CN112965139B - Advanced geological comprehensive forecasting method for tunnel with complex geological condition - Google Patents
Advanced geological comprehensive forecasting method for tunnel with complex geological condition Download PDFInfo
- Publication number
- CN112965139B CN112965139B CN202110166033.3A CN202110166033A CN112965139B CN 112965139 B CN112965139 B CN 112965139B CN 202110166033 A CN202110166033 A CN 202110166033A CN 112965139 B CN112965139 B CN 112965139B
- Authority
- CN
- China
- Prior art keywords
- geological
- tunnel
- advanced
- wave velocity
- parameters
- 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.)
- Active
Links
- 238000013277 forecasting method Methods 0.000 title claims abstract description 14
- 238000001514 detection method Methods 0.000 claims abstract description 141
- 238000005553 drilling Methods 0.000 claims abstract description 53
- 238000003384 imaging method Methods 0.000 claims abstract description 10
- 238000002591 computed tomography Methods 0.000 claims abstract description 8
- 230000036314 physical performance Effects 0.000 claims abstract description 8
- 239000011435 rock Substances 0.000 claims description 50
- 238000010276 construction Methods 0.000 claims description 36
- 238000012795 verification Methods 0.000 claims description 16
- 238000010586 diagram Methods 0.000 claims description 13
- 238000000034 method Methods 0.000 claims description 10
- 238000012360 testing method Methods 0.000 claims description 8
- 238000004364 calculation method Methods 0.000 claims description 4
- 239000000523 sample Substances 0.000 claims description 3
- XLYOFNOQVPJJNP-UHFFFAOYSA-N water Substances O XLYOFNOQVPJJNP-UHFFFAOYSA-N 0.000 description 20
- 238000009412 basement excavation Methods 0.000 description 13
- 239000002689 soil Substances 0.000 description 10
- 238000002474 experimental method Methods 0.000 description 7
- 238000013524 data verification Methods 0.000 description 6
- 238000004458 analytical method Methods 0.000 description 5
- 238000012876 topography Methods 0.000 description 5
- 239000003673 groundwater Substances 0.000 description 4
- 230000015572 biosynthetic process Effects 0.000 description 3
- 238000011835 investigation Methods 0.000 description 3
- 230000009469 supplementation Effects 0.000 description 3
- BVKZGUZCCUSVTD-UHFFFAOYSA-L Carbonate Chemical compound [O-]C([O-])=O BVKZGUZCCUSVTD-UHFFFAOYSA-L 0.000 description 2
- 235000019738 Limestone Nutrition 0.000 description 2
- 238000004590 computer program Methods 0.000 description 2
- 239000006028 limestone Substances 0.000 description 2
- 239000000463 material Substances 0.000 description 2
- 238000005259 measurement Methods 0.000 description 2
- 239000011148 porous material Substances 0.000 description 2
- 239000013589 supplement Substances 0.000 description 2
- 239000002352 surface water Substances 0.000 description 2
- 239000005442 atmospheric precipitation Substances 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 230000009172 bursting Effects 0.000 description 1
- 230000006835 compression Effects 0.000 description 1
- 238000007906 compression Methods 0.000 description 1
- 238000007796 conventional method Methods 0.000 description 1
- 238000011161 development Methods 0.000 description 1
- 230000009189 diving Effects 0.000 description 1
- 230000000694 effects Effects 0.000 description 1
- 238000010892 electric spark Methods 0.000 description 1
- 238000011010 flushing procedure Methods 0.000 description 1
- 239000010438 granite Substances 0.000 description 1
- 230000008595 infiltration Effects 0.000 description 1
- 238000001764 infiltration Methods 0.000 description 1
- 239000011159 matrix material Substances 0.000 description 1
- 230000002035 prolonged effect Effects 0.000 description 1
- 238000011895 specific detection Methods 0.000 description 1
- 239000000126 substance Substances 0.000 description 1
- 238000006467 substitution reaction Methods 0.000 description 1
- 230000000153 supplemental effect Effects 0.000 description 1
- 238000003325 tomography Methods 0.000 description 1
Classifications
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01V—GEOPHYSICS; GRAVITATIONAL MEASUREMENTS; DETECTING MASSES OR OBJECTS; TAGS
- G01V11/00—Prospecting or detecting by methods combining techniques covered by two or more of main groups G01V1/00 - G01V9/00
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N23/00—Investigating or analysing materials by the use of wave or particle radiation, e.g. X-rays or neutrons, not covered by groups G01N3/00 – G01N17/00, G01N21/00 or G01N22/00
- G01N23/02—Investigating or analysing materials by the use of wave or particle radiation, e.g. X-rays or neutrons, not covered by groups G01N3/00 – G01N17/00, G01N21/00 or G01N22/00 by transmitting the radiation through the material
- G01N23/04—Investigating or analysing materials by the use of wave or particle radiation, e.g. X-rays or neutrons, not covered by groups G01N3/00 – G01N17/00, G01N21/00 or G01N22/00 by transmitting the radiation through the material and forming images of the material
- G01N23/046—Investigating or analysing materials by the use of wave or particle radiation, e.g. X-rays or neutrons, not covered by groups G01N3/00 – G01N17/00, G01N21/00 or G01N22/00 by transmitting the radiation through the material and forming images of the material using tomography, e.g. computed tomography [CT]
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N33/00—Investigating or analysing materials by specific methods not covered by groups G01N1/00 - G01N31/00
- G01N33/24—Earth materials
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01V—GEOPHYSICS; GRAVITATIONAL MEASUREMENTS; DETECTING MASSES OR OBJECTS; TAGS
- G01V1/00—Seismology; Seismic or acoustic prospecting or detecting
- G01V1/28—Processing seismic data, e.g. for interpretation or for event detection
- G01V1/30—Analysis
- G01V1/306—Analysis for determining physical properties of the subsurface, e.g. impedance, porosity or attenuation profiles
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01V—GEOPHYSICS; GRAVITATIONAL MEASUREMENTS; DETECTING MASSES OR OBJECTS; TAGS
- G01V3/00—Electric or magnetic prospecting or detecting; Measuring magnetic field characteristics of the earth, e.g. declination, deviation
- G01V3/12—Electric or magnetic prospecting or detecting; Measuring magnetic field characteristics of the earth, e.g. declination, deviation operating with electromagnetic waves
