CN110619483A - Tunnel surrounding rock grade dynamic change and decision-making method based on multi-source data fusion analysis - Google Patents
Tunnel surrounding rock grade dynamic change and decision-making method based on multi-source data fusion analysis Download PDFInfo
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- 230000004927 fusion Effects 0.000 title claims abstract description 12
- 238000010276 construction Methods 0.000 claims abstract description 53
- 238000009412 basement excavation Methods 0.000 claims abstract description 17
- 230000004044 response Effects 0.000 claims abstract description 13
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- 230000002452 interceptive effect Effects 0.000 claims abstract description 6
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- XLYOFNOQVPJJNP-UHFFFAOYSA-N water Substances O XLYOFNOQVPJJNP-UHFFFAOYSA-N 0.000 claims abstract description 3
- 238000011156 evaluation Methods 0.000 claims description 16
- 238000006073 displacement reaction Methods 0.000 claims description 14
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Classifications
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- E—FIXED CONSTRUCTIONS
- E21—EARTH OR ROCK DRILLING; MINING
- E21D—SHAFTS; TUNNELS; GALLERIES; LARGE UNDERGROUND CHAMBERS
- E21D9/00—Tunnels or galleries, with or without linings; Methods or apparatus for making thereof; Layout of tunnels or galleries
- E21D9/14—Layout of tunnels or galleries; Constructional features of tunnels or galleries, not otherwise provided for, e.g. portals, day-light attenuation at tunnel openings
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- G—PHYSICS
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Abstract
The invention discloses a tunnel surrounding rock grade dynamic change and decision method based on multi-source data fusion analysis, which is characterized by comprising the following steps of: A. the prior distribution information and the field monitoring measurement data of the exposed surrounding rock of the excavated section are fully utilized to realize the response prediction of the deformation convergence value of the surrounding rock of the current tunnel face. B. Evaluating the quality of the on-site surrounding rock based on the geological information of the exposed rock mass of the current tunnel face, and synchronously determining the sub-grade classification of the surrounding rock; C. and (4) performing data interpretation on the advance geological forecast information of the mileage section of the current tunnel, and performing basic judgment on the stratum structure, the rock mass crushing degree, the underground water development condition and the like of the current tunnel. D. The predicted convergence deformation value is used as a pilot criterion, interactive coupling analysis of the stability condition of the surrounding rock in the axis direction of the tunnel can be performed, and a basis is provided for real-time dynamic regulation and control of the tunnel excavation construction method and the support parameters.
Description
Technical Field
The invention relates to a surrounding rock grade dynamic change and decision method in a tunnel construction process, in particular to a tunnel surrounding rock grade dynamic change and evaluation decision method based on multi-source data fusion analysis.
Background
At the beginning of the construction of the tunnel, a survey design unit carries out geological survey on a tunnel site area through drilling, geophysical prospecting and other means, all sections of the tunnel are divided into different surrounding rock grades, and corresponding excavation construction methods and support parameters are designed for the sections with different surrounding rock grades. However, due to limited conditions, initial exploration cannot provide a completely detailed understanding of the entire geology of the tunnel site. The construction unit is usually required to dynamically adjust the surrounding rock geological conditions of the exposed tunnel face by observing and disclosing the tunnel face in the tunnel excavation process, and different evaluation grades are usually obtained by applying the same evaluation system and classification standards due to the uncertainty of rock-soil body parameters and the discreteness and randomness of various qualitative and quantitative evaluation indexes caused by instrument errors, manual operation and the like in the acquisition process. The real problem that the construction unit faces is: if the exposed surrounding rock is inferior to the surrounding rock of initial exploration, whether construction should be suspended or not is directly changed according to the evaluation grade of the exposed surrounding rock, and if not, a certain deformation safety margin can be provided by the current excavation construction method and support scheme, so that the exposed surrounding rock continuously meets the requirement of the stability of the surrounding rock.
In addition, the quality of the exposed rock mass on the tunnel face is often between two levels of surrounding rocks in tunnel excavation engineering, for example, excavation and support of three types of partial four surrounding rocks and three types of partial two surrounding rocks are greatly different, the construction requirements can be met only by adjusting the grade of the surrounding rocks by half, however, the stability of the surrounding rocks cannot be reasonably judged and estimated by the grade of the surrounding rocks, and the surrounding rocks have to be processed by one higher level, so that great waste is caused. If the footage is slowed down, the deformation convergence value is obtained through continuous measurement to evaluate the stability condition of the surrounding rock, the construction progress is seriously influenced, and the construction cannot be guided in time. The actual situation is that the owner and the designer are not well supervised, and no relevant background is provided for the construction unit to actively carry out dynamic design, so long as the construction unit does not raise a big problem, various information in the construction process can not be actively collected generally; and the construction unit is difficult to make scientific and reasonable decisions due to the lack of theoretical technology.
Disclosure of Invention
The invention aims to overcome the defects of the prior art, and provides a tunnel surrounding rock grade dynamic change and decision method based on multi-source data fusion analysis.
In order to achieve the purpose, the invention adopts the following technical scheme:
the invention relates to a tunnel surrounding rock grade dynamic change and decision method based on multi-source data fusion analysis, which fully utilizes the prior distribution information of the surrounding rock exposed at an excavated section to realize the response prediction of the deformation convergence value of the surrounding rock at the current tunnel face, takes the response prediction as the leading criterion of whether the tunnel construction method is changed or not, synthesizes multi-source heterogeneous information such as advanced geological forecast interpretation data, field surrounding rock sub-grade classification results, initial exploration data and the like, carries out interactive analysis prediction on the stability condition of the surrounding rock in the axial direction of the tunnel, further constructs a dynamic evaluation decision and construction permission mechanism of the tunnel change, and realizes the dynamic regulation and control of the tunnel excavation method and support parameters.
The surrounding rock grade change evaluation and decision method is based on multi-source data fusion analysis.
A tunnel surrounding rock grade dynamic change and decision method based on multi-source data fusion analysis is characterized by comprising the following steps:
A. in the same design surrounding rock grade zone, the mapping relation between the prior distribution information and the measurement displacement of the exposed surrounding rock at the excavated section is constructed based on a certain response model, the convergence value is determined without continuous observation in the period, and the final deformation convergence value is directly subjected to response prediction by acquiring the current face surrounding rock geological information. Taking the relative convergence value of the allowable tunnel periphery level as a judgment basis (the limit displacement value can be determined according to the actual tunnel site situation and combined with the standard on the basis of statistical analysis, and the relative mutation and jump value are taken as instability criteria, or the judgment criteria are set according to the displacement management level and the displacement rate in the highway tunnel construction technical rules), and judging whether the surrounding rock deformation is reasonable or not;
B. evaluating the quality of the on-site surrounding rock based on the geological information of the exposed rock mass of the current tunnel face, and synchronously determining the sub-grade classification of the surrounding rock; carrying out noise removal, filtering and other series of data processing on advanced geological forecast (such as TRT, TSP and the like) information of a current mileage section to obtain an elastic wave speed mean value of a corresponding section and a relative change trend of interpretation information (such as elastic modulus, Poisson ratio and the like) of the section, and carrying out basic judgment on a stratum structure, rock mass crushing degree, fracture development degree, fault crushing zone or underground water and the like of the section;
C. the prediction convergence deformation value is taken as a leading criterion, the sub-level grading evaluation of the surrounding rock and the advanced geological prediction interpretation information are taken as auxiliary and verification bases, the interactive coupling analysis of the stability condition of the three-in-one surrounding rock is realized, and the direct decision on whether the surrounding rock is stable or not is made;
D. and if the surrounding rock is evaluated to be unstable, the decision result is the suggested change, and the result is fed back to a construction and supervision unit in real time to report the change requirement. By combining actual working conditions on site, through expert demonstration, approval of design units and owners, the excavation construction method, support parameters or construction procedures and the like are changed in time (engineering cost and construction progress are fully considered, optimization of a support scheme can be carried out preferentially), subsequent monitoring and measurement of the changed section are enhanced, and deformation conditions of the changed surrounding rock are mastered in real time (construction progress does not need to be slowed down in the period);
E. if the surrounding rock is evaluated to be stable, the predicted relative convergence value is compared with the allowable tunnel peripheral level relative convergence value for analysis, and if the safety margin is large (refer to the displacement management grade and displacement rate judgment standard in the detail rule of highway tunnel construction technology), that is, the deformation convergence value does not reach the limit displacement value, which indicates that the supporting scheme is relatively conservative under the current excavation working method. Comprehensive sub-grade evaluation of the surrounding rock and interpretation of advanced geological forecast information are fed back to relevant units, and corresponding adjustment is carried out on support parameters, construction procedures and even excavation methods through expert demonstration and approval in combination with actual conditions on site; if the safety margin is relatively small, the current excavation mode, supporting scheme, construction technology and management level can meet the stability requirement, the design construction scheme is safe, economical and reasonable, no change is needed, and the construction can be continued.
The response models in the invention are all modeled by the existing mathematical prediction model or computer method, and are not described herein again.
It should be noted that the response model used herein is not a single method, and includes machine learning algorithms such as artificial neural networks, Support Vector Machines (SVMs), etc., and also includes mathematical methods such as gray theory, least squares, vector projection sampling points, etc.
It should be noted that the above description is intended to provide further explanation of the present application. Unless defined otherwise, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this application belongs.
The method fully utilizes the prior distribution information of the exposed surrounding rock of the excavated section to realize the response prediction of the deformation convergence value of the surrounding rock of the current tunnel face, takes the response prediction as the leading criterion for judging whether the tunnel construction method is changed or not, synthesizes multi-source heterogeneous information such as advanced geological forecast interpretation data, field surrounding rock sub-grade classification results, initial exploration data and the like, carries out interactive analysis prediction on the stability condition of the surrounding rock in the axial direction of the tunnel, and further constructs a dynamic evaluation decision and construction permission mechanism for tunnel change.
Compared with the prior research, the method integrates the multisource heterogeneous information such as the surrounding rock deformation convergence predicted value, the advanced geological forecast interpretation data, the field surrounding rock sub-level grading evaluation and the like, and realizes the dynamic evaluation decision and construction permission mechanism of the surrounding rock grade change in the tunnel construction process.
The invention solves the dynamic evaluation and decision of the grade change of the surrounding rock in the tunnel construction process, and has the following advantages:
1. under the condition that a construction unit has no relevant design and bottom crossing, reasonable dynamic evaluation and construction decision can be made on the change of the surrounding rock grade based on the method by actively collecting various types of disclosure and measurement information in the construction process, so that the condition that the surrounding rock stability, the excavation construction method and the support parameters are judged and decided by depending on basic data and experience excessively or depending on the surrounding rock grade on site is avoided;
2. according to the dynamic evaluation and decision-making method for the grade change of the surrounding rock, under the condition that the actual quality of the rock mass is better (higher) than the designed surrounding rock grade, the supporting scheme is prevented from being processed at the first-level higher, the economic cost is saved, and the condition that the construction period is delayed due to the change is reduced; under the condition that the actual rock mass is lower than the designed surrounding rock grade, the surrounding rock grade is changed in real time, the construction risk is avoided, and the personal safety of constructors is guaranteed.
FIG. 1 is a schematic diagram of the assessment and decision making of the method of the present invention.
Claims (3)
1. The invention relates to a tunnel surrounding rock grade dynamic change and decision method based on multi-source data fusion analysis, which fully utilizes the prior distribution information of the surrounding rock exposed at an excavated section to realize the response prediction of the deformation convergence value of the surrounding rock at the current tunnel face, takes the response prediction as the leading criterion of whether the tunnel construction method is changed or not, synthesizes multi-source heterogeneous information such as advanced geological forecast interpretation data, field surrounding rock sub-grade classification results, initial exploration data and the like, carries out interactive analysis prediction on the stable state of the surrounding rock in the axial direction of the tunnel, further constructs a dynamic evaluation decision and construction permission mechanism of the tunnel change, and realizes the dynamic regulation and control of the tunnel excavation method and support parameters.
2. The dynamic tunnel surrounding rock grade changing and deciding method based on multi-source data fusion analysis according to claim 1, characterized by comprising the following steps: the assessment and decision method is based on multi-source data fusion analysis.
3. A tunnel surrounding rock grade dynamic change and decision method based on multi-source data fusion analysis is characterized by comprising the following steps:
A. in the same design surrounding rock grade zone, the mapping relation between the prior distribution information and the measurement displacement of the exposed surrounding rock of the excavated section is constructed on the basis of a certain response model, the convergence value is determined without continuous observation in the period, and the final deformation convergence value is directly subjected to response prediction by acquiring the current face surrounding rock geological information; taking the relative convergence value of the allowable tunnel periphery level as a judgment basis (the limit displacement value can be determined according to the actual tunnel site situation and combined with the standard on the basis of statistical analysis, and the relative mutation and jump value are taken as instability criteria, or the judgment criteria are set according to the displacement management level and the displacement rate in the highway tunnel construction technical rules), and judging whether the surrounding rock deformation is reasonable or not;
B. evaluating the quality of the on-site surrounding rock based on the geological information of the exposed rock mass of the current tunnel face, and synchronously determining the sub-grade classification of the surrounding rock; carrying out noise removal, filtering and other series of data processing on advanced geological forecast (such as TRT, TSP and the like) information of a current mileage section to obtain an elastic wave speed mean value of a corresponding section and a relative change trend of interpretation information (such as elastic modulus, Poisson ratio and the like) of the section, and carrying out basic judgment on a stratum structure, rock mass crushing degree, fracture development degree, fault crushing zone or underground water and the like of the section;
C. the prediction convergence deformation value is taken as a pilot criterion, and the sub-grade classification and advanced geological prediction interpretation information of the surrounding rock are taken as auxiliary and verification bases, so that interactive coupling analysis of the stability condition of the three-in-one surrounding rock is realized, and direct decision is made on whether the three-in-one surrounding rock is stable or not;
D. if the surrounding rock assessment is unstable, the decision result is a suggested change, the result is fed back to a construction unit and a supervision unit in real time, and the change requirement is reported; by combining actual working conditions on site, through expert demonstration, approval of design units and owners, the excavation construction method, support parameters or construction procedures and the like are changed in time (the construction cost and the construction progress are fully considered, and support scheme optimization can be preferentially carried out), the subsequent monitoring and measurement of the changed section are enhanced, and the deformation condition of the changed surrounding rock is mastered in real time (the construction progress does not need to be slowed down in the period);
E. if the surrounding rock is evaluated to be stable, the predicted relative convergence value of the surrounding rock is compared with the allowable tunnel peripheral level relative convergence value for analysis, if the safety margin is large (refer to the judgment standard of displacement management grade and displacement rate in the fine road tunnel construction technology), namely the deformation convergence value does not reach the limit displacement value, which indicates that the supporting scheme is relatively conservative under the current excavation working method; comprehensive sub-grade evaluation of the surrounding rock and interpretation of advanced geological forecast information are fed back to relevant units, and corresponding adjustment is carried out on support parameters, construction procedures and even excavation methods through expert demonstration and approval in combination with actual conditions on site; if the safety margin is relatively small, the current excavation mode, supporting scheme, construction technology and management level can meet the stability requirement, the design construction scheme is safe, economical and reasonable, no change is needed, and the construction can be continued.
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Cited By (7)
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| CN112434914A (en) * | 2020-11-06 | 2021-03-02 | 东南大学 | Tunnel surrounding rock multi-source information fusion method based on risk decision |
| CN112664174A (en) * | 2020-12-21 | 2021-04-16 | 中铁四局集团第五工程有限公司 | Tunnel surrounding rock grade determination method and system based on multiple drill holes |
| CN114240262A (en) * | 2022-02-24 | 2022-03-25 | 加华地学(武汉)数字技术有限公司 | Method and system for realizing quality grading of various surrounding rocks based on set of single index data |
| CN114278313A (en) * | 2021-12-31 | 2022-04-05 | 北京住总集团有限责任公司 | Supporting system based on interval different excavation construction method conversion and construction method |
| CN115829121A (en) * | 2022-11-30 | 2023-03-21 | 河海大学 | Method and system for predicting stability of deep-buried tunnel |
| CN116359013A (en) * | 2023-03-31 | 2023-06-30 | 长江水利委员会长江科学院 | Tunnel surrounding rock mechanical parameter value-taking method based on multi-data source analysis |
| CN117077027A (en) * | 2023-07-24 | 2023-11-17 | 西南交通大学 | Surrounding rock sub-level grading method and device based on intelligent grading model grading probability |
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Cited By (10)
| Publication number | Priority date | Publication date | Assignee | Title |
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| CN112434914A (en) * | 2020-11-06 | 2021-03-02 | 东南大学 | Tunnel surrounding rock multi-source information fusion method based on risk decision |
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| CN114278313A (en) * | 2021-12-31 | 2022-04-05 | 北京住总集团有限责任公司 | Supporting system based on interval different excavation construction method conversion and construction method |
| CN114240262A (en) * | 2022-02-24 | 2022-03-25 | 加华地学(武汉)数字技术有限公司 | Method and system for realizing quality grading of various surrounding rocks based on set of single index data |
| CN115829121A (en) * | 2022-11-30 | 2023-03-21 | 河海大学 | Method and system for predicting stability of deep-buried tunnel |
| CN115829121B (en) * | 2022-11-30 | 2023-09-19 | 河海大学 | Method and system for predicting stability of deep-buried tunnel |
| CN116359013A (en) * | 2023-03-31 | 2023-06-30 | 长江水利委员会长江科学院 | Tunnel surrounding rock mechanical parameter value-taking method based on multi-data source analysis |
| CN117077027A (en) * | 2023-07-24 | 2023-11-17 | 西南交通大学 | Surrounding rock sub-level grading method and device based on intelligent grading model grading probability |
| CN117077027B (en) * | 2023-07-24 | 2024-03-15 | 西南交通大学 | Surrounding rock sub-level grading method and device based on intelligent grading model grading probability |
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Effective date of registration: 20200812 Address after: 266590 No. 579, Bay Road, Huangdao District, Shandong, Qingdao Applicant after: Shandong University of Science and Technology Applicant after: Sichuan Jingyu Biotechnology Co., Ltd Address before: 266590 No. 579, Bay Road, Huangdao District, Shandong, Qingdao Applicant before: Shandong University of Science and Technology |
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| RJ01 | Rejection of invention patent application after publication | ||
| RJ01 | Rejection of invention patent application after publication |
Application publication date: 20191227 |