be used to quantify the relationship between the axial strain and lateral strain. However, in this case, a and b are positively correlated with the degree of compaction, and both a and b do not change much under the same confining pressure condition.
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In triaxial tests, the dilatancy angle can usually be calculated by the following equation:where ψ is the dilatancy angle, ε_{1} is the axial strain, and ε_{3} is the lateral strain.
If the slope of the axial strainlateral strain curve is more than 2, then dε_{1} is less than dε_{3}, and tanψ is a positive number. Thus, the sample undergoes dilatancy. On the contrary, the sample undergoes shear contraction.
The slope of the axial strainlateral strain curve is negatively correlated with the lateral strain, which can be expressed bywhere a and b are fitting parameters.
The axial strain induced by shear stress (i.e., shear shrinking transformation into dilatancy) is referred to as ε_{s}. To conveniently calculate ε_{s}, the slope of the axial strainlateral strain curve is assumed to be 2. After calculation, at a degree of compaction of 90%, ε_{s} is 0.0152, 0.0202, and 0.0232 under confining pressures of 50 kPa, 100 kPa, and 150 kPa, respectively. At a degree of compaction of 93%, ε_{s} is 0.0228, 0.0298, and 0.0456 under confining pressures of 50 kPa, 100 kPa, and 150 kPa, respectively. At a degree of compaction is 96%, ε_{s} is 0.0304, 0.0396, and 0.0437 under confining pressures of 50 kPa, 100 kPa, and 150 kPa, respectively. It can be seen that ε_{s} has positively relationship with the degree of compaction and the confining pressure.
4. New Nonlinear Constitutive Model and Its Verification
4.1. Derivation of Nonlinear Constitutive Model Based on Logarithmic Functions
4.1.1. Applicable Conditions
The relationships between the deviatoric stress and axial strain and the axial strain and lateral strain of the sample can be obtained from Section 3. This stipulates the applicable conditions of the nonlinear constitutive model based on the logarithmic functions: (i) the deviatoric stress is positively correlated with the axial strain, and the axial strain is positively correlated with lateral strain; (ii) when the axial strain is less than 0.2, the deviatoric stressaxial strain curve and the axial strainlateral strain curve have no peak.
4.1.2. Tangent Deformation Modulus E_{t}
It can be seen from Figure 3 that the relationship between the deviatoric stress (σ_{1} – σ_{3}) and the axial strain ε_{1} of the sample satisfieswhere σ_{1} is axial stress, σ_{3} is confining pressure, and a and b are fitting parameters (a, b > 0).
To obtain the tangent deformation modulus E_{t} based on the relationship between the deviatoric stress and axial strain, equation (4) is rewritten as
When the sample does not undergo axial strain (ε_{1} = 0), the tangent deformation modulus E_{0},_{i} can be expressed by
Substituting equation (6) into equation (5) yields
According to the triaxial test results, when the axial strain is less than 0.2, the deviatoric stress is positively correlated with the axial strain ε_{1}, and the deviatoric stressaxial strain curves have no peak. Therefore, the deviatoric stress corresponding to an axial strain of 0.2 is defined as the ultimate deviatoric stress (σ_{1} − σ_{3})_{ult}, which can be expressed by the following equation:
Furthermore, (σ_{1} − σ_{3})_{f} represents the peak deviatoric stress. Then, the expression of the failure stress ratio R_{f} of the sample is
The following equation is derived by substituting equation (8) into equation (9):
Substituting equation (10) into equation (7), one can derivewhere E_{t} is a function related to the axial strain, which is converted into a function related to the deviatoric stress for the convenience of application. The methods are as follows.
Substituting equation (6) into equation (4) yields
Then, substituting equation (12) into equation (11), further yields the following equation:
According to the Mohr–Coulomb strength criterion, the calculation formula of the peak deviatoric stress iswhere c is the cohesion and φ is internal friction angle. The cohesions and internal friction angles of samples with different degrees of compaction can be obtained according to the strength envelope shown in Figure 6 (i e., c is equal to the intercept of the strength envelope and φ is equal to the slope of the intensity envelope).
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Figure 7 shows the relationship between the parameter b and the confining pressure σ_{3}, and Figure 8 presents the relationship between lg (E_{0},_{I}/p_{a}) and lg (σ_{3}/p_{a}). Their expressions are equations (15) and (16), respectively:where X, J, K, and n are fitting parameters and p_{a} is a standard atmospheric pressure (p_{a} = 101.4 kPa).
Finally, equations (14)–(16) are substituted into equation (13), and thus, the following equation is derived:
It can be seen that the expression of tangential deformation modulus contains seven parameters (K, n, c, φ, R_{f}, X, J).