Landscapes
- Life Sciences & Earth Sciences (AREA)
- Engineering & Computer Science (AREA)
- Physics & Mathematics (AREA)
- Remote Sensing (AREA)
- General Physics & Mathematics (AREA)
- Health & Medical Sciences (AREA)
- General Life Sciences & Earth Sciences (AREA)
- Chemical & Material Sciences (AREA)
- Geology (AREA)
- Environmental & Geological Engineering (AREA)
- Geophysics (AREA)
- General Health & Medical Sciences (AREA)
- Pathology (AREA)
- Biochemistry (AREA)
- Analytical Chemistry (AREA)
- Immunology (AREA)
- Radiology & Medical Imaging (AREA)
- Electromagnetism (AREA)
- Theoretical Computer Science (AREA)
- Pulmonology (AREA)
- Nuclear Medicine, Radiotherapy & Molecular Imaging (AREA)
- Acoustics & Sound (AREA)
- Food Science & Technology (AREA)
- Medicinal Chemistry (AREA)
- Geophysics And Detection Of Objects (AREA)
Abstract
The invention relates to a complex geological condition tunnel advanced geological comprehensive forecasting method, which comprises the following steps: judging whether a bad geological structure exists or not according to the physical performance parameters; if the three-dimensional tunnel geological generalized model exists, geometric modeling is carried out, and the three-dimensional tunnel geological generalized model is determined; carrying out advanced drilling layout on the tunnel face according to layout parameters; performing cross-hole CT scanning, in-hole geological radar detection and borehole imaging on the tunnel face with complete arrangement, and determining wave velocity distribution images, advanced borehole internal wave velocity images and image parameters; determining the detection data of the certificate according to the data consistency; determining supplementary detection data according to the wave velocity distribution image, the wave velocity map in the advanced drilling and the non-overlapping area of the image parameters; and determining the range of the position interval of the predicted bad geological structure according to the evidence detection data and the supplementary detection data. The invention adopts multi-means advanced geological detection, combines three information of seismic waves, electromagnetic waves and images, and effectively expands and verifies detection data.
Description
Technical Field
The invention relates to the technical field of tunnel detection, in particular to a comprehensive advanced geological forecasting method for a tunnel with complex geological conditions.
Background
At present, china obtains remarkable construction results, the material demand of each region is increased continuously, and the problems of insufficient highway transportation capacity and transportation cost can prevent the regional economy from developing. In southwest areas of China, the topography is complex, and in order to reduce the cost while protecting the environment, tunnels are adopted for mountain area construction, so tunnel engineering becomes an indispensable key item in engineering construction.
In the construction process of tunnel engineering, various complex geology conditions exist, and along with the occurrence of more and more water burst mud geological structures, the construction safety of the tunnel is strictly clamped. The time for finishing the tunnel has a vital control effect on the traffic time of the highway, the construction progress is sought once, the construction specification is violated, and when serious, geological disasters such as tunnel collapse or mud bursting and water flushing and the like can be caused, the construction progress is affected, and the personal safety is threatened. Therefore, before the tunnel is constructed, the tunnel is subjected to preconditions such as surveying and hydrologic investigation, however, due to the variability and complexity of geological structures, obvious differences exist between a surveying structure and an actual structure, the actual situation is not reflected, and effective conclusions are difficult to obtain through surveying on the geological problems existing in the construction engineering. While the uncertain geological conditions are often invisible "bombs" in construction, there is a high probability that significant damage will be caused to the project. Not only can the construction period be influenced, but also the engineering investment is improved; the equipment is more likely to be damaged, and the safety of constructors is threatened. Therefore, for tunnel construction, the geological forecast of the tunnel is controlled, and the geological condition in front of the tunnel is obtained through an effective detection means.
Specifically, in a complicated surrounding rock geological structure area in a mountain area, under the action of crustal movement, surrounding rock weathering, underground water and the like, the surrounding rock is easy to produce a gushing water geological disaster due to the structural characteristics of the surrounding rock. In the prior art, a highway tunnel is subjected to large-scale blind scanning or geological analysis by combining geology, but due to movement of the crust, underground water flows, so that geological structures are complicated, accurate geological information cannot be obtained in a wrong or single detection mode, along with the promotion of construction, the disturbance of a surrounding rock structure is carried out manually in the construction process, the originally unstable surrounding rock structure is unstable, so that a water-inrush geological disaster occurs, loss or damage occurs to people, materials, machines and the like in a construction site, the engineering construction period is prolonged, the passively reinforced engineering quantity of tunnel engineering is increased, and the risk of instability of the surrounding rock structure is caused. In summary, the prior art lacks accurate and comprehensive detection means in the construction process, so that the establishment of a comprehensive and accurate detection method for the advanced poor geological structure of the tunnel is particularly urgent.
Disclosure of Invention
In view of the foregoing, it is necessary to provide a comprehensive advanced geological prediction method for tunnels with complex geological conditions, so as to solve the problem of establishing a comprehensive and accurate advanced poor geological structure detection method for tunnels.
