CN117452497A - Method for prejudging fracture type of deep-buried TBM tunnel based on microseismic information - Google Patents
Method for prejudging fracture type of deep-buried TBM tunnel based on microseismic information Download PDFInfo
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- G01V—GEOPHYSICS; GRAVITATIONAL MEASUREMENTS; DETECTING MASSES OR OBJECTS; TAGS
- G01V1/00—Seismology; Seismic or acoustic prospecting or detecting
- G01V1/28—Processing seismic data, e.g. for interpretation or for event detection
- G01V1/30—Analysis
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01V—GEOPHYSICS; GRAVITATIONAL MEASUREMENTS; DETECTING MASSES OR OBJECTS; TAGS
- G01V1/00—Seismology; Seismic or acoustic prospecting or detecting
- G01V1/28—Processing seismic data, e.g. for interpretation or for event detection
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Abstract
The invention provides a method for pre-judging the fracture type of a deeply buried TBM tunnel based on microseismic information. The fracture type rock burst type prejudging method comprises the following steps: s1, carrying out microseismic monitoring work in a rock burst risk area, and determining a rock burst microseismic activity space early warning unit by analyzing information of the occurred fracture type rock burst microseismic activity; s2, acquiring and processing microseism monitoring information in the rock burst microseism activity space early warning unit in the step S1; s3, comparing the microseismic monitoring information obtained by the S2 analysis in the potential rock burst inoculation process with the known microseismic monitoring information in the fracture type rock burst inoculation process, and comprehensively pre-judging whether the potential rock burst type is fracture type rock burst. The method has higher accuracy, can pre-judge the potential fracture type rock burst type in advance, provides scientific basis for fracture type rock burst early warning and prevention and control, and has high engineering practical value.
Description
Technical Field
The invention relates to the technical field of tunnel rock burst microseismic monitoring, in particular to a method for pre-judging the fracture type of a deeply buried TBM tunnel based on microseismic information, which is suitable for tunnel construction by adopting TBM tunneling in various projects.
Background
The rock burst is the dynamic phenomenon that surrounding rock bursts and ejects in time and has strong burst, randomness and hazard when the elastic energy gathered in the underground engineering rock is suddenly released under excavation or other external disturbance. According to the rock burst inoculation mechanism, rock burst types can be divided into strain type rock burst, strain-structural plane sliding type rock burst and fracture type rock burst. There are large differences in the mechanism of inoculation, the mechanism of rupture and the scale of destruction of different rock burst types, wherein the fracture type rock burst has a larger impact area and stronger destructive power, and even strong rock burst with strong continuity can be initiated or even possibly induced. Therefore, corresponding rock burst early warning is necessary to be carried out aiming at different rock burst types, and the pre-judging of the rock burst type is a primary premise for carrying out rock burst early warning.
In recent years, students at home and abroad research on rock burst type prejudgment, and a certain research result is obtained. The Chinese patent of the invention, "method for prejudging rock burst type", publication No. CN110456413A, discloses a rock burst type prejudging method based on microseismic parameters, which carries out microseismic monitoring on the inoculation process of potential rock burst, determines the type of the potential rock burst according to the obtained microseismic monitoring parameters of the inoculation process of the potential rock burst and the microseismic monitoring parameters of the inoculation process of known rock burst, but is mainly used for prejudging strain type rock burst and strain-structural surface sliding type rock burst types, does not prejudge fracture type rock burst types, and does not establish a specific prejudging method. In addition, for the type of the fracture type rock burst which is potential to occur at present, expert students more prejudge through early geological investigation results or on-site geological information which is disclosed, and the information is limited, and the on-site geological investigation results show that the fracture may not be disclosed yet, so that the type of the rock burst cannot be prejudged in time, and the fracture type rock burst is inaccurate in early warning result and delayed in early warning time. In summary, for fracture type rock burst type pre-judgment, no corresponding and specific type pre-judgment method is established at present.
Disclosure of Invention
According to the technical problems mentioned in the background art, a method for predicting the fracture type of the deep buried TBM tunnel based on microseismic information is provided. The invention aims to establish a corresponding pre-judging method aiming at the fracture type rock burst type, lays a foundation for developing fracture type rock burst early warning, and provides a specific fracture type rock burst type pre-judging method based on microseismic information.
