CN112541665A - Slope stability refined evaluation method based on multi-source information fusion - Google Patents
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Abstract
A slope stability refined evaluation method based on multi-source information fusion comprises the following steps: carrying out slope integrity primary identification based on an infrared thermal imaging technology, capturing a thermal image distribution abnormal area, carrying out regional re-identification on the thermal image distribution abnormal area by utilizing an InSAR technology, and searching a ground surface deformation abnormal area; determining a potential sliding area of the side slope and establishing a side slope stability initial evaluation system according to thermal imaging and InSAR data comprehensive analysis, performing initial evaluation and dividing the grade of the risk of the side slope in an evaluation area; determining the region of grade III or above as target region, acquiring rock mechanical parameters by geological exploration and indoor test, and performing FLAC3DNumerical simulation software for obtaining stability safety factors of three-dimensional landslide mass and two-dimensional landslide mass, and comprehensive thermal image and earth surface deformationRate data and slope stability safety coefficient reevaluate the slope stability, reach the slope stability fine-grained evaluation purpose of multisource information fusion.
Description
Technical Field
The invention belongs to the technical field of geotechnical engineering, and particularly relates to a slope stability refined evaluation method based on multi-source information fusion.
Background
Large and small scale landslide geological disasters have occurred for a long time. Once major landslide occurs, the life and property safety of people is threatened seriously. The landslide is a product of slope deformation instability damage, a traditional slope stability evaluation method generally adopts a mechanical or mathematical model to describe the state of the slope, such as an engineering comparison method, a graphical method, a limit balance method, a limit analysis method and a reliability analysis method, and the traditional slope stability evaluation method has the defects of single consideration factor, low evaluation precision and the like, and is difficult to accurately evaluate the slope stability by adopting a single method or means. However, landslides are related to various influence factors, underground water is one of the important reasons for influencing the stability of the side slopes, and the ground surface deformation rate is also closely related to the stability of the side slopes. Therefore, how to more scientifically and accurately evaluate the stability of the side slope and further achieve the purpose of landslide early warning is one of the key directions of research in the field of geotechnical engineering.
Disclosure of Invention
Aiming at the problems in the prior art, the invention provides a slope stability refined evaluation method based on multi-source information fusion.
In order to achieve the purpose, the invention adopts the following technical scheme:
the invention discloses a slope stability fine evaluation method based on multi-source information fusion, which is characterized by adopting infrared thermal imaging, InSAR and FLAC3DThe method combining numerical simulation technology comprises the following steps:
the method comprises the following steps: firstly, an infrared thermal imager is arranged according to the actual situation of a site, an abnormal temperature distribution area is captured according to a thermal image displayed by the infrared thermal imager, and the slope is subjected to integral primary identification;
step two: carrying out regional re-identification on the thermal image temperature distribution abnormal region by utilizing an InSAR measurement technology, searching a ground surface deformation rate abnormal region, and carrying out regional re-identification on the slope;
step three: according to the comprehensive analysis of the thermal image and InSAR data, determining potential sliding and regions of the slope, establishing a slope stability initial evaluation system, performing initial evaluation, dividing and evaluating the slope risk level of the region, and dividing the slope risk level into five levels;
step four: determining the region of grade III or above as target region, acquiring rock mechanical parameters by geological exploration and indoor test, and performing FLAC3DNumerical simulation software is used for obtaining stability safety factors of the three-dimensional landslide body and the two-dimensional landslide surface;
step five: and the slope stability is reevaluated by integrating the thermal image, the earth surface deformation rate data and the slope stability safety coefficient, so that the purpose of fine evaluation of the slope stability of multi-source information fusion is achieved.
Further, the slope is subjected to integral primary identification in the first step, and a temperature abnormal area is captured. Through infrared thermal imager, change slope surface thermal radiation into the different gradient thermal image that show according to the colour, the thermal image represents the slope surface temperature distribution condition of side slope, through the indirect groundwater occurrence condition that demonstrates of domatic temperature, and then differentiates the relation between groundwater occurrence, collude the situation and the structural plane, realizes the slope surface's of side slope wholeness initial identification.
Further, the InSAR technology is utilized to perform regional re-identification on the abnormal thermal image distribution region, and a slope surface deformation abnormal region is searched;
and measuring the abnormal thermal image distribution area of the slope surface of the side slope by adopting InSAR, acquiring elevation data and ground surface deformation rate data of the side slope, buildings (structures), plants and mechanical equipment in the measurement range, and comparing whether the abnormal thermal image distribution area in the step one is overlapped or close to the abnormal ground surface deformation rate area in the step two.
And verifying the thermal image distribution abnormal area according to the ground surface deformation rate data so as to find a potential landslide mass, and determining a threshold value of allowable deformation movement of the slope surface of the slope by analyzing the ground surface deformation rate data so as to set a landslide risk threshold value.