The invention provides a complex geological condition tunnel advanced geological comprehensive forecasting method, which comprises the following steps:
acquiring physical performance parameters of a tunnel region, and judging whether a bad geological structure exists or not according to the physical performance parameters;
if the tunnel exists, obtaining the structural terrain in the tunnel area, predicting the bad geological structure and engineering tunnel conditions;
geometric modeling is carried out according to the structural terrain, the predicted poor geological structure and the engineering tunnel condition, and a three-dimensional tunnel geological generalized model is determined;
determining layout parameters corresponding to the three-dimensional tunnel geological generalized model, and carrying out advanced drilling layout on tunnel faces according to the layout parameters to determine the fully laid tunnel faces;
performing cross-hole CT scanning, in-hole geological radar detection and borehole imaging on the tunnel face with the complete arrangement, and respectively determining wave velocity distribution images between two advanced boreholes, wave velocity maps in the advanced boreholes and image parameters of the evidence;
determining the detection data of the seal according to the data consistency of the wave velocity distribution image, the wave velocity diagram in the advanced drilling and the seal image parameters in the overlapping area;
determining supplementary detection data according to the wave velocity distribution image, the wave velocity map in the advanced drilling and the non-overlapping area of the image parameters of the verification;
determining a location interval range of the predicted poor geological structure according to the evidence detection data and the supplementary detection data;
and detecting according to the position interval range, determining an actual poor geological structure, and planning a construction scheme through the actual poor geological structure.
Further, the layout parameters include at least one of a size of the tunnel face, a drilling position, a number of drilling holes, a drilling hole depth, a drilling angle, and a hole pitch.
Further, the determining the layout parameters corresponding to the three-dimensional tunnel geological generalized model includes: and setting the layout parameters according to the boundary data and the detection requirements of the three-dimensional tunnel geological generalized model so as to lay out a plurality of advanced drilling holes.
Further, the boundary data includes a three-dimensional spatial dimension of the three-dimensional tunnel geological generalized model, an arrangement spatial structure test layout, and a spatial relationship of each test instrument with respect to each other.
Further, performing cross-hole CT scanning, in-hole geological radar detection and borehole imaging on the tunnel face with complete layout, and respectively determining wave velocity distribution images between two advanced boreholes, wave velocity maps in the advanced boreholes and image parameters for verification includes:
exciting seismic waves to perform cross-hole CT between every two advanced drilling holes of the tunnel face;
and determining the wave velocity distribution image between every two advanced drilling holes according to the first arrival travel time information of the seismic waves.
Further, performing cross-hole CT scanning, in-hole geological radar detection and borehole imaging on the tunnel face with complete layout, and respectively determining wave velocity distribution images between two advanced boreholes, wave velocity maps in the advanced boreholes and image parameters for verification includes:
transmitting a pulse electromagnetic wave signal to the front of the tunnel face, wherein when the pulse electromagnetic wave signal meets a detection target, a corresponding reflection signal is generated;
and determining the wave velocity diagram in the advanced drilling corresponding to the advanced drilling according to the reflected signal.
Further, performing cross-hole CT scanning, in-hole geological radar detection and borehole imaging on the tunnel face with complete layout, and respectively determining wave velocity distribution images between two advanced boreholes, wave velocity maps in the advanced boreholes and image parameters for verification includes:
sequentially carrying out drilling and shooting on the advanced drilling of the tunnel face, and determining corresponding in-hole shooting parameters;
determining rock parameters of surrounding rocks in front of the tunnel face and parameters of surrounding rock construction zones according to the in-hole photographing parameters;
and determining the image parameters of the evidence according to the lithology parameters of the front surrounding rock and the parameters of the surrounding rock construction zone.
Further, the determining the signature detection data according to the data consistency of the wave velocity distribution image, the wave velocity map in the advanced drilling and the signature image parameters in the overlapping area comprises:
forming corresponding vertical plane detection information and horizontal plane detection information according to the wave velocity distribution image and the overlapping area of the wave velocity image in the advanced drilling;
judging whether the detection information is consistent with the vertical detection information and the horizontal detection information or not according to the detection information in the image parameters of the evidence in the overlapped area;
and if the vertical plane detection information and the horizontal plane detection information are consistent, the vertical plane detection information and the horizontal plane detection information are the proof detection data.
Further, the determining supplementary probe data from the wave velocity distribution image, the wave velocity map in the advanced borehole, and the non-overlapping region of the signature image parameters includes:
if the wave velocity distribution image exists in the non-overlapping area, the corresponding wave velocity distribution image forms the supplementary detection data;
if the advanced borehole wave velocity map exists in the non-overlapping area, the corresponding advanced borehole wave velocity map forms the supplementary detection data;
and if the advance borehole wave velocity map exists in the non-overlapping area, the corresponding verification image parameters form the supplementary detection data.
Further, the determining the location interval range of the predicted undesirable geologic structure from the proof detection data and the supplemental detection data comprises:
and carrying out geological reverse reasoning in front of the tunnel face in a numerical reverse calculation mode according to the evidence detection data and the supplementary detection data, and determining the position interval range.
