CN116049942A - Soft rock large deformation rapid distinguishing and grading method applied to construction - Google Patents

Soft rock large deformation rapid distinguishing and grading method applied to construction Download PDF

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CN116049942A
CN116049942A CN202211695698.4A CN202211695698A CN116049942A CN 116049942 A CN116049942 A CN 116049942A CN 202211695698 A CN202211695698 A CN 202211695698A CN 116049942 A CN116049942 A CN 116049942A
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large deformation
deformation
rock
construction
grading
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杨龙伟
张飞
况建均
汪俊杰
邓迪
陈桂虎
钟友江
苟志伟
郭普锋
杨海鹏
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Southwest Jiaotong University
China Railway Erju 2nd Engineering Co Ltd
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China Railway Erju 2nd Engineering Co Ltd
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Abstract

The invention relates to the field of large deformation judgment of soft rock, which is used for solving the problems that in the prior art, the large deformation judgment in the early stage of construction only considers natural environment factors, but does not consider artificial factors, so that the accuracy is poor, and the scheme improvement in the middle and later stages of construction is difficult to be guided accurately, and provides a rapid judgment and classification method for the large deformation of the soft rock, which is applied to the construction, and comprises the following steps: classifying index weight analysis; s2: selecting an index which has large weight occupation ratio and is easy to obtain in the early stage of construction as a characteristic index; s3: and collecting and counting characteristic indexes of large deformation typical sections with different degrees, and combining the large deformation degrees corresponding to the characteristic indexes to obtain a large deformation rapid grading table. The rapid discrimination and classification method for the large deformation of the soft rock applied to construction can predict the large deformation condition of the subsequent section by using the large deformation classification method obtained by the constructed section and guide the improvement of the subsequent construction scheme.

