A method, device and storage medium for identifying karst caves based on shield tunneling parameters

Abstract

The present invention discloses a method for identifying caves based on shield tunneling parameters, including: classifying rock formations according to rock formation information and cave detection information of rock formations traversed by shield construction, determining cave identification indicators through the working principle of earth pressure balance shield machine, soil mechanics theory, historical shield tunneling parameters, and dimensionless analysis, determining the rock formation integrity and cave type corresponding to the obtained shield tunneling parameters, and constructing a cave identification system. The present invention also discloses equipment and storage media based on the above method. The identification method of the present invention is easy to operate, cost-effective, can accurately determine geological features and cave types, ensures the accuracy of stratum information, and can determine tunneling parameters and shield postures suitable for current geological conditions for shield construction, effectively improving construction efficiency and safety.

Description

Technical Field

[0001] The present invention relates to the field of geotechnical engineering technology, and in particular to a method, equipment and storage medium for identifying a karst cave based on shield tunneling parameters. Background Art

[0002] In shield tunnel construction, especially when encountering karst formations, engineering teams often face complex challenges caused by geological uncertainties. The characteristics of caves in karst areas are usually difficult to predict, including their exact location and size. These uncertain factors may cause serious problems such as mud and water inrush, lining structure damage and shield machine failure, resulting in major economic and safety risks. Although detailed karst surveys and pretreatment measures are usually carried out before construction, due to the complexity of karst characteristics, traditional survey methods are difficult to fully detect all potential caves, and unforeseen obstacles may still be encountered during construction.

[0003] At present, the identification of karst caves during shield tunneling usually relies on advance drilling and geological prediction. Although advance drilling can discover potential geological problems to a certain extent, it requires the suspension of shield machine operations, which not only increases construction time but also reduces construction efficiency. Although geological prediction technology has gradually become popular in shield applications, its accuracy and reliability still need to be further verified. Other geological identification indicators that use shield tunneling parameters cannot identify the type of karst caves and can only make a rough judgment on whether there are karst caves ahead. The limitations of these technologies indicate that there is still room for improvement in the current karst cave identification methods, and more efficient and economical new methods are urgently needed to ensure construction safety and efficiency. Summary of the invention

[0004] The technical problem to be solved by the embodiments of the present invention is to provide a method, device and storage medium for identifying karst caves based on shield tunneling parameters, so as to solve the technical problem that it is difficult to accurately predict and identify karst caves in karst strata in the prior art, especially in shield tunnel construction, which often leads to engineering risks due to the uncertainty of the location and size of karst caves. Through the method of the present invention, karst caves can be identified and located more accurately, and shield operators can be guided to adjust the tunneling parameters of the shield machine, thereby improving construction efficiency and safety.

[0005] In order to solve the above technical problems, in a first aspect, an embodiment of the present invention provides a method for identifying a karst cave based on shield tunneling parameters, comprising the following steps:

[0006] S1: According to the geological survey results, determine the karst development section during shield tunneling, obtain the rock formation information and cave detection information of the rock formation passed by the shield construction, and classify the rock formation;

[0007] S2: Obtain the historical shield tunneling parameters of the shield machine and construct cave identification indicators;

[0008] S3: Determine the integrity of the rock formation corresponding to the obtained shield tunneling parameters according to the cave identification index and the rock formation category;

[0009] S4: Using the cave identification index, further determine the rock fracture zone and cave type corresponding to the measured shield tunneling parameters.

[0010] Furthermore, the geological survey results in S1 include determining the type of strata, the distribution of strata, and the physical and mechanical parameters of strata.

[0011] Furthermore, the method for determining the karst development section during shield tunneling in S1 includes determining the development range of the karst cave in the tunnel site according to the detection results of the transient electromagnetic method.

[0012] Furthermore, the method for classifying rock formations in S1 includes:

[0013] According to the geological survey results and the transient electromagnetic detection results, the rock formations are preliminarily classified according to the karst fissure development rate, and the classification criteria are as follows:

[0014] (I) level: 0%~25%;

[0015] (II) level: 25%~50%;

[0016] (III) Grade: 50%~75%;

[0017] Level (IV): 75%~100%.

