CN102736124A - Tunnel excavation surrounding rock dynamic refined classification method based on integrated parameters - Google Patents
Tunnel excavation surrounding rock dynamic refined classification method based on integrated parameters Download PDFInfo
- Publication number
- CN102736124A CN102736124A CN2012101951630A CN201210195163A CN102736124A CN 102736124 A CN102736124 A CN 102736124A CN 2012101951630 A CN2012101951630 A CN 2012101951630A CN 201210195163 A CN201210195163 A CN 201210195163A CN 102736124 A CN102736124 A CN 102736124A
- Authority
- CN
- China
- Prior art keywords
- country rock
- face
- classification
- tunnel
- data
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Granted
Links
Images
Landscapes
- Geophysics And Detection Of Objects (AREA)
Abstract
The invention discloses a tunnel excavation surrounding rock dynamic refined classification method based on integrated parameters. The method comprises the following steps of: analyzing tunnel prospective design data, preliminarily judging classification of tunnel surrounding rocks, performing integrated parameter advance geological forecasting exploration on excavation tunnel face surrounding rocks, and correcting classification of a tunnel face and front surrounding rocks according to a forecasting result; performing geological recording observation on tunnel face excavation surrounding rocks, performing elastic wave velocity testing, and further correcting classification of the surrounding rocks of the tunnel face according to observation data and elastic wave velocity testing data; and performing monitoring measurement according to each construction step, and correcting the obtained classification of the surrounding rocks of the tunnel face according to monitoring measurement data to finish a cycle of surrounding rock refined classification. The method has the advantages that on the basis of analyzing the prospective design data and determining classification of the surrounding rocks, tunnel surrounding rocks in a construction stage are subjected to dynamic integrated refined classification by integrated operation of integrated parameter advance geological forecasting, tunnel face surrounding rock integrated exploration and field monitoring data analysis, so the classification of the surrounding rocks is refined and accurate.
Description
Technical field
The present invention relates in a kind of constructing tunnel process based on dynamic refinement stage division of the tunnel excavation country rock of comprehensive parameters and device thereof.
Background technology
China's tunnel construction had got into a peak period in recent years; Greatly developing of Tunnel Engineering; For the development of tunnel construction technology provides condition, at present in the constructing tunnel stage, country rock refinement classification is the common important topic of paying close attention to of designer, workmen and scientific research personnel.Generally speaking, complete country rock hierarchy system should comprise design phase country rock classification and construction stage country rock classification two parts content.
Also lack effective, a perfect construction stage country rock refinement staging hierarchy in the classification of tunnel surroun ding rock at present; Cause the country rock classification accurate inadequately; Both might occur country rock refinement classification in the work progress and judge and to be lower than actual country rock rank and the surrounding rock supporting insufficient strength to occur and cause construction accident to take place, and country rock refinement classification also might occur and judge and be higher than actual country rock rank situation and the excessive wasting situation of surrounding rock supporting intensity occurs.
Therefore need a kind of country rock refinement stage division in the constructing tunnel process badly, promptly in work progress to again country rock being carried out the refinement classification on the basis of design phase country rock classification, improve the accuracy rate of country rock classification.
Summary of the invention
The objective of the invention is to overcome existing tunnel country rock stage division degree of refinement not enough and can not be effectively for the technical matters of constructing tunnel service provides a kind of tunnel excavation country rock based on comprehensive parameters dynamic refinement stage division, be intended to solve because country rock refinement in the constructing tunnel process divides waste of the stage construction supporting that not enough problem causes and supporting deficiency to cause the problem of construction accident.
For realizing above-mentioned purpose, the technical scheme that the present invention adopts is following:
The dynamic refinement stage division of a kind of tunnel excavation country rock based on comprehensive parameters may further comprise the steps:
1), analyze tunnel inspection of the scene of a crime design data, tentatively judge the classification of tunnel tunnel face country rock;
2), utilize USEP21 underground engineering construction advance geologic prediction system that said face country rock is carried out the comprehensive parameters advance geologic prediction to survey, and according to the country rock classification of the said face that obtains in the forecast detection data correction step 1) that obtains;
3), said face country rock is carried out geology observe and carry out the longitudinal elastic wave wave velocity testing, according to the observed data and the longitudinal elastic wave wave velocity testing data correction step 2 that obtain) in the country rock classification of the said face that obtains;
4), the parameters in the work progress is carried out monitoring measurement, and according to the country rock classification of the said face that obtains in the monitoring measurement data correction step 3) of obtaining.
The USEP21 of utilization underground engineering construction advance geologic prediction according to the invention system carries out the comprehensive parameters advance geologic prediction to said face country rock and surveys; And the step of the country rock classification of the said face that obtains in the forecast detection data correction step 1) according to acquisition, specifically comprise:
Utilize seismic event that said face country rock is grown apart from the comprehensive parameters advance geologic prediction and survey, apart from the geologic prediction detection data, judge the country rock classification of the place ahead, said tunnel face according to the length that obtains;
Utilizing electromagnetic wave that said face country rock is carried out short distance comprehensive parameters advance geologic prediction in the work progress surveys;
When running into the special location of significant points, carry out indoor checking and borehole test means through boring and coring and face country rock geological condition is estimated and revised quantize the classification of said face country rock.
Long distance of the present invention is meant that greater than 100 meters, described short distance is meant less than 30 meters.
The present invention carries out geology to said face country rock and observes and carry out the longitudinal elastic wave wave velocity testing, according to the observed data and the longitudinal elastic wave wave velocity testing data correction step 2 that obtain) in the step of the said face country rock classification that obtains specifically comprise:
Said face country rock is carried out geology to be observed; According to observation situation utilization geological record method good working condition, underground water and the initial stress state of said face rock mass are analyzed; In case of necessity the rock rock mass is carried out mechanical test, contrast tunnel related specifications is judged the country rock classification of said face;
Test the longitudinal elastic wave velocity of wave of said face country rock, try to achieve the average elasticity longitudinal wave velocity of said face country rock,, confirm the country rock classification of said face with reference to the corresponding relation of classification of tunnel surroun ding rock and longitudinal elastic wave velocity of wave;
If during near the country rock classification basically identical the said face that above-mentioned two kinds of methods are judged, finish this step, otherwise the image data sample is tested and according to the classification of the said face country rock of test result correction.
The real scope that said face country rock geology is observed of the present invention comprises spacing, state and the form in face state, face catamorphism situation, face crack, underground water burst situation.
The average elasticity longitudinal wave velocity that the present invention calculates said face country rock adopts following mode:
Focal point is fixed on said face; Through moving the position change measuring distance of receiving sensor; Perhaps receiving sensor is fixed on described face, changes measuring distance through moving focal point, mode of excitation adopts hammering iron plate focus; Test the longitudinal elastic wave velocity of wave at said face country rock multiple spot place, and calculate the average elasticity longitudinal wave velocity of said face country rock.
Monitoring measurement data of the present invention comprise tunnel vault sedimentation value, peripheral convergency value, pressure from surrounding rock value, reinforcement stresses value and just prop up the crack and have or not.
