CN114047316A - Device and method for detecting slope stability - Google Patents
Device and method for detecting slope stability Download PDFInfo
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Abstract
The invention discloses a device and a method for detecting slope stability, wherein the device comprises: the sensor array is arranged in each detection hole along the depth direction and comprises a plurality of temperature sensors and a plurality of inclination angle sensors; the upper computer is used for acquiring detection data of the sensor array; determining temperature values of different depths of the detection hole according to detection data of the temperature sensor, and setting the position of the temperature sensor with the temperature change range exceeding a preset temperature change range as an infiltration area to identify an infiltration channel; determining the inclination angles of the detection holes at different depths according to the detection data of the inclination angle sensor, and setting the position of the inclination angle sensor with the inclination angle change range exceeding the preset inclination angle range as a suspected weak interlayer region; and determining the weak interlayer region according to the spatial distribution information of the seepage channel in the suspected weak interlayer region. The scheme can quickly, accurately and efficiently judge and identify the positions of the seepage channel and the weak interlayer in the side slope, and is low in cost, simple and easy to implement.
Description
Technical Field
The invention relates to the technical field of geotechnical engineering, in particular to a device and a method for detecting slope stability.
Background
With the continuous development of surface mining towards deep, high-strength and large-scale development, slope instability disasters become the type of disasters with the highest frequency of surface mining, and the disasters seriously threaten the safety and high-efficiency production of mines and the life safety of operating workers. The main internal and external causes affecting the slope stability of surface mines are usually weak intercalated layers and seepage. The surface mine slope rock mass is generally provided with a soft interlayer which is composed of clay shale, soft tuff, marl, talc schist and rock salt or gypsum and the like. The weak interlayer has the characteristics of low strength, small density and large deformation, is often a potential sliding surface of the mine side slope, and plays a role in controlling the stability of the side slope and the final side slope in the process of the mine. Meanwhile, the weak interlayer is also a good seepage channel for water, and the mechanical property deterioration of the interlayer itself is aggravated by the water-rock effect, so that the rheological property of the weak interlayer is more obvious. Therefore, accurate detection of the soft and weak interlayer and the seepage channel of the side slope plays a crucial role in stability evaluation and safe construction of the mine side slope. Therefore, the weak interlayer and the seepage channel of the side slope need to be detected to determine the stability of the side slope. The current weak interlayer detection and seepage channel detection are selected from the following modes:
detecting a weak interlayer: since the weak interbed is often a layer which is easy to lose in drilling, it is very difficult to identify the position of the weak interbed by adopting a drilling mode. In the methods for identifying the weak interlayer by the geophysical logging technologies such as resistivity logging, induction logging, natural gamma logging, acoustic array logging and the like, a single logging curve is used for judging the weak interlayer, so that a large error exists, and a plurality of logging methods must be integrated to improve the identification and detection effect, so that the detection mode is complicated.
And (3) seepage channel detection: usually, pressure detection methods such as an observation hole, a piezometer and an osmometer are adopted for sensing, but the defects of low measurement resolution, high cost and the like exist due to the large distance between the arranged sections.
How to efficiently and accurately detect the soft interlayer and the seepage channel of the surface mine slope still remains a technical problem to be solved urgently at present.
Disclosure of Invention
The invention aims to solve the technical problems that the existing slope stability detection method is complex in construction and low in accuracy, and therefore the invention provides a device and a method for detecting the slope stability.
In order to solve the technical problems, the invention provides the following technical scheme:
some embodiments of the invention provide a device for detecting slope stability, comprising:
the method comprises the following steps of (1) detecting holes, after a side slope detection area is determined, arranging a plurality of monitoring lines from the top of a slope to a slope angle, arranging a plurality of detecting holes on each monitoring line, and enabling the depth of each detecting hole to be below a bedrock surface;
a sensor array disposed in a depth direction in each of the probe holes, the sensor array including a plurality of temperature sensors and a plurality of tilt sensors;
the upper computer is used for collecting the detection data of the sensor array; determining temperature values of different depths of the detection hole according to detection data of the temperature sensor, and setting the position of the temperature sensor with the temperature change range exceeding a preset temperature change range as an infiltration area to identify an infiltration channel; determining the inclination angles of the detection holes at different depths according to the detection data of the inclination angle sensor, and setting the position of the inclination angle sensor with the inclination angle change range exceeding the preset inclination angle range as a suspected weak interlayer region; and determining the weak interlayer region according to the spatial distribution information of the seepage channel in the suspected weak interlayer region.
