WO2019176835A1 - Système de surveillance de pente, procédé de surveillance de pente et support d'enregistrement - Google Patents

Système de surveillance de pente, procédé de surveillance de pente et support d'enregistrement Download PDF

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Publication number
WO2019176835A1
WO2019176835A1 PCT/JP2019/009608 JP2019009608W WO2019176835A1 WO 2019176835 A1 WO2019176835 A1 WO 2019176835A1 JP 2019009608 W JP2019009608 W JP 2019009608W WO 2019176835 A1 WO2019176835 A1 WO 2019176835A1
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Prior art keywords
slope
safety factor
soil
moisture
soil parameter
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PCT/JP2019/009608
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English (en)
Japanese (ja)
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梓司 笠原
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日本電気株式会社
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    • E—FIXED CONSTRUCTIONS
    • E02—HYDRAULIC ENGINEERING; FOUNDATIONS; SOIL SHIFTING
    • E02D—FOUNDATIONS; EXCAVATIONS; EMBANKMENTS; UNDERGROUND OR UNDERWATER STRUCTURES
    • E02D17/00—Excavations; Bordering of excavations; Making embankments
    • E02D17/20—Securing of slopes or inclines

Definitions

  • the present invention relates to a slope monitoring system, a slope monitoring method, and a recording medium for monitoring slopes on topography such as mountains and valleys.
  • the safety factor is used as an index for evaluating the safety of the risk of collapse of slopes in terrain such as mountains and valleys, or the degree of no risk of slope collapse during heavy rain.
  • the safety factor is an index for evaluating the safety of a slope, and is represented by a ratio in which a sliding force for sliding down the slope is used as a denominator and a resistance force for preventing the sliding is used as a numerator. When this value is less than 1, that is, when the sliding force becomes larger than the resistance force, it is evaluated that there is a possibility of collapse.
  • Patent Document 1 discloses this kind of slope safety monitoring technology.
  • the slope monitoring system disclosed in Patent Document 1 changes the moisture content of the test layer measured from a test environment having a test layer that is substantially the same material layer as the material layer constituting the monitored slope. Measure each value of a predetermined analytical expression variable. Then, the slope monitoring system constructs a model that defines the relationship between the amount of water and the value of each analytical expression variable for each of the analytical expression variables based on the value of each analytical expression variable and the amount of water. The slope monitoring system calculates the value of each analytical expression variable when measuring the water content of the monitored slope using the constructed model, and based on the calculated value of each analytical expression variable, the slope stability analysis Calculate the safety factor of the slope to be monitored using the formula.
  • the slope monitoring systems of Patent Document 1 and Patent Document 2 use the constructed model to calculate the value of each analytical expression variable when the moisture content of the monitored slope is measured, and to calculate each calculated analytical expression variable. Based on this value, the safety factor is calculated using the slope stability analysis formula.
  • the accuracy of the value of each analytical expression variable when the amount of water on the slope to be monitored is measured may be lowered. For example, when measuring the value of each analytical expression variable over a wide range of water content and building a model as shown by a simple function from the entire value of each obtained analytical expression variable, each analytical expression variable is locally The accuracy of the value of may be lowered.
  • the main object of the present invention is to provide a slope monitoring system, a slope monitoring method, and a recording medium capable of calculating a safety factor as an index for evaluating safety of a slope with high accuracy.
  • the slope monitoring system includes a measurement unit that measures a soil parameter in association with a moisture content of a material layer constituting a monitored slope, and the measured soil parameter and the moisture content.
  • a storage unit that stores and associates, a moisture meter that measures the amount of moisture on the slope to be monitored, and moisture that is measured on the slope to be monitored based on the soil parameter that is stored in association with the amount of moisture
  • a soil parameter estimating unit that estimates an estimated soil parameter in quantity, and a safety factor calculating unit that calculates a first safety factor using the estimated soil parameter.
  • a soil layer is measured by associating a moisture amount with respect to a material layer constituting a monitored slope, and the measured soil parameter and the moisture amount are associated. Storing and measuring the amount of water on the monitored slope, estimating the estimated soil parameter at the amount of water measured on the monitored slope based on the soil parameter stored in association with the amount of water The first safety factor is calculated using the estimated soil parameter.
  • a recording medium that associates a soil parameter related to slope stability measured by linking a substance layer constituting a slope to be monitored with a moisture content and the moisture content.