Description

Soft rock large deformation rapid distinguishing and grading method applied to construction
Technical Field
The invention relates to the field of soft rock large deformation discrimination, in particular to a soft rock large deformation rapid discrimination and classification method applied to construction.
Background
The current large deformation grading method of the soft rock tunnel is generally suitable for a investigation design stage, adopts relative deformation and strength stress and considers other influencing factors of the investigation design stage as reference indexes, such as side pressure coefficient, large deformation trend, rock elastic modulus, maximum principal stress value, support rigidity and the like. In the indexes, the elastic modulus of rock, the maximum main stress value and the like are difficult to accurately acquire in the tunnel investigation design period, and additional work is required to be carried out on each section to be predicted on the basis of the traditional tunnel investigation report, such as the strength stress ratio, the relative deformation amount, the side pressure coefficient, the large deformation trend and the like. Therefore, the current large deformation classification method is not highly practical at the construction stage. The patent with publication number of CN115470553A discloses a prediction method for large deformation classification of surrounding rock of a soft rock tunnel, which takes the condition of buried depth and rock stratum as classification indexes, wherein rock strength needs to be obtained through test, and more, the influence of the condition of the rock on the large deformation is considered, the influence of manual support on the large deformation in a construction stage is not considered, the guiding effect on the improvement of a construction scheme in the middle and later stages of the project is not obvious, and a set of rapid classification method suitable for the construction field according to the geological condition, the construction deformation condition and the like of the construction field is urgently needed, so that the discrimination accuracy of the large deformation of the soft rock is improved, different-level support schemes are provided in a targeted manner in the early stage of excavation, and the problem of the large deformation in the middle and later stages of the construction is improved.
Disclosure of Invention
The invention aims to provide a rapid judging and grading method for large deformation of soft rock applied to construction, which solves the problems that in the prior art, only natural environment factors are considered in large deformation judgment in the early stage of construction, but artificial factors are not considered, so that the accuracy is poor, and the scheme improvement in the middle and later stages of construction is difficult to guide accurately.
The invention is realized by the following technical scheme:
a method for quickly judging and classifying the large deformation of soft rock for construction includes such steps as providing a high-pressure hydraulic pressure,
s1: classifying index weight analysis;
s2: selecting an index which has large weight occupation ratio and is easy to obtain in the early stage of construction as a characteristic index;
s3: collecting and counting characteristic indexes of large deformation typical sections with different degrees, and combining the large deformation degrees corresponding to the characteristic indexes to obtain a large deformation rapid grading table;
the characteristic index comprises: lithology and geological structure, maximum deformation rate within three days, accumulated deformation of monitoring sections within 10 meters, groundwater condition and deformation and damage characteristics of supported sections;
the degree of large deformation is classified into a slight large deformation, a moderate large deformation, a severe I large deformation and a severe I I large deformation.
The method comprises the step of selecting the characteristic indexes to comprise deformation damage characteristics of the supported section, and predicting the possible large deformation degree of the non-construction section according to the deformation degree of the constructed section and the corresponding characteristic data thereof, so that effective guidance is provided for the improvement of the construction scheme of the non-construction section. Meanwhile, the characteristic index selected by the method is derived from a construction site and is easy to obtain; the characteristic index and the large deformation of the soft rock tunnel are strongly associated, so that the accuracy of classification of the large deformation can be ensured.
Preferably, the lithology includes lithology composition and ratio, rock mass structure and rock mass strength.
Preferably, the rock mass strength is characterized by a face shape; the rock mass strength is divided into harder rock mass, softer rock mass and softer rock mass; when the rock is harder, a complete tunnel face can be formed after excavation; when the rock is softer, the face slightly drops after excavation; when the rock is soft, the face is seriously blocked after excavation; and when the rock mass is soft, the face surface is powdery after excavation.
The rock mass strength in this application need not carry out the experiment and acquires, but creatively characterizes through the face condition after the excavation, and data acquisition is easier, the quick judgement of the big deformation condition of being convenient for.
Preferably, the large deformation degree is divided according to the maximum deformation rate within three days and the accumulated deformation of the monitoring section within 10 meters; the 10-meter-in monitoring section accumulated deformation comprises five-day accumulated deformation and ten-day accumulated deformation.
Preferably, the maximum deformation rates within three days corresponding to the slight large deformation, the medium large deformation, the serious I large deformation and the serious I I large deformation are 5mm/d-10mm/d, 10mm/d-20mm/d, 20mm/d-30mm/d and more than 30mm/d respectively.