The dynamic refinement hierarchy system of a kind of tunnel excavation country rock based on comprehensive parameters comprises forecast system, monitoring and acquisition system, measuring system and computing machine;
Said forecast system is a USEP21 underground engineering construction advance geologic prediction system, is used for that the face country rock is carried out the comprehensive parameters advance geologic prediction and surveys, and according to the country rock classification of the forecast detection data correction face that obtains;
Said forecast system comprises USP underground engineering construction advance geologic prediction device and UEP underground engineering construction advance geologic prediction device; Said USP underground engineering construction advance geologic prediction device is used for surveying through utilizing seismic event that said face country rock is grown apart from the comprehensive parameters advance geologic prediction, and the length of acquisition is apart from the geologic prediction detection data; Said UEP underground engineering construction advance geologic prediction device is used for surveying through utilizing electromagnetic wave that said face country rock is carried out short distance comprehensive parameters advance geologic prediction, obtains short distance geologic prediction detection data;
Said USP underground engineering construction advance geologic prediction device also comprises: initiator, multi-component seismic ripple space receiving trap, multi-channel synchronous signal picker; Said initiator is used to cause station, said face country rock spot; Said multi-component seismic ripple space receiving trap is used to receive the seismic event that is produced by said initiator initiation earthquake; Said multi-channel synchronous signal picker is used to gather the vibration and the fluctuating signal of the face country rock that causes because of earthquake;
Said UEP underground engineering construction advance geologic prediction device also comprises: electromagnetic wave transmitter, electromagnetic wave receiver and multi-channel synchronous signal picker; Said electromagnetic wave transmitter is used at said face country rock launching electromagnetic wave; Said electromagnetic wave receiver is used to be received from the electromagnetic wave that described face country rock returns, and said multi-channel synchronous signal picker is used for the feedback signal of synchronous acquisition from said face country rock;
Said monitoring system comprises spirit-leveling instrument, convergence gauge, pressure cell, reinforcing bar meter and gap observation appearance; Said spirit-leveling instrument is used to measure tunnel vault sedimentation value; Convergence gauge is used to obtain peripheral convergency value; Pressure cell is used to obtain the pressure from surrounding rock value that is embedded between the country rock steel bow member, and said reinforcing bar meter is used for obtaining the reinforcement stresses value through measurement, and said gap observation appearance is used to obtain a crack value just;
Said measuring system comprises face country rock compressional wave receiver and longitudinal elastic wave wave velocity testing appearance, is used to obtain the longitudinal elastic wave velocity of wave of said face country rock;
The inside of said computing machine mainly comprises data processing module, data memory module and data disaply moudle, and said data disaply moudle is used to connect display, shows the country rock hierarchy of face; Said data memory module is used to store Monitoring Data, acquired signal, long and short apart from the geologic prediction detection data; Said data processing module is used for the data of processing memory storage.
The present invention is through on the basis of the definite country rock classification of prospective design analysis; Integrated use comprehensive parameters advance geologic prediction, face country rock comprehensive survey and field monitoring data analysis are carried out comprehensive refinement classification to the tunnel surrounding that encloses of construction stage again, thereby make country rock classification refinement more, accurate.
Description of drawings
Fig. 1 is the process flow diagram based on the dynamic refinement stage division of tunnel excavation country rock of comprehensive parameters that the embodiment of the invention provides.
Fig. 2 be the embodiment of the invention provide the face country rock is carried out the process flow diagram that the comprehensive parameters advance geologic prediction is surveyed classification.
Fig. 3 is the process flow diagram to observation of face country rock geology and the classification of longitudinal elastic wave wave velocity testing that the embodiment of the invention provides.
Fig. 4 is the dynamic refinement stage division of the country rock process flow diagram that the embodiment of the invention provides.
Fig. 5 be the embodiment of the invention provide based on prospective design analysis method country rock stage division process flow diagram.
Fig. 6 is the advance geologic prediction method country rock stage division process flow diagram based on comprehensive parameters that the embodiment of the invention provides.
Fig. 7 be the embodiment of the invention provide based on face country rock comprehensive survey method country rock stage division process flow diagram.
Fig. 8 be the embodiment of the invention provide based on field monitoring data analysis method country rock stage division process flow diagram.
Fig. 9 is the synoptic diagram based on the dynamic refinement hierarchy system of the tunnel excavation country rock block diagram of comprehensive parameters that the embodiment of the invention provides.
Embodiment
In order to make the object of the invention, technical scheme and advantage clearer,, the present invention is further elaborated below in conjunction with accompanying drawing.
Referring to shown in Figure 1, the dynamic refinement stage division of a kind of tunnel excavation country rock based on comprehensive parameters may further comprise the steps:
S101: analyze tunnel inspection of the scene of a crime design data, tentatively judge the classification of tunnel tunnel face country rock;
Carry out the dynamic refinement classification of country rock in the constructing tunnel process; At first to collect the construction tunnel surveying design data in early stage; Country rock rank to current face and front of tunnel heading has understanding substantially; Prospective design analysis method be the scene is surveyed, monitoring means is obtained the method for the prospecting data being investigated and analysed before the data, is the basis and the prerequisite of country rock refinement classification, is the means the most easily that obtain in-situ data.Therefore; Before the tunnel is carried out construction stage country rock refinement classification; Elder generation collects the prospecting data in tunnel and it is analyzed; Information such as the residing environment in tunnel location district, topography and geomorphology, lithological change, tomography distribution and the variation of country rock rank are analyzed; The prospecting data is the rough description of the tunnel being passed through district's topography and geomorphology; Therefrom can understanding substantially be arranged to the stratum in tunnel location district and the distribution situation of lithology, tectonic structure, hydrogeological condition and unfavorable geology and special rock soil; Can obtain the rate of decay situation of physical-mechanical properties of rock and rock mass through shop experiment, and obtain the gross index that the face of land to tunnel passes through geological state, integrated degree and the country rock of the following country rock in district, and tentatively judge the country rock grade thus according to in-situ test, indoor rock test data and geological mapping and physical prospecting achievement in probing, field observation, the hole.
Directly to obtain country rock classification situation be the direct method that obtains the preliminary classification of country rock through analyzing the prospective design data; The workmen constructs according to the country rock classification situation in the prospective design data; But because the sampling rate of phase of exploration is lower; The country rock classification of the part section of judging thus may not be inconsistent with actual country rock situation; This just requires in work progress, adopts several different methods that the country rock classification situation that phase of exploration carries out is carried out refinement classification or correction, to ensure safety for tunnel engineering; Therefore, the present invention adopts the described method of following steps S102 further to analyze and confirms the classification of face country rock after tentatively judging the classification of tunnel tunnel face country rock through analysis tunnel inspection of the scene of a crime design data.