4.1.3. Tangent Poisson Ratio ν_{t}
Similarly, the relationship between the axial strain (ε_{1}) and lateral strain (ε_{3}) can be expressed bywhere a′ and b′ are fitting parameters (a′, b′＞0).
The tangent Poisson ratio ν_{t} can be derived from equation (18):
When the sample does not undergo axial strain (ε_{1} = 0), the tangent Poisson ratio ν_{0,}_{i} can be calculated by
Substituting equation (20) into equation (19), one can derive the following equations:
Figure 9 shows the relationship between ν_{0,}_{i} and lg (σ_{3}/p_{a}), which can be characterized bywhere G and F are fitting parameters.
Substituting equations (6), (10), (12), and (23) into equation (22), one can obtain
It can be seen that the expression of tangent Poisson ratio contains ten parameters (K, n, c, φ, R_{f}, X, J, G, F, a´). According to the theory of elasticity, the range of ν_{t} is 0–0.49. If the calculated ν_{t} is greater than or equal to 0.49, the value of ν_{t} is considered to be 0.49.
4.2. Verification of the Nonlinear Constitutive Model Based on Logarithmic Functions
Based on the results in Figures 3–9, the parameters of the nonlinear constitutive model for the DCM of different degrees of compaction are calculated by the equations in Sections 3 and 4, as shown in Table 2.

The strain increment was divided into a series of substep strain increments by the improved Euler integral algorithm, and the UMAT subroutine of the proposed nonlinear constitutive model was written in Fortran language. Based on the ABAQUS finite element software platform incorporated with the nonlinear constitutive model, the triaxial tests of the DCM under different degrees of compaction and confining pressures were simulated. The finite element calculation model is shown in Figure 10. The model has a diameter of 100 mm and a height of 200 mm. According to the triaxial test procedure, the corresponding confining pressure was applied first and then the axial stress was applied to the top of the model, and the order of application of the deviatoric stress was consistent with the order of the deviatoric stress acquired during the triaxial test.
The numerical calculation results (NCR) are compared with the triaxial test results (TTR) and are shown in Figure 11. It can be seen that, under different degrees of compaction and confining pressures, the new nonlinear constitutive model can well reflect the change trend of stress and strain of the DCM. To further reflect the accuracy of the new model, the relative error between the numerical calculation results and the triaxial test results was calculated, as illustrated in Figure 12. It shows that the relative error range of the deviatoric stressaxial strain curve is ±25%, and the relative error range of the deviatoric stresslateral strain curve is ±50% under different compaction and confining pressure conditions. At the same time, the shape of the deviatoric stressstrain curve fluctuates greatly, which is mainly caused by the redisintegration of the coarsegrained carbonaceous mudstone during the test. In addition, the absolute values of the average relative errors of axial strain and lateral strain were also calculated, as listed in Tables 3 and 4. It shows that the absolute value of the relative error of axial strain (10.69%) is significantly smaller than that of lateral strain (17.98%). Therefore, when the nonlinear constitutive model is used to predict the stressstrain relationship of the DCM, the prediction accuracy of the deviatoric stressaxial strain curve is better than that of the deviatoric stresslateral strain curve.
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5. Conclusions
In this paper, triaxial test results of the DCM under different degrees of compaction and confining pressures were presented. A nonlinear constitutive model based on logarithmic functions for the DCM was derived, and the accuracy of the nonlinear constitutive model was analyzed. The following conclusions are summarized:(1)Under triaxial loading conditions, both the deviatoric stress and lateral strain of the DCM is positively correlated with the axial strain. The peak shear strength of the DCM is positively correlated with the degree of compaction and the confining pressure. In addition, the axial strain induced by dilatancy is also positively correlated with the degree of compaction and the confining pressure.(2)The DCM sample did not undergo shear failure before the axial strain reached 20%, but a lateral deformation bulge occurred near onethird of the sample height from the bottom of the sample.(3)The relationship between the deviatoric stress and the axial strain and the relationship between the axial strain and the lateral strain of the DCM can be well quantified by a nonlinear constitutive model including ten material parameters based on logarithmic function. However, the new model has a better prediction accuracy for the deviatoric stressaxial strain curve than for the deviatoric stresslateral strain curve.
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 paper was funded by Projects (51838001 and 51908073) supported by the National Natural Science Foundation of China, Project (2019SK2171) supported by the Key Research and Development Program of Hunan Province, China, and Project (2020JJ5581) supported by the Natural Science Foundation of Hunan Province.
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Copyright
Copyright © 2021 Xiang Qiu et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.