CN109765097B - Tunnel surrounding rock rapid classification method based on RPD drilling machine - Google Patents
Tunnel surrounding rock rapid classification method based on RPD drilling machine Download PDFInfo
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Abstract
The invention provides a tunnel surrounding rock rapid classification method based on an RPD (resilient packet digital) drilling machine, which combines surrounding rock classification in a construction period with the RPD drilling machine to form a rapid classification method of the tunnel surrounding rock. The method provided by the invention can determine the front surrounding rock condition in a drilling coring mode on the current construction site, and provides a set of surrounding rock rapid classification method based on RPD (resilient packet digital) rig coring.
Description
Technical Field
The invention belongs to the technical field of tunnel surrounding rock classification methods, and particularly relates to a tunnel surrounding rock rapid classification method based on an RPD (resilient packet digital) drilling machine.
Background
In recent years, urban subway construction in China enters a rush hour, and as underground engineering is vigorously developed, more and more unfavorable geology and complex geology are revealed, so that the situation of surrounding rocks in front is judged quickly and accurately, the method has important significance for safe construction and quick construction, and how to realize quick classification of the surrounding rocks at a first construction site is a key point of attention of construction personnel.
At present, an accurate and quick classification system is lacked in surrounding rock classification in a construction stage, a traditional crawler-type drilling machine cannot achieve quick coring and accurate analysis, so that the construction period is prolonged, the detection distance of the traditional advanced geological prediction method is short, the accuracy is poor, therefore, before each construction, more workers are needed to perform system detection and analysis on the surrounding rock to be constructed, whether the construction work is suitable for being carried out or not can be determined, the construction efficiency is seriously influenced, and the subway construction completion time is prolonged. Therefore, the surrounding rocks are quickly and accurately classified in the construction stage, and the advanced judgment of the forward potential disasters is the key point of future development.
At present, the RPD drilling machine is used more and more in tunnel construction, and is well known because of the characteristics of rapid construction and high applicable engineering conditions, but even if the RPD drilling machine is used in construction, the effect of rapidly sampling and drilling a rock layer can be only solved, whether the rock core sample is suitable for construction can be determined after the rock core sample is manually analyzed and judged, the construction efficiency is still low, and therefore, a method which is intelligent, rapid and can be combined with the RPD drilling machine to carry out unified judgment on the rock quality needs to be developed urgently.
Disclosure of Invention
In order to solve the problems in the prior art, the invention provides the tunnel surrounding rock rapid classification method based on the RPD drilling machine, which can combine surrounding rock classification with the RPD drilling machine during construction and form a set of systematic unified judgment by means of judging the quality of a rock core sample by a computer system.
The specific technical scheme of the invention is as follows:
the invention provides a tunnel surrounding rock rapid classification method based on an RPD (resilient packet digital) drilling machine, which comprises the following steps:
s1, collecting core samples of tunnel surrounding rocks of multiple different levels of standards by using a crawler-type drilling machine, collecting pictures in a drill hole while collecting the core samples at each time, sequentially and respectively carrying out uniaxial compressive strength value test, drilling machine thrust test, RQD value test, segmentation degree analysis and weathering degree analysis on the core samples, simultaneously carrying out joint condition index analysis on the pictures in the drill hole, generating evaluation parameters for evaluating rock levels, setting interval value classification on the evaluation parameters, and presetting score values on the interval value classification to be different, namely, forming a preset thrust evaluation standard table, an RQD value score standard table, a core quality standard table and a joint evaluation standard table.
S2, using an RPD (resilient rocky soil) drilling machine to collect core samples of surrounding rocks to be excavated in the tunnel, simultaneously measuring a propulsive force index of the RPD drilling machine in the collection process, and calculating and outputting a propulsive force index score according to the propulsive force evaluation standard table preset in the step S1, wherein the propulsive force index comprises a rock uniaxial compressive strength value and a drilling machine propulsive force;
s3, carrying out segmentation length analysis on the core sample collected by the RPD drilling machine in the step S2, calculating the RQD value of the core sample, and evaluating the RQD value and the RQD value scoring standard table preset in the step S1 to output the evaluation score of the RQD value;
s4, performing quality analysis on the core sample collected in the step S2, and evaluating according to the core quality standard table preset in the step S1 and simultaneously outputting a core sample quality score, wherein the quality analysis comprises segmentation degree analysis of the core sample and weathering degree analysis of the core sample;
s5, in the step S2, the RPD drilling machine obtains the core sample, meanwhile, a plurality of drilling hole internal pictures are obtained through shooting equipment installed on the RPD drilling machine, the obtained drilling hole internal pictures are subjected to picture analysis to obtain joint space values and joint width values, and meanwhile, evaluation is carried out according to the joint evaluation standard table preset in the step S1 to output joint scores;
and S6, counting the sum of the scores in the steps S2 to S5, and performing rapid grade classification on the surrounding rock to be excavated in the tunnel according to a standard index table of the RPD drilling machine preset by the system.
Further, in step S2, the step of measuring the propulsion index of the RPD drilling machine during the collection process, and calculating and outputting the propulsion index score according to the preset propulsion evaluation criteria includes the steps of:
s2-1, sequentially processing the core sample collected by the crawler-type drilling machine in the step S1 through a stone cutting machine, a stone grinding machine and a core drilling machine to form a standard test piece, and meanwhile, generating the propulsion force standard value of the crawler-type drilling machine;
s2-2, carrying out an indoor uniaxial compression test on the standard test piece to obtain uniaxial compression strength values of the core sample with different levels of standards, and corresponding the obtained propulsion standard value and the uniaxial compression strength value and giving an evaluation score to form a propulsion evaluation standard table;
and S2-3, corresponding the drilling machine propelling force of the core sample obtained by the RPD drilling machine and the corresponding rock uniaxial compressive strength value to the propelling force evaluation standard table, and outputting the propelling force index score.
Further, the specific method of step S3 is:
s3-1, carrying out segmentation length analysis on a plurality of core samples with different grades of standards obtained by a crawler-type drilling machine and the core samples collected by the RPD drilling machine, respectively calculating the quality fraction RQD values of the core samples obtained by the crawler-type drilling machine and the RPD drilling machine through the following formula,
s3-2, setting evaluation scores for the RQD values of the mass scores of the various core samples calculated by the crawler-type drilling machine to establish a rating standard table of the RQD values;
and S3-3, corresponding the core sample quality score RQD value calculated by the RPD drilling machine to a grading standard table of the RQD value and outputting the RQD value evaluation score.
Further, in step S3-2, the scoring criteria table includes evaluation scores corresponding to different RQD value ranges.
Further, in step S4, when the quality analysis is the segmentation degree analysis of the core sample, the quality analysis is performed on the core sample and the core sample quality score is output while performing evaluation according to a preset core quality standard, and the specific method includes:
I. performing shape analysis on the core sample collected in the step S2 and classifying the core sample according to a preset core quality standard, wherein the preset core quality standard includes a core classification list and a corresponding score list, the core classification list sequentially includes a rod-shaped single-section fracture length of more than 50cm, a rod-shaped single-section fracture length of 15-50cm, a rod-shaped single-section fracture length of 5-15cm, a short rod-shaped core less than 5cm, a disk-shaped core with residual edges and corners, a disk-shaped core with abraded edges, a sand-shaped structure and a clay-shaped structure from top to bottom, and the score list sequentially includes 10 minutes, 8.75 minutes, 7.5 minutes, 6.25 minutes, 5 minutes, 3.75 minutes, 2.5 minutes and 1.25 minutes from top to bottom;
II. And selecting corresponding scores according to the core quality standard and outputting core sample quality scores.
Further, in step S4, when the quality analysis is the weathering degree analysis of the core sample, the quality analysis is performed on the core sample and the core sample quality score is output while performing evaluation according to a preset core quality standard, and the specific method includes:
carrying out multiple rebound tests on the core sample collected in the step S2 to obtain an average rebound value, and obtaining a characteristic rebound value X of the core sample according to the multiple average rebound values, wherein the calculation formula is as follows:
wherein X is the characteristic rebound value, and m is the time number;
grading the weathering degree of the core sample according to the characteristic resilience value X, and evaluating the weathering degree of the core sample corresponding to the core quality standard to output scores, wherein the core quality standard comprises a characteristic resilience value range list, a corresponding weathering grade list and a corresponding score list.
Further, in step S5, performing picture analysis on the obtained picture of the interior of the borehole to obtain a joint distance and a joint width, and meanwhile, performing evaluation according to a preset joint evaluation standard table to output a joint score, wherein the specific method includes:
s5-1, carrying out binarization processing on the obtained picture inside the drill hole to obtain a binary image, and removing noise and a background area with a small area;
and S5-2, marking and measuring the joint interval and the joint width in the binary image, and evaluating the measured joint interval value and the measured joint width value according to a preset joint evaluation standard table to output joint scores, wherein the joint evaluation standard table comprises evaluation scores corresponding to different joint interval value ranges and different joint width value ranges.
Preferably, in step S6, the standard index table of the RPD drilling machine includes surrounding rock quality categories corresponding to different score ranges.
The invention also provides a tunnel surrounding rock rapid classification system based on the RPD drilling machine, which comprises a propulsive force index evaluation module, an RQD value evaluation module, a core sample quality evaluation module, a joint score evaluation module, a statistical module and a quality output module, wherein,
the propulsion index evaluation module is used for measuring the propulsion index of the RPD drilling machine in the collection process, calculating and outputting the propulsion index score according to a preset propulsion evaluation standard table, and sending the propulsion index score to the statistic module, wherein the propulsion index comprises a rock uniaxial compressive strength value and the drilling machine propulsion;
the RQD value evaluation module is used for analyzing the segment length of the core sample collected by the RPD drilling machine, calculating the RQD value of the core sample, evaluating the RQD value and a preset grade standard table of the RQD value to output an RQD value evaluation score and sending the RQD value evaluation score to the statistic module;
the core sample quality evaluation module is used for carrying out quality analysis on the core sample, evaluating according to a preset core quality standard, outputting a core sample quality score and sending the core sample quality score to the statistic module, wherein the quality analysis comprises segmentation degree analysis of the core sample and weathering degree analysis of the core sample;
the joint score evaluation module is used for receiving a plurality of drilling hole internal pictures obtained by shooting equipment installed on the RPD drilling machine, carrying out picture analysis on the obtained drilling hole internal pictures to obtain a joint distance value and a joint width value, simultaneously carrying out evaluation according to a preset joint evaluation standard table to output joint scores and sending the joint scores to the statistic module;
the statistical module is used for calculating the sum of the received scores and sending the sum to the quality output module;
and the quality output module is used for classifying the grades of the surrounding rocks to be excavated in the tunnel according to a preset standard index table of the RPD drilling machine.
The invention has the beneficial effects that: the method provided by the invention can determine the front surrounding rock condition in a drilling coring mode aiming at the current construction site, and provides a set of surrounding rock rapid classification method based on RPD drilling machine coring, which combines surrounding rock classification and RPD drilling machine, thereby achieving the effect of getting double results with half the effort, greatly reducing the construction time and improving the work efficiency; in addition, the rock classification adopts a standardized scoring standard, so that the phenomenon that the judgment is not uniform and accurate due to poor rock core storage or judgment of other human factors is reduced, the RPD drilling machine carries a high-definition camera system, the internal condition of a rock body is accurately obtained, the other purpose of the drilling machine is developed, and the situation that the traditional impact drilling machine is only suitable for excavation and cannot be widely used for coring is changed; the system provided by the invention has a simple structure, can improve the accuracy of judging the tunnel rock types, analyzes and classifies the tunnel rock quality, improves the construction efficiency, greatly shortens the construction period and has strong practicability.
Drawings
Fig. 1 is a flowchart of a fast tunnel surrounding rock classification method based on an RPD drilling machine according to embodiment 1;
FIG. 2 is a schematic view of a core sample obtained by the RPD drill according to example 4, which has a rod shape with a single-segment breaking length of 50cm or more;
FIG. 3 is a schematic diagram of a core sample obtained by the RPD drill described in example 4, which has a single rod-shaped structure with a fracture length of 15-50 cm;
FIG. 4 is a schematic diagram of a core sample obtained by the RPD drill described in example 4, which has a single rod-shaped structure with a fracture length of 5-15 cm;
FIG. 5 is a schematic diagram showing the structure of a short rod having a length of less than 5cm in a core sample obtained by the RPD drill described in example 4;
FIG. 6 is a schematic diagram of the configuration of a disc-shaped core with residual angular edges of the core sample obtained by the RPD drill described in example 4;
FIG. 7 is a schematic diagram of the configuration of a core sample obtained by the RPD drill of example 4, which contains a disk-shaped core with corners ground away;
FIG. 8 is a schematic structural view of a core sample obtained by the RPD drilling machine according to example 4, which is a sand-like structure;
FIG. 9 is a schematic structural view of a core-like clay-like structure obtained by the RPD drill described in example 4;
fig. 10 is a block diagram illustrating a structure of the RPD drilling rig-based tunnel surrounding rock rapid classification system according to embodiment 5.
Detailed Description
The present invention will be described in further detail with reference to the following examples.
Example 1
As shown in fig. 1, an embodiment 1 of the present invention provides a fast tunnel surrounding rock classification method based on an RPD drilling machine, where the classification method includes the following steps:
s1, collecting core samples of tunnel surrounding rocks of multiple different levels of standards by using a crawler-type drilling machine, collecting pictures in a drill hole while collecting the core samples at each time, sequentially and respectively carrying out uniaxial compressive strength value test, drilling machine thrust test, RQD value test, segmentation degree analysis and weathering degree analysis on the core samples, simultaneously carrying out joint condition index analysis on the pictures in the drill hole, generating evaluation parameters for evaluating rock levels, setting interval value classification on the evaluation parameters, and presetting score values for different interval value classifications to form a preset thrust evaluation standard table, an RQD value score standard table, a core quality standard table and a joint evaluation standard table. Using a crawler-type drilling machine to obtain a plurality of tunnel surrounding rock core samples with different quality standards as core sample specimens, wherein the different quality standards are surrounding rocks with different grades, and carrying out strength test on the cores obtained by the crawler-type drilling machine through an indoor uniaxial compression test; and simultaneously, the core sample, the propelling force parameter and the hole probing obtained by the RPD drilling machine are reserved for further analysis.
S2, specifically, measuring the propulsive force index of the RPD drilling machine in the collection process, and calculating and outputting the propulsive force index score according to a preset propulsive force evaluation standard table, wherein the propulsive force index comprises a rock uniaxial compression strength value and the drilling machine propulsive force;
s3, carrying out segmentation length analysis on the core sample collected by the RPD drilling machine in the step S2, calculating an RQD (rock quality index) value of the core sample, and evaluating the RQD value and a preset rating standard table of the RQD value to output an RQD value evaluation score (namely, the percentage of the accumulated length of the rock core with the length of more than 5cm (including 5cm) to the total length of the drilled hole);
s4, performing quality analysis on the core sample collected by the RPD drilling machine in the step S2, evaluating according to a preset core quality standard and outputting a core sample quality score, wherein the quality analysis comprises segmentation degree analysis of the core sample and weathering degree analysis of the core sample;
classifying core samples obtained by an RPD drilling machine according to shapes, counting and classifying the core samples, and defining core subsection shape indexes; and classifying the core samples obtained by the RPD drilling machine according to the weathering degree, counting and classifying, and defining the core weathering degree index.
S5, in the step S2, the core sample collected by the RPD drilling machine simultaneously obtains a plurality of pictures inside the drill hole through a shooting device installed on the RPD drilling machine, explores the rock mass condition inside the exploratory hole, obtains images, observes and records the joint and crack development conditions, performs picture analysis on the obtained pictures inside the drill hole to obtain a joint interval value and a joint width value, combines with a CSIR classification index RMR, and simultaneously evaluates and outputs a joint score according to a preset joint evaluation standard table, wherein the shooting device is installed at the front end of a drill rod of the RPD drilling machine and carries a high-definition camera system, such as a camera.
And S6, counting the sum of the scores in the steps S2 to S5, performing integration analysis, and classifying the grade of the surrounding rock to be excavated in the tunnel according to a preset standard index table of an RPD drilling machine.
The steps are arranged into a computer language and are led into a computer system, automatic statistics and evaluation of scores can be achieved, standardized judgment of rock levels is formed, and classification is carried out, namely, the rapid tunnel surrounding rock classification method based on the RPD drilling machine is established, the accurate judgment of the rock body property in front of the tunnel face can be achieved, further construction guidance can be achieved, the construction risk is reduced, and the construction efficiency is improved.
Example 2
In embodiment 2 of the present invention, the step S2 is further defined on the basis of embodiment 1, where the step S comprises the steps of measuring a propulsion index of the RPD drilling machine during the collection process, and calculating and outputting a propulsion index score according to a preset propulsion evaluation criterion, and the step S comprises:
s2-1, sequentially processing a plurality of surrounding rock core samples of different levels collected by the crawler-type drilling machine through a stone cutting machine, a stone grinding machine and a core drilling machine to form a standard test piece, recording the standard value of the propelling force of the crawler-type drilling machine, and dividing the propelling force, wherein the standard value is shown in a table 1;
s2-2, carrying out an indoor uniaxial compression test on the standard test piece to obtain uniaxial compression strength values of the core sample with different quality standards, corresponding the uniaxial compression strength values to a propulsion standard value as shown in Table 1, and corresponding the obtained propulsion standard value to the uniaxial compression strength value and giving an evaluation score to form a propulsion evaluation standard table as shown in Table 1;
and S2-3, corresponding the drilling machine propelling force of the core sample obtained by the RPD drilling machine and the corresponding rock uniaxial compressive strength value to the propelling force evaluation standard table, and outputting the propelling force index score.
TABLE 1 Propulsion evaluation criteria Table
In summary, for example, when the drill thrust of the core sample obtained by the RPD drill is 7.5 and the uniaxial compressive strength thereof is 10, the fraction thereof, i.e., the output thereof is 4.
Example 3
s3-1, carrying out segmentation length analysis on a plurality of core samples with different quality standards obtained by a crawler-type drilling machine and the core samples collected by the RPD drilling machine, respectively calculating the quality fraction RQD values of the core samples obtained by the crawler-type drilling machine and the RPD drilling machine through the following formula,
s3-2, setting evaluation scores for the RQD values of the mass scores of the various core samples calculated by the crawler-type drilling machine to establish a rating standard table of the RQD values;
and S3-3, corresponding the core sample quality score RQD value calculated by the RPD drilling machine to a grading standard table of the RQD value and outputting the RQD value evaluation score.
Further, in step S3-2, the scoring criteria table includes evaluation scores corresponding to different RQD value ranges.
As shown in table 2, the scoring criteria for RQD (5) are defined in step (2) and are divided into five grades: very poor, generally good, very good. Sequentially scoring as follows: 2 min, 4 min, 6 min, 8 min and 10 min.
TABLE 2 scoring criteria Table for RQD values
For example, when the calculated RQD (5) is 25, the evaluation score at this time is 6.
Example 4
I. performing shape analysis on the core sample collected in the step S1 and classifying the core sample according to a preset core quality standard, wherein the preset core quality standard includes a core classification list and a corresponding score list, the core classification list sequentially includes a rod-shaped single-section fracture length of more than 50cm, a rod-shaped single-section fracture length of 15-50cm, a rod-shaped single-section fracture length of 5-15cm, a short rod-shaped core less than 5cm, a disk-shaped core with residual edges and corners, a disk-shaped core with abraded edges, a sand-shaped structure and a clay-shaped structure from top to bottom, and the score list sequentially includes 10 minutes, 8.75 minutes, 7.5 minutes, 6.25 minutes, 5 minutes, 3.75 minutes, 2.5 minutes and 1.25 minutes from top to bottom;
II. And selecting corresponding scores according to the core quality standard and outputting core sample quality scores.
TABLE 3 core quality Standard Table
For example, as shown in Table 3, when the core sample collected by the RPD drill contains a rod having a single segment break length of 5 to 15cm, the computer output is 7.5 points as shown in FIG. 3.
Further, in step S4, when the quality analysis is the weathering degree analysis of the core sample, the quality analysis is performed on the core sample and the core sample quality score is output while performing evaluation according to a preset core quality standard, and the specific method includes:
carrying out multiple rebound tests on the core sample collected in the step S1 to obtain an average rebound value, and obtaining a characteristic rebound value X of the core sample according to the multiple average rebound values, wherein the calculation formula is as follows:
wherein X is the characteristic rebound value, and m is the time number;
grading the weathering degree of the core sample according to the characteristic resilience value X, and evaluating the weathering degree of the core sample corresponding to the core quality standard to output scores, wherein the core quality standard comprises a characteristic resilience value range list, a corresponding weathering grade list and a corresponding score list.
TABLE 4 standard table for weathering degree of rock core
For example, when the core sample collected by the RPD rig is weakly weathered, discoloration can be observed along the layered surface and rock texture, and part of the mineral content is visible to the naked eye, the computer output is 6 points.
Further, in step S5, performing picture analysis on the obtained picture of the interior of the borehole to obtain a joint distance and a joint width, and meanwhile, performing evaluation according to a preset joint evaluation standard table to output a joint score, wherein the specific method includes:
s5-1, carrying out binarization processing on the obtained picture inside the drill hole to obtain a binary image, and removing noise and a background area with a small area;
and S5-2, marking and measuring the joint interval and the joint width in the binary image, and evaluating the measured joint interval value and the measured joint width value according to a preset joint evaluation standard table to output joint scores, wherein the joint evaluation standard table comprises evaluation scores corresponding to different joint interval value ranges and different joint width value ranges.
Preferably, in step S6, the standard index table of the RPD drilling machine includes surrounding rock quality categories corresponding to different score ranges. The grade of the surrounding rock comprises poor, passing, general, good and excellent grade, after score evaluation, the grade is drawn and output, at the moment, the operation is finished, and the next evaluation is continued.
The invention discloses a tunnel surrounding rock rapid classification method based on an RPD (resilient packet digital) drilling machine, which combines surrounding rock classification in a construction period with the RPD drilling machine to form a rapid classification method of tunnel surrounding rocks.
Example 5
As shown in fig. 10, the invention further provides a tunnel surrounding rock rapid classification system based on an RPD drilling machine, which comprises a propulsion index evaluation module, an RQD value evaluation module, a core sample quality evaluation module, a joint score evaluation module, a statistic module and a quality output module, wherein,
the propulsion index evaluation module is used for measuring the propulsion index of the RPD drilling machine in the collection process, calculating and outputting the propulsion index score according to a preset propulsion evaluation standard table, and sending the propulsion index score to the statistic module, wherein the propulsion index comprises a rock uniaxial compressive strength value and the drilling machine propulsion;
the RQD value evaluation module is used for carrying out segmentation length analysis on the core sample collected by the RPD drilling machine, calculating an RQD value of the core sample, evaluating the RQD value and a preset grading standard table of the RQD value to output an RQD value evaluation score and sending the RQD value evaluation score to the statistic module;
the core sample quality evaluation module is used for carrying out quality analysis on the core sample, evaluating according to a preset core quality standard, outputting a core sample quality score and sending the core sample quality score to the statistic module, wherein the quality analysis comprises segmentation degree analysis of the core sample and weathering degree analysis of the core sample;
the joint score evaluation module is used for receiving a plurality of drilling hole internal pictures obtained by shooting equipment installed on the RPD drilling machine, carrying out picture analysis on the obtained drilling hole internal pictures to obtain a joint distance value and a joint width value, simultaneously carrying out evaluation according to a preset joint evaluation standard table to output joint scores and sending the joint scores to the statistic module;
the statistical module is used for calculating the sum of the received scores and sending the sum to the quality output module;
and the quality output module is used for classifying the grades of the surrounding rocks to be excavated in the tunnel according to a preset standard index table of the RPD drilling machine.
The present invention is not limited to the above-mentioned preferred embodiments, and any other products in various forms can be obtained by anyone in the light of the present invention, but any changes in the shape or structure thereof, which have the same or similar technical solutions as those of the present application, fall within the protection scope of the present invention.
Claims (9)
1. A tunnel surrounding rock rapid classification method based on an RPD drilling machine is characterized by comprising the following steps:
s1, collecting core samples of tunnel surrounding rocks with various different levels of standards by using a crawler-type drilling machine, collecting pictures in a drill hole while collecting the core samples each time, sequentially and respectively carrying out uniaxial compressive strength value test, drilling machine thrust test, RQD value test, segmentation degree analysis and weathering degree analysis on the core samples, simultaneously carrying out joint condition index analysis on the pictures in the drill hole, generating evaluation parameters for evaluating rock levels, setting interval value classification on different evaluation parameters, and presetting score values on different interval value classifications, namely forming a preset thrust evaluation standard table, an RQD value score standard table, a core quality standard table and a joint evaluation standard table;
s2, using an RPD (resilient rocky soil) drilling machine to collect core samples of surrounding rocks to be excavated in the tunnel, simultaneously measuring a propulsive force index of the RPD drilling machine in the collection process, and calculating and outputting a propulsive force index score according to the propulsive force evaluation standard table preset in the step S1, wherein the propulsive force index comprises a rock uniaxial compressive strength value and a drilling machine propulsive force;
s3, carrying out segmentation length analysis on the core sample collected by the RPD drilling machine in the step S2, calculating an RQD value of the core sample, evaluating the RQD value and the RQD value scoring standard table preset in the step S1, and outputting an evaluation score of the RQD value, wherein the evaluation score of the RQD value is the percentage of the accumulated length of the core with the length of more than 5cm to the total length of the drilled hole;
s4, performing quality analysis on the core sample collected in the step S2, and evaluating according to the core quality standard table preset in the step S1 and simultaneously outputting a core sample quality score, wherein the quality analysis comprises segmentation degree analysis of the core sample and weathering degree analysis of the core sample;
s5, in the step S2, the RPD drilling machine obtains the core sample, meanwhile, a plurality of drilling hole internal pictures are obtained through shooting equipment installed on the RPD drilling machine, the obtained drilling hole internal pictures are subjected to picture analysis to obtain joint space values and joint width values, and meanwhile, evaluation is carried out according to the joint evaluation standard table preset in the step S1 to output joint scores;
and S6, counting the sum of the scores in the steps S2 to S5, and performing rapid grade classification on the surrounding rock to be excavated in the tunnel according to a standard index table of the RPD drilling machine preset by the system.
2. The RPD drill rig based tunnel surrounding rock rapid classification method as claimed in claim 1, wherein in step S2, the step of measuring the propulsion index of the RPD drill rig during the collection process and calculating and outputting the propulsion index score according to the preset propulsion evaluation criteria comprises the following steps:
s2-1, sequentially processing the core sample collected by the crawler-type drilling machine in the step S1 through a stone cutting machine, a stone grinding machine and a core drilling machine to form a standard test piece, and meanwhile, generating the propulsion force standard value of the crawler-type drilling machine;
s2-2, carrying out an indoor uniaxial compression test on the standard test piece to obtain uniaxial compression strength values of the core sample with different levels of standards, and corresponding the obtained propulsion standard value and the uniaxial compression strength value and giving an evaluation score to form a propulsion evaluation standard table;
and S2-3, corresponding the drilling machine propelling force of the core sample obtained by the RPD drilling machine and the corresponding rock uniaxial compressive strength value to the propelling force evaluation standard table, and outputting the propelling force index score.
3. The RPD drilling machine-based tunnel surrounding rock rapid classification method according to claim 1, wherein the specific method of the step S3 is as follows:
s3-1, carrying out segmentation length analysis on a plurality of core samples with different grades of standards obtained by a crawler-type drilling machine and the core samples collected by the RPD drilling machine, respectively calculating the quality fraction RQD values of the core samples obtained by the crawler-type drilling machine and the RPD drilling machine through the following formula,
s3-2, setting evaluation scores for the RQD values of the mass scores of the various core samples calculated by the crawler-type drilling machine to establish a rating standard table of the RQD values;
and S3-3, corresponding the core sample quality score RQD value calculated by the RPD drilling machine to a grading standard table of the RQD value and outputting the RQD value evaluation score.
4. The RPD drill-based tunnel surrounding rock rapid classification method of claim 3, wherein in step S3-2, the scoring criteria table includes evaluation scores corresponding to different RQD value ranges.
5. The RPD drilling machine-based tunnel surrounding rock rapid classification method according to claim 1, wherein in step S4, when the quality analysis is the segmentation degree analysis of the core sample, the core sample is subjected to quality analysis and evaluated according to a preset core quality standard while a core sample quality score is output, and the specific method is as follows:
I. performing shape analysis on the core sample collected in the step S1 and classifying the core sample according to a preset core quality standard, wherein the preset core quality standard includes a core classification list and a corresponding score list, the core classification list sequentially includes a rod-shaped single-section fracture length of more than 50cm, a rod-shaped single-section fracture length of 15-50cm, a rod-shaped single-section fracture length of 5-15cm, a short rod-shaped core less than 5cm, a disk-shaped core with residual edges and corners, a disk-shaped core with abraded edges, a sand-shaped structure and a clay-shaped structure from top to bottom, and the score list sequentially includes 10 minutes, 8.75 minutes, 7.5 minutes, 6.25 minutes, 5 minutes, 3.75 minutes, 2.5 minutes and 1.25 minutes from top to bottom;
II. And selecting corresponding scores according to the core quality standard and outputting core sample quality scores.
6. The RPD drilling machine-based tunnel surrounding rock rapid classification method according to claim 1, wherein in step S4, when the quality analysis is weathering degree analysis of the core sample, the core sample is subjected to quality analysis and evaluated according to a preset core quality standard while a core sample quality score is output, and the specific method is as follows:
carrying out multiple rebound tests on the core sample collected in the step S2 to obtain an average rebound value, and obtaining a characteristic rebound value X of the core sample according to the multiple average rebound values, wherein the calculation formula is as follows:
wherein X is the characteristic rebound value, and m is the time number;
grading the weathering degree of the core sample according to the characteristic resilience value X, and evaluating the weathering degree of the core sample corresponding to the core quality standard to output scores, wherein the core quality standard comprises a characteristic resilience value range list, a corresponding weathering grade list and a corresponding score list.
7. The RPD drill rig based tunnel surrounding rock rapid classification method as claimed in claim 1, wherein in step S5, the obtained picture of the inside of the borehole is subjected to picture analysis to obtain joint space and joint width, and evaluation is performed according to a preset joint evaluation standard table to output joint score, and the specific method is as follows:
s5-1, carrying out binarization processing on the obtained picture inside the drill hole to obtain a binary image, and removing noise and a background area with a small area;
and S5-2, marking and measuring the joint interval and the joint width in the binary image, and evaluating the measured joint interval value and the measured joint width value according to a preset joint evaluation standard table to output joint scores, wherein the joint evaluation standard table comprises evaluation scores corresponding to different joint interval value ranges and different joint width value ranges.
8. The RPD drill-based tunnel surrounding rock rapid classification method of claim 1, wherein in step S6, the standard index table of the RPD drill includes surrounding rock quality categories corresponding to different score ranges.
9. A tunnel surrounding rock rapid classification system based on an RPD (resilient packet direct) drilling machine is characterized by comprising a propulsion index evaluation module, an RQD value evaluation module, a core sample quality evaluation module, a joint score evaluation module, a statistics module and a grade output module, wherein the propulsion index evaluation module is used for measuring the propulsion index of the RPD drilling machine in the collection process, calculating and outputting the propulsion index score according to a preset propulsion evaluation standard table and sending the propulsion index score to the statistics module, and the propulsion index comprises a rock uniaxial compressive strength value and drilling machine propulsion;
the RQD value evaluation module is used for analyzing the segment length of the core sample collected by the RPD drilling machine, calculating the RQD value of the core sample, evaluating the RQD value and a preset grade standard table of the RQD value to output an RQD value evaluation score and sending the RQD value evaluation score to the statistic module;
the core sample quality evaluation module is used for carrying out quality analysis on the core sample, evaluating according to a preset core quality standard, outputting a core sample quality score and sending the core sample quality score to the statistic module, wherein the quality analysis comprises segmentation degree analysis of the core sample and weathering degree analysis of the core sample;
the joint score evaluation module is used for receiving a plurality of drilling hole internal pictures obtained by shooting equipment installed on the RPD drilling machine, carrying out picture analysis on the obtained drilling hole internal pictures to obtain a joint distance value and a joint width value, simultaneously carrying out evaluation according to a preset joint evaluation standard table to output joint scores and sending the joint scores to the statistic module;
the statistical module is used for calculating the sum of the received scores and sending the sum to the level output module;
and the grade output module is used for classifying the grade of the surrounding rock to be excavated in the tunnel according to a preset standard index table of the RPD drilling machine.
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| CN111798155B (en) * | 2020-07-13 | 2024-04-30 | 中电建路桥集团有限公司 | Surrounding rock quality evaluation and monitoring excavation management system for rock-like pile tunnel |
| CN113674264A (en) * | 2021-08-27 | 2021-11-19 | 浙江数智交院科技股份有限公司 | Support parameter determination method and device, electronic equipment and readable storage medium |
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