S102: utilize USEP21 underground engineering construction advance geologic prediction system, said face country rock is carried out the comprehensive parameters advance geologic prediction survey, and the country rock classification of the said face that obtains among the forecast detection data correction step S101 according to acquisition;
The country rock classification of carrying out of carrying out that the comprehensive parameters advance geologic prediction surveys utilizes USEP21 underground engineering construction advance geologic prediction system to survey that thereby the face geological condition carries out the country rock classification to face in built tunnel the place ahead.After the prospective design analysis; Situation such as the topography and geomorphology in classification of tunnel tunnel face front country rock and tunnel location district, formation lithology, tectonic structure are had to a certain degree understand; On this basis the tunnel tunnel face front geological condition is carried out the comprehensive parameters forecast and survey, can further grasp face country rock rank situation.
Referring to shown in Figure 2 the face country rock is carried out the process flow diagram that the comprehensive parameters advance geologic prediction is surveyed classification.The described USEP21 of utilization underground engineering construction advance geologic prediction system carries out the comprehensive parameters advance geologic prediction to said face country rock and surveys; And the step of the country rock classification of the said face that obtains among the forecast detection data correction step S101 according to acquisition, specifically comprise:
S201: utilize seismic event that said face country rock is grown apart from the comprehensive parameters advance geologic prediction and survey, apart from the geologic prediction detection data, judge the country rock classification of the place ahead, said tunnel face according to the length that obtains;
Growing apart from the detection of comprehensive parameters advance geologic prediction to said face country rock mainly is to utilize the velocity of wave of seismic event that architectonic sensitivity is tested; Through test and according to test result preliminary judgement is made in construction the place ahead country rock classification, the country rock classification in prospective design stage is revised;
When using; Can near said face country rock, detonate through initiator and cause said face country rock generation earthquake; Receive by said initiator through multi-component seismic ripple space receiving trap then and cause the seismic event that earthquake produces; And the integrated signal of the vibration of the face country rock that causes because of earthquake through multi-channel synchronous signal picker synchronous acquisition and fluctuating signal etc.; Then through USEP21 underground engineering construction advance geologic prediction system, utilize the earthquake that receives to involve described vibration and fluctuating signal and described face country rock is grown apart from the comprehensive parameters advance geologic prediction surveyed.
S202: survey utilizing electromagnetic wave that said face country rock is carried out short distance comprehensive parameters advance geologic prediction in the work progress, the short distance geologic prediction detection data that utilization obtains checks said length apart from the geologic prediction detection data; Short distance comprehensive parameters advance geologic prediction detection accuracy is high, can further make more accurate judgement to front of tunnel heading country rock data, thereby further revise the country rock classification;
Concrete grammar is; Near said face country rock, carry out electromagnetic emission through electromagnetic wave transmitter; Be received from the electromagnetic wave that described face country rock returns through electromagnetic wave receiver; Simultaneously through the various signals of multi-channel synchronous signal picker synchronous acquisition from described face country rock feedback; System involves various feedback signals according to the electromagnetism that returns that is received through USEP21 underground engineering construction advance geologic prediction, described face country rock is carried out short distance comprehensive parameters advance geologic prediction survey.
S203: adopt boring checking and gaging hole evaluation correction to quantize the country rock classification when running into significant points or special bottom;
S204: carry out next step country rock refinement classification.
Described boring checking and gaging hole means comprise single hole method or cross hole method gaging hole.
Among the present invention, described long distance is meant that greater than 100 meters, described short distance is meant less than 30 meters.
Growing apart from advance geologic prediction utilizes seismic event that architectonic susceptibility principle is carried out; Through long apart from advance geologic prediction construction the place ahead country rock hydrogeology situation of change is made preliminary judgement after; With forecast geological condition and face geological condition relatively, infer front of tunnel heading country rock rank situation of change from face country rock rank; Utilize then electromagnetic wave to the susceptibility principle of water to face before 30m country rock data carry out high precision short distance forecast, thereby the classification of refinement country rock; Running into significant points or special location must carry out boring and coring and carry out indoor checking, single hole method or cross hole method gaging hole and revise and quantize the country rock classification.
S103: said face country rock is carried out the geology observation and carries out the longitudinal elastic wave wave velocity testing, according to the country rock classification of the said face that obtains among observed data that obtains and the longitudinal elastic wave wave velocity testing data correction step S102;
Although the described comprehensive parameters advance geologic prediction of step S102 probe method can be with the further refinement of country rock classification; But because the advance geologic prediction investigative range is bigger; Country rock situation interpretation precision for the thin portion in tunnel is lower, can occur aspect the country rock refinement classification and the differentiated situation of actual country rock situation; In the constructing tunnel process; Even in order at early stage prospecting and advance geologic prediction stage country rock; Also might in the explosion in later stage or digging process, destroy original geologic structure, the country rock rank is raise, so the country rock classification of working-yard can be to the directive function of having constructed.
It is the effective ways that directly obtain face country rock situation at the construction field (site) that the face country rock is carried out comprehensive survey, compares the country rock wave velocity testing in tunnel surveying stage, and face longitudinal elastic wave wave velocity testing is more near actual country rock situation.
In the embodiment of the invention, referring to the process flow diagram to observation of face country rock geology and the classification of longitudinal elastic wave wave velocity testing shown in Figure 3.Said face country rock is carried out geology observes and carry out the longitudinal elastic wave wave velocity testing, specifically comprise according to the step of the said face country rock classification that obtains among observed data that obtains and the longitudinal elastic wave wave velocity testing data correction step S102:
S301: said face country rock is carried out geology observe; According to observation situation utilization geological record method good working condition, underground water and the initial stress state of said face rock mass are analyzed; In case of necessity the rock rock mass is carried out mechanical test, contrast tunnel related specifications is judged the country rock classification of said face;
S302: test the longitudinal elastic wave velocity of wave of said face country rock, try to achieve the average elasticity longitudinal wave velocity of said face country rock,, confirm the country rock classification of said face with reference to the corresponding relation of classification of tunnel surroun ding rock and longitudinal elastic wave velocity of wave;
S303:, otherwise get into next step if get into step S104 during near the country rock classification basically identical the said face that above-mentioned two kinds of methods are judged;
S304: the image data sample is tested and according to the classification of the said face country rock of test result correction.
Among the present invention, the scope of said face country rock geology observation is comprised the situation such as influence of face state, face catamorphism situation, spacing, state and the form in face crack, underground water burst, water.
Among the present invention, the average elasticity longitudinal wave velocity that calculates said face country rock adopts following mode:
Focal point is fixed on said face; Through moving the position change measuring distance of receiving sensor; Perhaps receiving sensor is fixed on described face, changes measuring distance through moving focal point, mode of excitation adopts hammering iron plate focus; Test the longitudinal elastic wave velocity of wave of many places, said face country rock multiple spot place, and calculate the average elasticity longitudinal wave velocity of said face country rock.