The device for detecting slope stability provided in some embodiments of the present invention:
the monitoring lines are arranged by adopting a main-auxiliary profile method, the main monitoring line is positioned in the middle of a side slope detection area, auxiliary monitoring lines are arranged on two sides of the main monitoring line, a plurality of detection holes are arranged on each monitoring line, and the number of the detection holes on the main monitoring line is not less than 3.
The device for detecting slope stability provided in some embodiments of the present invention:
in the sensor array, a temperature sensor and a tilt sensor form a sensing assembly; the height difference between two adjacent sensing assemblies is in the range of 0.5 m-1 m.
The device for detecting slope stability provided in some embodiments of the present invention:
the arrangement density of the sensing assemblies in the same detection hole is different, and the pre-estimated density of the sensing assemblies at the position of the weak interlayer is higher.
The device for detecting slope stability provided in some embodiments of the present invention:
and the upper computer determines the area where the suspected weak interlayer area and the seepage channel are overlapped as the weak interlayer area.
The device for detecting slope stability provided in some embodiments of the present invention:
the upper computer is provided with a display screen, and the display screen is used for displaying the spatial arrangement mode of the sensor arrays in the side slope area and the detection result of each sensor array; and displaying the seepage channel and the suspected weak interlayer region according to the detection result.
The device for detecting slope stability provided in some embodiments of the present invention:
the tilt sensor is a three-axis MEMS sensor, and the tilt sensor is placed in the following manner: the depth directions of the Z-axis detection holes are parallel; the X axis is parallel to the main sliding direction of the side slope; the Y axis is perpendicular to the main sliding direction of the side slope, and the inclination angle theta between the inclination angle sensor and the vertical direction is as follows:
wherein A isX,OUT、AY,OUT、AZ,OUTAnd the acceleration values output by X-axis, Y-axis and Z-axis measurement of the three-axis MEMS sensor are respectively.
Some embodiments of the present invention provide a method for detecting slope stability by using any one of the above devices for detecting slope stability, including the following steps:
collecting temperature field distribution data and deformation field distribution data in a slope detection area;
and determining a weak interlayer region in the slope detection region according to the temperature field distribution data and the deformation field distribution data.
In the method for detecting slope stability provided in some embodiments of the present invention, the step of collecting temperature field distribution data and deformation field distribution data in the slope detection region includes:
if a change process from a steady state to a disturbance state and then to the steady state exists in the temperature field distribution data, or a change process from high temperature to low temperature and then to high temperature exists, the position where the disturbance state or the low temperature exists is used as a seepage channel;
if the deformation of the deformation field distribution data exceeds a preset range area, taking the area as a suspected weak interlayer area;
and determining the overlapping area of the suspected weak interlayer area and the seepage channel as the weak interlayer area.
The method for detecting slope stability provided in some embodiments of the present invention further includes the following steps:
performing inversion processing on the temperature field distribution data and the deformation field distribution data by adopting a thermal-flow-solid coupling numerical modeling algorithm and a parameter inversion algorithm to obtain a permeability coefficient prediction value of a seepage channel and a prediction result of a slope sliding progressive process;
and obtaining a prediction result of the slope stability according to the prediction value of the permeability coefficient and the prediction result of the slope sliding progressive process. Compared with the prior art, the technical scheme of the invention has the following technical effects:
the device and the method for detecting the slope stability adopt a tracing and measuring principle of double physical quantities of temperature detection and deformation detection to detect a slope seepage channel and a weak interlayer. Based on the physical characteristic that the temperature field of a seepage channel is far lower than the temperature field of surrounding rock and soil bodies in the process that snow melt infiltrates into the side slope during the spring thawing period, a temperature sensor is used for sensing the temperature curve abnormal area and identifying the side slope seepage channel; based on the physical characteristics that the weak interlayer is not only a seepage channel but also a main sliding area of the side slope, the dip angle sensor is utilized to sense a deep sliding severe deformation abnormal area of the side slope, the seepage channel spatial distribution information is superposed, and the position of the side slope weak interlayer is identified. The scheme provided by the invention can quickly, accurately and efficiently judge and identify the positions of the seepage channel and the soft interlayer in the surface mine slope, and is low in construction cost, simple and easy to implement.