Compared with the prior art, the invention has the beneficial effects that: firstly, effectively acquiring structural topography, predicting bad geological structures and engineering tunnel conditions; then, combining multiple factors to build a three-dimensional tunnel geological generalization model so as to reflect the basic characteristics of the tunnel; furthermore, based on a three-dimensional tunnel geological generalization model, setting layout parameters, and primarily determining advanced drilling layout of a tunnel face; then, on the tunnel face with the drill holes, carrying out multi-means advanced geological detection, utilizing various detection methods, combining seismic wave information, radar information and image information to realize mutual verification of data and obtain more accurate geological features, thereby carrying out detection data supplementation through data of a non-overlapping region, carrying out data verification through data of an overlapping region, realizing expansion of a detection range, and simultaneously realizing accurate prediction of a position interval range of a bad geological structure; and finally, detecting according to the range of the position interval, and determining the actual bad geological structure, so that the whole construction scheme is planned, and the tunnel excavation stability meets the engineering requirement. In summary, the invention considers the physical and mechanical parameter changes of rock and soil before and after engineering excavation, performs geological exploration on a tunnel construction area before excavation, fully analyzes the structure of the initial state of the rock and soil in the area, avoids the great reduction of the rock and soil strength caused by deformation and softening of surrounding rock of the tunnel after excavation, adopts multi-means advanced geological detection, combines three aspects of information of earthquake waves, electromagnetic waves and images, realizes the expansion of the detection range, improves the data precision, effectively reduces the tunnel construction risk, analyzes surrounding rock geological strips at multiple angles, avoids sudden geological disasters in the excavation of the tunnel, endangers the safety, and reduces the construction risk and loss.
Drawings
FIG. 1 is a schematic flow chart of a complex geological condition tunnel advanced geological comprehensive forecasting method provided by the invention;
FIG. 2 is a flow chart of the seismic wave detection method provided by the invention;
FIG. 3 is a side view of a vertical plane CT unit provided by the present invention;
FIG. 4 is a schematic flow chart of a radar detection method according to the present invention;
FIG. 5 is a schematic layout diagram of tunnel face provided by the present invention;
FIG. 6 is a schematic diagram of the present invention for providing an in-hole address radar;
FIG. 7 is a schematic diagram of a borehole camera shooting process provided by the invention;
fig. 8 is a schematic flow chart of determining the proof detection data provided by the invention.
Detailed Description
Preferred embodiments of the present invention will now be described in detail with reference to the accompanying drawings, which form a part hereof, and together with the description serve to explain the principles of the invention, and are not intended to limit the scope of the invention.
Example 1
The embodiment of the invention provides a complex geological condition tunnel advanced geological comprehensive forecasting method, and in combination with fig. 1, fig. 1 is a flow chart of the complex geological condition tunnel advanced geological comprehensive forecasting method provided by the invention, and the complex geological condition tunnel advanced geological comprehensive forecasting method comprises steps S1 to S9:
in step S1, physical performance parameters of a tunnel region are obtained, and whether a bad geological structure exists or not is judged according to the physical performance parameters;
in step S2, if the tunnel exists, obtaining the structural terrain in the tunnel region, predicting the bad geological structure and engineering tunnel conditions;
in step S3, geometric modeling is carried out according to structural terrain, predicted bad geological structures and engineering tunnel conditions, and a three-dimensional tunnel geological generalized model is determined;
in step S4, determining layout parameters corresponding to the three-dimensional tunnel geological generalized model, and carrying out advanced drilling layout on tunnel faces according to the layout parameters to determine the fully laid tunnel faces;
in the step S5, cross-hole CT scanning, in-hole geological radar detection and borehole imaging are carried out on the tunnel face with complete arrangement, and wave velocity distribution images, in-hole wave velocity images and image parameters of the verification between two advanced boreholes are respectively determined;
in step S6, according to the data consistency of the wave velocity distribution image, the wave velocity diagram in the advanced drilling and the parameters of the image in the overlapping area, determining the detection data of the verification;
in step S7, supplementary detection data are determined according to the wave velocity distribution image, the wave velocity map in the advanced drilling and the non-overlapping area of the image parameters of the verification;
in step S8, a location interval range of the predicted poor geological structure is determined according to the evidence detection data and the supplementary detection data;
in step S9, detection is performed according to the range of the location intervals, an actual poor geological structure is determined, and a construction scheme is planned through the actual poor geological structure.
In the embodiment of the invention, firstly, structural topography, predicted bad geological structure and engineering tunnel conditions are effectively obtained; then, combining multiple factors to build a three-dimensional tunnel geological generalization model so as to reflect the basic characteristics of the tunnel; furthermore, based on a three-dimensional tunnel geological generalization model, setting layout parameters, and primarily determining advanced drilling layout of a tunnel face; then, on the tunnel face with the drill holes, carrying out multi-means advanced geological detection, utilizing various detection methods, combining seismic wave information, radar information and image information to realize mutual verification of data and obtain more accurate geological features, thereby carrying out detection data supplementation through data of a non-overlapping region, carrying out data verification through data of an overlapping region, realizing expansion of a detection range, and simultaneously realizing accurate prediction of a position interval range of a predicted bad geological structure; and finally, detecting according to the range of the position interval, and determining the actual bad geological structure, so that the whole construction scheme is planned, and the tunnel excavation stability meets the engineering requirement.
It should be noted that, taking advanced detection of the front of the face of the water burst section of the entrance of the nine-roof mountain tunnel as an example, the structural topography is judged as follows: carrying out geological investigation of a tunnel construction area and summarizing lithology analysis of water burst sections (ZK281+850-ZK281+975, KK281+860-KK282+160) of the tunnel of the Jiuding mountain: the surrounding rock grade of the area is V1 grade. The rock is mainly an invading rock consisting of gray limestone, and is broken and corroded by multiple weathered limestone, and is penetrated with full weathered granite, and the rock mass is in a broken and loose structure; therefore, the stability of the surrounding rock of the structure of the tunnel is extremely poor when the tunnel is excavated, collapse or softening of the structural contact zone occurs frequently along with construction, so that when the underground water rises sharply in a rainy season, larger water gushes and collapse of the tunnel can be caused, and the water enrichment of the surrounding rock structure is better due to development of surrounding rock cracks, so that the construction risk in the rainy season is extremely high. The ground water in the (ground water) tunnel area is fourth series pore water type and bedrock fissure water and carbonate karst water type, the fourth series pore water is mostly reserved in the fourth series loose soil body, mostly appears in a diving form, and the water quantity is very small; the carbonate karst water and the bedrock fracture water are reserved in the polar karst fracture of the joint fracture of the rock stratum, and the water quantity is not large. Groundwater is mainly supplemented by atmospheric precipitation and infiltration of surrounding surface water, and is collected and excreted in the valley low-lying areas in the manner of underground runoff. (surface water) groundwater was exposed in a spring point type in a pit of 2800m altitude below the highest mountain top of a nine-roof mountain tunnel and 2600m altitude below the high mountain top.