The invention adopts the following technical means:
a method for prejudging fracture type of a deeply buried TBM tunnel based on microseismic information comprises the following steps:
s1, carrying out microseismic monitoring work in a rock burst risk area, and determining a rock burst microseismic activity space early warning unit by analyzing information of the occurred fracture type rock burst microseismic activity;
s2, acquiring and processing microseism monitoring information in the rock burst microseism activity space early warning unit in the S1;
s3, comparing the microseismic monitoring information in the potential rock burst inoculation process obtained by the S2 analysis with the microseismic monitoring information in the known fracture type rock burst inoculation process, and comprehensively predicting whether the potential rock burst type is fracture type rock burst.
Further, in the step S1, the range of the rock burst micro-vibration activity early warning unit includes: the microseismic event distribution ranges in front of and behind the tunnel face, the microseismic event distribution ranges on the left and right sides perpendicular to the tunnel axis, and the microseismic event distribution ranges above and below the tunnel axis.
Further, in S2, the microseismic monitoring information includes: the microseismic event spatial distribution characteristics, the cumulative apparent volume increase rate of adjacent microseismic events, and the cumulative apparent stress to cumulative dynamic stress decrease ratio.
Further, the microseismic event spatial distribution characteristics are obtained according to microseismic monitoring data acquisition and processing.
Further, according to the microseismic monitoring information described in step S2, the cumulative apparent volume increase rate of the adjacent microseismic events is calculated according to the following formula:
Cum.AV i ＝∑ i＝1 AV i ；
wherein AV is provided i Microseismic view volume, AV, representing a microseismic event at time i i-1 Microseismic apparent volume, cur.AV, representing a microseismic event at time i-1 i CAVG representing cumulative apparent volume of microseismic events at time i i Indicating the cumulative apparent volume burst rate of adjacent microseismic events at time i.
Further, the microseismic monitoring information, the ratio of the cumulative apparent stress to the cumulative dynamic stress drop, is obtained by the following formula:
Cum.AS i ＝∑ i＝1 AS i ；
Cum.DSD i ＝∑ i＝1 DSD i ；
wherein AS i Visual stress representing microseismic event at moment i and DSD i Dynamic stress drop representing microseismic event at time i, cur.AS i Cumulative apparent stress representing microseismic event at time i, cur. DSD i Representing the cumulative dynamic stress drop, K, of the microseismic event at time i i The ratio of the cumulative visual stress to the cumulative dynamic stress drop at time i is shown.
Further, in the comprehensive pre-judging process, the potential rock burst microseismic monitoring information calculation result is compared with the known fracture type rock burst inoculation process microseismic monitoring information calculation result, if the condition is met, the potential rock burst is pre-judged to be of fracture type rock burst type, and if the condition is not met, the potential rock burst is pre-judged to be of strain type rock burst or strain-structural surface sliding type rock burst type.
Compared with the prior art, the invention has the following advantages:
firstly, carrying out microseismic monitoring work in a rock burst risk area, and establishing a fracture type rock burst early warning unit range through a fracture type rock burst case; and comparing the microseismic monitoring information in the potential rock burst inoculation process with the known microseismic monitoring information in the fracture rock burst inoculation process by acquiring and analyzing the microseismic monitoring information in the early warning unit in the potential rock burst inoculation process, so as to determine whether the potential rock burst type is fracture rock burst. Compared with the prior art, the invention has the following advantages: the method realizes the advanced pre-judgment of the fracture type of the deeply buried TBM tunnel, improves the accuracy of pre-judgment of the fracture type, and provides scientific basis for the pre-warning, prevention and control of the fracture type in the next step.
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In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings that are required in the embodiments or the description of the prior art will be briefly described, and it is obvious that the drawings in the following description are some embodiments of the present invention, and other drawings may be obtained according to the drawings without inventive effort to a person skilled in the art.