Drawings
The objects and advantages of the present invention will be understood by the following detailed description of the preferred embodiments of the invention, taken in conjunction with the accompanying drawings, in which:
fig. 1 is a schematic structural diagram of a device for detecting slope stability according to an embodiment of the present invention;
fig. 2 is a schematic overall structure diagram of a slope stability detecting device according to another embodiment of the present invention;
FIG. 3 is a flowchart of a method for detecting slope stability according to an embodiment of the present invention;
fig. 4 is a flowchart of a method for detecting slope stability according to another embodiment of the present invention.
Detailed Description
The technical solutions of the present invention will be described clearly and completely with reference to the accompanying drawings, and it should be understood that the described embodiments are some, but not all embodiments of the present invention. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
In the description of the present invention, it should be noted that the terms "center", "upper", "lower", "left", "right", "vertical", "horizontal", "inner", "outer", etc., indicate orientations or positional relationships based on the orientations or positional relationships shown in the drawings, and are only for convenience of description and simplicity of description, but do not indicate or imply that the device or element being referred to must have a particular orientation, be constructed and operated in a particular orientation, and thus, should not be construed as limiting the present invention. Furthermore, the terms "first," "second," and "third" are used for descriptive purposes only and are not to be construed as indicating or implying relative importance.
In the description of the present invention, it should be noted that, unless otherwise explicitly specified or limited, the terms "mounted," "connected," and "connected" are to be construed broadly, e.g., as meaning either a fixed connection, a removable connection, or an integral connection; they may be connected directly or indirectly through intervening media, or they may be interconnected between two elements. The specific meanings of the above terms in the present invention can be understood in specific cases to those skilled in the art.
In addition, the technical features involved in the different embodiments of the present invention described below may be combined with each other as long as they do not conflict with each other.
The present embodiment provides a device for detecting slope stability, as shown in fig. 1, including:
and after determining a side slope detection area, arranging a plurality of monitoring lines from the top of a slope to a slope angle of the slope in the detection holes 100, wherein each monitoring line is provided with a plurality of detection holes 100, and the depth of each detection hole 100 reaches the position below the surface of the bedrock and reaches 3-5 m below the surface of the relatively complete bedrock. When the position of the detection hole 100 is used as a monitoring point, a monitoring network consisting of monitoring points and monitoring lines is formed in a side slope area, and in the concrete implementation, the monitoring lines are arranged by adopting a main-auxiliary profile method, the main monitoring lines are positioned in the middle of the side slope and extend from the top of the side slope to the slope angle, and auxiliary oblique measuring lines can be arranged on two sides of the main monitoring lines. And a plurality of detection holes 100 are distributed on each monitoring line, wherein the number of the detection holes on the main monitoring line is not less than 3, and if the length of the slope is longer, one detection hole can be arranged at a set interval as a criterion. The final hole of the probe hole 100 should pass through the slip band into the more complete bedrock face. The specific drilling process comprises the following steps: positioning an orifice, namely measuring an orifice three-dimensional space coordinate of a deep displacement monitoring borehole on a side slope by using a total station according to a preset monitoring scheme; drilling a geological borehole by using an engineering drilling machine, wherein the inclination of the drilled hole is not more than 2 degrees, the diameter of the drilled hole is 1.2 times (about 110mm) of the outer diameter of the inclinometer pipe, and the depth of the drilled hole is slightly deeper than the total length of the inclinometer pipe (the drilling depth is 0.5m more than every 10 m); and cleaning the hole, pumping clear water into the drill hole after the drill reaches a preset position until muddy water becomes clear water, and immediately installing a PVC pipe after the drill is lifted to obtain the detection hole.