Preferably, the five-day cumulative deformation amounts corresponding to the slight large deformation, the medium large deformation, the serious I large deformation and the serious I I large deformation are respectively 20mm-40mm, 40mm-80mm, 80mm-120mm and more than 120mm; the ten-day cumulative deformation amounts corresponding to the slight large deformation, the medium large deformation, the serious I large deformation and the serious I I large deformation are respectively 30mm-80mm, 80mm-150mm, 150mm-210mm and more than 210mm.
Preferably, the geological structure comprises a structure influence degree, an joint development degree and a surrounding rock state after excavation.
Preferably, the groundwater conditions corresponding to the slightly large deformation, the moderately large deformation, the severely I large deformation and the severely I I large deformation are dry-water seepage, water seepage/humidity/drip, humidity/drip/strand, respectively.
Preferably, the supported section deformation failure feature comprises a cavity wall deformation feature and a layer of primary support failure features.
The support improvement direction of the subsequent working section can be known according to the primary support destruction characteristics of one layer.
Preferably, the S1 specifically obtains the probability of influence of each grading index on the large deformation by using a fuzzy evaluation matrix method.
The invention has at least the following beneficial effects: the characteristic data is easy to obtain in the construction stage, the characteristic data comprises deformation damage characteristics of the supported section, the large deformation classification accuracy obtained by combining natural environment factors and artificial support scheme factors is higher, and the large deformation classification method obtained by the constructed section can be used for predicting the large deformation condition of the subsequent section and guiding the improvement of the subsequent construction scheme.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings that are needed in the embodiments will be briefly described below, it being understood that the following drawings only illustrate some embodiments of the present invention and therefore should not be considered as limiting the scope, and other related drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.
FIG. 1 is a graph of probability of influence of various classification indicators on large deformations;
FIG. 2 is a graph of maximum deformation rate versus tunnel mileage;
FIG. 3 is a graph of face lithology and structural classification versus maximum deformation rate.
Detailed Description
For the purpose of making the objects, technical solutions and advantages of the embodiments of the present invention more clear, the technical solutions in the embodiments of the present invention are clearly and completely described, and it is obvious that the described embodiments are some embodiments of the present invention, but not all embodiments. The components of the embodiments of the present invention generally described and illustrated in the figures herein may be arranged and designed in a wide variety of different configurations.
Example 1:
analyzing construction indexes of the Desheng tunnel in combination with the large deformation condition of the soft rock to obtain a large deformation grading index table, wherein the large deformation grading index table is specifically as follows:
a method for quickly judging and classifying the large deformation of soft rock for construction includes such steps as providing a high-pressure hydraulic pressure,
s1: and (5) analyzing the grading index weight: obtaining an influence probability diagram of each grading index on large deformation by adopting a fuzzy evaluation matrix method, wherein the influence probability diagram is shown in fig. 1;
s2: selecting an index which has large weight occupation ratio and is easy to obtain in the early stage of construction as a characteristic index;
in order to rapidly judge the large deformation condition of the surrounding rock of the tunnel during construction, the integrity of the surrounding rock is described by lithology and geological structure by combining the acquisition easiness of indexes, the supporting quality takes the primary supporting deformation characteristic and the supporting damage characteristic as judging indexes, the monitoring measurement takes the accumulated maximum deformation and the deformation rate of the supported section within 10m as references, and the groundwater condition takes the state of the groundwater after excavation as indexes. The strength stress ratio also occupies higher influence probability, but the strength stress ratio needs to be measured by the ground stress and the strength measured by the indoor test of the rock, and then the strength is calculated, so that the acquisition is more troublesome in the vertical rod stage.
S3: collecting and counting characteristic indexes of large deformation typical sections with different degrees, and combining the large deformation degrees corresponding to the characteristic indexes to obtain a large deformation rapid grading table;
in order to analyze the relation between each construction index and the large deformation of the soft rock of the Desheng tunnel, the maximum deformation rate of each section, the maximum accumulated deformation amount of 5 days and 10 days are plotted and analyzed (see figure 2), and the surrounding rock is divided into slight, medium, serious I and serious I I large deformation according to the lithology division of the face, and the large deformation division result of the maximum deformation rate and the accumulated deformation amount of 5 days/10 days is matched well (see figure 3).
The rapid grading method of the large deformation of the soft rock applied to construction is finally obtained through analysis through a plurality of construction section information including face sketch, deformation rate, maximum accumulated deformation and failure form of the supported section, and is shown in table 1.
TABLE 1
Figure BDA0004023352240000061
Figure BDA0004023352240000071
The above is only a preferred embodiment of the present invention, and is not intended to limit the present invention, but various modifications and variations can be made to the present invention by those skilled in the art. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present invention should be included in the protection scope of the present invention.