Further, a slope stability preliminary evaluation system is established in the third step according to the potential landslide massThermal image temperature (T), surface deformation rate (V), point load strength index (sigma), weathering degree (E), joint crack distribution (J), and overall slope angle
And the seven influence factor indexes of the external disturbance distance (D) are combined with the rainfall (W) in the same day, and a grade accumulation mode is adopted to preliminarily determine the grade of the stability of the identified slope.
In the initial evaluation of the slope stability, the slope state can be divided into five grades according to the total score value of the slope, and the five grades correspond to the five grades: low risk of landslide (level I), general risk of landslide (level II), medium risk of landslide (level III) and high risk of landslide (level IV), and high risk of landslide (level V).
Further, in the fourth step, the geological survey and the indoor test are carried out to obtain rock mechanical parameters: carrying out on-site investigation work on a target area, carrying out on-site drilling coring, and carrying out an indoor rock mechanical test including a uniaxial compressive strength test, a triaxial compressive strength test, a Brazilian splitting test, a shearing test and a permeability test to obtain rock strength parameter indexes including but not limited to uniaxial compressive strength, tensile strength, density, elastic modulus, Poisson's ratio, shear strength and permeability coefficient of the rock, and carrying out FLAC3DNumerical simulation is carried out to obtain three-dimensional and two-dimensional mechanical conditions and safety factors of the side slope,
further, in the fifth step, the reevaluation of the slope stability by the comprehensive thermal image, the earth surface deformation rate data and the slope stability safety coefficient is as follows: the slope stability is divided into the following according to the slope safety coefficient calculated by numerical simulation: the stability (level 4), the relative stability (level 3), the critical state (level 2), the unstability (level 1) totally 4, reach the side slope stability fine evaluation purpose of multisource information fusion.
The invention has the beneficial effects that:
compared with the traditional slope stability evaluation method, the method overcomes the defect of a single evaluation method, adopts a comprehensive evaluation method of interdisciplinary multi-source information fusion to evaluate and represent slope stability, carries out slope stability evaluation on the information fusion, has multi-source evaluation means and abundant evaluation information, can more accurately identify a potential landslide area, further obtains a target region slope stability safety coefficient, and effectively improves the slope stability evaluation precision and accuracy.
The method can realize remote preliminary evaluation of the slope stability, can quickly identify the potential sliding area, reduces unnecessary workload increased due to overlarge evaluation range, and greatly improves the working efficiency; FLAC3DIn the numerical simulation process, various geotechnical engineering information is integrated, the three-dimensional potential landslide body and the two-dimensional sliding surface are subjected to fine analysis, remote sensing measurement and numerical simulation are mutually verified, and the simulation result is more credible and more accords with the engineering practice.
Drawings
Fig. 1 is a flowchart of a slope stability evaluation method according to the present invention.
Fig. 2 is a diagram of an embodiment of an infrared thermal imager according to the slope stability evaluation method of the present invention.
Fig. 3 is a diagram of an InSAR measurement embodiment of the slope stability evaluation method of the present invention.
Fig. 4 is an illustration of a numerical simulation slope displacement-safety factor relationship in the slope stability evaluation method of the present invention.
Detailed Description
The present invention will be described in further detail with reference to the accompanying drawings.
Referring to fig. 1, the slope stability fine evaluation method based on multi-source information fusion is characterized by adopting infrared thermal imaging, InSAR and FLAC3DThe method combining numerical simulation technology comprises the following steps:
the method comprises the following steps: firstly, an infrared thermal imager is arranged according to the actual situation of a site, an abnormal temperature distribution area is captured according to a thermal image displayed by the infrared thermal imager, and the slope is subjected to integral primary identification;
the infrared thermal imager converts the thermal radiation of the slope surface of the side slope into thermal images with different gradients, the thermal images are displayed according to colors, the thermal images represent the temperature change interval of the slope surface of the side slope, the occurrence condition of underground water is indirectly indicated through the temperature of the slope surface, the occurrence and hooking conditions of the underground water and the relation between the occurrence and hooking conditions of the underground water and a structural plane are judged, and the initial integral identification of the slope surface of the side slope is realized.
Since the infrared thermal imaging technology is different from the imaging of visible light, it displays the infrared radiation energy density distribution map as a thermal image by using the difference of thermal contrast generated by the difference of temperature and emissivity between the target and the surrounding environment, thereby avoiding human errors caused by the arrangement position of the instrument and equipment and the influence factors of weather and wind, and avoiding the imaging under the special weather conditions of abnormal temperature such as rainfall, heavy fog and dense cloud cover, as shown in fig. 2.
As can be seen from the graph 2, part of the temperature abnormal area is affected by vegetation coverage, light irradiation and cloud cover, the temperature abnormal area cannot be distinguished, the line drawing area in the graph is a temperature distribution abnormal area (within the range of 35-30 ℃), meanwhile, the slope weathering degree is apoplexy, the joint crack is distributed roughly and discontinuously, design files are consulted, the point load strength index is within the range of 4-10, and the side slope angle is 38 degrees (within the range of 30-42 degrees).
Step two: carrying out regional re-identification on the thermal image temperature distribution abnormal region by utilizing an InSAR measurement technology, searching a ground surface deformation rate abnormal region, and carrying out regional re-identification on the slope;
the InSAR technology has the advantages of non-contact, no need of establishing a ground receiving station and meeting the measurement precision, is complementary with the infrared thermal imaging technology, adopts the InSAR to measure the slope surface thermal image distribution abnormal area, obtains the elevation data and the earth surface deformation rate data of the slope, the building, the plant and the mechanical equipment in the measurement range, and compares whether the thermal image distribution abnormal area in the first step is overlapped or close to the slope surface deformation abnormal area in the second step, as shown in figure 3.
As can be seen from FIG. 3, the surface deformation rate in the abnormal temperature distribution region is in the range of. + -. 20 to. + -. 40 mm/yr.
And further verifying the thermal image distribution abnormal area according to the ground surface deformation rate data so as to find a potential landslide body, determining the allowable deformation moving threshold value of the slope surface of the side slope to be +/-20 mm/yr through analysis of the ground surface deformation rate data in the graph 3, and setting the landslide risk threshold value to be +/-50 mm/yr according to the table 3.
Step three: according to the comprehensive analysis of the thermal image and InSAR data, determining a potential sliding area of the side slope, establishing a side slope stability initial evaluation system, performing initial evaluation, and dividing the grade of the risk of the side slope in an evaluation area;
establishing a slope stability preliminary evaluation system in the third step according to the potential landslide mass thermal image temperature (T), the earth surface deformation rate (V), the point load strength index (sigma), the weathering degree (E), the joint crack distribution (J) and the total slope angle
And seven influence factor indexes of the external disturbance distance (D) are combined with the rainfall amount (W) in the same day, different scoring accumulation modes are adopted, the score of the stability of the identified slope is preliminarily determined, and the risk level is divided.
As shown in table 1.
Table 1 slope stability initial evaluation system scoring table
According to the data in table 1, in the initial evaluation of the slope stability, the slope state can be divided into five grades according to the total score value of the slope, and the five corresponding grades are as follows: low risk of landslide (level I), general risk of landslide (level II), medium risk of landslide (level III) and high risk of landslide (level IV), and high risk of landslide (level V).
From the data in fig. 2, 3 and 4, with the help of the slope stability initial evaluation system scoring table and the current day rainfall condition (0mm), the identified slope stability score is determined to be 59 scores of 15+10+6+5+8+5+10-0, and the risk grade is grade iii (range of 41-60).
The method comprises the following steps: determining the region of grade III or above as target region, acquiring rock mechanical parameters by geological exploration and indoor test, and performing FLAC3DNumerical simulation software for obtaining three-dimensional landslide body and two-dimensional landslide surface stability safety systemCounting; as shown in table 3.
TABLE 3 slope stability Risk level
Determining the region of grade III or above of landslide risk level as a target region, performing geological survey and indoor test to obtain rock mechanical parameters of the target region, establishing a three-dimensional refined geological model of the target region according to slope elevation data, faults and goaf data obtained in geological survey, combining the rock mechanical parameters obtained in indoor test, and adopting FLAC3DAnalyzing the target area by numerical simulation software to obtain a stability safety factor F of the three-dimensional landslide body and the two-dimensional landslide surface which is 1.31,
the method comprises the following steps: and (3) reevaluating the slope stability by integrating the thermal image, the earth surface deformation rate data and the slope stability safety coefficient, and grading the slope stability into the following grades according to the safety coefficient: the target safety coefficient is within the range that F is more than or equal to 1.20 and less than 1.35, the corresponding risk grade is grade 3, and the goal of fine evaluation of the slope stability of multi-source information fusion is achieved.
The method adopts two-stage evaluation, essentially overcomes the limitation of a single evaluation method, and the evaluation process comprises an initial evaluation system combining infrared thermal imaging initial identification and InSAR surface deformation rate re-identification, a three-dimensional potential landslide body and a two-dimensional potential sliding surface FLAC3DAnd the re-evaluation of refined numerical simulation is carried out in two stages from far to near, from the whole to the local and from two to three dimensions, so that the economy and the practicability are improved, the accuracy and the reliability are increased, and the method has wide popularization and application values.