  • a slope monitoring program for executing a process for estimating the estimated soil parameter and a process for calculating the first safety factor using the estimated soil parameter is stored.
  • a safety factor as an index for evaluating the safety of a slope with high accuracy.
  • FIG. 1 is a block diagram illustrating an example of the configuration of the first embodiment.
  • FIG. 2 is a flowchart illustrating an example of a method for acquiring soil parameters related to slope stability of the measurement unit in FIG.
  • FIG. 3 is a flowchart showing details of the triaxial compression test (shear test) in step S11 of FIG.
  • FIG. 4 is a flowchart illustrating an example of a water addition test of the measurement unit in FIG.
  • FIG. 5 is a flowchart showing an example of the soil parameter estimation operation of FIG.
  • FIG. 6 is a diagram illustrating a first method for estimating the soil parameter corresponding to the moisture amount mt measured on the slope to be monitored.
  • FIG. 1 is a block diagram illustrating an example of the configuration of the first embodiment.
  • FIG. 2 is a flowchart illustrating an example of a method for acquiring soil parameters related to slope stability of the measurement unit in FIG.
  • FIG. 3 is a flowchart showing details of the triaxial compression test (s
  • FIG. 7 is a block diagram showing an example of the configuration of the safety factor calculation unit that estimates the soil parameter corresponding to the amount of water mt measured on the slope to be monitored by the first method.
  • FIG. 8 is a diagram showing a second method for estimating the soil parameter corresponding to the moisture amount mt measured on the slope to be monitored.
  • FIG. 9 is a block diagram illustrating an example of a configuration of a safety factor calculation unit that estimates soil parameters by the second method.
  • FIG. 10 is a diagram illustrating a third method for estimating the soil parameter corresponding to the moisture amount mt measured on the slope to be monitored.
  • FIG. 11 is a block diagram illustrating an example of a configuration of a safety factor calculation unit that estimates soil parameters by the third method.
  • FIG. 12 is a block diagram showing the configuration of the second embodiment.
  • FIG. 13 is a flowchart showing an operation for storing in advance the soil parameters and model formulas of the second embodiment.
  • FIG. 14 is a flowchart illustrating an operation of calculating the safety factor according to the second embodiment.
  • FIG. 15 is a diagram showing a first display example of the display unit of FIG.
  • FIG. 16 is a diagram showing a second display example of FIG.
  • FIG. 17 is a diagram illustrating an example of a configuration of a computer that implements each unit of each embodiment.
  • Fs is the safety factor
  • ⁇ is the slope angle
  • C, W, u, and ⁇ are the soil parameters representing the properties of the soil, adhesive strength, mass weight, pore water pressure, and internal friction angle, respectively.
  • the shear stress of each divided piece (such as a lump) is represented by the lump weight W as the gravity applied to the divided piece and the slope gradient angle ⁇ (see the denominator of equation (1)). ).
  • the shear resistance of each divided piece is expressed by the adhesive force C of the divided piece (clump) and the resistance force ((Wu) cos ⁇ ⁇ tan ⁇ ) based on the vertical stress (of the equation (1)) See molecule).
  • the safety of a slope is evaluated by a safety factor Fs calculated using a ratio of a shear stress acting in the slope direction of each divided piece and a shear resistance force that prevents sliding due to the shear stress.
  • FIG. 1 is a block diagram showing an example of the configuration of the first embodiment.
  • the slope monitoring system 1 includes a measurement unit 11, a storage unit 12, a moisture meter 13, a soil parameter estimation unit 14, and a safety factor calculation unit 15.
  • the measurement part 11 measures the soil parameter relevant to slope stability previously linked
  • the soil parameters related to the slope stability are the adhesive force C, the internal friction angle ⁇ , the pore water pressure u, and the clot weight W.
  • soil parameters for a specimen (soil mass) of one or more water amounts m 1 , m 2 ,..., Max which are created using a material layer (sediment) collected in advance from a slope to be monitored and have different water content ratios, That is, adhesive forces C 1 , C 2 ,... C max , internal friction angles ⁇ 1 , ⁇ 2 ,... ⁇ max , pore water pressures u 1 , u 2 , ... u max , clot weight W 1 , W 2 ... W max is measured.
  • FIG. 2 is a flowchart showing an example of a method for acquiring soil parameters related to the slope stability of the measurement unit in FIG.
  • the measuring unit 11 performs a triaxial compression test (shear test) to calculate the adhesive force C and the internal friction angle ⁇ (step S11).