Carry out wave velocity testing at face, higher to the country rock situation interpretation precision of the thin portion in tunnel, behind explosion or excavation, carry out velocity of wave at every turn and survey; Can in time capture the situation of change of country rock again; In the wave velocity testing process, adopt the mode of hammering iron plate focus to excite, through fixing focal point move the position of receiving sensor or fixedly receiving sensor move focal point and change measuring distance; Thereby progressively test the longitudinal elastic wave velocity of wave at face multiple spot place; Ask the final longitudinal elastic wave velocity of wave of its mean value, and, confirm the country rock rank of face with reference to longitudinal elastic wave velocity of wave and classification of tunnel surroun ding rock corresponding relation as face.
The face country rock is carried out comprehensive survey and following the tracks of constructing tunnel and carry out through aforesaid geology observation analysis and two kinds of methods of wave velocity testing, is the effective ways that accurately directly the face country rock carried out the refinement classification.
S104: the parameters in the work progress is carried out monitoring measurement, and according to the country rock classification of the said face that obtains among the monitoring measurement data correction step S103 that obtains.
Described monitoring measurement data comprise tunnel vault sedimentation value, peripheral convergency value, pressure from surrounding rock value, reinforcement stresses value and just prop up the crack and have or not.
Described tunnel vault sedimentation value is measured acquisition through spirit-leveling instrument; Described peripheral convergency value is obtained by convergence gauge; Described pressure from surrounding rock value is obtained by the pressure cell that is embedded between the country rock steel bow member; Described reinforcement stresses value is measured through the reinforcing bar instrumentation, and a described crack value just obtains through the gap observation appearance.
The field monitoring data are reactions of tunnel surrounding supporting situation in the work progress; The field monitoring data analysis is that the monitoring measurement data in the constructing tunnel process are analyzed; Utilize the data of monitoring measurement in the constructing tunnel process to carry out country rock refinement classification, Monitoring Data comprises tunnel vault sedimentation value, peripheral convergency value, pressure from surrounding rock and reinforcement stresses etc.Through described monitoring measurement data are analyzed, whether high or low with the country rock classification of judging face, according to circumstances revising, or improve or reduce the country rock classification.
Like the tunnel deformation in the work progress is the common reflection of geologic condition and supporting condition; Analyzing the field monitoring data knows when tunnel wall rock deformation and force value are big; Explain under the current geologic condition a little less than the surrounding rock supporting; Explain that the actual country rock rank of determined country rock size scale of prospective design stage is low, palpus rising country rock rank is strengthened support form; When surrouding rock deformation and force value hour, then the country rock rank and the actual country rock situation of explanation design are approaching, need not revise the country rock rank; When surrouding rock deformation was too small, then the country rock rank of explanation design was too high, looks field condition and can suitably reduce the country rock rank.
In the embodiment of the invention, referring to shown in Figure 4, the dynamic refinement stage division of country rock process flow diagram.The first step: analyze prospective design in early stage data, tentatively grasp country rock classification situation; Second step: carry out the tunnel excavation construction, apart from the comprehensive parameters advance geologic prediction refinement is carried out in the country rock classification of prospective design stage to long, high precision short distance forecast front of tunnel heading 30m country rock is done accurately to judge to the country rock classification; If all are normal, then got into for the 3rd step:, revise the country rock classification to face geological record observation and the test of elastic wave longitudinal wave velocity; If run into special location or significant points, then adopt boring and coring checking and gaging hole evaluation correction to quantize the method for country rock classification, go on foot country rock is revised thereby get into the 3rd; Revise and got into for the 4th step later: through monitoring measurement, analyze Monitoring Data, the classification of checking country rock, guiding construction.So back and forth, repeat four steps of the first step to the, tunnel excavation carries out next circulation country rock classification.
In the embodiment of the invention, referring to shown in Figure 5, the embodiment of the invention provide based on prospective design analysis method country rock stage division process flow diagram.At first analyze prospective design in the early stage data in tunnel, further grasp the classification of tunnel surroun ding rock situation, carry out comprehensive refinement classification based on the country rock stage method of comprehensive parameters advance geologic prediction at last.In conjunction with Fig. 6, Fig. 6 is the advance geologic prediction method country rock stage division process flow diagram based on comprehensive parameters that the embodiment of the invention provides.-utilize seismic event to architectonic susceptibility, to grow apart from advance geologic prediction at tunnel tunnel face, forecast distance is greater than 100m, according to weather report result and contrast the country rock classification situation that face country rock situation is judged the place ahead, tunnel; Utilize the susceptibility of electromagnetic wave to water; Carry out the short distance advance geologic prediction at tunnel tunnel face; The forecast distance is less than 30m, and the forecast result of the long range sensing of checking and the country rock classification situation in tunnel quantize if run into significant points or special location employing boring and coring checking and gaging hole evaluation correction; Result of detection contrast related specifications country rock classification situation is revised, and then carries out face country rock comprehensive survey method after waiting to revise and carries out the country rock classification.Fig. 7 embodiment of the invention provide based on face country rock comprehensive survey method country rock stage division process flow diagram.Observation of face country rock geology and the test of face country rock longitudinal wave velocity are carried out in the classification of face country rock comprehensive survey method country rock respectively; Face country rock geology is observed and is mainly comprised: the influence of face state, catamorphism, fracture spacing, crack state, crack form, water burst, water; Contrast the tunnel related specifications according to observed data then, judge tunnel tunnel face country rock rank situation.After carrying out the test of face country rock longitudinal wave velocity,, judge the country rock classification situation of face with result of detection and related specifications contrast.Two kinds of classification situation are compared, when both country rock ranks judge that when the result was more or less the same, the field monitoring data analysis method carried out the country rock classification.If both country rock ranks are judged when structure differs big, are returned and carry out taking data sample to carry out test comparison again more.Fig. 8 be the embodiment of the invention provide based on field monitoring data analysis method country rock stage division process flow diagram.Near to the tunnel tunnel face country rock monitoring measurement data are analyzed; Adopt spirit-leveling instrument, convergence gauge, pressure cell, reinforcing bar meter, gap observation appearance etc.; Concrete monitoring measurement vault sedimentation value, peripheral convergency value, pressure from surrounding rock value, reinforcement stresses value, first propping up have free from flaw etc.; These values are analyzed whether force value surpasses the standard permissible value, first propping up has free from flaw,, explain that then the country rock rank of judging is lower than actual country rock rank if force value surpasses the standard permissible value; If the pressure value is above the standard permissible value, then the country rock rank of explanation judgement is higher or identical than actual country rock rank.
Fig. 9 is the synoptic diagram based on the dynamic refinement hierarchy system of the tunnel excavation country rock block diagram of comprehensive parameters that the embodiment of the invention provides.The dynamic refinement hierarchy system of this tunnel excavation country rock based on comprehensive parameters comprises forecast system, monitoring and acquisition system, measuring system and computing machine.
Said forecast system is a USEP21 underground engineering construction advance geologic prediction system, is used for that the face country rock is carried out the comprehensive parameters advance geologic prediction and surveys, and according to the country rock classification of the forecast detection data correction face that obtains.