A sensor array disposed in a depth direction within each of the probe holes 100, the sensor array including a plurality of temperature sensors 1011 and a plurality of tilt sensors 1012. Preferably, in the sensor array, one temperature sensor 1011 and one tilt sensor 1012 are integrated into one sensing assembly 101, the sensing assembly 101 is distributed in the detection hole from the bottom of the hole to the hole, the temperature sensor 1011 and the tilt sensor 1012 appear in pairs, and each pair of sensors is arranged at the same depth of the detection hole 100, so that the temperature distribution data and the deformation distribution data in the slope detection area are aimed at the same spatial position.
The upper computer 200 is used for collecting detection data of the sensor array; determining temperature values of different depths of the detection hole 100 according to detection data of the temperature sensor 1011, and setting the position of the temperature sensor with the temperature change range exceeding the preset temperature change range as an infiltration area to identify the seepage channel A; determining the inclination angles of the detection holes at different depths according to the detection data of the inclination angle sensor 1012, and setting the position of the inclination angle sensor with the inclination angle change range exceeding the preset inclination angle range as a suspected weak interlayer region B; and determining the weak interlayer region according to the spatial distribution information of the seepage channel in the suspected weak interlayer region. As shown in fig. 1, if seepage channels a are distributed in a suspected weak interlayer region B at the same time, i.e. a region a + B in the figure, such a region is determined to be a weak interlayer region.
In this embodiment, the upper computer 200 may implement data acquisition and transmission by using a wireless transmission mode, may acquire the rock-soil body temperature sensed by the temperature sensors in each detection hole and the rock-soil deformation data sensed by each tilt sensor at regular time 24 hours per day, and wirelessly transmit the rock-soil body temperature and the rock-soil deformation data to the cloud server 300, so as to obtain the hole depth-temperature time series historical data and the hole depth-deformation time series historical data of each detection hole of the side slope, and then may determine the weak interlayer according to the distribution conditions of temperature and deformation. The cloud data monitoring center receives time sequence monitoring data transmitted by the field detection equipment in a wireless and remote mode on line, the time sequence monitoring data are stored in a cloud database in a unified mode, and a clustering learning algorithm is called to conduct seepage channel and weak interlayer position interpretation. On one hand, the side slope seepage channel spatial distribution area is clustered by identifying the measuring points with abnormal temperature during the spring thawing period. On the other hand, the spatial distribution areas of the soft and weak interlayers are clustered by identifying the inclined abnormal measuring points during the period of snow melting in spring and rainfall in rainy season and simultaneously superposing the spatial distribution information of the seepage channels. Interpretation analysis is continuously carried out by taking hydrologic years as a unit, positions of the seepage channel and the weak interlayer are continuously corrected and positioned by deep mining of accumulated monitoring data, and detection effects of the seepage channel and the weak interlayer are gradually improved.
The number of the upper computers 200 can be determined according to the field conditions, one upper computer 200 can be arranged for each detection hole 100, and the upper computer 200 collects data sent by all the sensing assemblies 101 in one detection hole 100. An upper computer 200 can also be arranged for a plurality of detection holes 100, and the upper computer 200 collects data sent by all the sensing assemblies 101 in the plurality of detection holes 100. In fig. 2, only two sensing assemblies 101 are schematically illustrated as corresponding to one upper computer 200, but the corresponding relationship between the sensing assemblies and the upper computer is not limited.
In the implementation process of this embodiment, the upper computer 200 determines the area where the suspected weak interlayer area and the seepage passage overlap as the weak interlayer area, and the determination is implemented based on the actual situation that a large number of surface mines are distributed in the seasonal frozen soil area. During freezing in winter, the surface of the open-pit mine side slope in the seasonal frozen soil area is covered with accumulated snow to form a frozen soil layer with the thickness of 1-3m, the temperature of less than 0 ℃ and ice-soil-rock mixture. Due to the low thermal conductivity and the geothermal action, the temperature field distribution of deep rock-soil layers below the frozen soil layer is uniform and constant and is far higher than 0 ℃. During the spring thawing period, the low-temperature snow melting at the surface layer of the side slope, which is close to 0 ℃, infiltrates and supplies underground water, a low-temperature field is formed near the seepage channel, and an obvious temperature difference exists between the low-temperature field and a high-temperature field of the surrounding deep rock soil body. On the basis, the temperature of the seepage channel is lower than that of the soil body of the surrounding rock stratum, and meanwhile, the temperature fluctuation of the seepage channel is higher than that of the soil body of the surrounding rock stratum (namely, the temperature of the soil body of the rock stratum is more constant). Therefore, a new way is provided for developing a low-cost, automatic and real-time dynamic mine slope seepage channel identification method by analyzing the abnormal area of the temperature-depth curve in the slope drill hole during the spring thawing period. Meanwhile, considering that the soft interlayer of the side slope of the open-pit mine is not only a good seepage channel for water but also a potential sliding area of the side slope, the abnormal area with violent inclined deformation in the drilled hole of the non-side slope is probably caused by the influence of the soft interlayer, and on the basis, the seepage channel spatial distribution information is superposed, so that the soft interlayer of the side slope of the mine can be further accurately identified.