  • FIG. 3 is a flowchart showing details of the triaxial compression test (shear test) in step S11 of FIG.
  • a test body soil mass
  • the soil of the test body is the same as the soil of the actual slope.
  • a plurality of test bodies are formed by changing the water content ratio of soil blocks made of soil having the same type, dry density and compaction as the soil on the actual slope.
  • the measuring unit 11 measures the water content of the prepared earth clot using a moisture meter (step S112).
  • the measurement unit 11 performs compression by setting the prepared soil block in a triaxial compression test apparatus including a stress sensor included in the measurement unit 11, and calculates the vertical stress ⁇ and shear stress ⁇ during compression. Measurement is performed (step S113).
  • step S114 the compression and stress measurement in steps S112 to S113 is repeated (step S114). Usually at least three compression and stress measurements are performed. Thereby, the normal stress data and the shear stress data at the time of shearing corresponding to at least a plurality of vertical loads are obtained for one soil block.
  • the measurement unit 11 obtains moisture amount data, and normal stress data and shear stress data during shearing corresponding to a plurality of vertical loads, for each of the soil blocks having different moisture contents.
  • the measuring unit 11 is obtained. Based on the normal stress data and the shear stress data, the adhesive force C and the internal friction angle ⁇ are calculated (step S12 in FIG. 2).
  • the shear strength s is represented by the sum of the adhesive force C of the soil and the resistance force ( ⁇ tan ⁇ ) based on the normal stress ⁇ acting on the shear surface.
  • tan ⁇ is an effective friction coefficient based on the internal friction angle ⁇ , which is one of the soil parameters representing the properties of the soil.
  • s C + ⁇ tan ⁇
  • the measuring unit 11 sets the shear stress at the time of fracture of the soils having moisture amounts m 1 , m 2 ,..., Max to the shear strength s 1 , s 2 ,. , ⁇ 1 , ⁇ 2 ,... ⁇ max .
  • the water content m 1, m 2 corresponds to ⁇ ⁇ ⁇ m max, adhesion C 1, C 2, ⁇ C max, internal friction angle phi 1, phi 2 ... ⁇ max can be calculated.
  • the measurement part 11 implements a hydration test using the test body (soil mass) which is the same as the soil used in the shear test in Step S11, that is, a soil (soil mass) made of soil of the same type, dry density and compaction degree ( Step S13).
  • FIG. 4 is a flowchart showing an example of the water addition test of the measurement unit in FIG.
  • a specimen made of soil of the same type, dry density and compaction as the soil used in the shear test and having a relatively low water content is prepared (Ste S131).
  • the test body a soil block adjusted so as to have a test layer with a lower water content ratio than a test body having a test layer with the minimum water content ratio among the test bodies used in the shear test is used.
  • the measurement unit 11 sets the prepared clot on a test machine including the moisture meter, the pore water pressure meter, and the weight meter included in the measurement unit 11, and measures the moisture content, the pore water pressure, and the clot weight. (Steps S132 to S134). As a result, at least the water content, pore water pressure, and soil weight of the soil mass in a state where the water content ratio before the addition is known are obtained.
  • moisture content data, pore water pressure data, and soil mass weight data of the soil mass in each state (before and after each addition) in the hydrolysis process until the soil is saturated are acquired.
  • saturated of the soil specifically means a state where water does not soak into the soil.
  • the measurement unit 11 has one or more water amounts m 1 , m 2 ,..., M max that differ in water content ratios created using the material layer (earth and sand) collected from the slope to be monitored by the water test.
  • the pore water pressure of the soil mass (test body) is measured with a pore water pressure gauge.
  • the measurement unit 11 measures a clod weight by weighing scale, pore pressure u 1, u 2, ⁇ u max, clod weight W 1, W 2, acquires ⁇ ⁇ ⁇ W max (step S14).
  • the water test is performed after the shear test, but the order of the test is not particularly limited.
  • Storage unit 12 the water content m 1, m 2, ⁇ m max and straps association with soil parameters obtained by performing a previously measured, i.e. adhesion C 1, C 2, ⁇ C max, Internal Friction angle ⁇ 1, ⁇ 2, ⁇ ⁇ max, pore pressure u 1, u 2, ⁇ u max, and, clod weight W 1, W 2, ⁇ W max and a plurality of moisture content m 1 , M 2 ,..., M max are stored in association with each other.
