Prediction method and device for deformation of existing tunnel caused by overpass tunnel excavation
By constructing stress model and deformation prediction model, combining the information of new tunnels and existing tunnels, the problem of the neglected impact of upper span tunnel excavation on existing tunnel deformation is solved, the prediction accuracy and economy are improved, equipment dependence is reduced, and response capabilities are improved.
Patent Information
- Application Number
- CN202510193796.5
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- Filing Date
- 2025-02-21
- Publication Date
- 2025-08-15
- Estimated Expiration
- 2045-02-21
AI Technical Summary
In the prior art, the impact of the excavation of the upper span tunnel on the vertical deformation of the existing tunnel below is easily overlooked. The traditional monitoring method relies on high equipment costs and low prediction accuracy, making it difficult to fully reflect the deformation state of the tunnel.
By integrating the newly built tunnel information, existing tunnel information and soil information, constructing a stress model, determining the unloading pressure information, and using the deformation prediction model to predict vertical deformation results, considering the impact of unloading pressure on existing tunnels, and reducing dependence on monitoring equipment.
The accuracy of longitudinal deformation prediction of existing tunnels is improved, equipment maintenance costs are reduced, predictive intervention in tunnel excavation is achieved, and deformation response capabilities are improved.
Smart Images

Figure CN119692068B_ABST
Abstract
Description
Technical Field
[0001] The present invention relates to the technical field of tunnel engineering, and in particular to a method and device for predicting deformation of an existing tunnel caused by excavation of an overpass tunnel. Background Art
[0002] The construction of a new tunnel inevitably disturbs the surrounding soil, causing stress redistribution in the surrounding strata and uneven settlement or uplift of the existing tunnel. Existing tunnels can also experience deformation and additional stress due to new tunnel construction. If this additional stress is excessive, exceeding the original design standards, it can affect the structural safety of the existing tunnel and pose a potential safety hazard. Related technologies integrate sensors, data collectors, and data analysis technologies into monitoring systems to achieve real-time monitoring and prediction of tunnel vertical displacement.
[0003] However, overpass tunnels are relatively rare in existing projects, which makes it easy to ignore the impact of overpass tunnels on the vertical deformation of the existing tunnel below during excavation; traditional monitoring methods rely too much on monitoring equipment, which has high equipment costs, and the limited point monitoring information obtained by the monitoring equipment cannot fully reflect the deformation status of the entire tunnel; traditional model predictions easily ignore relevant important information, resulting in low prediction accuracy. Summary of the Invention
[0004] In view of the above problems, the present invention provides a method, device, equipment, medium and program product for predicting deformation of an existing tunnel caused by excavation of an overpass tunnel.
[0005] According to a first aspect of the present invention, a method for predicting deformation of an existing tunnel caused by over-tunnel excavation is provided, comprising: obtaining new tunnel information, soil information corresponding to the new tunnel, existing tunnel information and tunnel relationship information, wherein the tunnel relationship information includes angle information, distance relationship information and conversion information between the new tunnel and the existing tunnel; constructing a stress model based on the soil information, the existing tunnel information, the new tunnel information and the tunnel relationship information, and using the stress model to determine unloading pressure information generated by the excavation of the new tunnel on the existing tunnel; determining vertical deformation results corresponding to multiple points in the existing tunnel based on the unloading pressure information, entity information of the equivalent entity, the existing tunnel information and the deformation prediction model, wherein the equivalent entity represents an entity constructed based on the existing tunnel and the soil corresponding to the existing tunnel.
[0006] The second aspect of the present invention provides a prediction device for deformation of an existing tunnel caused by excavation of an overpass tunnel, comprising an information acquisition module for acquiring new tunnel information, soil information corresponding to the new tunnel, existing tunnel information and tunnel relationship information, wherein the tunnel relationship information includes angle information, distance relationship information and conversion information between the new tunnel and the existing tunnel; a stress model construction module for constructing a stress model based on soil information, existing tunnel information, new tunnel information and tunnel relationship information, and using the stress model to determine the unloading pressure information generated by the excavation of the new tunnel on the existing tunnel; a vertical deformation result determination module for determining the vertical deformation results corresponding to multiple points in the existing tunnel based on the unloading pressure information, entity information of the equivalent entity, existing tunnel information and the deformation prediction model, wherein the equivalent entity represents an entity constructed based on the existing tunnel and the soil corresponding to the existing tunnel.
[0007] A third aspect of the present invention provides an electronic device, comprising: one or more processors; a memory for storing one or more computer programs, wherein the one or more processors execute the one or more computer programs to implement the steps of the above method.
[0008] The fourth aspect of the present invention further provides a computer-readable storage medium having a computer program or instructions stored thereon, which implements the steps of the above method when the computer program or instructions are executed by a processor.
[0009] The fifth aspect of the present invention further provides a computer program product, comprising a computer program or instructions, which implement the steps of the above method when executed by a processor.
[0010] According to the prediction method, device, equipment, medium and program product for deformation of an existing tunnel caused by excavation of an upper tunnel provided by an embodiment of the present invention, a stress model is constructed by integrating information of the newly built tunnel, information of the existing tunnel, information of the surrounding soil and information on the relationship between the existing tunnel and the newly built tunnel. Multiple types of information complement each other, which helps to avoid monitoring errors caused by traditional monitoring methods that only rely on limited point information. Since the stress model takes into account the unloading pressure generated by the excavation of the newly built tunnel above on the existing tunnel below, the defect of ignoring the unloading pressure in the prediction of the traditional model is avoided, and the prediction accuracy of the longitudinal deformation of the existing tunnel is improved; by using the prediction model to predict deformation, the long-term dependence on monitoring equipment can be reduced, the equipment maintenance cost can be reduced, and the economy of the prediction method can be improved. Predictive intervention can be made in tunnel excavation based on the real-time predicted vertical deformation results, further improving the ability of the existing tunnel to cope with deformation during the excavation of the newly built tunnel. BRIEF DESCRIPTION OF THE DRAWINGS
[0011] The above contents and other objects, features and advantages of the present invention will become more apparent through the following description of the embodiments of the present invention with reference to the accompanying drawings, in which:
[0012] Figure 1 A diagram illustrating an application scenario of a method, apparatus, device, medium, and program product for predicting deformation of an existing tunnel caused by overpass tunnel excavation according to an embodiment of the present invention is shown.
[0013] Figure 2 A flow chart of a method for predicting deformation of an existing tunnel caused by overpass tunnel excavation according to an embodiment of the present invention is shown.
[0014] Figure 3 A schematic cross-sectional view of the arrangement of monitoring points in an existing tunnel according to an embodiment of the present invention is shown.