[0018] Furthermore, the formula for constructing the cave identification index in S2 is:

[0019] ,

[0020] Among them, KCII is an unweighted and dimensionless cave identification index, P represents the soil pressure in the soil bin, CRS represents the cutterhead speed, F represents the shield thrust, Ve represents the soil bin volume, and AR represents the advancement speed.

[0021] Furthermore, the method for determining the integrity of the rock formation corresponding to the obtained shield tunneling parameters in S3 includes:

[0022] According to the calculation results of the cave identification index and the rock formation type classification results, the upper and lower limits of the calculation results of the cave identification index corresponding to the complete rock formation interval are taken as the rock formation interval;

[0023] If the calculated value of the cave identification index is within the rock formation interval, the corresponding formation type is a complete rock formation. If the calculated value of the cave identification index is outside the rock formation interval, the corresponding formation type is an incomplete rock formation.

[0024] Furthermore, the method for further determining the rock fracture zone and cave type corresponding to the measured shield tunneling parameters in S4 includes:

[0025] According to the rock formation category, the calculation results of the cave identification index are divided into four levels by percentage to determine the rock fracture zone and cave type:

[0026] (I) Level: 0%~25%, complete rock formation and rock fracture zone;

[0027] (II) Level: 25%~50%, fully filled caves;

[0028] (III) Level: 50%~75%, partially filled caves;

[0029] (IV) Grade: 75%~100%, cavitation;

[0030] Based on the integrity of the rock formation, the complete rock formation and rock fracture zone included in the cave identification index (I) level are distinguished.

[0031] In a second aspect, an embodiment of the present invention provides an electronic device, including a memory and a processor, wherein the memory stores a computer program, and wherein the processor executes the computer program to implement the above-mentioned cave identification method based on shield tunneling parameters.

[0032] In a third aspect, a computer-readable storage medium is provided, characterized in that the computer-readable storage medium includes a stored computer program, wherein when the computer program is running, the device where the computer-readable storage medium is located is controlled to execute the above-mentioned cave identification method based on shield excavation parameters.

[0033] The implementation of the embodiments of the present invention has the following beneficial effects: the present invention classifies rock formations according to the rock formation information and cave detection information of the rock formations traversed by the shield construction, determines the cave identification index through the working principle of the earth pressure balance shield machine, soil mechanics theory, historical shield tunneling parameters, and dimensionless analysis, determines the rock formation integrity and cave type corresponding to the obtained shield tunneling parameters, and constructs a cave identification system. This allows shield operators to effectively identify the geological type and its strength based on the optimal weighted geological feature identification index, and provide accurate geological information. In addition, the method is easy to operate, cost-effective, and can qualitatively and quantitatively determine the rock formation feature category and cave identification index, ensure the accuracy of the stratum information, thereby providing shield construction with tunneling parameters suitable for the current geological conditions, and significantly improving construction efficiency and safety. BRIEF DESCRIPTION OF THE DRAWINGS

[0034] Figure 1 is a schematic flow chart of the method of the present invention;

[0035] Figure 2 It is a schematic diagram of the principle of cave identification index of the method of the present invention;

[0036] Figure 3 It is a comparison diagram of the actual stratigraphic profile of the method of the present invention and the cave identification index KCII;

[0037] Figure 4 It is a comparison diagram of the karst fissure development rate and the cave identification index KCII of the method of the present invention.

[0038] Among them, 1 is the surface water level, 2 is the cutter head, 3 is the propulsion jack, 4 is the propulsion hydraulic system, 5 is the soil bin, 6 is the screw conveyor belt, P s is the earth pressure, P w is the water pressure, v i is the amount of soil entering the soil bin, v 0 is the amount of excavation by the screw machine, and KCII is the cave identification index. DETAILED DESCRIPTION

[0039] In order to make the objectives, technical solutions and advantages of the present invention more clear, the present invention will be further described in detail below with reference to the accompanying drawings.

[0040] Reference Figure 1 , according to an embodiment of the first aspect of the present invention, a schematic flow chart of a cave identification method based on shield tunneling parameters.

