CN110188426A - Tunnel geological condition collaborative prediction method - Google Patents
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Abstract
The invention discloses a tunnel geological condition collaborative prediction method which comprises the steps of building a geological environment mathematical model, building a geomechanical model, building a geological environment collaborative prediction model, and building a comprehensive geological environment collaborative prediction model before tunnel excavation and after tunnel excavation disturbance. The method has the advantage of accurate prediction method.
Description
Technical field
The invention belongs to Geotechnical Engineering fields, are related to tunnel geology condition " collaboration " prediction, to realize underground excavation
Influence before and influence after comprehensive geology environment collaborative forecasting.
Background technique
Currently, China has become the country of the world's largest underground space development and tunnel construction market, there is 8 seabeds
Tunnel is in the planning construction stage；There is 33 urban plannings subway construction, will be up to 93 to subway line in 2016, overall length
Up to 2542 kms, gross investment is up to 1,022,000,000,000 yuan；China also has become maximum High-speed Railway Network country in the world, wherein
Route more than 50% is Railway Tunnel.In addition, the area of China about 70% is mountain topography from geographical angle,
East Coastal mountainous region, middle part knob and more complicated western basin and highlands are all the emphasis areas of engineering construction
Domain.Subterranean tunnel is excavated in city densely populated, that surface structures facility is densely covered, negative environment effects problem is inevitable
's.Because no matter city tunnel buried depth size, different degrees of disturbance and destruction are generated to the Geotechnical Environment of country rock, in turn
Cause strata movement and deformation, this movement and development of deformation to earth's surface, cause ground settlement, or even geology occurs and collapses, makes
At the damage of above ground structure, the destruction of communal facility, the damage of superficial part urban lifeline engineering.So research tunnel geology item
Part " collaboration " Predicting Technique is very with practical value.
At present both at home and abroad there is not yet report is about tunnel geology condition " collaboration " Predicting Technique, usually single use
The mechanical property of geological environment information or Rock And Soil, is analyzed, and causes Geological Environmental Evolution inaccurate, geological hazards prediction is not
The bottlenecks such as standard.Therefore, it is necessary to establish it is a set of can quickly, science, accurately evaluation tunnel excavation before and after Geological Environmental Evolution
Prediction and evaluation system method, provide foundation for the design and construction of city tunnel.
Summary of the invention
The purpose of the present invention is to provide a kind of tunnel geology condition collaborative forecasting methods, and the beneficial effects of the invention are as follows pre-
Survey method is accurate.
The technical scheme adopted by the invention is that foundation, geomechanics model including geological environment mathematical model are built
It is vertical, comprehensive geology environment collaborative forecasting model builds before the collaborative forecasting of geological environment, tunnel excavation and after tunnel excavation disturbance
It is vertical.
Further, the foundation of geological environment mathematical model is that establish geological environment mathematical model include established geology letter
Cease cloud microfluidic platform；Geological structure, formation variation, rock property, surface dust property, the spatial distribution characteristic of aqueous property, space become
The information of law；The macroscopic law information of geological environment variable.
Further, the foundation of geomechanics model is that establish geomechanics model include Geologic Structure Feature and rock-soil mechanics
Performance two parts, Geologic Structure Feature include using fractal theory, study each variable microscopic feature of geological environment and mutually strain
The information of macroscopic law relationship is measured, mechanical behaviour of soil and rock includes the mechanical stae of Rock And Soil, strength characteristics.
Further, the collaborative forecasting of geological environment is that the geological environments such as analysis geological structure network, Rock Masses Fractures network become
The fractal cloth property of amount, with geological environment multi-fractal interpolation theory, founding mathematical models write computer program, right
Geological structure network, Rock Masses Fractures networked address environmental variance carry out fractal prediction, and Collaborative engineering geological prospecting information, underground
It excavates and discloses information and advance geologic prediction information, be compared, verify perfect, realize the collaborative forecasting of geological environment.