  • adhesion C 1, C 2, ⁇ C max Internal Friction angle ⁇ 1, ⁇ 2, ⁇ ⁇ max, pore pressure u 1, u 2, ⁇ u max, and, clod weight W 1, W 2, ⁇ W max and a plurality of moisture content m 1 , M 2 ,..., M max are stored in association with each other.
  • the moisture meter 13 is installed on the slope to be monitored and measures the moisture amount mt on the slope to be monitored.
  • the soil parameter estimation unit 14 stores a plurality of soil parameters corresponding to the moisture amount mt measured on the monitored slope, that is, the adhesive force Ct, the internal friction angle ⁇ t, the pore water pressure ut, and the soil mass weight Wt. Estimate based on soil parameters.
  • the soil parameter estimation unit 14 outputs the estimated soil parameters corresponding to the water content mt, that is, the adhesive force Ct, the internal friction angle ⁇ t, the pore water pressure ut, and the soil mass weight Wt to the safety factor calculation unit 15.
  • the safety factor calculation unit 15 sets the slope length l of the slope to be monitored, the slope inclination angle ⁇ of the slope, and the slip layer depth d. Then, the safety factor calculation unit 15 uses the soil parameters output from the soil parameter estimation unit 14, that is, the adhesive force Ct, the internal friction angle ⁇ t, the pore water pressure ut, and the soil mass weight Wt according to the equation (1), A safety factor Fs1 is calculated. The safety factor calculation unit 15 outputs the calculated first safety factor to, for example, a display unit, and displays the first safety factor Fs1 calculated by the display unit.
  • each component of the slope monitoring system of 1st embodiment shown in FIG. 1 and other embodiment mentioned later has shown the block of the functional unit.
  • Some or all of the constituent elements of the slope monitoring system of each embodiment may be realized by any combination of a computer 50 and a program as shown in FIG. 17, for example.
  • the computer 50 includes the following configuration as an example.
  • CPU Central Processing Unit
  • ROM Read Only Memory
  • RAM Random Access Memory
  • a program 54 loaded into the RAM 53
  • a storage device 55 for storing the program 54
  • a drive device 57 that reads and writes the recording medium 56
  • Each component of each embodiment is implement
  • the storage unit 12 is configured such that the CPU 51 that has acquired the program 54 has a moisture content for the material layer that constitutes the monitored slope output from the measurement unit 11 based on the program 54.
  • the function may be realized by performing processing of associating the soil parameters related to slope stability measured in association with a plurality of moisture amounts and storing them in the storage device 55.
  • the soil parameter estimation unit 14 is a storage device in which the CPU 51 that has acquired the program 54 associates the moisture amount measured on the slope to be monitored based on the program 54 with the processing and moisture amount that are acquired via the input / output interface 60.
  • the function may be realized by performing a process of calculating the estimated soil parameter with the amount of water measured on the slope to be monitored based on the soil parameter stored in 55.
  • the function of the safety factor calculation unit 15 is realized by the CPU 51 that has acquired the program 54 performing a process of calculating the first safety factor of the slope to be monitored using the estimated soil parameter based on the program 54. Also good.
  • the program 54 that realizes the function of each component of each embodiment is stored in advance in the storage device 55, the ROM 52, or the RAM 53, for example, and may be configured to be read by the CPU 51 as necessary.
  • the program 54 may be supplied to the CPU 51 via the communication network 59, or may be stored in the recording medium 56 in advance, and the drive device 57 may read the program and supply it to the CPU 51.
  • FIG. 5 is a flowchart showing an example of the soil parameter estimation operation of FIG.
  • the moisture meter 13 is installed on the slope to be monitored and measures the amount of water mt on the slope to be monitored (step S16).
  • the soil parameter estimation unit 14 stores a plurality of soil parameters corresponding to the moisture amount mt measured on the slope to be monitored, that is, the adhesive force Ct, the internal friction angle ⁇ t, the pore water pressure ut, and the soil mass weight Wt. Estimate based on soil parameters. Then, the soil parameter estimation unit 14 outputs the estimated soil parameter corresponding to the moisture amount mt, that is, the adhesive force Ct, the internal friction angle ⁇ t, the pore water pressure ut, and the soil mass weight Wt to the safety factor calculation unit 15 (step S17). .
  • the safety factor calculation unit 15 uses the soil parameters output from the soil parameter estimation unit 14, that is, the adhesive force Ct, the internal friction angle ⁇ t, the pore water pressure ut, and the soil mass weight Wt, to calculate the first safety of the slope.
