1 Introduction

The stability of natural and engineering rock structures, such as rock slopes and underground excavations, is largely affected by the presence of rock joints along which slide failure can easily take place. Natural joints possess two-order roughness, i.e., waviness (first-order) and unevenness (second-order). Both order asperities experience dilation and degradation, leading to the non-linear mechanical response of a rock joint to shear loading. Quantifying the evolution of waviness and unevenness is crucial to constitute an adequate model for simulating the shear behaviour of a rock joint.

The mechanical reaction of a rock joint to shear mainly depends on normal stress, rock properties, and surface roughness (Patton 1966; Ladanyi and Archambault 1969; Barton 1973). When the normal stress is low, the rock joint fails due to the slide of asperities against each other. Under this circumstance, dilation dominates the mode of shear failure. If the normal stress grows to an adequately high level, the asperities are severely damaged. That is to say, the shear behaviour of the rock joint is controlled by asperity degradation. Dilation and degradation of asperities occur concurrently for a rock joint subjected to shear under non-extreme normal stress conditions. Several models have been proposed to quantify the degradation of joint asperities, most of which suffer the following limitations. First, the applicability of the models is limited to two-dimensional joints with idealised profiles (Ladanyi and Archambault 1969; Plesha 1987; Saeb and Amadei 1992). Second, the models are highly empirical, lacking solid theoretical foundation (Barton and Choubey 1977; Grasselli and Egger 2003; Asadollahi and Tonon 2010; Li et al. 2018). Third, the models commonly demand more than one coefficients, the determination of which relies on back-analysing experimental data or empirical judgement (Schneider 1976; Lee et al. 2001; Ghazvinian et al. 2012; Oh et al. 2015). Thus, the practicality of these models in the field is still under examination. Fourth, few models have considered the roles of waviness and unevenness playing in shear. The dilation and degradation of waviness and unevenness mutually dictate the shear stress evolution as shear proceeds (Li et al. 2016, 2017, 2018).

This paper presents an analytical model for the shear behaviour of rock joints with two-order asperities. Waviness and unevenness are separated through wavelet analysis, based on which critical waviness and critical unevenness are quantitatively determined. The dilation and degradation of critical waviness and critical unevenness are, respectively, predicted by considering the dominance of plastic tangential work in asperity deterioration. The sheared areas of two-order asperities are assessed by accounting for the true asperity areas participating in shear. The capability of the analytical model is illustrated by correlating with experimental data from both sawtooth- and natural-shaped joints.

Table 1 Input parameters used in the analytical model for predicting the shear behaviours of sawtooth-shaped joints with \(20^\circ \) and \(30^\circ \) initial inclination angles

2 Analytical Modelling

2.1 Problem Description

We consider a rock block cut by a tightly closed joint (Fig. 1). The upper block under a normal stress (\(\sigma _{n}\)) can move vertically, and the lower part is restricted to displace horizontally subjected to a shear stress (\(\tau \)). The joint asperities consist of waviness and unevenness. The mechanical contributions of waviness and unevenness to shear resistance can be separately represented by critical waviness and critical unevenness (Li et al. 2016). Geometrical properties of the two-order asperities include the initial inclination angles (\(i_0\) and \(\alpha _0\)), wavelength (\(\lambda ^0_{\text {w}}\) and \(\lambda ^0_\text {u}\)), and amplitude (\(A^0_{\text {w}}\) and \(A^0_\text {u}\)) of critical waviness and critical unevenness, respectively. In the following, we show the determination of critical waviness and critical unevenness of a natural joint profile.

Fig. 1
figure 1

Illustration of a natural rock joint subjected to shear (\(\tau \)) under a normal stress (\(\sigma _n\))

Fig. 2
figure 2

Roughness decomposition using wavelet analysis

2.2 Roughness Decomposition

Waviness and unevenness of a rock joint occur in varying scales. Waviness initially refers to large-scale undulations in the field, and unevenness represents small-scale asperities that are observed in the laboratory (Patton 1966; ISRM 1978). The roughness of a laboratory-scale joint also comprises waviness and unevenness (Jing et al. 1992; Yang et al. 2001; Lee et al. 2001). Waviness with comparatively larger wavelength mainly contributes to the dilation behaviour, whereas unevenness of a smaller asperity size is sheared off and broken, providing shear resistance to the shear movement. The roles of waviness and unevenness playing in shear can be correspondingly represented by a critical waviness and a critical unevenness (Li et al. 2016, 2017). The critical waviness was practically determined as the waviness with the highest amplitude along the shear direction, and the critical unevenness is the unevenness with the longest wavelength on the critical waviness (Li et al. 2016, 2017). This pragmatic approach is effective for a joint profile with unmissable undulations and unevenness, whereas natural joints, particularly those with low degree roughness, may exhibit waviness and unevenness that are hardly discernable. Therefore, a quantitative approach is required to decompose joint roughness into waviness and unevenness at different scales. Recently, wavelet analysis stemming from signal processing has been utilised to isolate waviness from unevenness, for the purpose of studying joint permeability (Zou et al. 2015), implying the potential of the method for predicting the shear behaviour of rock joints with waviness and unevenness.

Following the approach of Zou et al. (2015), Fig. 2 illustrates the decomposition of a natural joint profile into waviness and unevenness through wavelet analysis. The Wavelet Design and Analysis Toolbox in Matlab is utilised to perform the analysis. A digitised joint profile is imported into the toolbox. The Daubechies’ wavelet (db8) producing the best match of the joint profile is used as the mother wavelet. The fourth level of the approximation profile is determined as waviness. Unevenness is acquired by subtracting waviness from the original profile. To remove the noise of unevenness, wavelet analysis is conducted again. Critical waviness is easily determined as the undulation with largest wavelength and amplitude along shear direction. The critical unevenness is chosen as the largest asperity on the critical waviness (Fig. 2b). The geometrical properties of critical waviness and critical unevenness are measured.

Table 2 Input parameters used in the analytical model for predicting the shear behaviour of the JRC-shaped joints
Table 3 Input parameters used in the analytical model for predicting the shear behaviour of the irregular joints in Flamand et al. (1994)
Table 4 Average percent errors (\(\delta _{\text {ave}}\)) between experimental data and analytical predictions
Fig. 3
figure 3

Shear stress–shear displacement and dilation–shear displacement relationships based on the mobilisable shear strength model. \(\tau \), \(\tau _{\text {b}}\), and \(\tau _{\text {m}}\) denote shear stress, basic frictional strength, and mobilisable shear strength, respectively. \(\delta ^{\text {e}}_{\text {ms}}\), \(\delta _{\text {s}}\), and \(\delta _n\) represent maximum elastic shear displacement, shear displacement, and dilation, correspondingly. \(d_n\) and \(d^{\text {m}}_n\) are dilation angle and mobilisable dilation angle, respectively. \(i_0\) and \(\alpha _0\) refer to inclination angles of the critical waviness and the critical unevenness, separately. \(k_{\text {s}}\) denotes joint shear stiffness, and F is the reduction factor. d\(\tau \), \({\text {d}}\delta _n\), and \({\text {d}}\delta _{\text {s}}\) are increments of shear stress, dilation, and shear displacement, respectively

Fig. 4
figure 4

Degradation process of a sawtooth-shaped critical waviness. \(i_0\), \(\lambda ^0_{\text {w}}\), and \(A^0_{\text {w}}\) are the initial inclination angle, wavelength, and amplitude of the critical waviness, respectively. \(i_{\text {d}}\), \(\lambda _{\text {w}}\), and \(A_{\text {w}}\) are the dilation angle, wavelength, and amplitude of the critical waviness under shearing. \({\text {d}}\delta ^{\text {p}}_{\text {s}}\) and \({\text {d}}\delta _n\) are the incremental plastic shear displacement and the incremental dilation, respectively. \(\delta _n\) denotes dilation. \(S^{\text {s}}_{\text {w}}\) is the sheared area of the critical waviness, and d\(S^{\text {s}}_{\text {w}}\) is the incremental sheared area of the critical waviness. \(S^{\text {b}}_{\text {w}}\) is the area of the critical waviness base

Fig. 5
figure 5

Flowchart for model implementation

2.3 Model Framework

Li et al. (2016, 2017, 2018) reported that the shear behaviour of a rock joint is governed by the mobilisation of waviness and unevenness. For a rock joint under shear, there is a bounding or mobilisable shear strength (\(\tau _{\text {m}}\)) that represents the maximum reachable shear stress, resembling the continuously-yielding model (Cundall and Hart 1984). Figure 3 shows typical shear stress–shear displacement and dilation–shear displacement relationships based on the mobilisable shear strength model.

The mobilisable shear strength of a natural rock joint (\(\tau _{\text {m}}\)) consists of strength components to overcome basic friction, dilation, and degradation of critical waviness and critical unevenness, respectively:

$$\begin{aligned} \tau _{\text {m}} = \sigma _n \tan (\phi _{\text {b}}+i^{\text {m}}_{\text {d}}+\alpha ^{\text {m}}_{\text {d}})(1-a_{\text {s}})+a_{\text {s}}\sigma ^{\text {s}}_{\text {T}}, \end{aligned}$$
(1)

where \(i^{\text {m}}_{\text {d}}\) and \(\alpha ^{\text {m}}_{\text {d}}\) represent the mobilisable dilation angles of critical waviness and critical unevenness, respectively. The mobilisable dilation angle contributed by critical waviness and critical unevenness is

$$\begin{aligned} d^{\text {m}}_n = i^{\text {m}}_{\text {d}}+\alpha ^{\text {m}}_{\text {d}}. \end{aligned}$$
(2)

\(a_{\text {s}}\) denotes the sheared area ratio, which equals

$$\begin{aligned} a_{\text {s}} = \frac{S^{\text {s}}_{\text {w}}+S^{\text {s}}_\text {u}}{S^0_{\text {w}}+S^0_\text {u}}, \end{aligned}$$
(3)

where \(S^{\text {s}}_{\text {w}}\) and \(S^{\text {s}}_\text {u}\) denote the sheared areas of critical waviness and critical unevenness, respectively, and \(S^0_{\text {w}}\) and \(S^0_\text {u}\) represent the initial areas of critical waviness and critical unevenness, correspondingly.

\(\sigma ^{\text {s}}_{\text {T}}\) in Eq. (1) is the transitional shear stress, subjected to which the asperities are completely sheared off without joint dilation, and is estimated as:

$$\begin{aligned} \sigma ^{\text {s}}_{\text {T}}=\sigma ^{\text {n}}_T\tan \phi _{\text {b}}, \end{aligned}$$
(4)

where \(\phi _{\text {b}}\) is the joint basic friction angle, and \(\sigma ^{\text {n}}_{\text {T}}\) is the transitional normal stress (Ladanyi and Archambault 1969; Gerrard 1986; Saeb and Amadei 1992; Li et al. 2018).

The shear stress–shear displacement and dilation–shear displacement curves of a rock joint under shear can be predicted based on the mobilisable shear strength. Upon shear loading, joint asperities deform elastically, producing a linear relationship between shear stress increment (d\(\tau \)) and shear displacement increment (\({\text {d}}\delta ^{\text {e}}_{\text {s}}\)), that is

$$\begin{aligned} {\text {d}}\tau = k_{\text {s}} \, {\text {d}}\delta ^{\text {e}}_{\text {s}}, \end{aligned}$$
(5)

where \(k_{\text {s}}\) denotes the joint shear stiffness.

In the elastic stage, the joint dilation angle (\(d_n\)) is zero, whereas the mobilisable dilation angle (\(d^{\text {m}}_n\)) decreases from the maximum value which equals the sum of the initial inclination angles of the critical waviness and the critical unevenness (\(i_0+\alpha _0\)) (Fig. 2). Once the shear stress exceeds the basic frictional strength (\(\tau _{\text {b}}=\sigma _n \tan \phi _{\text {b}}\)) (Oh et al. 2015), the joint enters the plastic stage due to asperity degradation, where dilation commences. The mobilisable dilation angle (\(d^{\text {m}}_n\)) continues to decrease. The dilation angle (\(d_n\)) is maximum at the beginning of plastic stage, followed by continuous decrease as shear proceeds. During the whole shear process, the mobilisable shear strength \(\tau _{\text {m}}\) reduces due to the deformation of waviness and unevenness. The shear stress (\(\tau \)) in the plastic stage is dictated by the shear stiffness that is the slope of the shear stress–shear displacement curve (\(Fk_{\text {s}}\)), where F is a reduction factor and depends on the difference between the shear stress (\(\tau \)) and the mobilisable shear strength (\(\tau _{\text {m}}\)) (Cundall and Hart 1984), that is

$$\begin{aligned} F=1-\frac{\tau }{\tau _{\text {m}}}. \end{aligned}$$
(6)

When the critical waviness and the critical unevenness are entirely sheared off at a sufficiently large shear displacement, the shear stress (\(\tau \)) equals the mobilisable shear strength (\(\tau _{\text {m}}\)) (Fig. 2).

2.4 Asperity Degradation

In the plastic stage, asperities are degraded and dilation occurs, resulting in the shear stress variation. The degradation of an asperity depends on the combination of shear stress and shear displacement (Plesha 1987). Based on the classic wear theory (Queener et al. 1965; Leong and Randolph 1992; Li et al. 2016) and considering plastic tangential work, for the critical waviness, we propose that the increment of the sheared area of the critical waviness (d\(S^{\text {s}}_{\text {w}}\)) over the increment of plastic tangential work (d\(W^{\text {p}}_{\text {s}}\)) is linearly proportionate with the unsheared area of the critical waviness (\(S_{\text {w}}\)), that is

$$\begin{aligned} \frac{{\text {d}}S^{\text {s}}_{\text {w}}}{{\text {d}}W^{\text {p}}_{\text {s}}}=c_{\text {w}} S_{\text {w}}, \end{aligned}$$
(7)

where the increment of plastic tangential work (\({\text {d}}W^{\text {p}}_{\text {s}}\)) is the product of shear stress and plastic shear displacement increment, i.e., \({\text {d}}W^{\text {p}}_{\text {s}}=\tau \,{\text {d}}\delta ^{\text {p}}_{\text {s}}\). \(c_{\text {w}}\) is the degradation coefficient of the critical waviness with a unit of length / force.

Considering the area variation of the unsheared area of the critical waviness (\(S_{\text {w}}\)) due to plastic shear displacement, as illustrated in Fig. 4, the unsheared area of the critical waviness (\(S_{\text {w}}\)) is

$$\begin{aligned} S_{\text {w}}=\frac{A_{\text {w}} \lambda _{\text {w}}}{2}=\frac{(\lambda ^0_{\text {w}}-2\delta ^{\text {p}}_{\text {s}})^2}{2(\cot i_{\text {d}} +\cot i_0)} \end{aligned}$$
(8)

Note that the sinusoidal-shaped critical waviness is simplified triangular.

The sheared area of the critical waviness is

$$\begin{aligned} S^{\text {s}}_{\text {w}}=S^0_{\text {w}}-S_{\text {w}}-S^{\text {b}}_{\text {w}}, \end{aligned}$$
(9)

where \(S^{\text {b}}_{\text {w}}\) is the area of the critical waviness base that is no longer involved in shear due to dilation, and is calculated as

$$\begin{aligned} S^{\text {b}}_{\text {w}}= \int _{0}^{\delta _n} \frac{(\lambda _{\text {w}}+\lambda ^0_{\text {w}}-2\delta ^{\text {p}}_{\text {s}})}{2}{\text {d}}\delta _n. \end{aligned}$$
(10)

Combining Eqs. (7) and  (8), the sheared and unsheared areas of the critical waviness are, respectively

$$\begin{aligned} S^{\text {s}}_{\text {w}}= &\, {} (S^0_{\text {w}}-S^{\text {b}}_{\text {w}})(1-{\text {e}}^{-c_{\text {w}} W^{\text {p}}_{\text {s}}}) \end{aligned}$$
(11a)
$$\begin{aligned} S_{\text {w}}= &\, {} (S^0_{\text {w}}-S^{\text {b}}_{\text {w}})\, {\text {e}}^{-c_{\text {w}} W^{\text {p}}_{\text {s}}}. \end{aligned}$$
(11b)

Thus, the sheared area of the critical waviness is

$$\begin{aligned} S^{\text {s}}_{\text {w}}=S^0_{\text {w}}-S_{\text {w}}-S^{\text {b}}_{\text {w}}= \frac{\lambda ^0_{\text {w}} A^0_{\text {w}}}{2} - \frac{(\lambda ^0_{\text {w}}-2\delta ^{\text {p}}_{\text {s}})^2}{2(\cot i_{\text {d}} +\cot i_0)} - S^{\text {b}}_{\text {w}}. \end{aligned}$$
(12)

Equating Eqs. (11b) and  (8) yields the dilation angle of the critical waviness (\(\tan i_{\text {d}}\)):

$$\begin{aligned} \tan {i_{\text {d}}}=\frac{2\tan i_0 \, (S^0_{\text {w}}-S^{\text {b}}_{\text {w}}) \, {\text {e}}^{-c_{\text {w}} W^{\text {p}}_{\text {s}}}}{\tan i_0 \, (\lambda ^0_{\text {w}} - 2\delta ^{\text {p}}_{\text {s}})^2 - 2(S^0_{\text {w}} -S^{\text {b}}_{\text {w}})}. \end{aligned}$$
(13)

The sheared area ratio of the critical waviness (\(a^{\text {s}}_{\text {w}}\)) is

$$\begin{aligned} a^{\text {s}}_{\text {w}}=\frac{S^{\text {s}}_{\text {w}}}{S^0_{\text {w}}}. \end{aligned}$$
(14)

The mobilisable dilation angle of the critical waviness in the elastic stage decreases as the elastic tangential energy (\(W^{\text {e}}_{\text {s}}=\int \tau {\text {d}}\delta ^{\text {e}}_{\text {s}}\)) accumulates in the asperity:

$$\begin{aligned} \tan i^{\text {m}}_{\text {d}} = \frac{{\text {e}}^{-c_{\text {w}} W^{\text {e}}_{\text {s}}}}{2-{\text {e}}^{-c_{\text {w}} W^{\text {e}}_{\text {s}}}} \tan i_0. \end{aligned}$$
(15)

The degradation coefficient of the critical waviness (\(c_{\text {w}}\)) relies on the geometric properties of the asperity and the uniaxial compressive strength of the rock (\(\sigma _{\text {c}}\)):

$$\begin{aligned} c_{\text {w}}=K\frac{i_{\text {d}}}{\sigma _{\text {c}}\sqrt{S_{\text {w}}}}, \end{aligned}$$
(16)

where K is a dimensionless constant that represents the influence of experimental environments, such as humidity and temperature, on the degradation process of waviness.

Similarly, for the critical unevenness, the mobilisable dilation angle of the critical unevenness in the elastic stage (\(\tan \alpha ^{\text {m}}_{\text {d}}\)) is

$$\begin{aligned} \tan \alpha ^{\text {m}}_{\text {d}} = \frac{{\text {e}}^{-c_\text {u} W^{\text {e}}_{\text {s}}}}{2-{\text {e}}^{-c_\text {u} W^{\text {e}}_{\text {s}}}} \tan \alpha _0, \end{aligned}$$
(17)

where \(\alpha _0\) denotes the initial inclination angle of the critical unevenness, and \(c_\text {u}\) is the degradation coefficient of the critical unevenness.

In the plastic stage, we have

$$\begin{aligned} \tan {\alpha _{\text {d}}}= &\, {} \frac{2\tan \alpha _0 \, (S^0_\text {u} - S^{\text {b}}_\text {u}) \, {\text {e}}^{-c_\text {u} W^{\text {p}}_{\text {s}}}}{\tan \alpha _0 \, (\lambda ^0_\text {u} - 2\delta ^{\text {p}}_{\text {s}})^2 - 2(S^0_\text {u} -S^{\text {b}}_\text {u})} \end{aligned}$$
(18a)
$$\begin{aligned} S^{\text {s}}_\text {u}= &\, {} \frac{\lambda ^0_\text {u} A^0_\text {u}}{2} - \frac{(\lambda ^0_\text {u}-2\delta ^{\text {p}}_{\text {s}})^2}{2(\cot \alpha _{\text {d}} +\cot \alpha _0)} - S^{\text {b}}_\text {u} \end{aligned}$$
(18b)
$$\begin{aligned} S^{\text {b}}_\text {u}= &\, {} \int _{0}^{\delta _n} \frac{(\lambda _\text {u}+\lambda ^0_\text {u}-2\delta ^{\text {p}}_{\text {s}})}{2}{\text {d}}\delta _n \end{aligned}$$
(18c)
$$\begin{aligned} a^{\text {s}}_\text {u}= &\, {} \frac{S^{\text {s}}_\text {u}}{S^0_\text {u}} \end{aligned}$$
(18d)
$$\begin{aligned} c_\text {u}= &\, {} K\frac{\alpha _{\text {d}}}{\sigma _{\text {c}}\sqrt{S_\text {u}}}, \end{aligned}$$
(18e)

where \(A^0_\text {u}\), \(\lambda ^0_\text {u}\), and \(S^0_\text {u}\) are the initial amplitude, wavelength, and area of the critical unevenness, respectively. \(\alpha _{\text {d}}\) and \(\lambda _\text {u}\) denote the dilation angle and wavelength of the critical unevenness under shearing, respectively. \(S_\text {u}\) and \(S^{\text {s}}_\text {u}\) are the unsheared and sheared areas of the critical unevenness, respectively. \(S^{\text {b}}_\text {u}\) is the area of the critical unevenness base, and \(a^{\text {s}}_\text {u}\) is the sheared area ratio of the critical unevenness.

Fig. 6
figure 6

Sawtooth- and JRC-shaped joint samples used in the direct shear tests

Fig. 7
figure 7

Roughness decomposition of three JRC profiles and the joint profile in Flamand et al. (1994)

Fig. 8
figure 8

Comparison between the analytical predictions and the experimental curves from direct shear tests on the sawtooth-shaped joints with \(20^\circ \) initial inclination angle

Fig. 9
figure 9

Comparison between the analytical predictions and the experimental curves from direct shear tests on the sawtooth-shaped joints with \(30^\circ \) initial inclination angle

Fig. 10
figure 10

Comparison between the analytical predictions and the experimental curves from direct shear tests on three JRC-shaped joints

Fig. 11
figure 11

Comparison between the analytical predictions and the experimental curves from direct shear tests on the irregular joints in Flamand et al. (1994)

3 Model Validation

3.1 Model Implementation

Figure 5 illustrates the procedures for implementing the proposed model. Equation (5) yields the linear relationship between the shear stress and the shear displacement in the elastic stage. Once the shear displacement exceeds the maximum elastic shear displacement (\(\delta ^{\text {e}}_{\text {ms}}\)), plastic deformation appears accompanied by asperity degradation. Equation (6) is employed to continuously update the shear stiffness, i.e., the slope of the shear stress–shear displacement curve. When the shear displacement reaches the prescribed value, i.e., the iterative step (i) equals the maximum loop number (n), the calculation ends and outputs shear stress, dilation, and shear displacement.

The model’s validity has been demonstrated by comparing with the experimental data from direct shear tests on both sawtooth- and irregular-shaped joints under varying normal stresses. The shear stiffness (\(k_{\text {s}}\)) and the maximum shear displacement (\(\delta ^{\text {e}}_{\text {ms}}\)) are obtained based on the experimental curves. The transitional normal stress is conveniently assessed as 20%–30% of the uniaxial compressive strength of the rock (Flamand 2000; Grasselli and Egger 2003).

3.2 Model Validation

We performed direct shear tests on both sawtooth- and JRC-shaped joints with a Geotechnical Consulting and Testing Systems (GCTS) servo-hydraulic testing machine, RDS-300 (Li 2016). Two types of sawtooth-shaped joints with the same wavelength of 25 mm and different initial inclination angles of triangular asperities, i.e., \(20^\circ \) and \(30^\circ \), and three types of JRC-shaped joints, i.e., JRC 4–6, JRC 10–12, and JRC 14–16, were prepared (Fig. 6). The digitising interval of the standard JRC profiles was 0.5 mm. To ensure that the profiles of the replicas were as identical as possible, cast moulds were designed and manufactured of high-strength stainless steel. Figure 7a–c illustrates the decomposition of the three JRC profiles, respectively.

The synthetic joints were made of the Hydrostone gypsum cement, which consisted of \({\text{CaSO}}_4\cdot \text {H}_2\text {O} >95\%\) and Portland cement \(<5\%\). The cement and water were mixed at a weight ratio of 1:0.35. All the samples dimensioned \({100\,\text {mm} \times 100\,\text {mm} \times 100\,\text {mm}}\) were seasoned at \(42^{\circ }\text {C}\) in a curing oven for 14 days. The uniaxial compressive strength of the cement mixture was 46.3 MPa, the tensile strength was 2.4 MPa, and the basic friction angle was \(42^\circ \). The transitional normal stress was estimated at \(0.2\,\sigma _{\text {c}}\).

We analytically simulated the shear stress and dilatancy of the sawtooth- and JRC-shaped joints under different normal stresses from 1.0 to 5.0 MPa. Tables 1 and 2 detail the input parameters used in the analytical model. Figures 8, 9 and 10 show an overall good agreement between the analytical predictions and the experimental data. Some differences appear between the analytical and the experimental curves in the post-peak stages, particularly for the sawtooth-shaped joints under higher normal stresses (Figs. 8, 9). These discrepancies mainly resulted from the brittle dynamic failure of the regular asperities, which are not well captured by the proposed model that assumes asperities undergo gradual degradation. For the JRC- shaped joints, the predicted dilatancy does not match the experimentally observed values very well (Fig. 10). The omission of higher order (third or fourth) asperities is mainly responsible for the disagreement, as higher order asperities have more pronounced influence on dilation than shear stress.

We further compared the analytical predictions to the experimental data of joints with natural profiles. Flamand et al. (1994) carried out direct shear tests on synthetic joints cast from the natural joints sourced in the Guèret granite (France). Figure 7d shows the decomposition of the joint profile. The non-shrinking mortar was used to replicate joint samples with a diameter of 90 mm. The uniaxial compressive strength of the mortar was 82 MPa, the tensile strength was 6.6 MPa, and the basic friction angle was \(37^\circ \). The transitional normal stress was estimated at \(0.3\,\sigma _{\text {c}}\).

We analytically reproduced the shear stress–shear displacement and dilation–shear displacement curves of the irregular-shaped joints under three different normal stresses, namely, 7 MPa, 14 MPa, and 21 MPa. Table 3 lists the input parameters used in the analytical prediction. Figure 11 shows that the proposed model predicts effectively the shear stress–shear displacement behaviour, but slightly overestimates the dilation–shear displacement relationship. This overestimation of dilation possibly results from the fact that one two-dimensional joint profile may be inadequate to describe the joint surface characteristics reproduced from natural joints.

We demonstrated the performance of the proposed model by comparing the analytical predictions to the experimental data obtained from direct shear tests on sawtooth- and irregular-shaped joints under different normal stresses. To quantify the accuracy of the analytical predictions, the average percent error (\(\delta _{\text {ave}}\)) is used as a precision indicator. The average percent errors of shear stress (\(\delta _{\text {ave}} (\tau )\)) and dilation (\(\delta _{\text {ave}} (\delta _n)\)) are, respectively:

$$\begin{aligned} \delta _{\text {ave}} (\tau )= &\, {} \frac{1}{z}\sum _{m=1}^{z}|\frac{\tau ^{\text {exp}}-\tau ^{\text {pre}}}{\tau ^{\text {pre}}}|\times 100\% \end{aligned}$$
(19a)
$$\begin{aligned} \delta _{\text {ave}} (\delta _n)= &\, {} \frac{1}{z}\sum _{m=1}^{z}|\frac{\delta _n^{\text {exp}}-\delta _n^{\text {pre}}}{\delta _n^{\text {exp}}}|\times 100\%, \end{aligned}$$
(19b)

where z is the number of data for analysis, \(\tau ^{\text {exp}}\) and \(\tau ^{\text {pre}}\) denote the experimental and the analytical shear stresses, respectively; \(\delta _n^{\text {exp}}\) and \(\delta _n^{\text {pre}}\) are the experimental and the predicted dilation, separately.

Table 4 lists the average percent errors of shear stress and dilation between the experimental data and the analytical predictions. For all cases, the average percent errors are lower than 18%, most of which do not exceed 15%. Therefore, the proposed model satisfactorily predicts the shear behaviour of rock joints under direct shear. However, the capability of the proposed model can be further improved by incorporating the sudden brittle breakage of large asperities in the post-peak stage and the effect of higher order asperities on the shear behaviour of rock joints.

4 Discussion

In this paper, the shear behaviour of a rock joint exhibiting two-order roughness is analytically modelled. The proposed model possesses the following advantages. First, critical waviness and critical unevenness are determined based on quantifiable separation of waviness and unevenness through wavelet analysis technique. Second, asperity degradation is predicted by establishing the relationship between asperity area variation and plastic tangential work, which mimics the physically motivated process of asperity evolution. Third, the model reproduces the non-linear variations of shear stress and dilation of a rock joint under shearing with acceptable accuracy, as demonstrated by the comparison between analytical predictions and experimental data.

Although the proposed model owns the above-mentioned strengths, it has limitations. First, transitional normal stress is empirically determined as 20–30% \(\sigma _{\text {c}}\) based on limited experimental data of Flamand (2000) and Grasselli and Egger (2003). The magnitude of transitional normal stress depends on a number of variables such as rock mineralogy, joint roughness, and porosity (Wong and Baud 2012). Accurate acquisition of transitional normal stress requires performing direct shear tests in the high normal stress range. Second, the dimensionless coefficient K in Eqs. (16) and (17) was obtained by back-analysing experimental data. The estimation of K is quite challenging based on our current understanding on asperity degradation, since it depends heavily on the experimental environments such as humidity and temperature.

5 Conclusions

This paper introduces an analytical model for the mechanical behaviour of a rock joint subjected to shear. Two-order asperities, i.e., waviness and unevenness of a natural joint profile, were separated using wavelet analysis method. Critical waviness and critical unevenness were, respectively, chosen to represent the mechanical involvements of waviness and unevenness in shear. The evolution of each-order asperity was quantified by formulating the relationships among plastic tangential work, sheared and unsheared asperity areas. The dilation angle of each-order asperity decreased over the accumulation of plastic tangential work. The incremental sheared asperity area was assessed by considering the asperity area truly involved in shear. The proposed model was validated against experimental results from direct shear tests on sawtoothed, JRC-shaped, and natural-profiled joints. The analytical predictions overall matched the experimental curves, although some discrepancies appeared. The performance of the proposed model can be improved by accounting for the effect of higher order asperities on joint shear behaviour. The developed model, after being implemented in finite and discrete element codes, is practicable to appraise the stability of rock-engineering structures.