[0015] Figure 4 A schematic plan view showing the relationship between a newly-built tunnel and an existing tunnel according to an embodiment of the present invention is shown.
[0016] Figure 5 A schematic diagram showing the vertical deformation result of an existing tunnel predicted based on a deformation prediction model according to an embodiment of the present invention is shown.
[0017] Figure 6 A structural block diagram of a device for predicting deformation of an existing tunnel caused by overpass tunnel excavation according to an embodiment of the present invention is shown.
[0018] Figure 7 A block diagram of an electronic device suitable for implementing a method for predicting deformation of an existing tunnel caused by overpass tunnel excavation according to an embodiment of the present invention is shown. DETAILED DESCRIPTION
[0019] Hereinafter, embodiments of the present invention will be described with reference to the accompanying drawings. However, it should be understood that these descriptions are exemplary only and are not intended to limit the scope of the present invention. In the following detailed description, for ease of explanation, many specific details are set forth to provide a comprehensive understanding of embodiments of the present invention. However, it is apparent that one or more embodiments may also be implemented without these specific details. In addition, in the following description, descriptions of known structures and technologies are omitted to avoid unnecessary confusion of the concept of the present invention.
[0020] The terms used herein are only for describing specific embodiments and are not intended to limit the present invention. The terms "comprise", "include", etc. used herein indicate the presence of the features, steps, operations and / or components, but do not exclude the presence or addition of one or more other features, steps, operations or components.
[0021] All terms used herein (including technical and scientific terms) have the meanings commonly understood by those skilled in the art unless otherwise defined. It should be noted that the terms used herein should be interpreted as having a meaning consistent with the context of this specification and should not be interpreted in an idealized or overly rigid manner.
[0022] When expressions such as "at least one of A, B, and C, etc." are used, they should generally be interpreted in accordance with the meaning commonly understood by those skilled in the art (for example, "a system having at least one of A, B, and C" should include but is not limited to a system having A alone, B alone, C alone, A and B, A and C, B and C, and / or A, B, C, etc.).
[0023] Overpass tunnels are relatively rare in existing projects, which makes it easy to overlook the impact of overpass tunnels on the vertical deformation of the existing tunnel below during excavation; traditional monitoring methods rely too much on monitoring equipment, which is costly, and the limited point monitoring information obtained by the monitoring equipment cannot fully reflect the deformation status of the entire tunnel; traditional model predictions easily ignore relevant important information, resulting in low prediction accuracy.
[0024] In view of this, the present invention constructs a stress model by integrating the information of the newly built tunnel, the information of the existing tunnel, the surrounding soil information and the relationship information between the existing tunnel and the newly built tunnel. The multiple information complements each other, which helps to avoid the monitoring errors caused by the traditional monitoring method that only relies on limited point information. Since the stress model takes into account the unloading pressure generated by the excavation of the newly built tunnel above on the existing tunnel below, it avoids the defect of ignoring the unloading pressure in the traditional model prediction, and improves the prediction accuracy of the longitudinal deformation of the existing tunnel; by using the prediction model to predict deformation, it can reduce the long-term dependence on monitoring equipment, reduce equipment maintenance costs, and improve the economy of the prediction method. Based on the real-time predicted vertical deformation results, predictive intervention can be made in tunnel excavation, further improving the ability of the existing tunnel to cope with deformation during the excavation of the newly built tunnel.
[0025] Embodiments of the present invention provide a method, apparatus, device, medium, and program product for predicting deformation of an existing tunnel caused by over-tunnel excavation. The prediction method includes: obtaining new tunnel information, soil information corresponding to the new tunnel, existing tunnel information, and tunnel relationship information, wherein the tunnel relationship information includes angle information, distance relationship information, and conversion information between the new tunnel and the existing tunnel; constructing a stress model based on the soil information, existing tunnel information, new tunnel information, and tunnel relationship information to determine the unloading pressure information generated by the new tunnel excavation on the existing tunnel; and determining vertical deformation results corresponding to multiple points in the existing tunnel based on the unloading pressure information, entity information of an equivalent entity, existing tunnel information, and a deformation prediction model, wherein the equivalent entity represents an entity constructed based on the existing tunnel and the soil corresponding to the existing tunnel.
[0026] Figure 1 A diagram illustrating an application scenario of a method, apparatus, device, medium, and program product for predicting deformation of an existing tunnel caused by overpass tunnel excavation according to an embodiment of the present invention is shown.
[0027] like Figure 1 As shown, the application scenario according to this embodiment may include a first terminal device 101, a second terminal device 102, a third terminal device 103, a network 104, a server 105, and a data acquisition device 106. The network 104 is used as a medium for providing a communication link between the first terminal device 101, the second terminal device 102, the third terminal device 103, and the server 105. The network 104 may include various connection types, such as wired or wireless communication links or fiber optic cables.
[0028] The data acquisition equipment 106 may include various types of sensing devices (e.g., displacement meters) and soil information acquisition equipment (e.g., soil consolidation instruments and drilling equipment). The sensing devices can be used to detect deformation and displacement information during the excavation of a new tunnel, and the soil information acquisition equipment can be used to obtain soil information corresponding to the soil surrounding the new tunnel and existing tunnels. It will be appreciated that the data acquisition equipment may also include data acquisition equipment that reads or identifies existing tunnels from blueprints, such as automated equipment that utilizes computer programming techniques to parse and process tunnel blueprints. The data acquisition equipment 106 may communicate with the server 105 via the network 104 to transmit the acquired data to the server 105 for processing.
[0029] A user may use a first terminal device 101, a second terminal device 102, or a third terminal device 103 to interact with a server 105 via a network 104 to receive or send messages, etc. Various communication client applications may be installed on the first terminal device 101, the second terminal device 102, or the third terminal device 103, such as shopping applications, web browser applications, search applications, instant messaging tools, email clients, social platform software, etc. (for example only).
[0030] The first terminal device 101 , the second terminal device 102 , and the third terminal device 103 may be various electronic devices having display screens and supporting web browsing, including but not limited to smart phones, tablet computers, laptop computers, desktop computers, and the like.
[0031] The server 105 may be a server that provides various services, such as a background management server (for example only) that supports websites browsed by users using the first terminal device 101, the second terminal device 102, and the third terminal device 103. The background management server may analyze and process received data such as user requests, and feed back processing results (e.g., web pages, information, or data obtained or generated based on user requests) to the terminal devices.
[0032] It should be noted that the prediction method for deformation of an existing tunnel caused by overpass tunnel excavation provided in the embodiment of the present invention can generally be executed by the server 105. Accordingly, the prediction device for deformation of an existing tunnel caused by overpass tunnel excavation provided in the embodiment of the present invention can generally be set in the server 105. The prediction method for deformation of an existing tunnel caused by overpass tunnel excavation provided in the embodiment of the present invention can also be executed by a server or server cluster that is different from the server 105 and can communicate with the first terminal device 101, the second terminal device 102, the third terminal device 103 and / or the server 105. Accordingly, the prediction device for deformation of an existing tunnel caused by overpass tunnel excavation provided in the embodiment of the present invention can also be set in a server or server cluster that is different from the server 105 and can communicate with the first terminal device 101, the second terminal device 102, the third terminal device 103 and / or the server 105.
[0033] It should be understood that Figure 1 The number of terminal devices, networks, data collection devices and servers in the embodiment is merely illustrative. Any number of terminal devices, networks, data collection devices and servers may be provided as required.
[0034] The following will be based on Figure 1 The scene described by Figures 2 to 5 A method for predicting deformation of an existing tunnel caused by excavation of an overpass tunnel according to an embodiment of the present invention is described in detail.
[0035] Figure 2 A flow chart of a method for predicting deformation of an existing tunnel caused by overpass tunnel excavation according to an embodiment of the present invention is shown.
[0036] like Figure 2 As shown, the method for predicting deformation of an existing tunnel caused by excavation of an overpass tunnel in this embodiment includes operations S210 to S230.
[0037] In operation S210, newly built tunnel information, soil information corresponding to the newly built tunnel, existing tunnel information, and tunnel relationship information are obtained, wherein the tunnel relationship information includes angle information, distance relationship information, and conversion information between the newly built tunnel and the existing tunnel.
[0038] In an embodiment of the present invention, a new tunnel is an excavated tunnel located above an existing tunnel. New tunnel information, soil information, and existing tunnel information can be acquired using data acquisition equipment. New tunnel information can include segment information for the new tunnel, equipment information for tunnel excavation equipment, and geometric information for the new tunnel. Existing tunnel information can include geometric information for the existing tunnel. Soil information can represent soil information surrounding the new tunnel and the existing tunnel.
[0039] In operation S220, a stress model is constructed based on soil information, existing tunnel information, new tunnel information, and tunnel relationship information, and unloading pressure information generated by excavation of the new tunnel on the existing tunnel is determined using the stress model.
[0040] In an embodiment of the present invention, the stress model can be used to predict the additional vertical unloading pressure (i.e., unloading pressure information) generated by the excavation of a new upper tunnel on an existing tunnel. It will be appreciated that the unloading pressure information can be comprehensively determined based on the unloading pressure values at multiple different monitoring points.
[0041] In operation S230, vertical deformation results corresponding to multiple points in the existing tunnel are determined based on the unloading pressure information, entity information of the equivalent entity, existing tunnel information, and a deformation prediction model, wherein the equivalent entity represents an entity constructed based on the existing tunnel and the soil corresponding to the existing tunnel.
[0042] In an embodiment of the present invention, equivalent solid information can be obtained by treating the existing tunnel located below and the soil within a preset range surrounding the existing tunnel as a single equivalent beam. The deformation prediction model can be used to predict the vertical deformation of any point in the existing tunnel under continuous unloading pressure during or after excavation of a new tunnel.
[0043] According to an embodiment of the present invention, a stress model is constructed by integrating information about the newly built tunnel, information about the existing tunnel, information about the surrounding soil, and information about the relationship between the existing tunnel and the newly built tunnel. Multiple types of information complement each other, which helps to avoid monitoring errors caused by traditional monitoring methods that only rely on limited point information. Since the stress model takes into account the unloading pressure generated by the excavation of the upper newly built tunnel on the existing tunnel below, it avoids the defect of ignoring the unloading pressure in the traditional model prediction, and improves the prediction accuracy of the longitudinal deformation of the existing tunnel; by using the prediction model to predict deformation, it can reduce long-term dependence on monitoring equipment, reduce equipment maintenance costs, and improve the economy of the prediction method. Based on the real-time predicted vertical deformation results, predictive intervention can be made in tunnel excavation, further improving the ability of the existing tunnel to cope with deformation during the excavation of the newly built tunnel.
[0044] According to an embodiment of the present invention, the newly-built tunnel information includes segment geometry information, segment weight information, equipment information and second distance information, the soil information includes soil weight information and strain information, the existing tunnel information includes first distance information, and the distance relationship information represents the shortest distance information between multiple target points in the newly-built tunnel and the intersection of the existing tunnel and the newly-built tunnel; a stress model is constructed based on the soil information, the existing tunnel information, the newly-built tunnel information and the tunnel relationship information to determine the unloading pressure information generated by the excavation of the newly-built tunnel on the existing tunnel, including: using the soil weight information, the equipment information, the segment geometry information, the segment weight information and the update parameters to determine the release load information, the release load information represents the difference between the unit excavation soil weight corresponding to the newly-built tunnel and the weight of the newly-built tunnel segment; a stress model is constructed based on the release load information, the strain information, the first distance information, the second distance information, the angle information, the distance relationship information and the conversion information; and the unloading pressure information is determined using the stress model.
[0045] In an embodiment of the present invention, a segment may represent a concrete segment of a newly constructed tunnel. The segment geometry information may include the segment outer diameter and the segment inner diameter, which may be denoted as R and R respectively. o and R i The equipment information can represent the shield machine information of the newly built tunnel, such as the outer diameter of the shield machine, which can be recorded as R. The segment weight information can represent the weight of the concrete segment, which can be recorded as γ t The released load information can represent the released load after the new tunnel is excavated. It is determined by the difference between the weight of the excavated soil per unit length of the new tunnel and the weight of the tunnel lining, which can be recorded as q. The second distance information can represent the buried depth of the axis of the new tunnel.
[0046] Figure 3 A schematic cross-sectional view of the arrangement of monitoring points in an existing tunnel according to an embodiment of the present invention is shown.
[0047] like Figure 3As shown, the new tunnel 301 can be a shield tunnel built above the existing tunnel 302. The construction of the new tunnel 301 disturbs the surrounding soil, causing stress redistribution in the surrounding strata and uneven settlement or uplift of the existing tunnel 302. This serves as the released load information q for the existing tunnel 302. Monitoring equipment 303, located at a predetermined distance above the existing tunnel, can collect vertical displacement information of the existing tunnel in real time. The distance from the ground surface to the axis 304 of the existing tunnel, i.e., the first distance information, can be denoted as z0. The buried depth of the axis of the new tunnel (the distance from the ground surface to the axis 305 of the new tunnel) can be denoted as h. The outer diameter of the shield machine for the new tunnel can be denoted as R, and the outer diameter of the existing tunnel can be denoted as D. Using a deformation prediction model, tunnel deformation results corresponding to multiple points in the existing tunnel can be determined in real time. The tunnel deformation results can be represented by a curve 306 composed of the vertical deformation results of multiple monitoring points.
[0048] In the embodiment of the present invention, the soil weight information can represent the weight of the excavated soil, which can be recorded as γ s The soil strain information can represent the Poisson's ratio of the soil and can be denoted as μ. The first distance information can represent the distance from the ground surface to the axis of the existing tunnel and can be denoted as z0. The multiple target points include a first point and a second point. The shortest distance information between the multiple target points and the intersection of the existing tunnel and the newly built tunnel can include a first distance value between the first point and the intersection of the existing tunnel and the newly built tunnel, and a second distance value between the second point and the intersection of the existing tunnel and the newly built tunnel.
[0049] In an embodiment of the present invention, the update parameter may represent an update coefficient corresponding to the initial release load information. The calculated release load information may be made more accurate by updating the parameter. The update parameter may be denoted as ρ, and the initial release load information may be denoted as q.
[0050] In an embodiment of the present invention, the angle information can represent the angle between the horizontal projection of the newly built tunnel and the existing tunnel, which can be denoted as α, and the value range of α can be 0° to 90°. The distance relationship information can include first distance relationship information and second distance relationship information. The first distance relationship information can represent the advancement distance information between the shield starting face and the intersection of the existing tunnel and the newly built tunnel, which is denoted as L1. The second distance relationship information can represent the advancement distance information between the excavation face of the tunnel and the intersection of the existing tunnel and the newly built tunnel, which is denoted as L2. The conversion information can be used to represent the conversion coefficient between the coordinate information of the existing tunnel and the coordinate information of the newly built tunnel. The conversion information can include a first conversion coefficient, and the first conversion coefficient includes multiple conversion sub-coefficients, which are denoted as R1 and R2 respectively.
[0051] For example, the stress model can be constructed using the following formula (1):
[0052] (1);
[0053] Among them, σ z (x') can represent the unloading pressure information generated by the excavation of the new tunnel on the existing tunnel, μ can represent the Poisson's ratio of the soil, ρ can represent the update parameter, z0 can represent the distance from the surface to the axis of the existing tunnel, q can represent the initial release load information after the excavation of the new tunnel, which can be determined by the difference between the weight of the excavated soil per unit length and the weight of the tunnel segment, h can represent the buried depth of the axis of the new tunnel, R o It can represent the outer diameter of the newly built tunnel segment, L1 can represent the advancement distance information from the shield starting surface to the intersection point, L2 can represent the advancement distance information from the excavation surface to the intersection point, dλ can represent the result obtained by differential calculation of λ, and dη can represent the result obtained by differential calculation of η.
[0054] According to embodiments of the present invention, considering that conventional techniques tend to overlook the impact of the overpass tunnel's excavation on the vertical deformation of the existing tunnel below, the present invention addresses this issue by using a stress model that comprehensively considers the redistribution of soil stress during the excavation of the new overpass tunnel and the impact of this stress change on the stress of the surrounding rock of the existing tunnel below, thereby more accurately simulating the actual stress environment of the existing tunnel. Through stress coupling analysis, the stress model effectively improves the accuracy of deformation prediction for existing tunnels, avoiding deviations in existing tunnel deformation predictions caused by ignoring stress interactions.
[0055] It can be understood that an example of how to determine the unloading pressure information has been described above, and an example of how to determine the release load information will be described below.
[0056] According to an embodiment of the present invention, release load information is determined using soil measurement information, equipment information, segment geometry information, segment weight information, and update parameters, including: determining initial release load information corresponding to the excavation of a new tunnel based on the soil measurement information, equipment information, segment geometry information, and segment weight information; and updating the initial release load information using the update parameters to obtain the release load information, wherein the update parameters are determined based on information about the existing tunnel.
[0057] In an embodiment of the present invention, the calculation method of the initial release load information q can be shown in the following formula (2):
[0058] (2);
[0059] Among them, γ s It can represent the weight of the excavated soil, R can represent the outer diameter of the shield machine of the newly built tunnel, γ t It can characterize the weight of concrete segments, Ri It can represent the inner diameter of the new tunnel segment, R o It can characterize the outer diameter of the segments of a newly built tunnel.
[0060] After the initial released load information q is determined, the initial released load information may be updated using the update parameter ρ to obtain released load information, namely ρ.q.
[0061] According to an embodiment of the present invention, the existing tunnel information further includes existing tunnel geometry information. The method further includes: determining a ratio between the first distance information and the existing tunnel geometry information; and determining an update parameter based on a difference between the ratio and a preset ratio threshold.
[0062] In an embodiment of the present invention, the existing tunnel geometry information may include the outer diameter of the existing tunnel, denoted as D. The preset ratio threshold may be determined based on actual conditions or relevant specifications, for example, 0.5. The update parameter may be determined based on the difference between the ratio and the preset ratio threshold. When the difference between the ratio and the preset ratio threshold is greater than 0, the first update parameter is used as the update parameter; when the difference between the ratio and the preset ratio threshold is less than or 0, the second update parameter is used as the update parameter. The determination of the update parameter ρ is shown in the following formula (3):
[0063] (3);
[0064] Among them, z0 can represent the distance from the ground surface to the existing tunnel axis, that is, the first distance information.
[0065] According to an embodiment of the present invention, taking into account that the released load will change as the construction progresses after the excavation of a new tunnel, the present invention flexibly determines different update parameters based on the actual engineering conditions by utilizing the difference between the ratio between the first distance information and the existing tunnel geometric information and a preset ratio threshold, thereby utilizing the update parameters to update the initial released load information. Through different update coefficients, the size and distribution of the released load can be dynamically adjusted, thereby more accurately reflecting the actual load changes on the existing tunnel.
[0066] According to an embodiment of the present invention, the conversion information includes a coordinate conversion relationship and a first conversion coefficient; the method also includes: determining the coordinate conversion relationship based on the angle between the horizontal projection of the existing tunnel and the horizontal projection of the newly built tunnel; and determining the first conversion coefficient using the angle, the coordinate conversion relationship, the first distance information, and the second distance information.
[0067] Figure 4 A schematic plan view showing the relationship between a newly-built tunnel and an existing tunnel according to an embodiment of the present invention is shown.
[0068] like Figure 4As shown, (λ, η) can be the coordinate information corresponding to the newly built tunnel 301, and (x, y) can be the coordinate information corresponding to the existing tunnel 302. L1 can represent the advancement distance information from the shield starting surface to the intersection point, and L2 can represent the advancement distance information from the excavation surface to the intersection point. o It can represent the outer diameter of the newly built tunnel 301, and α can represent the angle between the horizontal projections of the existing tunnel and the newly built tunnel.
[0069] In an embodiment of the present invention, a coordinate transformation relationship can represent the transformation relationship between the coordinate information of a newly constructed tunnel and the coordinate information of an existing tunnel, and can include a first transformation relationship and a second transformation relationship. The first coordinate transformation relationship, λ = x'sinα, and η can represent the second coordinate transformation relationship, η = x'cosα. The first transformation coefficient can include multiple sub-transformation coefficients based on the relationship between the second distance information and the first distance information, which can be denoted as R1 and R2. The determination method of R1 and R2 is shown in the following formulas (4)-(5):
[0070] (4);
[0071] (5);
[0072] Here, z0 can represent the first distance information, and h can represent the second distance information.
[0073] According to an embodiment of the present invention, by simplifying the transformation of the relationship between multiple independent variables (such as the first transformation relationship and the second transformation relationship, the first distance information and the second distance information) through multiple sub-transformation coefficients, challenges related to data distribution and intrinsic characteristics can be addressed, such as solving problems such as skewness, outliers and variable scalability, thereby improving model performance and computational efficiency.
[0074] According to an embodiment of the present invention, using a stress model to determine unloading pressure information includes: determining a reference point corresponding to the point, where the reference point is a plurality of associated points corresponding to the point; and using the stress model to determine reference unloading pressure information of the reference point.
[0075] In an embodiment of the present invention, the reference point can represent the related points associated with the point, which is a position parameter in the integral change process, and can be used to represent a certain position on the existing tunnel, denoted as ξ. The unloading effect of the reference point ξ can affect the displacement of the point x', denoted as dw(x'), and to calculate w(x'), the contribution information of all ξ within the length of the existing tunnel can be accumulated by integration to obtain the total displacement w(x') at the desired point x'. Referring to the stress model in the above formula (1), the reference unloading pressure information corresponding to the reference point can be obtained, denoted as σ z (ξ).
[0076] According to an embodiment of the present invention, the entity information includes the entity elastic modulus and the section inertia moment; based on the reference unloading pressure information, the entity information of the equivalent entity, the existing tunnel information and the deformation prediction model, the vertical deformation results corresponding to multiple points in the existing tunnel are obtained, including: constructing a deformation prediction model based on the reference point information, the reference unloading pressure information and the existing tunnel information; using the entity elastic modulus and the section inertia moment to determine the bending stiffness information corresponding to the equivalent entity; inputting the bending stiffness information, the second conversion coefficient and the foundation information into the deformation prediction model to obtain the vertical deformation result, wherein the foundation information represents the foundation bed coefficient of the existing tunnel.
[0077] In an embodiment of the present invention, after determining the reference unloading pressure information, the reference point information ξ and the reference unloading pressure information σ can be used to determine the reference unloading pressure information. z (ξ), the outer diameter D of the existing tunnel, the second conversion coefficient β and the point information x', a deformation prediction model is constructed. The deformation prediction model is described by the following formula (6):
[0078] (6);
[0079] Among them, w(x') can represent the vertical displacement of any point in the existing tunnel under the action of continuous unloading pressure, σ z (ξ) can represent the reference unloading pressure information, E can represent the elastic modulus of the equivalent beam (equivalent entity), and I is the section moment of inertia of the equivalent beam. (EI) eq It can characterize the bending stiffness information of the equivalent entity, (EI) eq =0.85EI.
[0080] According to an embodiment of the present invention, the soil information includes soil elastic modulus, and the foundation information is determined by the following operation: determining the foundation information using bending stiffness information, soil elastic modulus, strain information and existing tunnel geometry information.
[0081] In an embodiment of the present invention, the bending stiffness information can be calculated based on the product of the elastic modulus of the equivalent beam (equivalent entity) and the section moment of inertia of the equivalent beam, i.e., EI. After determining the bending stiffness information, the foundation bed coefficient of the existing tunnel can be determined based on the bending stiffness information, the outer diameter of the existing tunnel, the Young's modulus of the soil, and the Poisson's ratio of the soil. The foundation bed coefficient K is calculated as shown in the following formula (7):
[0082] (7);
[0083] in, It can represent the elastic modulus of the soil (Young's modulus of the soil), D can represent the outer diameter of the existing tunnel, and μ can represent the Poisson's ratio of the soil.
[0084] According to an embodiment of the present invention, the soil information further includes shear stiffness information, and the second conversion coefficient can be determined by the following operation: determining the second conversion coefficient using the shear stiffness information, foundation information, existing tunnel geometry information, and bending stiffness information.
[0085] The second conversion coefficient β can be expressed as follows:
[0086] (8);
[0087] Among them, K can represent the foundation bed coefficient of the existing tunnel, and G can represent the shear stiffness of the soil.
[0088] After the deformation prediction model is determined, the vertical displacement information (vertical deformation result) of the existing tunnel during the next excavation across the existing tunnel can be predicted based on the new tunnel information, soil information and existing tunnel information collected in real time by the data acquisition equipment.
[0089] Figure 5 A schematic diagram showing the vertical deformation result of an existing tunnel predicted based on a deformation prediction model according to an embodiment of the present invention is shown.
[0090] like Figure 5 As shown in Figure 1, in order to improve the prediction accuracy of the deformation prediction model, the relevant engineering information in Case 1 (new tunnel information, soil information, and existing tunnel information) can be used for verification. The vertical displacement information of the existing tunnel at the actual monitoring points obtained by the monitoring equipment in Case 1 is verified with the displacement curve of the vertical deformation result predicted by the deformation prediction model.
[0091] The unloading pressure information calculated based on the stress model is substituted into the deformation prediction model to predict the vertical deformation result of the existing tunnel during the next excavation across the existing tunnel. When the vertical deformation result is greater than the preset deformation threshold, an alarm can be issued to relevant personnel through the alarm unit of the deformation monitoring platform. Table 1 shows the relevant engineering information of Case 1 according to an embodiment of the present invention.
[0092] Table 1
[0093]
[0094] The maximum vertical displacement of the existing tunnel calculated based on the above engineering information The comparison results between the actual monitoring results of Case 1 are shown in Table 2 below. Table 2 shows the prediction accuracy of the deformation prediction model according to an embodiment of the present invention.
[0095] Table 2
[0096]
[0097] As can be seen from Table 2, the vertical deformation results predicted by the deformation prediction model of the present invention are highly accurate.
[0098] Based on the above-mentioned prediction method of deformation of existing tunnel caused by overpass tunnel excavation, the present invention also provides a prediction device of deformation of existing tunnel caused by overpass tunnel excavation. Figure 6 The device is described in detail.
[0099] Figure 6 A structural block diagram of a device for predicting deformation of an existing tunnel caused by overpass tunnel excavation according to an embodiment of the present invention is shown.
[0100] like Figure 6 As shown, the prediction device for deformation of an existing tunnel caused by overpass tunnel excavation in this embodiment includes an information acquisition module 610 , a stress model construction module 620 and a vertical deformation result determination module 630 .
[0101] Information acquisition module 610 is configured to acquire new tunnel information, soil information corresponding to the new tunnel, existing tunnel information, and tunnel relationship information. Tunnel relationship information includes angle information, distance relationship information, and conversion information between the new tunnel and existing tunnels. In one embodiment, information acquisition module 610 can be used to perform operation S210 described above and will not be further described here.
[0102] Stress model construction module 620 is configured to construct a stress model based on soil information, existing tunnel information, new tunnel information, and tunnel relationship information to determine the unloading stress information generated by excavation of the new tunnel on the existing tunnel. In one embodiment, stress model construction module 620 can be used to perform operation S220 described above and will not be further described here.
[0103] Vertical deformation result determination module 630 is configured to determine vertical deformation results corresponding to multiple points in the existing tunnel based on unloading pressure information, entity information of equivalent entities, existing tunnel information, and a deformation prediction model. The equivalent entity represents an entity constructed based on the existing tunnel and the soil corresponding to the existing tunnel. In one embodiment, vertical deformation result determination module 630 can be configured to perform operation S230 described above and will not be further described here.
[0104] According to an embodiment of the present invention, through the information acquisition module 610, the stress model construction module 620 and the vertical deformation result determination module 630 in the prediction device based on the deformation of the existing tunnel caused by the excavation of the upper tunnel, the stress model is constructed by integrating the new tunnel information, the existing tunnel information, the surrounding soil information and the relationship information between the existing tunnel and the new tunnel. The multiple information complements each other, which helps to avoid the monitoring errors caused by the traditional monitoring method that only relies on limited point information. Since the stress model takes into account the unloading pressure generated by the excavation of the upper new tunnel on the existing tunnel below, the defect of ignoring the unloading pressure in the traditional model prediction is avoided, and the prediction accuracy of the longitudinal deformation of the existing tunnel is improved; by using the prediction model to predict deformation, the long-term dependence on monitoring equipment can be reduced, the equipment maintenance cost can be reduced, and the economy of the prediction method can be improved. Based on the real-time predicted vertical deformation results, predictive intervention can be made in tunnel excavation, further improving the ability of the existing tunnel to cope with deformation during the excavation of the new tunnel.
[0105] According to an embodiment of the present invention, the newly constructed tunnel information includes segment geometry information, segment weight information, equipment information, and second distance information; the soil information includes soil weight information and strain information; the existing tunnel information includes first distance information; and the distance relationship information represents the shortest distance information between multiple target points in the newly constructed tunnel and the intersection of the existing tunnel and the newly constructed tunnel. The stress model construction module 620 includes: a release load information determination submodule, a stress model construction submodule, and an unloading pressure information determination submodule. The release load information determination submodule is configured to determine release load information using soil weight information, equipment information, segment geometry information, segment weight information, and update parameters. The release load information represents the difference between the unit excavation weight of the newly constructed tunnel and the weight of the newly constructed tunnel segments. The stress model construction submodule is configured to construct a stress model based on the release load information, strain information, first distance information, second distance information, angle information, distance relationship information, and conversion information. The unloading pressure information determination submodule is configured to determine unloading pressure information using the stress model.
[0106] According to an embodiment of the present invention, the release load information determination submodule includes: an initial release load information determination unit and an initial release load information update unit. The initial release load information determination unit is configured to determine initial release load information corresponding to the excavation of a new tunnel based on soil mass information, equipment information, segment geometry information, and segment mass information. The initial release load information update unit is configured to update the initial release load information using update parameters to obtain release load information, wherein the update parameters are determined based on information about the existing tunnel.
[0107] According to an embodiment of the present invention, the existing tunnel information also includes existing tunnel geometry information, and the apparatus further includes: a ratio determination module configured to determine a ratio between the first distance information and the existing tunnel geometry information; and an update parameter determination module configured to determine an update parameter based on a difference between the ratio and a preset ratio threshold.
[0108] According to an embodiment of the present invention, the conversion information includes a coordinate conversion relationship and a first conversion coefficient; the apparatus further includes: a coordinate conversion relationship determination module and a first conversion coefficient determination module. The coordinate conversion relationship determination module is configured to determine the coordinate conversion relationship based on the angle between the horizontal projection of the existing tunnel and the horizontal projection of the newly constructed tunnel; and the first conversion coefficient determination module is configured to determine the first conversion coefficient using the angle, the coordinate conversion relationship, the first distance information, and the second distance information.
[0109] According to an embodiment of the present invention, the unloading pressure information determination submodule includes: a reference point determination unit and an unloading pressure information determination unit. The reference point determination unit is configured to determine a reference point corresponding to the point, where the reference point is a plurality of associated points corresponding to the point; and the unloading pressure information determination unit is configured to determine reference unloading pressure information for the reference point using a stress model.
[0110] According to an embodiment of the present invention, entity information includes entity elastic modulus and section moment of inertia; vertical deformation result determination module 630 includes: a prediction model construction submodule, a flexural stiffness information determination submodule, and an information input submodule. The prediction model construction submodule is used to construct a deformation prediction model based on reference point information, reference unloading pressure information, and existing tunnel information; the flexural stiffness information determination submodule is used to determine the flexural stiffness information corresponding to the equivalent entity using the entity elastic modulus and section moment of inertia; and the information input submodule is used to input the flexural stiffness information, the second conversion coefficient, and foundation information into the deformation prediction model to obtain vertical deformation results, wherein the foundation information represents the foundation bed coefficient of the existing tunnel.
[0111] According to an embodiment of the present invention, the soil information includes soil elastic modulus, and the foundation information is determined by the following operation: determining the foundation information using bending stiffness information, soil elastic modulus, strain information and existing tunnel geometry information.
[0112] According to an embodiment of the present invention, the soil information further includes shear stiffness information, and the second conversion coefficient can be determined by the following operation: determining the second conversion coefficient using the shear stiffness information, foundation information, existing tunnel geometry information, and bending stiffness information.
[0113] According to embodiments of the present invention, any multiple modules among the information acquisition module 610, the stress model construction module 620, and the vertical deformation result determination module 630 may be combined into a single module, or any one of these modules may be split into multiple modules. Alternatively, at least part of the functionality of one or more of these modules may be combined with at least part of the functionality of other modules and implemented in a single module. According to embodiments of the present invention, at least one of the information acquisition module 610, the stress model construction module 620, and the vertical deformation result determination module 630 may be at least partially implemented as a hardware circuit, such as a field programmable gate array (FPGA), a programmable logic array (PLA), a system on a chip, a system on a substrate, a system on a package, an application-specific integrated circuit (ASIC), or may be implemented in hardware or firmware through any other reasonable means of circuit integration or packaging, or may be implemented in any one of the three implementation methods of software, hardware, and firmware, or any appropriate combination of these. Alternatively, at least one of the information acquisition module 610, the stress model construction module 620, and the vertical deformation result determination module 630 may be at least partially implemented as a computer program module that, when executed, performs the corresponding functionality.
[0114] Figure 7 A block diagram of an electronic device suitable for implementing a method for predicting deformation of an existing tunnel caused by overpass tunnel excavation according to an embodiment of the present invention is shown.
[0115] like Figure 7 As shown, an electronic device according to an embodiment of the present invention includes a processor 701, which can perform various appropriate actions and processes based on programs stored in a read-only memory (ROM) 702 or programs loaded from a storage unit 708 into a random access memory (RAM) 703. Processor 701 may include, for example, a general-purpose microprocessor (e.g., a CPU), an instruction set processor and / or related chipsets and / or a special-purpose microprocessor (e.g., an application-specific integrated circuit (ASIC)), etc. Processor 701 may also include onboard memory for caching purposes. Processor 701 may include a single processing unit or multiple processing units for performing different actions of the method flow according to an embodiment of the present invention.
[0116] Various programs and data required for the operation of the electronic device are stored in RAM 703. Processor 701, ROM 702, and RAM 703 are connected to each other via bus 704. Processor 701 performs various operations according to the method flow of the embodiment of the present invention by executing the programs in ROM 702 and / or RAM 703. It should be noted that the programs may also be stored in one or more memories other than ROM 702 and RAM 703. Processor 701 may also perform various operations according to the method flow of the embodiment of the present invention by executing the programs stored in the one or more memories.
[0117] According to an embodiment of the present invention, the electronic device may further include an input / output (I / O) interface 705, which is also connected to the bus 704. The electronic device may further include one or more of the following components connected to the I / O interface 705: an input portion 706 including a keyboard, a mouse, etc.; an output portion 707 including devices such as a cathode ray tube (CRT), a liquid crystal display (LCD), and speakers; a storage portion 708 including a hard disk; and a communication portion 709 including a network interface card such as a LAN card or a modem. The communication portion 709 performs communication processing via a network such as the Internet. A drive 710 is also connected to the I / O interface 705 as needed. Removable media 711, such as a magnetic disk, an optical disk, a magneto-optical disk, or a semiconductor memory, is installed in the drive 710 as needed, so that computer programs read from the removable media can be installed in the storage portion 708 as needed.
[0118] The present invention also provides a computer-readable storage medium, which may be included in the device / apparatus / system described in the above embodiments, or may exist independently and not incorporated into the device / apparatus / system. The computer-readable storage medium carries one or more programs, which, when executed, implement the method according to the embodiments of the present invention.
[0119] According to an embodiment of the present invention, a computer-readable storage medium may be a non-volatile computer-readable storage medium, and may include, for example, but not limited to: a portable computer disk, a hard disk, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), a portable compact disk read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination thereof. In the present invention, a computer-readable storage medium may be any tangible medium that contains or stores a program that can be used by or in conjunction with an instruction execution system, apparatus, or device. For example, according to an embodiment of the present invention, a computer-readable storage medium may include the ROM 702 and / or RAM 703 described above, and / or one or more memories other than ROM 702 and RAM 703.
[0120] Embodiments of the present invention also include a computer program product comprising a computer program containing program code for executing the method illustrated in the flowchart. When the computer program product is executed in a computer system, the program code causes the computer system to implement the method for predicting deformation of an existing tunnel caused by overpass tunneling, as provided in an embodiment of the present invention.
[0121] The computer program executes the above functions defined in the system / device of the embodiment of the present invention when the computer program is executed by the processor 701. According to the embodiment of the present invention, the system, device, module, unit, etc. described above can be implemented by a computer program module.
[0122] In one embodiment, the computer program may be stored on a tangible storage medium such as an optical storage device or a magnetic storage device. In another embodiment, the computer program may be transmitted and distributed in the form of a signal on a network medium, downloaded and installed via the communication portion 709, and / or installed from a removable medium 711. The program code contained in the computer program may be transmitted using any appropriate network medium, including but not limited to wireless, wired, or any suitable combination thereof.
[0123] In such an embodiment, the computer program can be downloaded and installed from a network via the communication section 709 and / or installed from the removable medium 711. When the computer program is executed by the processor 701, the above-described functions defined in the system of the embodiment of the present invention are performed. According to the embodiment of the present invention, the systems, devices, means, modules, units, etc. described above can be implemented by computer program modules.
[0124] According to an embodiment of the present invention, the program code for executing the computer program provided by the embodiment of the present invention can be written in any combination of one or more programming languages. Specifically, these computer programs can be implemented using high-level procedural and / or object-oriented programming languages, and / or assembly / machine languages. Programming languages include, but are not limited to, languages such as Java, C++, Python, "C" or similar programming languages. The program code can be executed entirely on the user computing device, partially on the user device, partially on a remote computing device, or entirely on a remote computing device or server. In the case of a remote computing device, the remote computing device can be connected to the user computing device through any type of network, including a local area network (LAN) or a wide area network (WAN), or can be connected to an external computing device (for example, using an Internet service provider to connect via the Internet).
[0125] The flowcharts and block diagrams in the accompanying drawings illustrate the possible implementation architecture, functions and operations of the systems, methods and computer program products according to various embodiments of the present invention. In this regard, each box in the flowchart or block diagram can represent a module, program segment, or a part of code, and the above-mentioned module, program segment, or a part of code contains one or more executable instructions for implementing the specified logical function. It should also be noted that in some alternative implementations, the functions marked in the box can also occur in an order different from that marked in the accompanying drawings. For example, two boxes represented in succession can actually be executed substantially in parallel, and they can sometimes be executed in the opposite order, depending on the functions involved. It should also be noted that each box in the block diagram or flowchart, and the combination of boxes in the block diagram or flowchart, can be implemented with a dedicated hardware-based system that performs the specified function or operation, or can be implemented with a combination of dedicated hardware and computer instructions.
[0126] It will be understood by those skilled in the art that the features described in the various embodiments of the present invention may be combined and / or coupled in various ways, even if such combinations or couplings are not explicitly described in the present invention. In particular, the features described in the various embodiments of the present invention may be combined and / or coupled in various ways without departing from the spirit and teachings of the present invention. All such combinations and / or couplings fall within the scope of the present invention.
[0127] The above describes embodiments of the present invention. However, these embodiments are for illustrative purposes only and are not intended to limit the scope of the present invention. Although each embodiment has been described separately above, this does not mean that the measures in each embodiment cannot be advantageously used in combination. Without departing from the scope of the present invention, those skilled in the art may make various substitutions and modifications, which should all fall within the scope of the present invention.
Claims
1. A method for predicting deformation of an existing tunnel caused by overpass tunnel excavation, characterized in that: The method comprises: Acquire new tunnel information, soil information corresponding to the new tunnel, existing tunnel information, and tunnel relationship information, wherein the tunnel relationship information includes angle information, distance relationship information, and conversion information between the new tunnel and the existing tunnel; Determine release load information using soil weight information in the soil information, equipment information, segment geometry information, segment weight information, and update parameters in the new tunnel information. The release load information represents the difference between the unit excavation weight of the new tunnel and the weight of the new tunnel segments. The update parameter represents an update coefficient corresponding to the initial release load information for excavation of the new tunnel. The update parameter is determined by determining a ratio between the first distance information of the existing tunnel information and the geometry information of the existing tunnel; and determining the update parameter based on the difference between the ratio and a preset ratio threshold. constructing a stress model based on the released load information, strain information in the soil information, the first distance information, second distance information in the newly built tunnel information, the angle information, the distance relationship information, and the conversion information, and determining unloading pressure information generated by excavation of the newly built tunnel on the existing tunnel using the stress model; Based on the unloading pressure information, the entity information of the equivalent entity, the existing tunnel information and the deformation prediction model, the vertical deformation results corresponding to multiple points in the existing tunnel are determined, wherein the equivalent entity representation is an entity constructed according to the existing tunnel and the soil corresponding to the existing tunnel, by comprehensively considering the existing tunnel and the soil within a preset range around the existing tunnel as an integral equivalent beam, the entity information includes the entity elastic modulus and the section moment of inertia, and the deformation prediction model is constructed based on the reference point information, the reference unloading pressure information and the existing tunnel information, and the reference point information is the information of multiple associated points corresponding to the multiple points.
2. The method according to claim 1, characterized in that Determining the released load information using the soil weight information, the equipment information, the segment geometry information, the segment weight information, and the update parameter includes: Determining initial release load information corresponding to the excavation of the new tunnel based on the soil weight information, the equipment information, the segment geometry information, and the segment weight information; The initial released bearer information is updated using the update parameter to obtain the released bearer information, wherein the update parameter is determined based on the existing tunnel information.
3. The method according to claim 1, characterized in that The conversion information includes a coordinate conversion relationship and a first conversion coefficient; The method further comprises: Determining the coordinate transformation relationship according to the angle between the horizontal projection of the existing tunnel and the horizontal projection of the newly built tunnel; The first conversion coefficient is determined using the included angle, the coordinate conversion relationship, the first distance information, and the second distance information.
4. The method according to claim 1, wherein Determining the unloading pressure information using the stress model includes: Determine a reference point corresponding to the point, wherein the reference point is a plurality of associated points corresponding to the point; The stress model is used to determine the reference unloading pressure information of the reference point.
5. The method according to claim 1, wherein The entity information includes entity elastic modulus and section inertia moment; Determining vertical deformation results corresponding to a plurality of points in the existing tunnel based on reference unloading pressure information, entity information of the equivalent entity, the existing tunnel information, and a deformation prediction model includes: Constructing the deformation prediction model based on the reference point information, the reference unloading pressure information and the existing tunnel information; Determining bending stiffness information corresponding to the equivalent entity using the entity elastic modulus and the section moment of inertia; The bending stiffness information, the second conversion coefficient and the foundation information are input into the deformation prediction model to obtain the vertical deformation result, wherein the foundation information represents the foundation bed coefficient of the existing tunnel.
6. The method according to claim 5, characterized in that The soil information includes the soil elastic modulus, and the foundation information is determined by the following operations: The foundation information is determined using the flexural stiffness information, the soil elastic modulus, the strain information, and existing tunnel geometry information.
7. The method according to claim 6, characterized in that The soil information also includes shear stiffness information. The second conversion coefficient can be determined by the following operation: The second conversion coefficient is determined using the shear stiffness information, the foundation information, the existing tunnel geometry information, and the bending stiffness information.
8. A device for predicting deformation of an existing tunnel caused by overpass tunnel excavation, characterized in that: The device comprises: An information acquisition module, configured to acquire new tunnel information, soil information corresponding to the new tunnel, existing tunnel information, and tunnel relationship information, wherein the tunnel relationship information includes angle information, distance relationship information, and conversion information between the new tunnel and the existing tunnel; a stress model construction module, configured to construct a stress model based on the soil information, the existing tunnel information, the new tunnel information, and the tunnel relationship information, and to determine unloading pressure information generated by the excavation of the new tunnel on the existing tunnel using the stress model, wherein the stress model construction module is configured to: determine release load information using soil weight information in the soil information, equipment information, segment geometry information, segment weight information, and update parameters in the new tunnel information, wherein the release load information represents the difference between the unit excavation weight of the new tunnel and the weight of the new tunnel segment; and the update parameter represents an update coefficient corresponding to the initial release load information for the excavation of the new tunnel. The update parameter is determined by: determining a ratio between first distance information of the existing tunnel information and existing tunnel geometry information; determining the update parameter based on a difference between the ratio and a preset ratio threshold; and constructing the stress model based on the release load information, strain information in the soil information, the first distance information, second distance information in the new tunnel information, the angle information, the distance relationship information, and the conversion information; A vertical deformation result determination module is used to determine the vertical deformation results corresponding to multiple points in the existing tunnel based on the unloading pressure information, the entity information of the equivalent entity, the existing tunnel information and the deformation prediction model, wherein the equivalent entity representation is an entity constructed according to the existing tunnel and the soil corresponding to the existing tunnel, by comprehensively considering the existing tunnel and the soil within a preset range around the existing tunnel as an integral equivalent beam, the entity information includes the entity elastic modulus and the section inertia moment, and the deformation prediction model is constructed based on the reference point information, the reference unloading pressure information and the existing tunnel information, and the reference point information is the information of multiple associated points corresponding to the multiple points.
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