  • the rate Fs1 is calculated.
  • the calculated first safety factor is displayed, for example, on a display unit (not shown) (step S18).
  • the safety factor calculation unit 15 determines whether the measurement is finished or not, the process returns to step S16. In this way, the processes of steps S16 to S18 are repeated until the measurement is completed.
  • various methods can be considered as a method of estimating the soil parameter corresponding to the water content mt measured by the soil parameter estimation unit 14 on the slope to be monitored in step S22 of FIG.
  • FIG. 6 is a diagram illustrating a first method for estimating the soil parameter corresponding to the moisture amount mt measured on the slope to be monitored.
  • FIG. 7 is a block diagram showing an example of a configuration for estimating the soil parameter corresponding to the moisture amount mt measured on the slope to be monitored by the first method.
  • the water content extraction unit 141 before and after the soil parameter estimation unit 14 measures the moisture measured on the slope to be monitored among the water amounts stored in the storage unit 12 for each soil parameter, as shown in FIG.
  • Two soil parameters corresponding to the moisture amounts mt + and mt ⁇ before and after the amount mt are obtained.
  • the front and rear water content extraction unit 141 corresponds to, for example, the water content mt + and mt ⁇ before and after the water content mt measured on the slope to be monitored among the water content stored in the storage unit 12 with respect to the clot weight.
  • the water content extraction unit 141 before and after the soil parameter estimation unit 14 respectively corresponds to the two water content mt + and mt ⁇ before and after the measured water content mt.
  • Internal friction angles ⁇ t + and ⁇ t ⁇ , pore water pressures ut + and ut ⁇ , and adhesive forces Ct + and Ct ⁇ are acquired from the storage unit, respectively.
  • the interpolation function generation unit 142 of the soil parameter estimation unit 14 interpolates between the acquired two internal friction angles ⁇ t + , ⁇ t ⁇ , pore water pressure ut + , ut ⁇ , adhesive force Ct + , Ct ⁇ .
  • the estimation parameter calculation unit 143 of the soil parameter estimation unit 14 estimates the corresponding internal friction angle ⁇ t, pore water pressure ut, and adhesive force Ct by substituting the measured water amount mt for each obtained function.
  • the storage unit stores not the conversion formula but the soil parameters measured in advance for a plurality of moisture amounts, and the soil parameter estimation unit 14 measures the moisture measured on the monitored slope.
  • a soil parameter corresponding to the amount is estimated based on a plurality of stored soil parameters, and a safety factor is calculated. Therefore, it is possible to calculate the safety factor with higher accuracy than in the case of creating the conversion formula in advance.
  • FIG. 8 is a diagram showing a second method for estimating the soil parameter corresponding to the moisture amount mt measured on the slope to be monitored.
  • FIG. 9 is a block diagram showing an example of the configuration of the second embodiment in which soil parameters are estimated by the second method.
  • the recent water content extraction unit 161 of the soil parameter estimation unit 16 is the water content before and after the water content mt measured on the monitored slope among the water content stored in the storage unit 12 for each soil parameter. Extract the quantities mt + , mt ⁇ .
  • and ⁇ +
  • the latest water content extraction unit 161 extracts the water content mt + as the latest water content closest to the water content mt, and the recent soil parameter extraction unit 162 of the soil parameter estimation unit 16 Then, the soil parameter stored in association with the recent water content, that is, the clot weight Wt + is extracted.
  • the soil parameter estimation unit 16 sets mt ⁇ as the latest moisture amount closest to the moisture amount mt, and stores the soil parameter stored in association with the latest moisture amount, that is, the mass of the clot. Extract Wt ⁇ .
  • and ⁇ +
  • the latest moisture amount extraction unit 161 extracts the moisture amount mt + as the nearest moisture amount closest to the moisture amount mt. Further, the recent soil parameter extraction unit 162 extracts the soil parameters stored in association with the recent water content, that is, the internal friction angle ⁇ t + , the pore water pressure ut + , and the adhesive force Ct + .
  • the latest water content extraction unit 161 of the soil parameter estimation unit 16 extracts mt ⁇ as the latest water content closest to the water content mt
  • the soil parameter estimation unit 16 extracts the latest soil parameter.
  • the unit 162 extracts the soil parameters stored in association with the recent water content, that is, the internal friction angle ⁇ t ⁇ , the pore water pressure ut ⁇ , and the adhesive force Ct ⁇ .