Said forecast system comprises USP underground engineering construction advance geologic prediction device and UEP underground engineering construction advance geologic prediction device; Said USP underground engineering construction advance geologic prediction device is used for surveying through utilizing seismic event that said face country rock is grown apart from the comprehensive parameters advance geologic prediction, and the length of acquisition is apart from the geologic prediction detection data; Said UEP underground engineering construction advance geologic prediction device is used for surveying through utilizing electromagnetic wave that said face country rock is carried out short distance comprehensive parameters advance geologic prediction, obtains short distance geologic prediction detection data.
Said USP underground engineering construction advance geologic prediction device also comprises: initiator, multi-component seismic ripple space receiving trap, multi-channel synchronous signal picker; Said initiator is used to cause seismic event; Said multi-component seismic ripple space receiving trap is used to receive the seismic event that is produced by said initiator initiation earthquake; Said multi-channel synchronous signal picker is used to gather the vibrations and the fluctuating signal of the face country rock that causes because of seismic event.
Said UEP underground engineering construction advance geologic prediction device also comprises: electromagnetic wave transmitter, electromagnetic wave receiver and multi-channel synchronous signal picker; Said electromagnetic wave transmitter is used at said face country rock launching electromagnetic wave; Said electromagnetic wave receiver is used to be received from the electromagnetic wave that described face country rock returns, and said multi-channel synchronous signal picker is used for the feedback signal of synchronous acquisition from said face country rock.
Said monitoring system comprises spirit-leveling instrument, convergence gauge, pressure cell, reinforcing bar meter and gap observation appearance etc.; Said spirit-leveling instrument is used to measure tunnel vault sedimentation value; Convergence gauge is used to obtain peripheral convergency value; Pressure cell is used to obtain the pressure from surrounding rock value that is embedded between the country rock steel bow member, and said reinforcing bar meter is used for obtaining the reinforcement stresses value through measurement, and said gap observation appearance is used to obtain a crack value just.
Said measuring system comprises face country rock compressional wave receiver and longitudinal elastic wave wave velocity testing appearance, is used to obtain the longitudinal elastic wave velocity of wave of said face country rock.
The inside of said computing machine mainly comprises data processing module, data memory module and data disaply moudle, and said data disaply moudle is used to connect display, and the country rock comprehensive parameters that shows face is declared and translated the result; Said data memory module is used to store Monitoring Data, acquired signal, long and short apart from the geologic prediction detection data; Said data processing module is used for the data of processing memory storage.
The present invention is through on the basis of the definite country rock classification of prospective design analysis; Integrated use comprehensive parameters advance geologic prediction, face country rock comprehensive survey and field monitoring data analysis are carried out comprehensive refinement classification to the tunnel surrounding that encloses of construction stage again; The present invention is owing to be before tunnel excavation, in the tunnel excavation process and respectively the country rock rank in tunnel revised refinement behind the tunnel excavation, thereby makes country rock classification refinement more, accurately.
The above only is a preferred implementation of the present invention; Should be pointed out that for those skilled in the art, under the prerequisite that does not break away from the principle of the invention; Can also make some improvement and retouching, these improvement and retouching also should be regarded as protection scope of the present invention.
Claims (8)
1. the dynamic refinement stage division of the tunnel excavation country rock based on comprehensive parameters is characterized in that, may further comprise the steps:
1), analyze tunnel inspection of the scene of a crime design data, tentatively judge the classification of tunnel tunnel face country rock;
2), utilize USEP21 underground engineering construction advance geologic prediction system that said face country rock is carried out the comprehensive parameters advance geologic prediction to survey, and according to the country rock classification of the said face that obtains in the forecast detection data correction step 1) that obtains;
3), said face country rock is carried out geological record observe and carry out the longitudinal elastic wave wave velocity testing, according to the observed data and the longitudinal elastic wave wave velocity testing data correction step 2 that obtain) in the country rock classification of the said face that obtains;
4), the parameters in construction step preface is carried out monitoring measurement, and according to the country rock classification of the said face that obtains in the monitoring measurement data correction step 3) of obtaining.
2. the dynamic refinement stage division of the tunnel excavation country rock based on comprehensive parameters according to claim 1; It is characterized in that; The described USEP21 of utilization underground engineering construction advance geologic prediction system carries out the comprehensive parameters advance geologic prediction to said face country rock and surveys; And the step of the country rock classification of the said face that obtains in the forecast detection data correction step 1) according to acquisition, specifically comprise:
Utilize seismic event that said face country rock is grown apart from the comprehensive parameters advance geologic prediction and survey, apart from the geologic prediction detection data, judge the country rock classification of the place ahead, said tunnel face according to the length that obtains;
Utilizing electromagnetic wave that said face country rock is carried out short distance comprehensive parameters advance geologic prediction in the work progress surveys;
When running into the special location of significant points, carry out indoor checking and borehole test means through boring and coring and face country rock geological condition is estimated and revised quantize the classification of said face country rock.
3. the dynamic refinement stage division of the tunnel excavation country rock based on comprehensive parameters according to claim 2 is characterized in that, described long distance is meant that greater than 100 meters, described short distance is meant less than 30 meters.
4. the dynamic refinement stage division of the tunnel excavation country rock based on comprehensive parameters according to claim 1; It is characterized in that; Said face country rock is carried out geology observes and carry out the longitudinal elastic wave wave velocity testing, according to the observed data and the longitudinal elastic wave wave velocity testing data correction step 2 that obtain) in the step of the said face country rock classification that obtains specifically comprise:
Said face country rock is carried out geology to be observed; According to observation situation utilization geological record method good working condition, underground water and the initial stress state of said face rock mass are analyzed; In case of necessity the rock rock mass is carried out mechanical test, contrast tunnel related specifications is judged the country rock classification of said face;
Test the longitudinal elastic wave velocity of wave of said face country rock, try to achieve the average elasticity longitudinal wave velocity of said face country rock,, confirm the country rock classification of said face with reference to the corresponding relation of classification of tunnel surroun ding rock and longitudinal elastic wave velocity of wave;
If during near the country rock classification basically identical the said face that above-mentioned two kinds of methods are judged, finish this step, otherwise the image data sample is tested and according to the classification of the said face country rock of test result correction.
5. the dynamic refinement stage division of the tunnel excavation country rock based on comprehensive parameters according to claim 4; It is characterized in that the scope that said face country rock geology is observed comprises spacing, state and the form in face state, face catamorphism situation, face crack, underground water burst situation.
6. the dynamic refinement stage division of the tunnel excavation country rock based on comprehensive parameters according to claim 4 is characterized in that the average elasticity longitudinal wave velocity that calculates said face country rock adopts following mode:
Focal point is fixed on said face; Through moving the position change measuring distance of receiving sensor; Perhaps receiving sensor is fixed on described face, changes measuring distance through moving focal point, mode of excitation adopts hammering iron plate focus; Test the longitudinal elastic wave velocity of wave at said face country rock multiple spot place, and calculate the average elasticity longitudinal wave velocity of said face country rock.