In some schemes, the upper computer 200 is configured with a display screen, and the display screen is used for displaying the spatial arrangement mode of the sensor arrays in the side slope area and the detection result of each sensor array; and displaying the seepage channel and the suspected weak interlayer region according to the detection result. The detection result is displayed through the display screen, so that the worker can visually see the detection result. For example, the display screen displays a three-dimensional coordinate system of a slope region, the three-dimensional coordinate displays X-axis coordinates and Y-axis coordinates of the slope region in the horizontal direction, the depth direction is taken as Z-axis coordinates, an occupied interval of the detection hole in the three-dimensional coordinate system, a coordinate point of a position of the sensing assembly in the three-dimensional coordinate system, and the like can be embodied. The display screen can also display a temperature curve and an inclination angle curve in a three-dimensional coordinate system, so that a seepage channel and a suspected weak interlayer region can be easily found, and a superposed region of the seepage channel and the suspected weak interlayer region is used as a final weak interlayer region.
Furthermore, each sensing component 101 may be disposed in a light alloy circular tube, the length of the light alloy circular tube is selected from 450mm to 950mm as a unit, and one or more sensing components may be disposed in the same section of light alloy circular tube. Different light alloy circular tubes are connected through the flexible joint, the flexible joint 102 has flexibility, not only can realize the connection between two adjacent pipe bodies, but also can absorb the deformation energy brought to the sensing assembly in the deformation process of the detection hole, thereby ensuring that the structure of the sensing assembly is not damaged and ensuring that the result obtained by the sensing assembly is more accurate under the premise that the sensing assembly deforms along with the detection hole in a coordinated manner.
In the above solution, the step of placing the sensing array in the detection hole includes: and connecting a first section of light alloy circular tube in the sensing array with the auxiliary counter bore steel wire rope to prevent the light alloy circular tube from rapidly sliding into the detection hole due to careless operation in the counter bore process of the light alloy circular tube, and then sequentially putting each section of light alloy circular tube until the last section of light alloy circular tube is sunk. The sensing assembly is realized by selecting the MEMS triaxial accelerometer, when the sensing assembly is prevented, X, Y directions in the sensing assembly are ensured to be aligned to all measuring directions of the side slope, a lead of the sensing assembly is led to a data input interface of an upper computer, and the selected position has good isolation performance and is not affected by humidity. And finally, backfilling the detection hole, wherein the gap between the hole wall and the light alloy circular tube body needs to be densely backfilled, and the gap can be backfilled by adopting medium sand. The purpose of adopting the medium sand for backfilling is to ensure that the backfilling is compact on one hand, and on the other hand, the underground water can conveniently permeate to the periphery of the light alloy circular tube body, so that the underground water temperature in the seepage channel can be accurately measured by the sensing assembly. And pouring dry sand into the orifice, slightly shaking the inclinometer pipe, and pouring the sand at a constant speed. If there is no dry sand, the wet sand is mixed with water to form fluid, and the fluid is poured into the gap, and after the precipitation, the fine sand is supplemented until the backfill is compact. After backfilling is finished, the light alloy round pipe fitting with the length of 0.3-0.5 m is exposed outside the drilled hole, a data line of the sensing assembly above the hole opening is protected, and then the data line is led to an upper computer.