  • FIG. 10 is a diagram showing a third method for estimating the soil parameter corresponding to the moisture amount mt measured on the slope to be monitored.
  • FIG. 11 is a block diagram showing an example of the configuration of the third embodiment in which soil parameters are estimated by the third method.
  • the soil parameter estimation unit 17 estimates the soil parameter corresponding to the amount of water mt measured on the monitored slope for each soil parameter by two methods.
  • the recent water content extraction unit 161 of the soil parameter estimation unit 17 measures the water content measured on the monitored slope among the water content stored in the storage unit 12. Water contents mt + and mt ⁇ before and after mt are extracted.
  • the recent moisture amount extraction unit 161 extracts the latest moisture amount based on the distances ⁇ ⁇ and ⁇ + between the two moisture amounts mt + and mt ⁇ and the moisture amount mt measured on the slope to be monitored.
  • the recent soil parameter extraction unit 162 extracts the soil parameter stored in association with the recent water content, that is, the mass of the soil mass.
  • the latest moisture amount extraction unit 161 extracts mt + as the latest moisture amount closest to the moisture amount mt, and the recent soil parameter extraction unit 162 sets the latest moisture amount. And the soil parameter stored in association with each other, that is, the clot weight Wt + is extracted as the first estimation result and output to the estimation parameter calculation unit 173.
  • the water content extraction unit 171 before and after the soil parameter estimation unit 17 corresponds to the water content mt ++ and mt ⁇ before and after the nearest water content mt + among the water content stored in the storage unit 12.
  • two soil parameters eg clod weight wt ++, wt - to get.
  • the estimation parameter calculation unit 173 of the soil parameter estimation unit 17 calculates, for example, an average value of Wt + that is the first estimation result and f 2 (mt + ) that is the second estimation result. Then, the soil parameter corresponding to the moisture amount mt measured on the slope to be monitored is estimated.
  • the recent water content extraction unit 161 of the soil parameter estimation unit 17 monitors the internal friction angle, the pore water pressure, and the adhesive force among the water content stored in the storage unit 12 as in the second example.
  • the moisture amounts mt + and mt ⁇ before and after the moisture amount mt measured on the slope are extracted.
  • the latest moisture amount extraction unit 161 extracts the latest moisture amount based on the distances ⁇ ⁇ and ⁇ + between the two moisture amounts mt + and mt ⁇ and the moisture amount mt measured on the slope to be monitored.
  • the recent soil parameter extraction unit 162 of the soil parameter estimation unit 17 extracts the soil parameters stored in association with the recent water content, that is, the internal friction angle, the pore water pressure, and the adhesive force.
  • the latest water content extraction unit 161 extracts mt + as the latest water content closest to the water content mt.
  • the recent soil parameter extraction unit 162 extracts the soil parameters stored in association with the recent water content, that is, the internal friction angle ⁇ t + , the pore water pressure ut + , and the adhesive force Ct + as the first estimation results, and estimates them. It outputs to the parameter calculation part 173.
  • the water content extraction unit 171 before and after the soil parameter estimation unit 17 includes two soil parameters corresponding to the water content before and after the above-mentioned recent water content among the water content stored in the storage unit 12, that is, the internal Get friction angle, pore water pressure, and adhesive strength.
  • the estimation parameter calculation unit 173 of the soil parameter estimation unit 17 performs, for example, the first estimation result, that is, the internal friction angle ⁇ t + , pore water pressure ut + , and the clot weight Wt +.
  • the estimated parameter calculation unit 173 estimates the soil parameter corresponding to the moisture amount mt measured on the slope to be monitored.
  • FIG. 12 is a block diagram showing the configuration of the fourth embodiment.
  • the slope monitoring system 2 of the present embodiment has a model equation that is a function that models the relationship between the water parameters and the soil parameters related to slope stability from the soil parameters stored in the storage unit 12. It differs from 1st embodiment by the point provided with the modeling part 21 to produce
  • the safety factor calculation unit 24 displays a soil parameter estimation unit 23 that estimates a soil parameter based on the model formula, a safety factor calculation unit 24 that calculates a safety factor based on the soil parameter, and displays the calculated safety factor. This is different from the first embodiment in that the display unit 25 is provided.
  • FIG. 13 is a flowchart showing an operation for storing in advance the soil parameters and model formulas of the second embodiment.
  • the measurement unit 11 acquires stress sensor data by a triaxial compression test (step S ⁇ b> 11), as in the first embodiment, and based on the stress sensor data, the adhesive force and internal friction are obtained.
  • the corner is acquired in association with the amount of moisture (step S12).
  • the measurement unit 11 also performs a water addition test (step S13), obtains pore water pressure and clot weight in association with each moisture amount (step S14), and associates the moisture amount in the storage unit 12 with adhesive strength,
  • the internal friction angle, pore water pressure, and soil mass weight are stored (step S15).
  • the modeling unit 21 constructs a soil mass-water content model and a pore water pressure-water content model from the soil mass weight and pore water pressure acquired in association with the water content. That is, the modeling unit 21 creates a model formula that expresses the mass of the lump (density) and the pore water pressure as a function of the water content (step S21).
  • the modeling unit 21 constructs an adhesive force-water amount model and an internal friction angle-water amount model from the adhesive force and the internal friction angle acquired in association with the water amount. That is, the modeling unit 21 creates a model formula that represents the adhesive force and the internal friction angle as a function of the water content (step S22).
  • the modeling unit 21 stores the created adhesive force-water content model, internal friction angle-water content model, clot weight (density) -water content model, pore water pressure-water content model in the storage unit 22 (step S23).
  • the storage unit 22 may be the same storage unit as the storage unit 12.
  • FIG. 14 is a flowchart showing the operation of calculating the safety factor according to the second embodiment.
  • the moisture meter 13 is installed on the slope to be monitored and measures the amount of water mt on the slope to be monitored (step S16).
  • the soil parameter estimation unit 14 stores a plurality of soil parameters corresponding to the moisture amount mt measured on the monitored slope, that is, the adhesive force Ct, the internal friction angle ⁇ t, the pore water pressure ut, and the soil mass weight Wt. Estimate based on soil parameters.
  • the soil parameter estimation unit 14 outputs the estimated soil parameter corresponding to the moisture amount mt, that is, the adhesive force Ct, the internal friction angle ⁇ t, the pore water pressure ut, and the soil mass weight Wt to the safety factor calculation unit 24 (step S17).
  • the safety factor calculation unit 24 sets the slope length l of the slope to be monitored, the slope inclination angle ⁇ of the slope, and the slip layer depth d, as in the first embodiment. Then, the safety factor calculation unit 24 uses the soil parameters output from the soil parameter estimation unit 14, that is, the adhesive force Ct, the internal friction angle ⁇ t, the pore water pressure ut, and the soil mass weight Wt according to the equation (1), A safety factor Fs1 is calculated (step S18).
  • the soil parameter estimation unit 23 uses the four models stored in the storage unit 22 based on the moisture amount mt measured on the monitoring target slope, and uses four analytical formula variables when measuring the moisture amount on the monitoring target slope. Estimate the value of. Then, the soil parameter estimation unit 23 outputs the estimated values, that is, the adhesive force Ct, the internal friction angle ⁇ t, the pore water pressure ut, and the clot weight Wt to the safety factor calculation unit 24 (step S24).
  • the safety factor calculation unit 24 uses the soil parameters output from the soil parameter estimation unit 23, that is, the adhesive force Ct, the internal friction angle ⁇ t, the pore water pressure ut, and the soil mass weight Wt according to the equation (1) to calculate the second slope.
  • a safety factor Fs2 is calculated (step S25).
  • the display unit 25 displays the safety factor of the monitoring target slope based on the calculated first safety factor Fs1 and second safety factor Fs2 (step S26).
  • Various methods can be considered as a method of displaying the safety factor on the display unit 25.
  • FIG. 15 is a diagram showing a first display example of the display unit of FIG.
  • the display unit 25 displays the time transition of the first safety factor Fs1 and the second safety factor Fs2 as it is with the horizontal axis as time.
  • the display unit 25 displays a value included between the first safety factor Fs1 and the second safety factor Fs2, for example, an average value of the first safety factor Fs1 and the second safety factor Fs2, as a safety factor (third Display as safety factor.
  • FIG. 16 is a diagram showing a second display example of FIG.
  • the display unit 25 displays time transitions of Fs2 + ⁇ (fourth safety factor) and Fs2 ⁇ (fifth safety factor) with the horizontal axis as time.
  • the display unit 25 displays a value included in Fs2 + ⁇ to Fs2- ⁇ , for example, the second safety factor Fs2 as a safety factor (sixth safety factor).