FIG. 1 is a flow chart of a method for predicting the fracture type of a deeply buried TBM tunnel based on microseismic information;
FIG. 2 is a block diagram of a rock burst early warning unit in a flow chart of a method for pre-judging a rock burst type of a deep buried TBM tunnel based on microseismic information shown in FIG. 1;
FIG. 3 is a view showing the spatial distribution characteristics of microseismic events in the fracture-type rock burst type pre-judging condition in the flow chart of the fracture-type rock burst type pre-judging method of the deep buried TBM tunnel based on microseismic information shown in FIG. 1;
FIG. 4 is a graph showing the time evolution law of cumulative apparent volume increase rate of adjacent microseismic events in a fracture type rock burst type pre-judging condition in a flow chart of a fracture type rock burst type pre-judging method of the deep buried TBM tunnel based on microseismic information shown in FIG. 1;
fig. 5 is a time evolution law of a ratio of cumulative apparent stress to cumulative dynamic stress drop in a fracture type rock burst type pre-judging condition in a flow chart of the fracture type rock burst type pre-judging method of the deep buried TBM tunnel based on microseismic information shown in fig. 1.
Detailed Description
In order that those skilled in the art will better understand the present invention, a technical solution in the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in which it is apparent that the described embodiments are only some embodiments of the present invention, not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the present invention without making any inventive effort, shall fall within the scope of the present invention.
It should be noted that the terms "first," "second," and the like in the description and the claims of the present invention and the above figures are used for distinguishing between similar objects and not necessarily for describing a particular sequential or chronological order. It is to be understood that the data so used may be interchanged where appropriate such that the embodiments of the invention described herein may be implemented in sequences other than those illustrated or otherwise described herein. Furthermore, the terms "comprises," "comprising," and "having," and any variations thereof, are intended to cover a non-exclusive inclusion, such that a process, method, system, article, or apparatus that comprises a list of steps or elements is not necessarily limited to those steps or elements expressly listed but may include other steps or elements not expressly listed or inherent to such process, method, article, or apparatus.
As shown in fig. 1-5, the invention provides a method for predicting the fracture type of a deep buried tunnel rock burst (TBM) based on microseismic information, which comprises the following steps:
s1, carrying out microseismic monitoring work in a rock burst risk area, and determining a rock burst microseismic activity space early warning unit by analyzing information of the occurred fracture type rock burst microseismic activity;
s2, acquiring and processing microseism monitoring information in the rock burst microseism activity space early warning unit in the S1;
s3, comparing the microseismic monitoring information in the potential rock burst inoculation process obtained by the S2 analysis with the microseismic monitoring information in the known fracture type rock burst inoculation process, and comprehensively predicting whether the potential rock burst type is fracture type rock burst.
Preferably, in the step S1, the range of the rockburst microseismic activity early warning unit includes: the microseismic event distribution ranges in front of and behind the tunnel face, the microseismic event distribution ranges on the left and right sides perpendicular to the tunnel axis, and the microseismic event distribution ranges above and below the tunnel axis.
As a preferred embodiment, in S2, the microseismic monitoring information includes: the microseismic event spatial distribution characteristics, the cumulative apparent volume increase rate of adjacent microseismic events, and the cumulative apparent stress to cumulative dynamic stress decrease ratio.
As a preferred implementation mode, the microseismic event spatial distribution characteristics are obtained according to microseismic monitoring data acquisition and processing.
As a preferred embodiment, the microseismic monitoring information described in step S2, and the cumulative apparent volume increase rate of adjacent microseismic events is calculated according to the following formula:
Cum.AV i ＝∑ i＝1 AV i ；
wherein AV is provided i Microseismic view volume, AV, representing a microseismic event at time i i-1 Microseismic apparent volume, cur.AV, representing a microseismic event at time i-1 i CAVG representing cumulative apparent volume of microseismic events at time i i Indicating the cumulative apparent volume burst rate of adjacent microseismic events at time i.
As a preferred embodiment, the microseismic monitoring information is obtained by the following formula:
Cum.AS i ＝∑ i＝1 AS i ；
Cum.DSD i ＝∑ i＝1 DSD i ；
wherein AS i Visual stress representing microseismic event at moment i and DSD i Dynamic stress drop representing microseismic event at time i, cur.AS i Cumulative apparent stress representing microseismic event at time i, cur. DSD i Representing the cumulative dynamic stress drop, K, of the microseismic event at time i i The ratio of the cumulative visual stress to the cumulative dynamic stress drop at time i is shown.
In the S3, as a preferred embodiment, the comprehensive pre-judging process compares the calculation result of the potential rock burst microseismic monitoring information with the calculation result of the microseismic monitoring information in the known fracture type rock burst inoculation process, if the condition is satisfied, the potential rock burst is pre-judged to be the fracture type rock burst, and if the condition is not satisfied, the potential rock burst is pre-judged to be the strain type rock burst or the strain-structural surface sliding type rock burst.
Example 1
FIG. 1 is a flow chart of a method for predicting the fracture type of a deeply buried TBM tunnel based on microseismic information; in the invention, firstly, microseismic monitoring work is carried out in a rock burst risk area, and a fracture type rock burst early warning unit range is established through a fracture type rock burst case; and comparing the microseismic monitoring information in the potential rock burst inoculation process with the known microseismic monitoring information in the fracture rock burst inoculation process by acquiring and analyzing the microseismic monitoring information in the early warning unit in the potential rock burst inoculation process, so as to determine whether the potential rock burst type is fracture rock burst. The known rock burst types include strain type rock burst, strain-structural plane slip type rock burst, and fracture type rock burst.
Acquiring potential rock burst microseismic monitoring information and rock burst microseismic monitoring information of a known fracture type rock burst inoculation process according to a rock burst early warning unit, acquiring microseismic event space distribution characteristics, calculating a CAVG value and a K value, and then determining whether the potential rock burst type is fracture type rock burst;
it should be noted that if the potential microseismic monitoring information in the early warning unit meets the fracture type rock burst pre-judging condition, namely, the microseismic event shows a significant distribution trend along fracture in space, the CAVG value is greater than 45%, and the K value is wholly in an ascending trend along time, the potential rock burst type is judged to be fracture type rock burst, otherwise, the potential rock burst type is judged to be strain type rock burst or strain-structural plane sliding type rock burst;
the following describes a method for prejudging the rock burst type by applying the invention in actual engineering:
during the tunneling of the project, 5-fracture type rock burst occurs altogether. Calculating a fracture type rock burst space early warning unit (shown in figure 2) by integrating the occurred 5 fracture type rock burst cases, acquiring microseismic monitoring information in the early warning unit along with TBM tunneling on the basis of the fracture type rock burst space early warning unit to obtain microseismic event space distribution characteristics, and further calculating CAVG values and K values;
the following table 1 is the microseismic information in a fracture type rock burst case early warning unit of a certain deeply buried TBM tunnel, and corresponds to the microseismic monitoring data processing in the step S2;
acquiring the spatial distribution characteristics of the microseismic event (shown in fig. 3), and calculating to obtain the evolution law of CAVG values and K values with time (shown in fig. 4 and 5);
during the subsequent excavation period of the project, rock explosion microseismic monitoring is carried out on a potential rock explosion area, microseismic monitoring information in an early warning unit is obtained, and the time evolution law of the microseismic event space distribution characteristics, CAVG values and K values is obtained. Comparing the time evolution law of the obtained spatial distribution characteristics of the microseismic events, the CAVG value and the K value with the time evolution law of the spatial distribution characteristics of the microseismic events, the CAVG value and the K value of the fracture type rock burst, wherein the comparison result shows that the microseismic monitoring information meets the following characteristics that the microseismic events show significant time-wise fracture distribution characteristics in space, the CAVG value is more than 45%, and the K value is in an ascending trend along with time, thereby judging the potential rock burst typeIs broken rock burst。
In the subsequent excavation process, rock burst occurs in the early warning unit, and on-site geological survey shows that the rock burst which occurs this time is a broken rock burst, and the rock burst type prejudgment result is consistent with the rock burst type which occurs actually.
The foregoing embodiment numbers of the present invention are merely for the purpose of description, and do not represent the advantages or disadvantages of the embodiments. In the foregoing embodiments of the present invention, the descriptions of the embodiments are emphasized, and for a portion of this disclosure that is not described in detail in this embodiment, reference is made to the related descriptions of other embodiments. In the several embodiments provided in the present application, it should be understood that the disclosed technology content may be implemented in other manners.
Finally, it should be noted that: the above embodiments are only for illustrating the technical solution of the present invention, and not for limiting the same; although the invention has been described in detail with reference to the foregoing embodiments, it will be understood by those of ordinary skill in the art that: the technical scheme described in the foregoing embodiments can be modified or some or all of the technical features thereof can be replaced by equivalents; such modifications and substitutions do not depart from the spirit of the invention.
Claims (7)
1. A method for prejudging the fracture type of a deeply buried TBM tunnel based on microseismic information is characterized by comprising the following steps:
s1, carrying out microseismic monitoring work in a rock burst risk area, and determining a rock burst microseismic activity space early warning unit by analyzing information of the occurred fracture type rock burst microseismic activity;
s2, acquiring and processing microseism monitoring information in the rock burst microseism activity space early warning unit in the S1;
s3, comparing the microseismic monitoring information in the potential rock burst inoculation process obtained by the S2 analysis with the microseismic monitoring information in the known fracture type rock burst inoculation process, and comprehensively predicting whether the potential rock burst type is fracture type rock burst.
2. The method for pre-judging the fracture type of the deep buried TBM tunnel based on the microseismic information according to claim 1, wherein in the step S1, the range of the rock burst microseismic activity pre-warning unit comprises the following steps: the microseismic event distribution ranges in front of and behind the tunnel face, the microseismic event distribution ranges on the left and right sides perpendicular to the tunnel axis, and the microseismic event distribution ranges above and below the tunnel axis.
3. The method for predicting the fracture type of the deep buried TBM tunnel based on the microseismic information according to claim 1, wherein in S2, the microseismic monitoring information includes: the microseismic event spatial distribution characteristics, the cumulative apparent volume increase rate of adjacent microseismic events, and the cumulative apparent stress to cumulative dynamic stress decrease ratio.
4. The method for prejudging the fracture type of the deep-buried TBM tunnel based on the microseismic information according to claim 3, wherein the microseismic event spatial distribution characteristics are obtained according to microseismic monitoring data acquisition and processing.
5. The method for predicting the fracture type of a deep buried TBM tunnel based on microseismic information according to claim 1 or 3, wherein the microseismic monitoring information in step S2 is calculated according to the following formula:
Cum.AV i ＝∑ i＝1 AV i ；
wherein AV is provided i Microseismic view volume, AV, representing a microseismic event at time i i-1 Microseismic apparent volume, cur.AV, representing a microseismic event at time i-1 i CAVG representing cumulative apparent volume of microseismic events at time i i Indicating the cumulative apparent volume burst rate of adjacent microseismic events at time i.
6. The method for predicting the fracture type of the deep buried TBM tunnel based on the microseismic information according to claim 1, 3 or 5, wherein the microseismic monitoring information is a ratio of cumulative apparent stress to cumulative dynamic stress drop, and is obtained by the following formula:
Cum.AS i ＝∑ i＝1 AS i ；
Cum.DSD i ＝∑ i＝1 DSD i ；
wherein AS i Visual stress representing microseismic event at moment i and DSD i Dynamic stress drop representing microseismic event at time i, cur.AS i Cumulative apparent stress representing microseismic event at time i, cur. DSD i Representing cumulative dynamic response of microseismic events at time iForce drop, K i The ratio of the cumulative visual stress to the cumulative dynamic stress drop at time i is shown.
7. The method for prejudging the fracture type of the deep buried TBM tunnel according to claim 1, wherein the comprehensive prejudging process is characterized in that the calculation result of potential rock burst microseismic monitoring information is compared with the calculation result of microseismic monitoring information in the known fracture type rock burst inoculation process, if the condition is met, the fracture type rock burst is prejudged, and if the condition is not met, the fracture type rock burst is prejudged as the strain type rock burst or the strain-structural surface sliding type rock burst.
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