Claims (10)

1. A method for quickly distinguishing and grading large deformation of soft rock applied to construction is characterized by comprising the following steps of,
s1: classifying index weight analysis;
s2: selecting an index which has large weight occupation ratio and is easy to obtain in the early stage of construction as a characteristic index;
s3: collecting and counting characteristic indexes of large deformation typical sections with different degrees, and combining the large deformation degrees corresponding to the characteristic indexes to obtain a large deformation rapid grading table;
the characteristic index comprises: lithology and geological structure, maximum deformation rate within three days, accumulated deformation of monitoring sections within 10 meters, groundwater condition and deformation and damage characteristics of supported sections;
the degree of large deformation is classified into a slight large deformation, a moderate large deformation, a severe I large deformation and a severe II large deformation.
2. The method for rapidly discriminating and grading large deformation of soft rock applied to construction according to claim 1 wherein said lithology includes lithology composition and ratio, rock mass structure and rock mass strength.
3. The method for rapidly discriminating and grading large deformation of soft rock applied to construction according to claim 1, wherein said rock mass strength is characterized by a face shape; the rock mass strength is divided into harder rock mass, softer rock mass and softer rock mass; when the rock is harder, a complete tunnel face can be formed after excavation; when the rock is softer, the face slightly drops after excavation; when the rock is soft, the face is seriously blocked after excavation; and when the rock mass is soft, the face surface is powdery after excavation.
4. The method for rapidly distinguishing and classifying large deformation of soft rock applied to construction according to any one of claims 1 to 3, wherein the large deformation degree is divided according to the maximum deformation rate within three days and the cumulative deformation of the monitoring section within 10 meters; the 10-meter-in monitoring section accumulated deformation comprises five-day accumulated deformation and ten-day accumulated deformation.
5. The method for rapidly distinguishing and classifying large deformation of soft rock applied to construction according to claim 4, wherein the maximum deformation rates in three days corresponding to the slight large deformation, the medium large deformation, the serious I large deformation and the serious II large deformation are 5mm/d-10mm/d, 10mm/d-20mm/d, 20mm/d-30mm/d and more than 30mm/d respectively.
6. The rapid discrimination and classification method for large deformation of soft rock applied to construction according to claim 5, wherein the five-day cumulative deformation amounts corresponding to the slight large deformation, the moderate large deformation, the severe I large deformation and the severe II large deformation are 20mm-40mm, 40mm-80mm, 80mm-120mm, and more than 120mm, respectively; the ten-day accumulated deformation amounts corresponding to the slight large deformation, the medium large deformation, the serious I large deformation and the serious II large deformation are respectively 30mm-80mm, 80mm-150mm, 150mm-210mm and more than 210mm.
7. The method for rapidly discriminating and grading large deformation of soft rock applied to construction according to claim 4 wherein said geological structure includes a degree of influence of the structure, a degree of development of joints and a state of surrounding rock after excavation.
8. The method for rapidly discriminating and grading soft rock large deformation applied to construction according to claim 4 wherein said groundwater conditions corresponding to said slight large deformation, said moderate large deformation, said severe I large deformation and said severe II large deformation are dry-water seepage, water seepage/wetting/dripping, wetting/dripping/stranding respectively.
9. The method for rapidly discriminating and grading large deformation of soft rock applied to construction according to claim 4 wherein said supported section deformation failure feature includes a hole wall deformation feature and a layer of primary support failure feature.
10. The method for rapidly distinguishing and grading the large deformation of the soft rock applied to construction according to claim 4, wherein the step S1 is specifically that a fuzzy evaluation matrix method is adopted to obtain the influence probability of each grading index on the large deformation.
CN202211695698.4A 2022-12-28 2022-12-28 Soft rock large deformation rapid distinguishing and grading method applied to construction Pending CN116049942A (en)

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Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN117648737A (en) * 2023-10-26 2024-03-05 中铁二院工程集团有限责任公司 Quick judging and identifying method and equipment for large deformation of soft rock
CN117171841B (en) * 2023-08-03 2024-04-05 中铁二院工程集团有限责任公司 Method for determining large deformation grade of surrounding rock of excavation section in railway tunnel during construction period

Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN117171841B (en) * 2023-08-03 2024-04-05 中铁二院工程集团有限责任公司 Method for determining large deformation grade of surrounding rock of excavation section in railway tunnel during construction period
CN117648737A (en) * 2023-10-26 2024-03-05 中铁二院工程集团有限责任公司 Quick judging and identifying method and equipment for large deformation of soft rock

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