Further, the foundation of comprehensive geology environment collaborative forecasting model is to establish before tunnel excavation and after tunnel excavation disturbance
Prediction model include the geologic body that is related to of constructing tunnel additional stress variation characteristic, deformation field Evolution in the case where adding unloading
Information；Underground excavation induces the duration of Rock And Soil deformation, divides its initial period, active period, decline phase and stationary phase；Ground
Space Distribution Characteristics and the information for dividing shape reconstruct regular when matter environmental variance.
Specific embodiment
The present invention is described in detail With reference to embodiment.
The method of the present invention is as follows:
(1) on-site land survey: collect city tunnel geological environment related data, as Beijing, Shanghai, Hangzhou, Dalian, Xiamen,
The ground such as Qingdao (in particular, seminar is by cooperation by production, study and research, with some surveying unit of subway, designing unit, unit in charge of construction with
And shield machine production unit establishes good long-term cooperative relationship), by field investigation, exploration and monitoring, understands and analyze
City tunnel geological environment information field distribution characteristics and underground excavation induce formation damage feature, refine key scientific problems；
(2) theoretical research: establish ground with geostatistics principle, fractal theory and synergetics research according to cloud microfluidic platform
The mathematical model and geomechanics model of matter environment, research and propose geological environment multi-fractal interpolation theory, and foundation both considered ground
Initial (before the tunnel excavation) state of matter environment, it is further contemplated that after tunnel excavation disturbance Evolution States comprehensive geology environment collaborative forecasting
Model；
(3) laboratory test: the multi-functional large-tonnage stratum similarity model test model 1. voluntarily developed by us, design
5 equivalent material simulating models are induced using digital speckle technology and 24 hours whole photography technology capture Underground Engineering Excavations
The pests occurrence rule of stratum disaster, while cooperating instrument positioning measurement and accurate sketch, to verify mutually；2. using voluntarily developing
Stress-strain sensor measurement Rock Fracture Processes in stress and strain changing rule, to verify geological disaster mechanics
Relational model；3. being arranged on underground excavation Equivalent Materials Testing machine using the sound wave velocity measuring technique voluntarily developed, test
The geologic body failure mechanism of underground excavation disturbance, meanwhile, 24 hours whole video cameras are installed in the damage sensitizing range of model
And stress, strain and crack monitoring instrument, Study of The Underground excavate the regularity of distribution in the engineering structure damage region induced and to damages
Hurt condition and carry out scientific definition, the theoretical research result of this research is corrected and improved using measured data.
(4) model based reasoning: model based reasoning is applied in the research work of this project, i.e., is gradually disclosed by modeling process
Geological environment initial information field distribution rule, the damage development principle of ground environment, and the interdependent pass to engineering structure damage
System and mechanical response.
(5) system development: the damage development process after regularity of information distribution and underground excavation disturbance to ground environment
Carry out visual Simulation and analysis；
(6) numerical analysis: to ground environment regularity of information distribution and underground excavation disturbance after damage process into
On the basis of row visual Simulation, further pass through numerical Analysis geological information field, mechanical deformation field and underground structure work
Journey, ground building building, urban infrastructure, traffic above-ground engineering and the interaction between lower water body etc., mutual shadow on the ground
Loud and relation of interdependence and the chain hazard effects of generation verify the reliability of this project theoretical research and Experiment Result.
(7) engineering verification: using the TBM construction work of No. 6 lines of Chongqing City's subway and Qingdao City's Line 2 Metro as test site
Ground, detected using this achievement (purchased TRT6000 wireless vibration wave three-dimensional imaging Geological Advanced Prediction system Wireless,
TRT-6000, Seismic, 3DImagingSystem, US Radar company, U.S. Seeker SPR Ground Penetrating Radar etc.), prediction,
Early warning, simulation and analysis, and with observation data comparison, examine and improve research achievement.
The above is only not to make limit in any form to the present invention to better embodiment of the invention
System, any simple modification that embodiment of above is made according to the technical essence of the invention, equivalent variations and modification,
Belong in the range of technical solution of the present invention.
Claims (5)
1. a kind of tunnel geology condition collaborative forecasting method, it is characterised in that: foundation, geology including geological environment mathematical model
Comprehensive geology environment cooperates with before the foundation of mechanical model, the collaborative forecasting of geological environment, tunnel excavation and after tunnel excavation disturbance
The foundation of prediction model.
2. according to a kind of tunnel geology condition collaborative forecasting method described in claim 1, it is characterised in that: the geological environment number
The foundation for learning model is that establish geological environment mathematical model include established geological information cloud microfluidic platform；Geological structure, stratum
Variation, rock property, surface dust property, the information of the spatial distribution characteristic of aqueous property, Spatial Variation；Geological environment variable
Macroscopic law information.
3. according to a kind of tunnel geology condition collaborative forecasting method described in claim 1, it is characterised in that: the geomechanics mould
The foundation of type is that establish geomechanics model include Geologic Structure Feature and mechanical behaviour of soil and rock two parts, Geologic Structure Feature packet
It includes with fractal theory, studies the information of geological environment each variable microscopic feature and relevant variable macroscopic law relationship, ground
Mechanical property includes the mechanical stae of Rock And Soil, strength characteristics.
4. according to a kind of tunnel geology condition collaborative forecasting method described in claim 1, it is characterised in that: the geological environment
Collaborative forecasting is the fractal cloth property for analyzing the geological environments variables such as geological structure network, Rock Masses Fractures network, with geology
Environment multi-fractal interpolation theory, founding mathematical models write computer program, to geological structure network, Rock Masses Fractures network
Geological environment variable carries out fractal prediction, and Collaborative engineering geological prospecting information, underground excavation disclose information and advance geologic is pre-
It notifies breath, is compared, verifies perfect, realize the collaborative forecasting of geological environment.
5. according to a kind of tunnel geology condition collaborative forecasting method described in claim 1, it is characterised in that: before the tunnel excavation
It includes that constructing tunnel relates to that foundation with comprehensive geology environment collaborative forecasting model after tunnel excavation disturbance, which is the prediction model established,
And geologic body add unloading under additional stress variation characteristic, deformation field Evolution information；Underground excavation induces Rock And Soil
The duration of deformation divides its initial period, active period, decline phase and stationary phase；Spatial is special when geological environment variable
Point shape of seeking peace reconstructs an information for rule.
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| CN201910415240.0A CN110188426B (en) | 2019-05-13 | 2019-05-13 | Tunnel geological condition collaborative prediction method |
| PCT/CN2020/088875 WO2020228574A1 (en) | 2019-05-13 | 2020-05-07 | Collaborative prediction method for tunnel geological conditions |
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Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2020228574A1 (en) * | 2019-05-13 | 2020-11-19 | 青岛理工大学 | Collaborative prediction method for tunnel geological conditions |
| CN113591187A (en) * | 2021-07-21 | 2021-11-02 | 珠海市交通勘察设计院有限公司 | Road and bridge design method and system based on BIM real scene model |
| CN115829121A (en) * | 2022-11-30 | 2023-03-21 | 河海大学 | Method and system for predicting stability of deep-buried tunnel |
Families Citing this family (1)
| Publication number | Priority date | Publication date | Assignee | Title |
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| CN113127951B (en) * | 2021-03-17 | 2022-11-01 | 中铁第四勘察设计院集团有限公司 | Design method of small-clear-distance tunnel with porous space |
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| WO2020228574A1 (en) * | 2019-05-13 | 2020-11-19 | 青岛理工大学 | Collaborative prediction method for tunnel geological conditions |
| CN113591187A (en) * | 2021-07-21 | 2021-11-02 | 珠海市交通勘察设计院有限公司 | Road and bridge design method and system based on BIM real scene model |
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