Preferably, in step S1, geological investigation is performed on the surrounding rock structure in the tunnel site selection area before tunnel excavation, and summary analysis is performed on the lithology in the area, so as to obtain relevant physical performance parameters of the surrounding rock structure in the tunnel area, including: physical and mechanical parameters of the rock and soil in an initial state and physical and mechanical parameters of the rock and soil after deformation and softening, wherein the physical and mechanical parameters comprise volume weight, cohesive force, internal friction angle, tensile strength, elastic modulus and poisson ratio. If a surrounding rock structure in the area has a geological structure with larger hidden trouble, if a surrounding rock structure breaking belt, a structure water-rich area, a weak surrounding rock and other bad geological structures appear, the multi-means advanced detection method for the water-rich karst tunnel provided by the invention is adopted to continue detection, and if the surrounding rock structure does not exist, the conventional method is adopted to detect.
Preferably, in step S1, the predicted poor geological structure is predicted by performing an experiment on a geotechnical sample of the tunnel of the potentially poor geological structure to obtain a geotechnical physical and mechanical parameter, wherein the experiment includes at least one of a ring cutter experiment, a triaxial experiment, a direct shear experiment, a brazilian split experiment, and a uniaxial compression experiment. As a specific embodiment, the embodiment of the invention firstly pre-judges the whole tunnel area and preliminarily obtains the predicted poor geological structure.
Preferably, the layout parameters include at least one of a size of tunnel face, a drilling position, a number of drilling holes, a drilling hole depth, a drilling angle, and a hole pitch. As a specific embodiment, the layout parameters are set so that subsequent drilling holes can be laid out. It can be appreciated that the layout parameters also include, but are not limited to, the dimensions of the three-dimensional tunnel geological generalization model, the tunnel face dimensions, and the locations of the holes drilled on the tunnel face of the tunnel model, so that the effective hole drilling layout can be performed in combination with the tunnel face.
Preferably, step S4 specifically includes: and setting layout parameters according to boundary data and detection requirements of the three-dimensional tunnel geological generalized model so as to lay out a plurality of advanced drilling holes. As a specific embodiment, the embodiment of the invention effectively lays out the advanced drilling holes according to the boundary conditions and detection requirements of the three-dimensional tunnel geological generalized model.
Preferably, the boundary data includes a three-dimensional spatial dimension of the three-dimensional tunnel geological generalized model, an arrangement spatial structure test layout, and a spatial relationship of the test instruments to each other. As a specific embodiment, the method and the device for determining the distribution position range of the tunnel face in the three-dimensional tunnel are combined with boundary data of a three-dimensional tunnel geological generalized model.
Preferably, as seen in conjunction with fig. 2, fig. 2 is a schematic flow chart of the seismic wave detection method provided by the present invention, and step S5 includes steps S51 to S52, wherein:
in step S51, exciting seismic waves to perform cross-hole CT between every two advanced boreholes of the tunnel face;
in step S52, a wave velocity distribution image between each two advanced boreholes is determined based on the first arrival travel time information of the seismic waves.
As a specific embodiment, the embodiment of the invention acquires the geological information between two measuring holes on the face by exciting the form of the seismic wave and combining the characteristics of the seismic wave, and develops multi-means advanced geological detection.
It should be noted that the on-site seismic wave detection system comprises two parts, namely hardware and software. The system hardware comprises a ZDF-3 type electric spark seismic source, an integrated high-sensitivity detector, a 24-bit computer, 8 independent channel portable computers and the like. The software comprises two parts of CT tomography and geology expert. Referring to fig. 3, fig. 3 is a schematic diagram of a vertical plane CT unit according to the present invention, a cross-hole CT is performed in a hole measurement of a face, a cross-hole CT test is performed in both sides of the face, geological information between two holes of the face is obtained by exciting a form of seismic waves according to characteristics of the geological information that can be carried by the seismic waves, the seismic waves CT invert substances by seismic wave data, obtain geological information between two holes of the face according to characteristics of the geological information that can be carried by the seismic waves by exciting a form of seismic waves, and perform a hierarchical analysis to draw a geological formation image, and a structure of the stratum is further estimated according to the obtained distribution map. In the detection process, firstly, the time file of the seismic wave in the structure between two measuring holes is obtained through HSP detection, and the first arrival time t of the seismic wave is read through software interpretation i Then solving a matrix equation to form a wave velocity distribution image of the seismic waves in the geologic body between two holes, and clearly observing the wave velocity distribution situation between the measuring holes according to the image.
Preferably, as seen in fig. 4, fig. 4 is a schematic flow chart of the radar detection method provided by the present invention, and step S5 includes steps S53 to S54, where:
in step S53, a pulse electromagnetic wave signal is emitted to the front of the tunnel face, wherein when the pulse electromagnetic wave signal encounters the detection target, a corresponding reflected signal is generated;
in step S54, a wave velocity map in the advanced borehole corresponding to the advanced borehole is determined according to the reflected signal.