As mentioned above, the temperature sensor and the tilt sensor in the above schemes are implemented by selecting an MEMS sensor, and the MEMS tilt sensor in the light alloy circular tube body can use the measured triaxial gravitational acceleration response to resolve the spatial tilt angle of the position of the sensor. The tilt sensor is placed as follows: the Z axis is parallel to the depth direction of the detection hole along the direction of the measurement unit; the X axis is perpendicular to the direction of the sensing assembly and is parallel to the main sliding direction of the side slope area; the Y-axis is perpendicular to the sensing assembly direction and perpendicular to the main sliding direction of the side slope region. The formula for solving the inclination angle theta between the sensing assembly and the gravity vertical line is as follows:
wherein A isX,OUT、AY,OUT、AZ,OUTAnd the acceleration values output by X-axis, Y-axis and Z-axis measurement of the three-axis MEMS sensor are respectively.
Specifically, the sensor array within the same detection bore: the height difference between two adjacent sensing assemblies 101 is in the range of 0.5m to 1m, for example 0.8 m. Preferably, the sensor arrays in the same detection hole are arranged in different densities, and the density of the sensor arrays at the position of the soft interlayer estimated in advance is higher. The position of the soft interlayer estimated in advance can be determined according to historical experience values, mining data can be recorded in detail during mining of each mine, the mining data of an area close to a currently detected slope area or an area with similar environmental parameters can be investigated, and the position of the soft interlayer in the currently detected slope area can be estimated according to the position of the soft interlayer recorded in the mining data of the similar area.
The method provided by the embodiment has lower detection cost, at present, deep displacement monitoring becomes an important content in a mine slope monitoring system, deep displacement monitoring equipment is generally arranged on key slopes, and the displacement monitoring equipment has a temperature compensation function, so that the temperature compensation function can be matched with a temperature measurement sensor when being realized, the deep displacement monitoring at present generally has a temperature sensor, and only monitoring data of the temperature sensor is used for a temperature compensation algorithm. This scheme can directly utilize to have deep displacement monitoring facilities, need not the increase cost prerequisite, realizes "temperature + two physical quantity tracer of deformation and surveys, at the inside damaged in-process that warp of monitoring side slope, utilizes temperature tracer and inclination tracer, surveys infiltration channel and weak intermediate layer simultaneously, provides many first basic data support for scientific evaluation mine side slope stability.
The embodiment further provides a method for detecting slope stability by using the device for detecting slope stability, which includes the following steps:
s101: and collecting temperature field distribution data and deformation field distribution data in the slope detection area.
S102: and determining a weak interlayer region in the slope detection region according to the temperature field distribution data and the deformation field distribution data.
Based on the physical characteristic that the temperature field of a seepage channel is far lower than the temperature field of surrounding rock and soil bodies in the process that snow melt infiltrates into the side slope during the spring thawing period, temperature sensors are utilized to monitor the temperature change conditions of different depths of a drill hole, the position of the sensor with abnormal temperature response (constant state/high temperature- > disturbance state/low temperature- > constant state/high temperature) is set as an infiltration area, and the side slope seepage channel is identified. Based on the physical characteristics of the weak interlayer, namely not only the seepage channel, but also the main sliding area of the side slope, the inclination angle sensor is utilized to monitor the abnormal area condition of the inclined deformation at different depths of the drill hole, the position of the sensor with severe inclined deformation is set as a suspected weak interlayer area, the seepage channel space distribution information determined by temperature tracing is superposed, and the position of the weak interlayer is further identified.
The scheme has higher detection precision. On the one hand, the temperature is used as a natural tracer to carry out seepage channel detection, so that the environment is not polluted, the assay is not needed, and the measurement is easy. Meanwhile, in the process of low-temperature snow melting infiltration in the spring freezing period, the obvious temperature difference exists between the low-temperature field of the seepage channel and the high-temperature field of the surrounding rock-soil body, so that physical conditions are created for accurate detection of the seepage channel; on the other hand, the method takes deformation as a natural tracer to detect the weak interlayer, and simultaneously superposes the spatial distribution information of the seepage channel, so that the accurate detection of the weak interlayer can be ensured. Furthermore, the scheme adopts the same-hole simultaneous measurement method. Namely, the temperature change and the inclined deformation of the rock-soil body are monitored at the same time in the same drilling hole and the same hole depth, so that the potential weak interlayer in the side slope can be accurately identified by comprehensively utilizing the 'temperature + deformation' double-trace physical quantity.