Claims (8)
1. A slope stability refined evaluation method based on multi-source information fusion is characterized in that infrared thermal imaging, InSAR and FLAC are adopted3DThe method combining numerical simulation technology comprises the following steps:
the method comprises the following steps: firstly, an infrared thermal imager is arranged according to the actual situation of a site, an abnormal temperature distribution area is captured according to a thermal image displayed by the infrared thermal imager, and the slope is subjected to integral primary identification;
step two: carrying out regional re-identification on the thermal image temperature distribution abnormal region by utilizing an InSAR measurement technology, searching a ground surface deformation rate abnormal region, and carrying out regional re-identification on the slope;
step three: according to the comprehensive analysis of the thermal image and InSAR data, determining a potential sliding area of the side slope, establishing a side slope stability initial evaluation system, performing initial evaluation, dividing the grade of the risk of the side slope in an evaluation area, and dividing the grade of the risk of the side slope into five grades;
step four: determining the region of grade III or above as target region, acquiring rock mechanical parameters by geological exploration and indoor test, and performing FLAC3DNumerical simulation software is used for obtaining stability safety factors of the three-dimensional landslide body and the two-dimensional landslide surface;
step five: and the slope stability is reevaluated by integrating the thermal image, the earth surface deformation rate data and the slope stability safety coefficient, so that the purpose of fine evaluation of the slope stability of multi-source information fusion is achieved.
2. The slope stability fine evaluation method according to claim 1, wherein in the first step, the slope is subjected to primary overall identification, and a temperature abnormal area is captured.
Through infrared thermal imager, change slope surface thermal radiation into the different gradient thermal image that show according to the colour, the thermal image represents the slope surface temperature distribution condition of side slope, through the indirect groundwater occurrence condition that demonstrates of domatic temperature, and then differentiates the relation between groundwater occurrence, collude the situation and the structural plane, realizes the slope surface's of side slope wholeness initial identification.
3. The slope stability fine evaluation method according to claim 1, wherein the InSAR technology is used to perform regional re-identification on the thermal image distribution abnormal area to find the slope deformation abnormal area;
and measuring the abnormal thermal image distribution area of the slope surface of the side slope by adopting InSAR, acquiring elevation data and ground surface deformation rate data of the side slope, buildings (structures), plants and mechanical equipment in the measurement range, and comparing whether the abnormal thermal image distribution area in the step one is overlapped or close to the abnormal ground surface deformation rate area in the step two.
4. The slope stability fine evaluation method according to claim 3, wherein the thermal image distribution abnormal area is verified according to the ground surface deformation rate data so as to find a potential landslide mass, and in addition, a slope surface deformation allowable movement threshold value is determined by analyzing the ground surface deformation rate data, so that a landslide risk threshold value is set.
5. The slope stability fine-evaluation method according to claim 1, wherein a slope stability preliminary evaluation system is established in the third step according to the potential landslide mass thermal image temperature (T), the surface deformation rate (V), the point load strength index (σ), the weathering degree (E), the joint crack distribution (J), and the overall slope angle
And the seven influence factor indexes of the external disturbance distance (D) are combined with the rainfall (W) in the same day, and a grade accumulation mode is adopted to preliminarily determine the grade of the stability of the identified slope.
6. The slope stability fine evaluation method according to claim 5, wherein in the initial evaluation of the slope stability, the slope states can be classified into five grades according to the total score value of the slope, and the five corresponding grades are: low risk of landslide (level I), general risk of landslide (level II), medium risk of landslide (level III) and high risk of landslide (level IV), and high risk of landslide (level V).
7. The slope stability fine evaluation method according to claim 1, wherein in the fourth step, the geological survey and the indoor test are performed to obtain rock mechanical parameters: carrying out on-site investigation work on the target area, carrying out on-site drilling coring, and obtaining rock strength parameter indexes including but not limited to uniaxial compressive strength, tensile strength, density, elastic modulus, Poisson's ratio, shear strength and permeability coefficient of the rock by an indoor rock mechanical test including a uniaxial compressive strength test, a triaxial compressive strength test, a Brazilian split test, a shear test and a permeability test, and carrying out FLAC3D numerical simulation to obtain three-dimensional and two-dimensional mechanical conditions and safety factors of the slope.
8. The slope stability refined evaluation method according to claim 1, wherein in the fifth step, the re-evaluation of the slope stability by the comprehensive thermal image, the earth surface deformation rate data and the slope stability safety factor is that: the slope stability is divided into the following according to the slope safety coefficient calculated by numerical simulation: the stability (level 4), the relative stability (level 3), the critical state (level 2), the unstability (level 1) totally 4, reach the side slope stability fine evaluation purpose of multisource information fusion.
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| CN113821949A (en) * | 2021-09-08 | 2021-12-21 | 中电建电力检修工程有限公司 | Rock slope stability safety and reliability prediction method based on deformation monitoring |
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