[0041] A method for identifying a karst cave based on shield tunneling parameters according to an embodiment of the present invention is implemented by the following method.

[0042] Step (1): according to the geological survey results, determine the karst development section during the shield tunneling process, obtain the rock formation information and cave detection information of the rock formation traversed by the shield construction, and classify the rock formation.

[0043] Specifically: geological survey needs to determine the type of strata, the distribution of strata, the physical and mechanical parameters of strata, and determine the scope of cave development in the tunnel site and classify the rock types based on the test results of geophysical exploration methods such as transient electromagnetic method.

[0044] According to the geological survey report and transient electromagnetic detection results, stratigraphic information was statistically analyzed, actual stratigraphic profiles were drawn, and rock formations were preliminarily classified according to the karst fissure development rate. The specific classification standards are as follows: (I) level: 0%~25%; (II) level: 25%~50%; (III) level: 50%~75%; (IV) level: 75%~100%.

[0045] Step (2), obtaining the historical shield tunneling parameters of the shield machine and constructing the cave identification index.

[0046] Combination Figure 2 As shown, in this embodiment, the shield tunneling parameters of the shield machine include: soil pressure P in the soil bin, cutter head speed CRS, shield thrust F, soil bin volume V e , advancing speed AR.

[0047] The shield tunneling parameters are selected as the parameters collected once per minute and the average parameters of one ring of shield machine tunneling.

[0048] Step (3), determining the integrity of the rock formation corresponding to the obtained shield tunneling parameters based on the cave identification index and the rock formation category.

[0049] In this embodiment, according to the calculation results of the karst cave identification index and the rock formation type classification results, the upper and lower limits of the calculation results of the karst cave identification index corresponding to the complete rock formation interval are taken as the rock formation interval;

[0050] If the calculated value of the cave identification index is within the rock formation interval, the corresponding formation type is a complete rock formation. If the calculated value of the cave identification index is outside the rock formation interval, the corresponding formation type is an incomplete rock formation.

[0051] Step (4), using the cave identification index, further determining the rock fracture zone and cave type corresponding to the measured shield tunneling parameters.

[0052] In the above embodiment, the calculation results of the karst cave identification index and the degree of karst fissure development are divided into four levels according to percentage to determine the rock mass fracture zone and karst cave type:

[0053] (I) Level: 0%~25%, complete rock formation and rock fracture zone;

[0054] (II) Level: 25%~50%, fully filled caves;

[0055] (III) Level: 50%~75%, partially filled caves;

[0056] (IV) Grade: 75%~100%, cavitation.

[0057] Based on the rock formation integrity determined in step (3), the intact rock formation and rock mass fracture zone included in the cave identification index (I) level are distinguished.

[0058] Finally, according to the above method, it is possible to identify: complete rock formations, rock fracture zones, fully filled caves, partially filled caves and cavities.

[0059] Reference Figure 3 and Figure 4In some embodiments of the first aspect of the present invention, taking a shield tunnel as an example, an earth pressure balance shield is used for construction, the shield machine cutter head diameter is 6.44m, and the soil bin volume is about 30 cubic meters. The shield machine mainly passes through two types of rock formations: medium-weathered limestone and diorite, as well as three types of formation conditions: caves, intact rock formations, and rock mass fracture zones. Among them, the caves are subdivided into empty caves, partially filled caves, and fully filled caves. Using the cave identification method based on shield tunneling parameters of the present invention, it can be known that:

[0060] Collect soil layer information of shield construction and draw it into Figure 3 The schematic diagram of the stratigraphic section shown in (a) is shown in Figure 1. According to the degree of development of karst fissures:

[0061] (I) level: 0%~25%;

[0062] (II) level: 25%~50%;

[0063] (III) Grade: 50%~75%;

[0064] Level (IV): 75%~100%.

[0065] Divide the above into Figure 4 (a) Four categories.

[0066] The shield tunneling parameters of the shield machine include: soil pressure P in the soil bin, cutter head speed CRS, shield thrust F, soil bin volume V e , the advancement speed AR. The average data in the time period of 1.2m distance of excavation ring 1 is selected for identification, so as to obtain the overall geological characteristics in this time period.

[0067] Establish and calculate the cave identification index KCII:

[0068] .

[0069] Among them, KCII is a weightless and dimensionless cave identification index, P represents the soil pressure in the soil bin, CRS represents the cutterhead speed, F represents the shield thrust, V e It is expressed as the volume of the soil bin, and AR is expressed as the advancing speed.

[0070] Reference Figure 3 As shown in (b), in this embodiment, the KCII value corresponding to the complete rock formation is 0.1233~0.163, that is, the rock formation corresponding to the calculated value interval of the karst cave identification index in the shield section within [0.1233~0.163] is a complete rock formation.

[0071] Reference Figure 4 As shown in (b), the calculated value of the cave identification index KCII is divided into four categories according to the percentage of karst fissure development rate.

[0072] In this embodiment: [0~0.35) is level (I), complete rock layer and rock fracture zone; [0.35~0.70) is level (II), fully filled cave; [0.70~1.05) is level (III), partially filled cave; [1.05~1.40) is level (I), empty cave.

[0073] Combination Figure 3 The integrity of the rock formation divided in (b) is further divided Figure 4 Level (I) in (b): [0~0.1233) is the rock fracture zone; [0.1233~0.163] is the complete rock layer; (0.163~0.35) is the rock fracture zone.

[0074] Through the above method, the karst cave type and rock fracture zone of the tunnel can be qualitatively and quantitatively determined, the accuracy of the stratum information can be guaranteed, and the shield excavation parameters suitable for the corresponding stratum can be determined, thereby improving the efficiency and safety of shield construction.

[0075] According to a second embodiment of the present invention, an electronic device includes:

[0076] A memory for computer programs; a processor for executing the computer programs stored in the memory. When the processor executes the program stored in the memory, the processor is used to execute a method for identifying caves based on shield tunneling parameters as described in an embodiment of the first aspect of the present invention.

[0077] The processor and the memory may be connected via a bus or other means.

[0078] The memory, as a non-transient computer-readable storage medium, can be used to store non-transient software programs and non-transient computer executable programs, such as a method for identifying caves based on shield tunneling parameters described in an embodiment of the present invention. The processor implements a method for identifying caves based on shield tunneling parameters in an embodiment of the first aspect of the present invention by running the non-transient software programs and instructions stored in the memory.

[0079] The memory may include a program storage area and a parameter storage area, wherein the program storage area may store an operating system and application programs required for at least one function; the parameter storage area may store and execute the above-mentioned cave identification method based on shield tunneling parameters. In addition, the memory may include a high-speed random access memory, and may also include a non-transient memory, such as at least one disk storage device, a flash memory device, or other non-transient solid-state storage device. In some embodiments, the memory may optionally include a memory remotely arranged relative to the processor, and these remote memories may be connected to the processor via a network. Examples of the above-mentioned network include, but are not limited to, the Internet, an intranet, a local area network, a mobile communication network, and combinations thereof.

[0080] An embodiment of the third aspect of the present invention is a computer-readable storage medium, characterized in that it includes: a computer program stored therein, the computer program being used to be executed by a processor such as a method for identifying caves based on shield tunneling parameters according to the first aspect of the present invention.

[0081] The non-transient software program and instructions required to implement the above-mentioned terminal selection method are stored in the memory, and when executed by one or more processors, they are executed in the first cave identification method based on shield tunneling parameters of the present invention.

[0082] It will be appreciated by those skilled in the art that all or some of the methods disclosed above, the system can be implemented as software, firmware, hardware and appropriate combinations thereof. Some physical components or all physical components can be implemented as software executed by a processor, such as a central processing unit, a digital signal processor or a microprocessor, or implemented as hardware, or implemented as an integrated circuit, such as an application-specific integrated circuit. Such software can be distributed on a computer-readable medium, and the computer-readable medium can include a computer storage medium (or a non-transitory medium) and a communication medium (or a temporary medium). As known to those skilled in the art, the term computer storage medium includes volatile and non-volatile, removable and non-removable media implemented in any method or technology for storing information (such as computer-readable instructions, data structures, program modules or other data). Computer storage media include, but are not limited to, RAM, ROM, EEPROM, flash memory or other memory technology, CDROM, digital versatile disk (DVD) or other optical disk storage, magnetic cassettes, magnetic tapes, disk storage or other magnetic storage devices, or any other medium that can be used to store desired information and can be accessed by a computer. Furthermore, it is well known to those skilled in the art that communication media typically embodies computer readable instructions, data structures, program modules, or other data in a modulated data signal such as a carrier wave or other transport mechanism, and may include any information delivery media.

[0083] The above disclosure is only a preferred embodiment of the present invention, which certainly cannot be used to limit the scope of the present invention. Therefore, equivalent changes made according to the claims of the present invention are still within the scope of the present invention.

Claims

1. A method for identifying karst caves based on shield tunneling parameters, characterized in that: The following steps are involved: S1: According to the geological survey results, determine the karst development section during shield tunneling, obtain the rock formation information and cave detection information of the rock formation passed by the shield construction, and classify the rock formation; S2: Obtain the shield tunneling parameters of the shield machine history and construct a karst cave identification index; the formula of the karst cave identification index is: ， Among them, KCII is a weightless and dimensionless cave identification index, P represents the soil pressure in the soil bin, CRS represents the cutterhead speed, F represents the shield thrust, Ve represents the soil bin volume, and AR represents the advancement speed; S3: Determine the integrity of the rock formation corresponding to the obtained shield tunneling parameters according to the cave identification index and the rock formation category; S4: Using the cave identification index, further determine the rock fracture zone and cave type corresponding to the measured shield tunneling parameters.

2. The method for identifying karst caves based on shield tunneling parameters according to claim 1, characterized in that: The geological survey results in S1 include the determination of stratum types, stratum distribution, and physical and mechanical parameters of strata.

3. The method for identifying karst caves based on shield tunneling parameters according to claim 2, characterized in that: The method for determining the karst development section during shield tunneling in S1 includes determining the development range of the karst cave in the tunnel site according to the detection results of the transient electromagnetic method.

4. The method for identifying karst caves based on shield tunneling parameters according to claim 3 is characterized in that: The method for classifying rock formations in S1 includes: According to the geological survey results and the transient electromagnetic detection results, the rock formations are preliminarily classified according to the karst fissure development rate, and the classification criteria are as follows: (I) level: 0%~25%; (II) Grade: 25%~50%; (III) Grade: 50%~75%; Level (IV): 75%~100%.

5. The method for identifying karst caves based on shield tunneling parameters according to claim 1, characterized in that: The method for determining the integrity of the rock formation corresponding to the obtained shield tunneling parameters in S3 includes: According to the calculation results of the cave identification index and the rock formation type classification results, the upper and lower limits of the calculation results of the cave identification index corresponding to the complete rock formation interval are taken as the rock formation interval; If the calculated value of the cave identification index is within the rock formation interval, the corresponding formation type is a complete rock formation. If the calculated value of the cave identification index is outside the rock formation interval, the corresponding formation type is an incomplete rock formation.

6. The method for identifying karst caves based on shield tunneling parameters according to claim 5, characterized in that: The method for further determining the rock fracture zone and cave type corresponding to the measured shield tunneling parameters in S4 includes: According to the rock formation category, the calculation results of the cave identification index are divided into four levels by percentage to determine the rock fracture zone and cave type: (I) Level: 0%~25%, complete rock formation and rock fracture zone; (II) Level: 25%~50%, fully filled caves; (III) Level: 50%~75%, partially filled caves; (IV) Grade: 75%~100%, cavitation; Based on the integrity of the rock formation, the complete rock formation and rock fracture zone included in the cave identification index (I) level are distinguished.

7. An electronic device comprising a memory and a processor, wherein the memory stores a computer program, wherein: The processor executes the computer program to implement the method for identifying caves based on shield tunneling parameters as described in any one of claims 1 to 6.

8. A computer-readable storage medium, characterized in that: The computer-readable storage medium includes a stored computer program, wherein when the computer program is executed, the device where the computer-readable storage medium is located is controlled to execute the cave identification method based on shield tunneling parameters as described in any one of claims 1 to 6.

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