As a specific embodiment, the embodiment of the invention acquires the geological information in the hole on the face by combining the characteristics of radar signals through a radar detection method so as to develop multi-means advanced geological detection.
It should be noted that, referring to fig. 5 and 6, fig. 5 is a schematic layout diagram of a tunnel face provided by the present invention, and fig. 6 is a schematic diagram of an in-hole address radar provided by the present invention, in which, no. 1 to No. 4 represent different advanced drilling holes, in-hole geological radar detection is sequentially performed in the drilling holes laid on the face, and the geological radar detects underground medium distribution by using ultra-high frequency electromagnetic waves, and its basic principle is that a transmitter transmits pulse electromagnetic wave signals with a center frequency of 12.5M to 1200M and a pulse width of 0.1ns through a transmitting antenna. When this signal encounters a target in the formation, a reflected signal is generated. The direct signal and the reflected signal are input to the receiver through the receiving antenna, amplified and displayed by the oscilloscope. Whether a detected target exists or not can be judged according to whether the oscilloscope has a reflection flood number or not; estimating surrounding rock structures around the measuring hole according to the arrival lag time of the reflected signals and the average reflected wave velocity of the target object and a wave velocity diagram generated by the test; in the detection process of the geological radar in the hole, specific detection parameters are adjusted according to the detection range, wherein the detection range is 20m, the detection rate adopts point measurement, the gain is 35, and the upper limit parameter and the lower limit parameter of the filter are 100-1000MHz; the aperture size of the measuring hole on the face can be a preset value, and the preset value can be 300mm; the depth of the drilled holes on the face is determined according to the space position between the poor geological structure and the face, the drilling direction can be properly adjusted according to the geological region to be detected, the hole spacing comprehensively considers the detection range of the geological radar in the holes, the geological radar detection data on the horizontal plane and the detection data system and analysis of the cross-hole CT in the vertical direction are realized, mutual verification is needed, and mutual complementation and extension are realized.
Preferably, as seen in fig. 7, fig. 7 is a schematic flow chart of the borehole imaging provided by the present invention, and step S5 includes steps S55 to S57, wherein:
in step S55, drilling and shooting are sequentially performed on the advanced drilling of the tunnel face, and corresponding in-hole shooting parameters are determined;
in step S56, according to the in-hole photographing parameters, determining the rock character parameters of surrounding rocks in front of the tunnel face and the parameters of the surrounding rock structural zone;
in step S57, the certification image parameters are determined from the front surrounding rock lithology parameters and the surrounding rock formation zone parameters.
As a specific embodiment, the embodiment of the invention acquires the geological information in front of the face by exciting drilling and shooting and combining the characteristics of the images in the holes so as to develop multi-means advanced geological detection and effectively verify.
Preferably, as seen in conjunction with fig. 8, fig. 8 is a schematic flow chart of determining the license detection data provided by the present invention, and step S6 includes steps S61 to S63, wherein:
in step S61, corresponding vertical plane detection information and horizontal plane detection information are formed according to the wave velocity distribution image and the overlapping area of the wave velocity diagram in the advanced drilling;
in step S62, it is determined whether the detection information is identical to the vertical-plane detection information and the horizontal-plane detection information, respectively, based on the detection information in the document image parameters in the overlapping region;
if the vertical plane detection information and the horizontal plane detection information are identical in step S63, the vertical plane detection information and the horizontal plane detection information are the proof detection data.
As a specific embodiment, the embodiment of the invention combines wave velocity distribution images, wave velocity images in advanced drilling and image parameters of a printed image to mutually supplement and print so as to determine accurate detection data and position a range of a position interval.
Preferably, step S7 specifically includes:
if the wave velocity distribution image exists in the non-overlapping area, the corresponding wave velocity distribution image forms supplementary detection data;
if the advanced borehole internal wave velocity map exists in the non-overlapping area, the corresponding advanced borehole internal wave velocity map forms supplementary detection data;
if the advance borehole wave velocity map exists in the non-overlapping region, the corresponding verification image parameters form supplementary detection data.
As a specific embodiment, the embodiment of the invention integrates three detection means comprising three types of earthquake waves, electromagnetic waves and images including cross-hole CT, in-hole geological radar and borehole imaging in a non-overlapping area, effectively supplements detection data, considers the change of physical and mechanical parameters of rock and soil before and after engineering excavation, and ensures the richness of the detection data.
Preferably, the step S8 specifically includes: and carrying out geological reverse reasoning in front of the tunnel face in a numerical reverse calculation mode according to the verification detection data and the supplementary detection data, and determining a position interval range. As a specific embodiment, the embodiment of the invention combines the verification detection data and the supplementary detection data, and obtains the position interval range of the bad geological structure through numerical back calculation, thereby realizing accurate detection.
Example 2
The embodiment of the invention provides a complex geological condition tunnel advanced geological comprehensive forecasting device which comprises a processor and a memory, wherein a computer program is stored in the memory, and when the computer program is executed by the processor, the complex geological condition tunnel advanced geological comprehensive forecasting method is realized.
The invention discloses a complex geological condition tunnel advanced geological comprehensive forecasting method, which comprises the steps of firstly, effectively acquiring structural topography, forecasting bad geological structures and engineering tunnel conditions; then, combining multiple factors to build a three-dimensional tunnel geological generalization model so as to reflect the basic characteristics of the tunnel; furthermore, based on a three-dimensional tunnel geological generalization model, setting layout parameters, and primarily determining advanced drilling layout of a tunnel face; then, on the tunnel face with the drill holes, carrying out multi-means advanced geological detection, utilizing various detection methods, combining seismic wave information, radar information and image information to realize mutual verification of data and obtain more accurate geological features, thereby carrying out detection data supplementation through data of a non-overlapping region, carrying out data verification through data of an overlapping region, realizing expansion of a detection range, and simultaneously realizing accurate prediction of a position interval range of a bad geological structure; and finally, detecting according to the range of the position interval, and determining the actual bad geological structure, so that the whole construction scheme is planned, and the tunnel excavation stability meets the engineering requirement.