Further, in the step of collecting temperature field distribution data and deformation field distribution data in the slope detection area: if a change process from a steady state to a disturbance state and then to the steady state exists in the temperature field distribution data, or a change process from high temperature to low temperature and then to high temperature exists, the position where the disturbance state or the low temperature exists is used as a seepage channel; if the deformation of the deformation field distribution data exceeds a preset range area, taking the area as a suspected weak interlayer area; and determining the overlapping area of the suspected weak interlayer area and the seepage channel as the weak interlayer area. The steady state is based on the constancy of the temperature of the rock soil, and the temperature fluctuation does not exceed a certain value according to the characteristics of the rock soil, so the rock soil is regarded as the steady state. The disturbed state is caused by that water permeates in the seepage channel and is doped with different substances, so that the temperature fluctuation is large and is at least several times of the rock-soil temperature fluctuation. And the high temperature or the low temperature is also based on the rock-soil characteristic analysis, and considering that the seepage channel is arranged in the middle of the rock-soil, the temperature distribution should be that one distribution curve is arranged at the rock-soil position, and the other distribution curve is arranged in the seepage channel, so that a different curve is clamped between two same curves, and the seepage channel can be easily determined.
In the above scheme, the method further comprises the following steps:
s103: and performing inversion processing on the temperature field distribution data and the deformation field distribution data by adopting a thermal-flow-solid coupling numerical modeling algorithm and a parameter inversion algorithm to obtain a permeability coefficient prediction value of a seepage channel and a prediction result of a slope sliding progressive process. The heat-flow-solid coupling numerical modeling algorithm and the parameter inversion algorithm are common methods in the field of geotechnical engineering, the method is directly used in the step to obtain the distribution condition of temperature and deformation, the seepage degree of water in a seepage channel can be predicted after the seepage coefficient is predicted,
s104: and obtaining a prediction result of the slope stability according to the prediction value of the permeability coefficient and the prediction result of the slope sliding progressive process. A two-dimensional/three-dimensional numerical model of the mine slope is established by adopting a thermal-flow-solid coupling numerical modeling technology, the flow velocity and the permeability coefficient of a seepage field are inverted according to the time sequence data of a temperature field acquired on site, the slope deformation damage mode and the current progressive damage state are inverted according to the time sequence data of a horizontal displacement field acquired on site, the slope safety coefficient is further calculated, the future disaster risk level is predicted, and scientific decision support is provided for optimizing a slope mining scheme and ensuring the safe production of the mine. The traditional detection mode is changed into a long-term monitoring mode, and the positions of a seepage channel and a weak interlayer are gradually focused and positioned by continuously acquiring the time sequence data of a temperature field and a deformation field on site and carrying out deep excavation analysis. This change in detection mode helps to further improve the detection of seepage channels and weak interlayers.
It should be understood that the above examples are only for clarity of illustration and are not intended to limit the embodiments. Other variations and modifications will be apparent to persons skilled in the art in light of the above description. And are neither required nor exhaustive of all embodiments. And obvious variations or modifications therefrom are intended to be within the scope of the invention.
Claims (10)
1. An apparatus for detecting slope stability, comprising:
the method comprises the following steps of (1) detecting holes, after a side slope detection area is determined, arranging a plurality of monitoring lines from the top of a slope to a slope angle, arranging a plurality of detecting holes on each monitoring line, and enabling the depth of each detecting hole to be below a bedrock surface;
a sensor array disposed in a depth direction in each of the probe holes, the sensor array including a plurality of temperature sensors and a plurality of tilt sensors;
the upper computer is used for collecting the detection data of the sensor array; determining temperature values of different depths of the detection hole according to detection data of the temperature sensor, and setting the position of the temperature sensor with the temperature change range exceeding a preset temperature change range as an infiltration area to identify an infiltration channel; determining the inclination angles of the detection holes at different depths according to the detection data of the inclination angle sensor, and setting the position of the inclination angle sensor with the inclination angle change range exceeding the preset inclination angle range as a suspected weak interlayer region; and determining the weak interlayer region according to the spatial distribution information of the seepage channel in the suspected weak interlayer region.
2. The apparatus for detecting slope stability according to claim 1, wherein:
the monitoring lines are arranged by adopting a main-auxiliary profile method, the main monitoring line is positioned in the middle of a side slope detection area, auxiliary monitoring lines are arranged on two sides of the main monitoring line, a plurality of detection holes are arranged on each monitoring line, and the number of the detection holes on the main monitoring line is not less than 3.
3. The apparatus for detecting slope stability according to claim 1, wherein:
in the sensor array, a temperature sensor and a tilt sensor form a sensing assembly; the height difference between two adjacent sensing assemblies is in the range of 0.5 m-1 m.
4. The apparatus for detecting slope stability according to claim 3, wherein:
the arrangement density of the sensing assemblies in the same detection hole is different, and the pre-estimated density of the sensing assemblies at the position of the weak interlayer is higher.
5. The apparatus for detecting slope stability according to claim 1, wherein:
and the upper computer determines the area where the suspected weak interlayer area and the seepage channel are overlapped as the weak interlayer area.
6. The apparatus for detecting slope stability according to any one of claims 1-5, wherein:
the upper computer is provided with a display screen, and the display screen is used for displaying the spatial arrangement mode of the sensor arrays in the side slope area and the detection result of each sensor array; and displaying the seepage channel and the suspected weak interlayer region according to the detection result.
7. The apparatus for detecting slope stability according to claim 6, wherein the tilt sensor is a three-axis MEMS sensor, and the tilt sensor is placed in the following manner: the depth directions of the Z-axis detection holes are parallel; the X axis is parallel to the main sliding direction of the side slope; the Y axis is perpendicular to the main sliding direction of the side slope, and the inclination angle theta between the inclination angle sensor and the vertical direction is as follows:
wherein A isX,OUT、AY,OUT、AZ,OUTAnd the acceleration values output by X-axis, Y-axis and Z-axis measurement of the three-axis MEMS sensor are respectively.
8. A method for detecting slope stability by using the apparatus for detecting slope stability of any one of claims 1-7, comprising the steps of:
collecting temperature field distribution data and deformation field distribution data in a slope detection area;
and determining a weak interlayer region in the slope detection region according to the temperature field distribution data and the deformation field distribution data.
9. The method for detecting slope stability according to claim 8, wherein the step of collecting the temperature field distribution data and the deformation field distribution data in the slope detection area comprises:
if a change process from a steady state to a disturbance state and then to the steady state exists in the temperature field distribution data, or a change process from high temperature to low temperature and then to high temperature exists, the position where the disturbance state or the low temperature exists is used as a seepage channel;
if the deformation of the deformation field distribution data exceeds a preset range area, taking the area as a suspected weak interlayer area;
and determining the overlapping area of the suspected weak interlayer area and the seepage channel as the weak interlayer area.
10. The method of detecting slope stability of claim 9, further comprising the steps of:
performing inversion processing on the temperature field distribution data and the deformation field distribution data by adopting a thermal-flow-solid coupling numerical modeling algorithm and a parameter inversion algorithm to obtain a permeability coefficient prediction value of a seepage channel and a prediction result of a slope sliding progressive process;
and obtaining a prediction result of the slope stability according to the prediction value of the permeability coefficient and the prediction result of the slope sliding progressive process.
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN116298192A (en) * | 2023-02-09 | 2023-06-23 | 中国地质大学（武汉） | System and method for testing frozen soil landslide model under combination of temperature, rainfall and reservoir water |
| CN117349779A (en) * | 2023-12-04 | 2024-01-05 | 水利部交通运输部国家能源局南京水利科学研究院 | Method and system for judging potential sliding surface of deep-excavation expansive soil channel side slope |
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Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN116298192A (en) * | 2023-02-09 | 2023-06-23 | 中国地质大学（武汉） | System and method for testing frozen soil landslide model under combination of temperature, rainfall and reservoir water |
| CN117349779A (en) * | 2023-12-04 | 2024-01-05 | 水利部交通运输部国家能源局南京水利科学研究院 | Method and system for judging potential sliding surface of deep-excavation expansive soil channel side slope |
| CN117349779B (en) * | 2023-12-04 | 2024-02-09 | 水利部交通运输部国家能源局南京水利科学研究院 | Method and system for judging potential sliding surface of deep-excavation expansive soil channel side slope |
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