  • the safety factor estimated based on the soil parameter measured in advance instead of the model equation, and the safety factor estimated based on the model equation generated from the measured soil parameter calculate. And by showing the range of the safety factor from the safety factor estimated by these two methods, it is possible to reduce the possibility that the judgment of safety will be greatly deviated, and it is possible to appropriately judge the safety of the monitoring slope.

Abstract

La présente invention concerne un système de surveillance de pente 1 qui, afin de permettre un calcul très précis d'un facteur de sécurité qui sert d'indicateur pour évaluer la sécurité d'une pente, comprend : une unité de mesure 11 qui mesure des paramètres de sol en association avec une teneur en humidité concernant une couche de matériau constituant une pente à surveiller ; une unité de mémorisation 12 qui mémorise les paramètres de sol mesurés en association avec la teneur en humidité ; un dispositif de mesure d'humidité 13 destiné à mesurer la teneur en humidité dans la pente à surveiller ; une unité d'estimation de paramètre de sol 14 qui utilise les paramètres de sol mémorisés en association avec la teneur en humidité en tant que base pour estimer des paramètres de sol estimés au niveau de la teneur en humidité mesurée dans la pente à surveiller ; et une unité de calcul de facteur de sécurité 15 qui calcule un premier facteur de sécurité pour la pente à surveiller à l'aide des paramètres de sol estimés.
PCT/JP2019/009608 2018-03-13 2019-03-11 Système de surveillance de pente, procédé de surveillance de pente et support d'enregistrement WO2019176835A1 (fr)

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Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN111414576A (zh) * 2020-04-01 2020-07-14 青岛农业大学 一种边坡安全系数不迭代求解方法
CN114065590A (zh) * 2021-11-25 2022-02-18 中国电建集团成都勘测设计研究院有限公司 一种融合刚体极限平衡法和有限元法的地下洞室块体稳定分析方法

Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JPH07132472A (ja) * 1993-11-09 1995-05-23 Mitsubishi Heavy Ind Ltd 複数距離センサによる接近手法
JP2010110498A (ja) * 2008-11-07 2010-05-20 Fujifilm Corp 撮像装置
WO2016027390A1 (fr) * 2014-08-21 2016-02-25 日本電気株式会社 Système de surveillance de pente, dispositif d'analyse de sécurité de pente, procédé et programme
WO2017126481A1 (fr) * 2016-01-18 2017-07-27 日本電気株式会社 Dispositif de commande d'affichage, procédé d'affichage de facteur de sécurité, et support d'enregistrement de programme
WO2017145851A1 (fr) * 2016-02-23 2017-08-31 日本電気株式会社 Dispositif de traitement d'informations, procédé de correction de paramètre et support d'enregistrement de programme

Patent Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JPH07132472A (ja) * 1993-11-09 1995-05-23 Mitsubishi Heavy Ind Ltd 複数距離センサによる接近手法
JP2010110498A (ja) * 2008-11-07 2010-05-20 Fujifilm Corp 撮像装置
WO2016027390A1 (fr) * 2014-08-21 2016-02-25 日本電気株式会社 Système de surveillance de pente, dispositif d'analyse de sécurité de pente, procédé et programme
WO2017126481A1 (fr) * 2016-01-18 2017-07-27 日本電気株式会社 Dispositif de commande d'affichage, procédé d'affichage de facteur de sécurité, et support d'enregistrement de programme
WO2017145851A1 (fr) * 2016-02-23 2017-08-31 日本電気株式会社 Dispositif de traitement d'informations, procédé de correction de paramètre et support d'enregistrement de programme

Non-Patent Citations (1)

* Cited by examiner, † Cited by third party
Title
KASAHARA SHINJI : "Study of Slope Stability Analysis Using Soil Moisture Sensor", 405, no. 405, March 2016 (2016-03-01), pages 49 - 54, XP055684410 *

Cited By (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN111414576A (zh) * 2020-04-01 2020-07-14 青岛农业大学 一种边坡安全系数不迭代求解方法
CN111414576B (zh) * 2020-04-01 2021-03-30 青岛农业大学 一种边坡安全系数不迭代求解方法
CN114065590A (zh) * 2021-11-25 2022-02-18 中国电建集团成都勘测设计研究院有限公司 一种融合刚体极限平衡法和有限元法的地下洞室块体稳定分析方法
CN114065590B (zh) * 2021-11-25 2023-04-07 中国电建集团成都勘测设计研究院有限公司 一种融合刚体极限平衡法和有限元法的地下洞室块体稳定分析方法

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