7. the dynamic refinement stage division of the tunnel excavation country rock based on comprehensive parameters according to claim 1; It is characterized in that described monitoring measurement data comprise tunnel vault sedimentation value, peripheral convergency value, pressure from surrounding rock value, reinforcement stresses value and just prop up the crack and have or not etc.
8. the dynamic refinement hierarchy system of the tunnel excavation country rock based on comprehensive parameters is characterized in that: comprise forecast system, monitoring and acquisition system, measuring system and computing machine;
Said forecast system is a USEP21 underground engineering construction advance geologic prediction system, is used for that the face country rock is carried out the comprehensive parameters advance geologic prediction and surveys, and according to the country rock classification of the forecast detection data correction face that obtains;
Said forecast system comprises USP underground engineering construction advance geologic prediction device and UEP underground engineering construction advance geologic prediction device; Said USP underground engineering construction advance geologic prediction device is used for surveying through utilizing seismic event that said face country rock is grown apart from the comprehensive parameters advance geologic prediction, and the length of acquisition is apart from the geologic prediction detection data; Said UEP underground engineering construction advance geologic prediction device is used for surveying through utilizing electromagnetic wave that said face country rock is carried out short distance comprehensive parameters advance geologic prediction, obtains short distance geologic prediction detection data;
Said USP underground engineering construction advance geologic prediction device also comprises: initiator, multi-component seismic ripple space receiving trap, multi-channel synchronous signal picker; Said initiator is used to cause seismic event; Said multi-component seismic ripple space receiving trap is used to receive the seismic event that is produced by said initiator initiation earthquake; Said multi-channel synchronous signal picker is used to gather the vibrations and the fluctuating signal of the face country rock that causes because of seismic event;
Said UEP underground engineering construction advance geologic prediction device also comprises: electromagnetic wave transmitter, electromagnetic wave receiver and multi-channel synchronous signal picker; Said electromagnetic wave transmitter is used at said face country rock launching electromagnetic wave; Said electromagnetic wave receiver is used to be received from the electromagnetic wave that described face country rock returns, and said multi-channel synchronous signal picker is used for the feedback signal of synchronous acquisition from said face country rock;
Said monitoring system comprises spirit-leveling instrument, convergence gauge, pressure cell, reinforcing bar meter and gap observation appearance etc.; Said spirit-leveling instrument is used to measure tunnel vault sedimentation value; Convergence gauge is used to obtain peripheral convergency value; Pressure cell is used to obtain the pressure from surrounding rock value that is embedded between the country rock steel bow member, and said reinforcing bar meter is used for obtaining the reinforcement stresses value through measurement, and said gap observation appearance is used to obtain a crack value just;
Said measuring system comprises face country rock compressional wave receiver and longitudinal elastic wave wave velocity testing appearance, is used to obtain the longitudinal elastic wave velocity of wave of said face country rock;
The inside of said computing machine mainly comprises data processing module, data memory module and data disaply moudle, and said data disaply moudle is used to connect display, and the country rock comprehensive parameters that shows face is declared and translated the result; Said data memory module is used to store Monitoring Data, acquired signal, long and short apart from the geologic prediction detection data; Said data processing module is used for the data of processing memory storage.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201210195163.0A CN102736124B (en) | 2012-06-14 | 2012-06-14 | Tunnel excavation surrounding rock dynamic refined classification method based on integrated parameters |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201210195163.0A CN102736124B (en) | 2012-06-14 | 2012-06-14 | Tunnel excavation surrounding rock dynamic refined classification method based on integrated parameters |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN102736124A true CN102736124A (en) | 2012-10-17 |
| CN102736124B CN102736124B (en) | 2014-03-19 |
Family
ID=46991946
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201210195163.0A Active CN102736124B (en) | 2012-06-14 | 2012-06-14 | Tunnel excavation surrounding rock dynamic refined classification method based on integrated parameters |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN102736124B (en) |
Cited By (30)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103852806A (en) * | 2014-03-25 | 2014-06-11 | 中国建筑股份有限公司 | Method for forecasting landslide and side slope by using tunnel advance geology forecast technology |
| CN104198676A (en) * | 2014-08-21 | 2014-12-10 | 同济大学 | Surrounding rock classifying method suitable for milling and excavating of tunnels |
| CN104298856A (en) * | 2014-09-17 | 2015-01-21 | 重庆市武隆县交通委员会 | Tunnel advance geology forecast method based on surrounding rock deformation monitoring and numerical simulation |
| CN106483196A (en) * | 2016-09-14 | 2017-03-08 | 杭州杭浙检测科技有限公司 | A kind of tunnel surrounding elastic wave testing method |
| CN106570292A (en) * | 2016-11-14 | 2017-04-19 | 中建山东投资有限公司 | Super-large-cross-section tunnel-based surrounding rock classification method |
| CN106644728A (en) * | 2017-02-24 | 2017-05-10 | 中国矿业大学(北京) | Point loading test analysis method based on surrounding rock classification of super-large section tunnel |
| CN106706182A (en) * | 2016-11-18 | 2017-05-24 | 中南大学 | Secondary testing method for stress field of wall rock region of tunnel of high-stress region |
| CN107091113A (en) * | 2017-06-30 | 2017-08-25 | 湖南科技大学 | Determine different degrees of water-rich and tunnel tunnel face calculation method for stability under drilling depth |
| CN107797138A (en) * | 2017-10-19 | 2018-03-13 | 云南省水利水电勘测设计研究院 | The improvement of forecast precision influence factor and optimization method in a kind of advance geologic prediction |
| CN108646298A (en) * | 2018-04-09 | 2018-10-12 | 陕西铁道工程勘察有限公司 | The method of tunnel velocity of wave inversion imaging and fender graded under more well MULTIPLE PARAMETERS CONSTRAINTs |