According to the technical scheme, the change of physical and mechanical parameters of rock and soil before and after engineering excavation is considered, geological exploration is carried out on a tunnel construction area before excavation, the structure of the initial state of the rock and soil in the area is fully analyzed, the serious reduction of the rock and soil strength caused by deformation and softening of surrounding rock of the tunnel after excavation is avoided, multi-means advanced geological detection is adopted, and three aspects of information of earthquake waves, electromagnetic waves and images are combined, so that the detection range is enlarged, the data precision is improved, the tunnel construction risk is effectively reduced, surrounding rock geological strips are analyzed at multiple angles, sudden geological disasters in the excavation of the tunnel are avoided, the safety is endangered, and the construction risk and loss are reduced.
The present invention is not limited to the above-mentioned embodiments, and any changes or substitutions that can be easily understood by those skilled in the art within the technical scope of the present invention are intended to be included in the scope of the present invention.
Claims (5)
1. The advanced geological comprehensive forecasting method for the tunnel with the complex geological condition is characterized by comprising the following steps of:
acquiring physical performance parameters of a tunnel region, and judging whether a bad geological structure exists or not according to the physical performance parameters;
if the tunnel exists, obtaining the structural terrain in the tunnel area, predicting the bad geological structure and engineering tunnel conditions;
geometric modeling is carried out according to the structural terrain, the predicted poor geological structure and the engineering tunnel condition, and a three-dimensional tunnel geological generalized model is determined;
determining layout parameters corresponding to the three-dimensional tunnel geological generalized model, and carrying out advanced drilling layout on tunnel faces according to the layout parameters to determine the fully laid tunnel faces;
performing cross-hole CT scanning, in-hole geological radar detection and borehole imaging on the tunnel face with the complete arrangement, and respectively determining wave velocity distribution images between two advanced boreholes, wave velocity maps in the advanced boreholes and image parameters of the evidence;
the steps of performing cross-hole CT scanning, in-hole geological radar detection and borehole imaging on the tunnel face with complete arrangement, and respectively determining wave velocity distribution images between two advanced boreholes, wave velocity maps in the advanced boreholes and image parameters for verification comprise:
exciting seismic waves to perform cross-hole CT between every two advanced drilling holes of the tunnel face;
determining a wave velocity distribution image between every two advanced drilling holes according to the first arrival travel time information of the seismic waves;
transmitting a pulse electromagnetic wave signal to the front of the tunnel face, wherein when the pulse electromagnetic wave signal meets a detection target, a corresponding reflection signal is generated;
determining an advanced drilling internal wave velocity map corresponding to the advanced drilling according to the reflected signal;
sequentially carrying out drilling and shooting on the advanced drilling of the tunnel face, and determining corresponding in-hole shooting parameters;
determining rock parameters of surrounding rocks in front of the tunnel face and parameters of surrounding rock construction zones according to the in-hole photographing parameters;
determining the image parameters of the evidence according to the lithology parameters of the front surrounding rock and the parameters of the surrounding rock construction zone;
determining the detection data of the seal according to the data consistency of the wave velocity distribution image, the wave velocity diagram in the advanced drilling and the seal image parameters in the overlapping area; and determining the signature detection data according to the data consistency of the wave velocity distribution image, the wave velocity diagram in the advanced drilling and the signature image parameters in the overlapping area, wherein the determining comprises the following steps:
forming corresponding vertical plane detection information and horizontal plane detection information according to the wave velocity distribution image and the overlapping area of the wave velocity image in the advanced drilling;
judging whether the detection information is consistent with the vertical detection information and the horizontal detection information or not according to the detection information in the image parameters of the evidence in the overlapped area;
if the vertical plane detection information and the horizontal plane detection information are consistent, the vertical plane detection information and the horizontal plane detection information are the evidence detection data;
determining supplementary detection data according to the wave velocity distribution image, the wave velocity map in the advanced drilling and the non-overlapping area of the image parameters of the verification; the determining supplementary probe data from the wave velocity distribution image, the advance borehole internal wave velocity map and the non-overlapping region of the signature image parameters includes:
if the wave velocity distribution image exists in the non-overlapping area, the corresponding wave velocity distribution image forms the supplementary detection data;
if the advanced borehole wave velocity map exists in the non-overlapping area, the corresponding advanced borehole wave velocity map forms the supplementary detection data;
if the verification image parameters exist in the non-overlapping area, the corresponding verification image parameters form the supplementary detection data;
determining a location interval range of the predicted poor geological structure according to the evidence detection data and the supplementary detection data;
and detecting according to the position interval range, determining an actual poor geological structure, and planning a construction scheme through the actual poor geological structure.
2. The advanced geological complex prediction method of a tunnel with complex geological conditions according to claim 1, wherein the layout parameters comprise at least one of the size, the drilling position, the number of holes, the depth of holes, the angle of holes and the distance between holes of the tunnel face.
3. The advanced geological comprehensive forecasting method of the tunnel with complex geological conditions according to claim 1, wherein the determining layout parameters corresponding to the three-dimensional tunnel geological generalized model comprises: and setting the layout parameters according to the boundary data and the detection requirements of the three-dimensional tunnel geological generalized model so as to lay out a plurality of advanced drilling holes.
4. The advanced geological complex prediction method of the tunnel with complex geological conditions according to claim 3, wherein the boundary data comprises three-dimensional space dimensions of the three-dimensional tunnel geological generalized model, an arrangement space structure test layout and a space relation among test instruments.
5. The advanced geological synthetic forecasting method of a complex geological condition tunnel according to claim 1, wherein said determining a location interval range of said predicted bad geological structure according to said proof detection data and said supplementary detection data comprises:
and carrying out geological reverse reasoning in front of the tunnel face in a numerical reverse calculation mode according to the evidence detection data and the supplementary detection data, and determining the position interval range.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202110166033.3A CN112965139B (en) | 2021-02-05 | 2021-02-05 | Advanced geological comprehensive forecasting method for tunnel with complex geological condition |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202110166033.3A CN112965139B (en) | 2021-02-05 | 2021-02-05 | Advanced geological comprehensive forecasting method for tunnel with complex geological condition |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN112965139A CN112965139A (en) | 2021-06-15 |
| CN112965139B true CN112965139B (en) | 2024-03-22 |
Family
ID=76274926
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202110166033.3A Active CN112965139B (en) | 2021-02-05 | 2021-02-05 | Advanced geological comprehensive forecasting method for tunnel with complex geological condition |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN112965139B (en) |
Families Citing this family (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN114019137B (en) * | 2021-10-09 | 2022-12-16 | 河海大学 | Tunnel engineering water-rich disaster-causing structure hydrogeological parameter inversion test system and method |
| CN115061201A (en) * | 2022-06-09 | 2022-09-16 | 腾达建设集团股份有限公司 | Advanced shield tunnel geological prediction method |
Citations (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103744129A (en) * | 2014-01-07 | 2014-04-23 | 山东大学 | Tunnel construction large-scale integrated geophysics advanced detection model test device |
| CN108802824A (en) * | 2018-06-15 | 2018-11-13 | 山东大学 | A kind of physical analog test apparatus and method for geophysical exploration |
Family Cites Families (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US9500077B2 (en) * | 2014-01-07 | 2016-11-22 | Shandong University | Comprehensive advanced geological detection system carried on tunnel boring machine |
-
2021
- 2021-02-05 CN CN202110166033.3A patent/CN112965139B/en active Active
Patent Citations (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103744129A (en) * | 2014-01-07 | 2014-04-23 | 山东大学 | Tunnel construction large-scale integrated geophysics advanced detection model test device |
| CN108802824A (en) * | 2018-06-15 | 2018-11-13 | 山东大学 | A kind of physical analog test apparatus and method for geophysical exploration |
Non-Patent Citations (5)
| Title |
|---|
| 强富水地层隧道含水构造 精细预报技术研究;王路 等;铁道科学与工程学报;第14卷(第12期);2660-2669 * |
| 综合探测技术在隧道超前地质预报中的应用;覃晖 等;现代隧道技术(第S2期);681-686 * |
| 综合超前地质预报在岩溶隧道中的应用;冯义;筑路机械与施工机械化;第34卷(第12期);121-126 * |
| 综合超前地质预报技术在麻窝隧道中的应用;张晓波;;低碳世界(第28期);224-226 * |
| 隧道综合超前地质预报技术及其工程应用;周轮 等;山东大学学报(工学版);第47卷(第02期);55-62 * |
Also Published As
| Publication number | Publication date |
|---|---|
| CN112965139A (en) | 2021-06-15 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN112965136B (en) | Multi-means advanced detection method for water-rich karst tunnel | |
| Ghosh et al. | Application of underground microseismic monitoring for ground failure and secure longwall coal mining operation: a case study in an Indian mine | |
| Zhou et al. | Seepage channel development in the crown pillar: Insights from induced microseismicity | |
| Singh et al. | Tunnelling in weak rocks | |
| CN102495434A (en) | Advanced geological prediction method for underground engineering | |
| CN112485823B (en) | High-efficiency comprehensive advanced geological prediction method | |
| Yertutanol et al. | Displacement monitoring, displacement verification and stability assessment of the critical sections of the Konak tunnel, İzmir, Turkey | |
| CN112965139B (en) | Advanced geological comprehensive forecasting method for tunnel with complex geological condition | |
| Xu et al. | Evaluation of MASW techniques to image steeply dipping cavities in laterally inhomogeneous terrain | |
| Hanson et al. | Advanced techniques in site characterization and mining hazard detection for the underground coal industry | |
| Eberhardt et al. | Geotechnical instrumentation | |
| Pilecki et al. | Identification of buried historical mineshaft using ground-penetrating radar | |
| Becerra et al. | The 2014 earthquake in Iquique, Chile: Comparison between local soil conditions and observed damage in the cities of Iquique and Alto Hospicio | |
| Karagkounis et al. | Geology and geotechnical evaluation of Doha rock formations | |
| Kushwaha et al. | Stability evaluation of old and unapproachable underground mine workings below surface structures | |
| Durrheim et al. | Establishment of SATREPS experimental sites in South African gold mines to monitor phenomena associated with earthquake nucleation and rupture | |
| Osasan | Open-cast mine slope deformation and failure mechanisms interpreted from slope radar monitoring | |
| Wang et al. | In situ stress measurement method of deep borehole based on multi-array ultrasonic scanning technology | |
| McClymont et al. | Geophysical applications to construction engineering projects | |
| Hanson et al. | Seismic tomography applied to site characterization | |
| JP5330662B2 (en) | Geological structure survey system and method | |
| Conroy et al. | Borehole tomography and surface 3D radar for coal mine subsidence detection | |
| Simser et al. | The Value of Recording Small Mining Induced Microseismic Events with Examples from Glencore’s Nickel Rim South Mine | |
| Aminzadeh et al. | Geophysics in drilling | |
| Kirk | Handbook of geophysical cavity-locating techniques with emphasis on electrical resistivity |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |