Research Article  Open Access
Guangan Zhu, Linming Dou, Yang Liu, Zhenguo Su, Hui Li, Yong Kong, Zhenlei Li, "Dynamic Behavior of Fault Slip Induced by Stress Waves", Shock and Vibration, vol. 2016, Article ID 4386836, 13 pages, 2016. https://doi.org/10.1155/2016/4386836
Dynamic Behavior of Fault Slip Induced by Stress Waves
Abstract
Fault slip burst is a serious dynamic hazard in coal mining. A static and dynamic analysis for fault slip was performed to assess the risk of rock burst. A numerical model was established to understand the stress state and mechanical responses of fault rock system. The results obtained from the analysis show that the dynamic behavior of fault slip induced by stress waves is significantly affected by mining depth, as well as dynamic disturbance intensity and the distance between the stope and the fault. The isolation effect of the fault is also discussed based on the numerical results with the fault angle appearing to have the strongest influence on peak vertical stress and velocity induced by dynamic disturbance. By taking these risks into account, a stressrelief technology using breaktip blast was used for fault slip burst control. This technique is able to reduce the stress concentration and increase the attenuation of dynamic load by fracturing the structure of coal and rock. The adoption of this stressrelief method leads to an effective reduction of fault slip induced rock burst (FSIRB) occurrence.
1. Introduction
Rock burst, as one of the typical mining dynamic disasters, refers to the sudden failure of coal and rock under high stress. It can lead to extensive damage with serious consequences [1, 2]. It is noted that rock bursts are more likely to occur in the case of mining or drivage around the fault, where the structure of coal and rock is more complex; a sudden roof fall and movement of the overlying strata will also facilitate fault slip induced by mining activities [3]. Specifically, the elastic energy generated by mining activities is transferred to the fault. Its sudden release has significant impact on the longwall panel and roadways. With the increase of mining depth and intensity, fault slip burst hazards are becoming increasing frequently in many countries including China [4].
Many attempts have been made to understand the mechanism of fault slip burst. Currently, various types of mechanical models for fault slip have been proposed by seismologists [5, 6]. However, these studies do not demonstrate the significance of fault structure and rarely concern the effects of mining opening and strata movement on the fault. In recent years, studies have attempted to determine the relationship between extracting ore deposits and fault slip using theoretical analysis and numerical simulation. Sainoki and Mitri [7, 8] investigated the dynamic behavior of faults by means of by considering various parameters, such as in situ stress and the mechanical properties of fault. The development of normal and shear stresses along the fault during the stoping process was determined by Jiang et al. [9]. Yan et al. [10] conducted statistical analysis of microseismic activity in the coal and rock of the fault area, based on the seismic data. The authors also concluded that, as the fully mechanized coal panel passes through the fault, the value of daily seismic energy release in the fault area increases steadily; the max energy tends to be rapidly increased.
The previously described mechanisms of fault slip mainly focused on the physical parameters of the fault plane and stress redistribution arising from mining activities, especially when mining comes near to the fault. However, dynamic response of fault slip induced by stress waves has rarely been investigated. As a matter of fact, fault slips have been shown to be closely related to seismic waves. On one hand, during the stress wave propagation process, the filling and locking of the fault show sharp shear, compression, and expansion, and even when they are broken, the friction on the fault is reduced. The normal stress of contact interfaces between rock and roof in elastic stage and elasticplasticity stage decreases sharply under dynamic load, which is called anomalously low friction [11, 12]. On the other hand, the propagation and dynamic response of stress waves are influenced by the fault. The propagation characteristic of stress waves across jointed rock has been studied through theoretical analysis and numerical simulation by Song et al. [13] and Yang et al. [14]. Moreover, Wu and Cai [15] and Zhou et al. [16] have studied and illustrated the shock isolation and hanging wall effects of fractures.
In this paper, the mechanism of fault slip burst is outlined based on theoretical analysis and numerical modeling. A method of deep hole blasting is proposed for risk control of future dynamic disaster during subsequent mining activities around the fault. Finally, the methodology and results of a field trial of the proposed technique are also presented.
2. The FSIRB Mechanism
2.1. Rock Burst Induced by Static Stress Combined with Dynamic Load
A number of studies and field cases show that rock burst is induced by the tremor under the concentrated stress; that is, rock burst is induced by static stress combined with dynamic loads. It can be expressed as [17, 18] where is the static stress in the coal and rock mass; is the dynamic stress induced by the tremor; and is the critical stress required for rock burst. Equation (1) indicates that the higher the superposition of the static load in the coal and dynamic load induced by tremors, the more probability that rock bursts will occur.
This is also the principle of the fault slip burst induced by static and dynamic stress superposition, as shown in Figure 1.
2.2. High Static Stress
Research [19] shows that there is an area, where the vertical stress is increased to 2~3 times more than the rock weight induced stress, near the fault. Due to the preexisting faults in front of the mining panel, the roof is discontinuous and reduces the ability to transfer the stress of overburden strata. As a result, stress concentration occurs in the pillar areas between the mining panel and the fault. Therefore, rock burst disasters happen frequently when mining activities approach the fault.
From analysis of the static stress in the fault pillar and roof strata fracture induced dynamic stress [20], the normal stress, shear stress along the fault, and the average static stress in the fault pillar can be derived. The results show that the high stress in the pillar increases as the mining panel approaches the fault; that is, the stress within the pillar rises with decreasing pillar width and increasing roof fracture length.
2.3. Dynamic Stress
As described above, dynamic stress always originates from mining activities including roof breakage, the movement of overlying strata, coal and rock failure, and fault slip. These could also be termed as mine tremors.
2.3.1. Dynamic Behavior of Stress along the Fault
Based on the anomalously low friction effect, a theoretical block model of anomalously low friction rock burst was established by Li et al. [21], which showed that normal dynamic load on the interface of deep rock mass periodically changes under the vertical impulse load. Li et al. [22] also established the thinlayer interface model and corresponding wave propagation equation could be obtained from the analysis. Based on the abovementioned studies, it is concluded that, with stress wave propagation across the fault, the normal and shear stresses along the fault vary with time and the static friction changes to dynamic friction; thus rock burst will be induced easily.
2.3.2. Attenuation Law of Stress Wave Propagation across the Fault
The stress wave propagation will be reflected, refracted, and absorbed by the discontinuity such as a fault plane, and as a consequence part of the stress wave fails to pass through the fault. This is called the “isolation effect” [15].
Li and Ma [23, 24] investigated stochastic seismic wave interactions with a slippery rock fault. The incident P and Swave propagation law was analytically derived by considering many factors such as impinging angles and intensity of incident waves. There is a distinct difference between the interactions for different types of the incident waves. The Pwaves will almost fully transmit across the fault without attenuation, whilst, in contrast, the Swaves are significantly affected by the fault.
3. Numerical Analysis
Fast Lagrangian Analysis of Continua in 3 Dimensions [25] was used to investigate the stress distribution and dynamic response of the fault during mining. The model assumes a length of 800 m in the strike direction, a width of 400 m in the dip direction, and a height of 130 m, as shown in Figure 2(a).
(a)
(b)
Interface elements are used for the simulation of the fault plane; so as to make the fault slide, it should meetwhere , , and represent shear stress, normal stress, and friction angle of the fault.
Table 1 shows the mechanical properties used in the model.

As regards the combined static and dynamic loading conditions (as defined in Figure 2(b)), the dynamic incident stress pulse, , is applied at the top surface of a model domain after the static boundary stresses are applied. Under the dynamic loading condition, the bottom surface of the domain that has been restrained during the static loading is free from stress. The halfsine stress pulse (as defined in Figure 2(b)) is used because this incident waveform is similar to the halfsine shape. For this waveform, two parameters (including amplitude () and duration ()) are involved in the numerical simulation in order to analyze the effect of the dynamic stress waveform on the fault slip.
During the simulation, the procedure below was followed.
Step 1. The peak mininginduced stress is calculated, which is formed when the mining panel comes close to the fault under static stress conditions.
Step 2. The stress state and the stress wave propagation of the fault under dynamic disturbance are calculated.
Step 3. The burstprone zones between the mining panel and the fault are determined.
3.1. Abutment Stress Distribution
The fault disrupts the distribution of the stress field which leads to significant discontinuity of the abutment stress. To understand the influence of mininginduced stress on the fault, the distance between the fault and mining panel was taken into account. Such distances were set as 70, 60, 50, 40, 30, 20, and 10 m.
The abutment stress distribution during periodic weighting and mining around the fault in the panel along the centre line of mining panel is shown in Figure 3. Figure 3(a) indicates that the peak abutment stress occurs at a distance of 12 m and the coverage of mininginduced stress is about 50 m in front of the mining panel. The vertical stress barely varies, about 16 MPa, at the recorded point along the fault. These results suggest that, when the mining panel is far away from the fault, the peak abutment stress and the stress distribution remain almost constant. However, the stress concentration occurs on the fault which increases with a reduction of the distance between mining panel and the fault (from 70 m to 10 m), as shown in Figure 3(b). The overstress along the fault recorded in these cases varies between 19 and 57 MPa; that is, stress increases of between 19% and 356% are produced. This implies that the smaller the distance between the mining panel and the fault, the greater the accumulation of compression produced.
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3.2. Dynamic Mechanical State of the Fault
The dynamic module was used to investigate the response features of the fault under dynamic disturbance. The normal and shear stresses at the fault were applied to study dynamic behavior of fault slip induced by mining. The ratio between normal and shear stress was defined as the standard for evaluating the slip risk.
The stress evolution along the fault under dynamic analysis was recorded at the point close to the centre of mining panel: m, m. To avoid the damage and failure of the model, the amplitude of the dynamic disturbance () was specified as 30 MPa (with a time duration () of 0.2 s).
3.2.1. Effect of Mining Panel Advance
The change rules for normal and shear stresses varying with time are given in Figure 4. It can be seen that the average period of dynamic load effect is about 0.2 s. There is a clear difference in the stress variation as normal stress at the point gradually decreases from 21.4 MPa to 15.2 MPa, whilst shear stress increases from 2.1 MPa to 6.9 MPa, leading to a rise of the dynamic friction coefficient. Considering the distance between the mining panel and the fault, when the distance is less than 70 m, the stresses along the fault change much more. This indicates that the dynamic behavior of fault slip is sensitive to the distance and it can therefore be concluded that, as mining operation proceeds, the dynamic response of fault slip induced by mining activities becomes increasingly violent.
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3.2.2. Effect of Mining Depth
The model, initially calculated for a depth of around of 500 m, was therefore recalculated for depths of 800 m and 1000 m. Figure 5 shows the results obtained for the models at different depths. As for the effect of mining depth, it is evident from Figure 5 that there are clear relationships between the change in normal and shear stresses of the fault. To better understand these relationships, the detailed data are plotted in Figure 6. It can be seen that, with increasing mining depth, the stress drop of normal stress increases from 3.60 MPa to 8.97 MPa, and the stress rise of shear stress increases from 1.37 MPa to 2.70 MPa. These results suggest that the influence of mining depth is remarkable in that the mining depth is proportional to the stress drop of normal stress and the stress rise of shear stress.
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3.2.3. Effect of Dynamic Disturbance Intensity
The change in stresses along the fault for different dynamic intensities is shown in Figure 7. It can be seen that the dynamic intensity has a large influence on the evolution of stress.
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At the specific value of mining depth (500 m), with the increase of the amplitude of dynamic disturbance intensity, the recorded stresses varies greatly. When MPa, the stress drop of normal stress is almost zero as the stability of the fault does not change; that is, the dynamic behavior can be considered elastic as fault slip burst in this case is more impossible to occur. When MPa, stresses change greatly with the increasing of dynamic intensity.
Thus, it can be seen from Sections 3.2.2 and 3.2.3 that mining depth and dynamic stress wave intensity can be two of the most important factors determining the dynamic behavior of fault slip.
3.2.4. Effect of Fault Angle
In this section, 21 monitoring points were set up at the bottom of the model ( m, m, and m), as shown in Figure 8(a). These were used to observe the dynamic response of vertical stress and velocity. Figures 8(b) and 8(c) show that the second stress redistribution occurs after underground mining activities, which make the curves more complex. However, it basically presents the same rule, the dynamic response of the vertical stress and velocity are anomalous in front of the mining panel, and stress concentration is not obvious at the floor. When the fault angle is 60°, the peak values of vertical stress and velocity reach maximums of 23.02 MPa and 0.0012 m/s, respectively. When the fault angle is 90°, the isolation effect on stress waves is not obvious, and the incident stress waves are almost fully transmitted though the fault.
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According to the above analysis, the following conclusions can be drawn. The dynamic response of the vertical stress and velocity beside the fault are anomalous compared with that on the fault, and the dynamic response of the coal and rock on the side of seismic source will be more serious than that on the other side. With the increasing of fault angles from 0° to 90°, the isolation effect of the fault on stress waves firstly increases and then decreases.
3.2.5. Isolation Effect of the Fault
Similarly, a series of monitoring points were set to investigate the isolation effect of the fault, as shown in Figure 9(a). Figures 9(b) and 9(c) show the propagation and response of stress waves that are influenced by the fault. The stress waves attenuate exponentially with increases in distance to the seismic source. They vibrate at the beginning and then quickly attenuate with the amplitude decreasing significantly after 30 m and becoming very weak after 90 m. However, as the stress waves propagate across the fault, the amplitude shows a further attenuation. These results imply that the fault makes only a part of the energy transmit, which leads to an obvious energy attenuation, while the friction on the fault will also absorb a part of energy.
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4. Control FSIRBs
Based on the study of the FSIRB mechanism and analysis of the numerical model, it can be concluded that fault slip bursts can be controlled by the following detailed methods:(1)Avoidance of high stress concentration is achieved. It provides the stress basis for rock burst induced by the dynamic load. Thus, some measures should be adopted to reduce the stress concentration such as large diameter drilling and destress blasting in the coal seam.(2)Avoid the formation of strong tremors to eliminate high dynamic load and presplit the roof above the coal seam to reduce the dynamic load.(3)Based on static and dynamic stress superposition, techniques can be used to induce rock burst artificially and release the elastic strain energy accumulated in coal and rock and reduce the stress concentration and prevent dynamic disaster induced by rock burst.
4.1. Technique of BreakTip Blast (BTB)
To mitigate rock burst risk during mining activities in the fault area, based on the mining condition of panel 3206, the application of the BTB method had been proposed for dynamic disaster control.
The primary aim of BTB is to control rock burst by fracturing the structure of coal and rock, so as to reduce the stress concentration and increase the attenuation of dynamic load. In China, previous BTB trials have been reported to handle the thick and hard roof which is often difficult to cave [26, 27].
However, few research studies or field trials have evaluated the efficacy of BTB to control fault slip bursts in coal mining, particularly as the mining technological conditions and geological structure are complex.
4.2. Stress Analysis and Stress Waves Propagation before and after Blasting
The essence of the BTB technique is to reduce the intensity of rock in local area. can change the parameters of the model material. The mechanical parameters of rock mass in the crushed zone should be decreased to onefifth of the original during calculation of the stress state of surrounding rock after blasting [28].
In this section, the monitor locations are consistent with those in Sections 3.1 and 3.2.5. The BTB method was implemented at a distance of 5 m in front of the fault. Figure 10 shows the stress distribution in the roof before and after blasting when the mining panel comes near to the fault. The mininginduced stress of the fault is much lower after blasting than before blasting, decreased from 38.06 MPa to 33.02 MPa (Figure 10(b)). This leads to a value for stress drop of 13%, indicating that more effective stress relief is obtained after blasting.
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Lastly, the isolation effect of the fault before and after blasting is shown in Figure 11. The difference in dynamic response of the fault between the two models is not obvious, the peak value of vertical stress drop is only 0.2 MPa, and the peak value of vertical velocity drop is only 0.05 m/s. This is because the above analysis concerns the simulated results of a single hole. So, it can be concluded that the effect of pressure relief will be more evident, after a group of blast holes being cut.
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5. Field Trial of Fault Blasting
5.1. Site Description
The selected coal panel is in the Chaoyang Coal Mine in Shandong Province, China. Longwall mining with sublevel caving technology was adopted for the underground mining of number 3 coal seam, whose thickness varies from 2 to 7.5 m. The main strata configuration is uniclinal with an average angle of 16°. The cover depth of number 3 coal seam is about 900 m which is in high risk of rock burst. The roof strata are mainly composed of silt and fine sandstone with a thickness of 5–15 m.
Plan view of the 3206 mining district is illustrated in Figure 12, and panel 3205 is situated next to panel 3206 in the northwest. The length of longwall panel 3206 is 303 m and its width is 111 m. The mining in this panel began on October 28, 2013, and was completed on July 29, 2014.
In the northwest, lies fault Fushan (fault throw is about 300 m and fault inclination varies from 30° to 50°) and the distance between panel 3206 and the fault is about 100 m. A small fault F32061 situates in the middle of the panel. The other parts of the area next to panel 3206 are not extracted.
5.2. Monitoring Measures
The Poland SOS system was installed in the Chaoyang Coal Mine. The system is comprised of signal acquisition station, recorder system, and analyzer system in primary station on the ground and detection probes underground. Detection probes receive the electric signal transformed by speed signal of coal and rock shock initially before transferring to primary station on the ground via the communication cable. The signal is collected, enlarged, and transferred according to the signal acquisition station. Then, the signals are recorded and saved by the recorder system. Finally, the analyzer system is used to analyze and calculate the location of mine tremors and their energy.
5.3. Preventative Measures and Their Effects
To weaken the effect of dynamic stress induced by the first weighting and fault activation, a group of BTB holes were added at the track gate. The schematic diagram (of both the section and the plan) of the adopted design for the BTB in the panel is illustrated in Figure 13. All of the boreholes were drilled upwards at angles between 20° and 70°; the borehole lengths varied from 18 m to 31 m.
The seismic monitoring in longwall panel 3206 provided a map of the recorded seismic events, along with a summary graph of the recorded seismic energy in the area of the longwall panel. Figures 14 and 15 show plots of the recorded seismic activity with respect to the longwall drivage, advance, and the breaktip blasting around the fault in panel 3206. The seismic activity is predominantly recorded from three areas: Fault Fushan, Fault 32061, and parts of mining panel beside the gob. The statistical results showed that the recorded seismic activity is sensitive to the fault in the panel. After taking the BTB method, the number of seismic events with high energy levels (>1000 J) was dramatically lower (blue and yellow ellipses in Figures 15(a) and 15(b)) in the 240day mining period (October 28, 2013, to February 18, 2014) than in the 204day driving period (February 2, 2013, to September 16, 2013). Continuous observations of the recorded seismic activity with respect to the mining progress in the panel showed that the breaktip blasting effectively controlled the fault activation.
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6. Conclusion
In this paper, static stress analysis and dynamic response were conducted to investigate the influence of the distance between the mining panel and fault, mining depth, dynamic disturbance intensity, and fault angle on fault slip induced by stress waves. Numerical models considering the above factors were generated by software. It can be concluded that mining depth and dynamic disturbance intensity have strong influences on the stress change along the fault. Similarly, normal stress drop and shear stress rise due to mining increases with decreasing distance between the mining panel and fault. Also, the attenuation law of stress wave propagation across the fault was investigated. The isolation effect is shown to firstly increase and then decrease with the increasing fault angle from 0° to 90°. As seen from the field trail, adopted design of the breaktip blasting also reduces the range and the amount of mining induces stress concentration around the fault.
Conflict of Interests
The authors declare that there is no conflict of interests regarding the publication of this paper.
Acknowledgments
This work was supported and financed by the Research and Innovation Project for College Graduates of Jiangsu Province (no. CXZZ12_0949), the National Natural Science Foundation of China and the Shenhua Group Corporation Limited (no. 51174285), the Fundamental Research Funds for the Central Universities (no. 2014XT01), and the Priority Academic Program Development of Jiangsu Higher Education Institutions (no. SZBF20116B35).
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Copyright © 2016 Guangan Zhu 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.