| CN108873096A (en) * | 2018-04-27 | 2018-11-23 | 四川隧唐科技股份有限公司 | geological prediction confirmation method and device |
| CN109239768A (en) * | 2018-09-29 | 2019-01-18 | 青岛河澄知识产权有限公司 | A kind of test method of explosion wall rock loosening ring and degree of injury |
| CN109374456A (en) * | 2018-09-03 | 2019-02-22 | 山东大学 | Suitable for tunnel surrounding quality grading and rate of decay discriminating gear and method |
| CN109580916A (en) * | 2019-01-25 | 2019-04-05 | 黄河勘测规划设计有限公司 | Rapid integrated acquisition system for parameter needed for TBM tunnel rock mass classification |
| CN109630154A (en) * | 2019-01-24 | 2019-04-16 | 华能西藏雅鲁藏布江水电开发投资有限公司 | A kind of development machine people and remote mobile terminal command system for tunnel piercing |
| CN109886534A (en) * | 2019-01-09 | 2019-06-14 | 中国铁建重工集团有限公司 | Discrimination method and device for classification of tunnel surroun ding rock |
| CN110109895A (en) * | 2019-03-29 | 2019-08-09 | 山东大学 | Fender graded unified prediction and application suitable for TBM driving tunnel |
| CN110147635A (en) * | 2019-05-31 | 2019-08-20 | 大连海事大学 | A kind of advanced dynamic prediction method of tunnel surrounding rank based on BIM |
| CN110174694A (en) * | 2019-02-26 | 2019-08-27 | 成都畅达通检测技术股份有限公司 | A kind of acquisition of advance geologic prediction data and analysis method |
| CN110619483A (en) * | 2019-09-29 | 2019-12-27 | 山东科技大学 | Tunnel surrounding rock grade dynamic change and decision-making method based on multi-source data fusion analysis |
| CN110671150A (en) * | 2019-10-14 | 2020-01-10 | 中铁第四勘察设计院集团有限公司 | Surrounding rock grading correction method and device based on tunnel buried depth and weathering layer thickness |
| CN111551427A (en) * | 2020-04-23 | 2020-08-18 | 长江水利委员会长江科学院 | Advanced quantitative prediction method for large deformation of soft rock of deep-buried long tunnel |
| CN112798452A (en) * | 2020-12-31 | 2021-05-14 | 北京市水利规划设计研究院 | Method for determining grade of surrounding rock |
| CN113074695A (en) * | 2021-04-06 | 2021-07-06 | 西南交通大学 | Tunnel stability interpretation method based on tunnel face three-dimensional deformation monitoring |
| CN113312433A (en) * | 2021-06-18 | 2021-08-27 | 苏柏瑞 | Surrounding rock classification method and classification system |
| CN113481929A (en) * | 2021-06-22 | 2021-10-08 | 中交广州航道局有限公司 | Underwater hard rock excavation method and device based on hydraulic breaking hammer |
| CN113513973A (en) * | 2021-04-21 | 2021-10-19 | 中国铁路设计集团有限公司 | Tunnel deep surrounding rock loosening ring deformation monitoring method |
| CN114355447A (en) * | 2022-01-13 | 2022-04-15 | 中国安能集团第三工程局有限公司 | Tunnel engineering surrounding rock grade rapid division method and device |
| CN114926101A (en) * | 2022-07-18 | 2022-08-19 | 石家庄铁道大学 | Construction speed and safety-oriented TBM (Tunnel boring machine) adaptive surrounding rock grading method |
| CN117556291A (en) * | 2023-09-25 | 2024-02-13 | 西南交通大学 | Surrounding rock grade identification method and system based on fusion of while-drilling parameters and wave velocity information |
Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2002021159A2 (en) * | 2000-09-08 | 2002-03-14 | Pgs Americas, Inc. | Method and system for attenuation of acquisition geometry imprint in seismic data |
| US20020167215A1 (en) * | 2001-05-10 | 2002-11-14 | Inco Limited | Method of drilling |
| CN102155231A (en) * | 2011-03-18 | 2011-08-17 | 大连海事大学 | Quick feedback analyzing system in tunnel constructing process |
-
2012
- 2012-06-14 CN CN201210195163.0A patent/CN102736124B/en active Active
Patent Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2002021159A2 (en) * | 2000-09-08 | 2002-03-14 | Pgs Americas, Inc. | Method and system for attenuation of acquisition geometry imprint in seismic data |
| US20020167215A1 (en) * | 2001-05-10 | 2002-11-14 | Inco Limited | Method of drilling |
| CN102155231A (en) * | 2011-03-18 | 2011-08-17 | 大连海事大学 | Quick feedback analyzing system in tunnel constructing process |
Cited By (42)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103852806A (en) * | 2014-03-25 | 2014-06-11 | 中国建筑股份有限公司 | Method for forecasting landslide and side slope by using tunnel advance geology forecast technology |
| CN104198676A (en) * | 2014-08-21 | 2014-12-10 | 同济大学 | Surrounding rock classifying method suitable for milling and excavating of tunnels |
| CN104198676B (en) * | 2014-08-21 | 2015-11-25 | 同济大学 | A kind of fender graded method being applicable to milling and holing |
| CN104298856B (en) * | 2014-09-17 | 2017-05-24 | 重庆市武隆县交通委员会 | Tunnel advance geology forecast method based on surrounding rock deformation monitoring and numerical simulation |
| CN104298856A (en) * | 2014-09-17 | 2015-01-21 | 重庆市武隆县交通委员会 | Tunnel advance geology forecast method based on surrounding rock deformation monitoring and numerical simulation |
| CN106483196A (en) * | 2016-09-14 | 2017-03-08 | 杭州杭浙检测科技有限公司 | A kind of tunnel surrounding elastic wave testing method |
| CN106570292A (en) * | 2016-11-14 | 2017-04-19 | 中建山东投资有限公司 | Super-large-cross-section tunnel-based surrounding rock classification method |
| CN106706182B (en) * | 2016-11-18 | 2018-01-09 | 中南大学 | A kind of second test method of region of high stress tunnel surrounding regional stress field |
| CN106706182A (en) * | 2016-11-18 | 2017-05-24 | 中南大学 | Secondary testing method for stress field of wall rock region of tunnel of high-stress region |
| CN106644728A (en) * | 2017-02-24 | 2017-05-10 | 中国矿业大学(北京) | Point loading test analysis method based on surrounding rock classification of super-large section tunnel |
| CN107091113B (en) * | 2017-06-30 | 2019-04-16 | 湖南科技大学 | Determine tunnel tunnel face calculation method for stability under different degrees of water-rich and drilling depth |
| CN107091113A (en) * | 2017-06-30 | 2017-08-25 | 湖南科技大学 | Determine different degrees of water-rich and tunnel tunnel face calculation method for stability under drilling depth |
| CN107797138A (en) * | 2017-10-19 | 2018-03-13 | 云南省水利水电勘测设计研究院 | The improvement of forecast precision influence factor and optimization method in a kind of advance geologic prediction |
| CN108646298A (en) * | 2018-04-09 | 2018-10-12 | 陕西铁道工程勘察有限公司 | The method of tunnel velocity of wave inversion imaging and fender graded under more well MULTIPLE PARAMETERS CONSTRAINTs |
| CN108873096A (en) * | 2018-04-27 | 2018-11-23 | 四川隧唐科技股份有限公司 | geological prediction confirmation method and device |
| CN109374456A (en) * | 2018-09-03 | 2019-02-22 | 山东大学 | Suitable for tunnel surrounding quality grading and rate of decay discriminating gear and method |
| CN109239768A (en) * | 2018-09-29 | 2019-01-18 | 青岛河澄知识产权有限公司 | A kind of test method of explosion wall rock loosening ring and degree of injury |
| CN109886534A (en) * | 2019-01-09 | 2019-06-14 | 中国铁建重工集团有限公司 | Discrimination method and device for classification of tunnel surroun ding rock |
| CN109630154A (en) * | 2019-01-24 | 2019-04-16 | 华能西藏雅鲁藏布江水电开发投资有限公司 | A kind of development machine people and remote mobile terminal command system for tunnel piercing |
| CN109630154B (en) * | 2019-01-24 | 2023-08-25 | 华能西藏雅鲁藏布江水电开发投资有限公司 | Tunneling robot for tunneling and remote mobile terminal command system |
| CN109580916A (en) * | 2019-01-25 | 2019-04-05 | 黄河勘测规划设计有限公司 | Rapid integrated acquisition system for parameter needed for TBM tunnel rock mass classification |
| CN109580916B (en) * | 2019-01-25 | 2023-12-26 | 黄河勘测规划设计研究院有限公司 | Rapid comprehensive acquisition system for parameters required by TBM tunnel rock mass classification |
| CN110174694A (en) * | 2019-02-26 | 2019-08-27 | 成都畅达通检测技术股份有限公司 | A kind of acquisition of advance geologic prediction data and analysis method |
| CN110109895A (en) * | 2019-03-29 | 2019-08-09 | 山东大学 | Fender graded unified prediction and application suitable for TBM driving tunnel |
| CN110109895B (en) * | 2019-03-29 | 2021-05-28 | 山东大学 | Surrounding rock grading combined prediction method suitable for TBM tunneling tunnel and application |
| CN110147635B (en) * | 2019-05-31 | 2022-10-18 | 大连海事大学 | BIM-based tunnel surrounding rock level advanced dynamic prediction method |
| CN110147635A (en) * | 2019-05-31 | 2019-08-20 | 大连海事大学 | A kind of advanced dynamic prediction method of tunnel surrounding rank based on BIM |
| CN110619483A (en) * | 2019-09-29 | 2019-12-27 | 山东科技大学 | Tunnel surrounding rock grade dynamic change and decision-making method based on multi-source data fusion analysis |
| CN110671150B (en) * | 2019-10-14 | 2021-04-27 | 中铁第四勘察设计院集团有限公司 | Surrounding rock grading correction method and device based on tunnel buried depth and weathering layer thickness |
| CN110671150A (en) * | 2019-10-14 | 2020-01-10 | 中铁第四勘察设计院集团有限公司 | Surrounding rock grading correction method and device based on tunnel buried depth and weathering layer thickness |
| CN111551427A (en) * | 2020-04-23 | 2020-08-18 | 长江水利委员会长江科学院 | Advanced quantitative prediction method for large deformation of soft rock of deep-buried long tunnel |
| CN111551427B (en) * | 2020-04-23 | 2023-01-17 | 长江水利委员会长江科学院 | Advanced quantitative prediction method for large deformation of soft rock of deep-buried long tunnel |
| CN112798452A (en) * | 2020-12-31 | 2021-05-14 | 北京市水利规划设计研究院 | Method for determining grade of surrounding rock |
| CN112798452B (en) * | 2020-12-31 | 2023-11-10 | 北京市水利规划设计研究院 | Method for determining surrounding rock grade |
| CN113074695A (en) * | 2021-04-06 | 2021-07-06 | 西南交通大学 | Tunnel stability interpretation method based on tunnel face three-dimensional deformation monitoring |
| CN113513973A (en) * | 2021-04-21 | 2021-10-19 | 中国铁路设计集团有限公司 | Tunnel deep surrounding rock loosening ring deformation monitoring method |
| CN113312433A (en) * | 2021-06-18 | 2021-08-27 | 苏柏瑞 | Surrounding rock classification method and classification system |
| CN113481929A (en) * | 2021-06-22 | 2021-10-08 | 中交广州航道局有限公司 | Underwater hard rock excavation method and device based on hydraulic breaking hammer |
| CN114355447A (en) * | 2022-01-13 | 2022-04-15 | 中国安能集团第三工程局有限公司 | Tunnel engineering surrounding rock grade rapid division method and device |
| CN114926101B (en) * | 2022-07-18 | 2022-10-28 | 石家庄铁道大学 | Construction speed and safety-oriented TBM (Tunnel boring machine) adaptive surrounding rock grading method |
| CN114926101A (en) * | 2022-07-18 | 2022-08-19 | 石家庄铁道大学 | Construction speed and safety-oriented TBM (Tunnel boring machine) adaptive surrounding rock grading method |
| CN117556291A (en) * | 2023-09-25 | 2024-02-13 | 西南交通大学 | Surrounding rock grade identification method and system based on fusion of while-drilling parameters and wave velocity information |
Also Published As
| Publication number | Publication date |
|---|---|
| CN102736124B (en) | 2014-03-19 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN102736124B (en) | Tunnel excavation surrounding rock dynamic refined classification method based on integrated parameters | |
| Krietsch et al. | Stress measurements for an in situ stimulation experiment in crystalline rock: integration of induced seismicity, stress relief and hydraulic methods | |
| CN101251605B (en) | Method for forecasting advanced geology for tunnel construction | |
| CN104656124A (en) | Multi-parameter comprehensive rock burst predicting method based on geophysical exploration method | |
| CN103255785A (en) | Technology for performing foundation pile quality detection and geology survey by adopting single tube longitudinal wave method | |
| CN105318824B (en) | A kind of method that wall rock loosening ring is measured based on distributed resistance foil gauge | |
| CN101226240A (en) | Electricity-shaping tunnel geology detecting prognostication method and apparatus | |
| US20120272743A1 (en) | Method and Apparatus for Laser-Based Non-Contact Three-Dimensional Borehole Stress Measurement and Pristine Stress Estimation | |
| US20230324577A1 (en) | Real-Time Microseismic Magnitude Calculation Method and Device Based on Deep Learning | |
| CN104181581A (en) | Earthquake wave underground construction space observation system and method based on random arrangement | |
| CN105277982A (en) | Shale total organic carbon content earthquake prediction method | |
| CN105719433A (en) | In-hole seismic wave based advanced prediction method | |
| CN101581223B (en) | Method for detecting slip casting effect of tunnel | |
| CN106597528A (en) | Tunnel geology three-dimensional seismic reflection and seismo-electric integrated advanced exploration device and method | |
| CN105735971A (en) | Drilling hole depth detection system based on elastic waves and detection method thereof | |
| Takahashi et al. | ISRM suggested methods for borehole geophysics in rock engineering | |
| CN113552629A (en) | Tunnel surrounding rock longitudinal wave velocity determination method and device and computer equipment | |
| CN104977603A (en) | Tunnel geological advance forecasting method based on mechanical energy nondestructive detection | |
| CN106154310A (en) | A kind of Portable city geologic anomaly seismic acquisition system and method | |
| CN112833807A (en) | Surrounding rock deformation monitoring method and prediction method suitable for double-shield TBM | |
| CN110424938A (en) | Joint transient electromagnetic, salinity measurement and the pressure break of microseism coverage test method | |
| Chen et al. | Research on in situ stress inversion of deep‐buried tunnel based on pressure/tension axis mechanism and geological structure | |
| CN104020488A (en) | Wireless-distributed-type elastic wave reflector detection device, system and method | |
| Dickmann et al. | How to turn geological uncertainty into manageable risk | |
| Shang et al. | Advanced predication of geological anomalous body ahead of laneway using seismic tomography technique |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| C06 | Publication | ||
| PB01 | Publication | ||
| C10 | Entry into substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |