CN112906239B - Comprehensive pipe rack safety state evaluation method and device, processor and storage medium - Google Patents
Comprehensive pipe rack safety state evaluation method and device, processor and storage medium Download PDFInfo
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- 210000001370 mediastinum Anatomy 0.000 description 1
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Abstract
The invention relates to the technical field of computers, in particular to a method, a device, a processor, a storage medium and a computer product for evaluating the safety state of a comprehensive pipe rack, wherein the arrangement sequence of weights is determined according to a preset feedback model; determining the weight value of each risk factor according to the arrangement sequence; adjusting the safety coefficient of the comprehensive pipe rack according to the weight value; reducing the surrounding rock strength parameter by a safety coefficient; determining the stability of surrounding rock corresponding to different working conditions according to the reduced surrounding rock strength parameters; and determining the safety state of the comprehensive pipe rack according to the strong stability of the surrounding rock. The comprehensive pipe rack safety evaluation method can enable the comprehensive pipe rack safety evaluation to be comprehensive and scientific, the obtained evaluation result is more accurate, and the comprehensive pipe rack safety evaluation method has good economical efficiency and popularization prospect.
Description
Technical Field
The invention relates to the field of computers, in particular to a safety state evaluation method, a safety state evaluation device, a safety state evaluation processor, a safety state evaluation storage medium and a safety state evaluation computer product for a comprehensive pipe rack.
Background
The utility tunnel is a public infrastructure under the tunnel, namely a tunnel space is built under the tunnel, various engineering pipelines such as electric power, communication, fuel gas, heat supply, water supply and drainage and the like are integrated, a special overhaul port, a lifting port and a detection system are arranged, unified planning, unified design, unified construction and management are implemented, and the utility tunnel is a traditional Chinese medicine infrastructure and a life line for guaranteeing urban operation.
However, the internal structure of the utility tunnel has uncertainty and multifactor coupling and time variability in the operation process of the utility tunnel due to the influence of various aspects such as underground water, ground stress, environmental disturbance, structural form, management factors and the like.
In the prior art, the safety condition of the utility tunnel is difficult to accurately reflect only by means of single-type sensor detection, and sometimes complex terrain conditions are faced, so that the safety of the utility tunnel is difficult to comprehensively evaluate.
Disclosure of Invention
The embodiment of the invention aims to provide a safety state evaluation method and device of a comprehensive pipe rack, a processor, a storage medium and a computer product.
In order to achieve the above object, an embodiment of the present invention provides a method for evaluating a security state of a utility tunnel, including:
determining the arrangement sequence of the weights according to a preset feedback model;
determining the weight value of each risk factor according to the arrangement sequence;
adjusting the safety coefficient of the comprehensive pipe rack according to the weight value;
reducing the surrounding rock strength parameter by a safety coefficient;
determining the stability of surrounding rock corresponding to different working conditions according to the reduced surrounding rock strength parameters;
and determining the safety state of the comprehensive pipe rack according to the strong stability of the surrounding rock.
In one embodiment, determining the ranking order of the weights according to the preset feedback model includes: and inputting the risk factors into a preset feedback model to determine the arrangement sequence of the weights of the multiple risk factors contained in the risk factors.
In one embodiment, the risk factors include at least one of natural factors, engineering factors, management factors; natural factors include at least one of earthquakes, storms, landslides, geological defects; engineering factors include at least one of lining failure, construction quality, and deformation of surrounding rock; the management factors include at least one of maintenance inspection and neighboring cell building.
In one embodiment, adjusting the safety factor of the utility tunnel according to the weight value includes: the safety factor is proportional to the weight value of the risk factor.
In one embodiment, the minimum value of the safety factor is 1.
In one embodiment, the reduced surrounding rock strength parameters are input into finite element software; modeling different types of typical sections through finite element software to determine displacement and stress distribution of tunnel surrounding rocks under different buried depths; and determining the stability of the surrounding rock corresponding to different working conditions according to the moved stress distribution.
The second aspect of the present invention provides a safety state evaluation device for a utility tunnel, including:
the weight determining module is configured to determine the arrangement sequence of the weights according to a preset feedback model; determining the weight value of each risk factor according to the arrangement sequence;
the safety coefficient determining module is configured to adjust the safety coefficient of the comprehensive pipe rack according to the weight value;
the surrounding rock stability determining module is configured to reduce the surrounding rock strength parameter through the safety coefficient; determining the stability of surrounding rock corresponding to different working conditions according to the reduced surrounding rock strength parameters;
the safety form determining module is configured to determine the safety form of the utility tunnel according to the strong stability of the surrounding rock.
A third aspect of the present invention provides a processor configured to perform the above-described method for evaluating a security state of a utility tunnel.
A fourth aspect of the present invention provides a machine-readable storage medium having instructions stored thereon that, when executed by a processor, cause the processor to be configured to perform the utility tunnel security assessment method described above.
A fifth aspect of the present invention provides a computer program product comprising a computer program which, when executed by a processor, implements a method for evaluating the security status of a utility tunnel as described above.
According to the technical scheme, the safety state of the comprehensive pipe rack in the mountain area is evaluated by fusing the multi-source information, the strength safety coefficient of the comprehensive pipe rack can be obtained by combining the influence of various risk factors on the engineering safety of the tunnel, surrounding rock strength parameters are reduced by the safety coefficient, and the stability of the surrounding rock under different working conditions is calculated according to the obtained surrounding rock strength parameters, so that the safety state of the comprehensive pipe rack is evaluated, the evaluation of the safety state of the comprehensive pipe rack is more comprehensive and scientific, the obtained evaluation result is more accurate, and the method has good economical efficiency and popularization prospect.
Additional features and advantages of embodiments of the invention will be set forth in the detailed description which follows.
Drawings
The accompanying drawings are included to provide a further understanding of embodiments of the invention and are incorporated in and constitute a part of this specification, illustrate embodiments of the invention and together with the description serve to explain, without limitation, the embodiments of the invention. In the drawings:
FIG. 1 schematically illustrates a flow chart of a method for evaluating the safety profile of a utility tunnel according to an embodiment of the present invention;
FIG. 2 schematically illustrates a tree diagram of risk factors that may be present in an embodiment of the present invention;
FIG. 3 schematically shows a surrounding rock finite element subdivision network model diagram of a circular tunnel in an embodiment of the invention;
FIG. 4 schematically shows a surrounding rock finite element subdivision network model diagram of upper and lower circular tunnels in an embodiment of the invention;
FIG. 5 schematically illustrates a surrounding finite element subdivision network model diagram of an arch-type tunnel in an embodiment of the invention;
FIG. 6 schematically shows an exemplary graph of stress distribution in a horizontal direction of a 100-meter burial depth of a circular tunnel in an embodiment of the invention;
FIG. 7 schematically illustrates a stress distribution diagram of a circular tunnel in a vertical direction at a burial depth of 100 meters in an embodiment of the invention;
FIG. 8 schematically shows a stress distribution diagram of an upper and lower dome-shaped tunnel in a 200-meter deep buried horizontal direction in an embodiment of the invention;
FIG. 9 schematically shows a stress distribution diagram of an upper and lower dome-shaped tunnel in a 200-meter deep buried vertical direction in an embodiment of the present invention;
FIG. 10 schematically illustrates a 300 meter deep buried horizontal stress distribution diagram for an arch tunnel in an embodiment of the present invention;
FIG. 11 schematically illustrates a 300 meter deep vertical stress profile of an arch tunnel in an embodiment of the invention;
FIG. 12 is a block diagram schematically showing a safety state evaluation apparatus of a utility tunnel according to an embodiment of the present invention;
fig. 13 schematically shows an internal structural view of a computer device according to an embodiment of the present invention.
Detailed Description
The following describes the detailed implementation of the embodiments of the present invention with reference to the drawings. It should be understood that the detailed description and specific examples, while indicating and illustrating the invention, are not intended to limit the invention.
Fig. 1 schematically shows a flow chart of a method for evaluating the safety state of a utility tunnel according to an embodiment of the invention. As shown in fig. 1, in an embodiment of the present invention, a method for evaluating the safety state of a utility tunnel is provided, including the following steps:
and step 101, determining the arrangement sequence of the weights according to a preset feedback model.
And 102, determining the weight value of each risk factor according to the arrangement sequence.
And 103, adjusting the safety coefficient of the comprehensive pipe rack according to the weight value.
And 104, reducing the surrounding rock strength parameter by the safety coefficient.
And 105, determining the stability of the surrounding rock corresponding to different working conditions according to the reduced surrounding rock strength parameters.
And 106, determining the safety state of the comprehensive pipe rack according to the strong stability of the surrounding rock.
In one embodiment, determining the ranking order of the weights according to the preset feedback model includes: and inputting the risk factors into a preset feedback model to determine the arrangement sequence of the weights of the multiple risk factors contained in the risk factors.
The preset feedback model may be a system dynamics feedback model constructed using simulation software. The weight of the risk factor refers to the degree of influence of the risk factor on utility tunnel safety. The risk factors are input into a preset feedback model by a user, and the arrangement sequence of the weights of all the risk factors can be determined according to a system dynamics feedback model constructed by the risk factors input by the user.
The user can determine the weight value of the risk factors by presetting the arrangement sequence of the weights of the risk factors determined by the feedback model. For example, the range of the weight value set by the user is generally between 1 and 2.5, and if the weight of the risk factor, i.e. the groundwater level change, is the largest in the weight arrangement sequence determined according to the feedback model, the user may assign the weight of the risk factor to 2.5, and the weight of the risk factor, i.e. the construction quality, is the smallest, the user may assign the weight of the risk factor to 1. The user can adjust the safety coefficient of utility tunnel according to the weight value of risk factor that determines, and the safety coefficient is generally in direct proportion with the weight value of risk factor, and the higher the weight value is, the higher the safety coefficient, the value scope of the safety coefficient that the user set up is generally between 1-3.
After the safety coefficient is determined by the user, the surrounding rock strength parameter can be reduced through the determined safety coefficient, and the greater the safety coefficient value, the greater the reduction force. After the strength parameters of the surrounding rock after the reduction are obtained, the surrounding rock parameters after the reduction are input into finite element software, the finite element software can react the displacement and stress distribution of the surrounding rock through the received parameter values, and the stability of the surrounding rock under different working conditions can be determined through the reaction of the displacement and stress distribution of the surrounding rock. And finally, determining the safety state of the mediastinum pipe gallery by the user according to the stability of the surrounding rock under different working conditions of the finite element software reaction. For example, the reduced surrounding rock parameters are input into FLAC3D finite element software to reflect the surrounding rock stability under different working conditions.
In one particular embodiment, the risk factors include at least one of natural factors, engineering factors, management factors; natural factors include at least one of earthquakes, storms, landslides, geological defects; engineering factors include at least one of lining failure, construction quality, and deformation of surrounding rock; the management factors include at least one of maintenance inspection and neighboring cell building.
Fig. 2 schematically illustrates risk factors that may exist in a tunnel project 200, the risk factors may include natural factors 201, project factors 202, management factors 203, and the natural factors 201 may include: earthquake 2011, heavy rain 2012, landslide 2013, geological defect 2014, groundwater level change 2015, engineering factors 202 may include: lining damage 2021, construction quality 2022, surrounding rock deformation 2023, management factors 203 may include: the patrol 2031 is maintained and the neighboring buildings 2032.
The user can input the risk factors into a preset feedback model constructed by the simulation software, the simulation software constructs a feedback model according to the received risk factors, and the feedback model can sequentially arrange the weights of the risk factors so as to facilitate the user to assign the weight values of the risk factors according to the arranged weights.
In one embodiment, adjusting the safety factor of the utility tunnel according to the weight value includes: the safety factor is proportional to the weight value of the risk factor.
In one embodiment, the minimum value of the safety factor is 1.
In one embodiment, adjusting the safety factor of the utility tunnel according to the weight value includes: the safety factor is proportional to the weight value of the risk factor, and the minimum value of the safety factor is 1.
The weight of the risk factors refers to the influence degree of the risk factors on the utility tunnel engineering, after the system dynamics feedback model is constructed through simulation software to sequence the weights of the risk factors, the user can assign the weights, the safety coefficient is in direct proportion to the weight value of the risk factors, the higher the weight value of the risk factors is, the larger the safety coefficient is, the minimum value of the safety coefficient selected by the general user is 1, and the range is between 1 and 3.
In one embodiment, determining the stability of the surrounding rock corresponding to different working conditions according to the reduced surrounding rock strength parameter includes: inputting the reduced surrounding rock strength parameters into finite element software; modeling different types of typical sections through finite element software to determine displacement and stress distribution of tunnel surrounding rocks under different buried depths; and determining the stability of surrounding rock corresponding to different working conditions according to the displacement and the stress distribution.
After the user adjusts the weight value of the risk factor to a proper safety coefficient, the surrounding rock strength parameter is reduced through the safety coefficient, the user can input the reduced surrounding rock strength parameter to finite element software, such as FLAC3D finite element software, and the finite element software models different types of typical sections according to the received surrounding rock parameter, such as a surrounding rock finite element subdivision network model diagram of the circular tunnel shown in fig. 3; a surrounding rock finite element subdivision network model diagram of the upper and lower circular tunnels shown in fig. 4; after obtaining the finite element splitting network model diagram, determining the displacement and stress distribution of surrounding rock of the tunnel in different burial depths, wherein the stress distribution diagram is shown in FIG. 6 and is an exemplary diagram of the stress distribution in the horizontal direction of the 100 m burial depth of the circular tunnel, and the stress distribution diagram is shown in FIG. 7 and is a vertical direction of the 100 m burial depth of the circular tunnel; FIG. 8 shows a stress distribution diagram of the upper and lower circular arch tunnels in the horizontal direction of 200 m deep burial, and FIG. 9 shows a stress distribution diagram of the upper and lower circular arch tunnels in the vertical direction of 200 m deep burial; the stress distribution diagram of the arch-type tunnel in the horizontal direction is 300 meters deep buried, as shown in fig. 10, and the stress distribution diagram of the arch-type tunnel in the vertical direction is 300 meters deep buried, as shown in fig. 11.
In one embodiment, fig. 12 schematically illustrates a utility tunnel security state evaluation apparatus 1200, where the apparatus 1200 includes:
a weight determining module 1201 configured to determine an arrangement order of weights according to a preset feedback model; determining the weight value of each risk factor according to the arrangement sequence;
a safety factor determination module 1202 configured to adjust a safety factor of the utility tunnel according to the weight value;
the surrounding rock stability determination module 1203 is configured to compromise the surrounding rock strength parameter by a safety factor; determining the stability of surrounding rock corresponding to different working conditions according to the reduced surrounding rock strength parameters;
the safety morphology determination module 1204 is configured to determine the safety morphology of the utility tunnel based on the strong stability of the surrounding rock.
The weight determining module 1201 builds a feedback model according to the risk factors input by the user, the feedback model models the risk factors input by the user, the arrangement sequence of the weights of the risk factors can be determined, and the user can assign the weights according to the arrangement sequence of the weights of the risk factors determined by the weight determining module 1201. After the weight determining module 1201 determines the weight value of each risk factor, the safety factor determining module 1202 adjusts the safety factor of the utility tunnel according to the weight value determined by the weight determining module 1201, wherein the safety factor is in direct proportion to the weight value, and the safety factor is larger as the weight value is larger.
The surrounding rock stability determining module 1203 is used for reducing the surrounding rock strength parameter through the obtained safety coefficient, calculating the surrounding rock stability under different working conditions through finite element software according to the reduced surrounding rock strength parameter, for example, confirming the surrounding rock stability under different working conditions through FLAC3D finite element software according to the reduced surrounding rock stability, as shown in a surrounding rock finite element subdivision network model diagram of the circular tunnel in fig. 3; a surrounding rock finite element subdivision network model diagram of the upper and lower circular tunnels shown in fig. 4; after obtaining the finite element splitting network model diagram, determining the displacement and stress distribution of surrounding rock of the tunnel in different burial depths, wherein the stress distribution diagram is shown in FIG. 6 and is an exemplary diagram of the stress distribution in the horizontal direction of the 100 m burial depth of the circular tunnel, and the stress distribution diagram is shown in FIG. 7 and is a vertical direction of the 100 m burial depth of the circular tunnel; FIG. 8 shows a stress distribution diagram of the upper and lower circular arch tunnels in the horizontal direction of 200 m deep burial, and FIG. 9 shows a stress distribution diagram of the upper and lower circular arch tunnels in the vertical direction of 200 m deep burial; the stress distribution diagram of the arch-type tunnel in the horizontal direction is 300 meters deep buried, as shown in fig. 10, and the stress distribution diagram of the arch-type tunnel in the vertical direction is 300 meters deep buried, as shown in fig. 11. Based on the obtained stability of the surrounding rock strength, the safety morphology determination module 1204 may evaluate the safety morphology of the utility tunnel.
In one embodiment, a processor is provided that is configured to perform the utility tunnel security state assessment method of any of the above embodiments.
The processor builds a system dynamics feedback model with the risk factors input by the user by using simulation software, the ranking of the weights of the risk factors is obtained through the feedback model, the user can confirm the weight values according to the ranking of the weights of the risk factors, and the safety coefficient is regulated by the confirmed weight values of the risk factors, wherein the value of the safety coefficient is in direct proportion to the value of the weight, and the higher the weight value of the risk factors is, the larger the safety coefficient is. The numerical range of the safety coefficient is generally 1-3, after the processor obtains the safety coefficient regulated by a user, the safety coefficient is used for reducing the surrounding rock strength parameter of the comprehensive pipe rack, the greater the safety coefficient is, the higher the reduction degree is, after the reduced surrounding rock strength parameter is obtained, the processor calculates the surrounding rock stability under different working conditions by utilizing finite element software according to the reduced surrounding rock strength parameter, and the safety state of the comprehensive pipe rack is determined according to the obtained surrounding rock stability under different working conditions.
The processor includes a kernel, and the kernel fetches the corresponding program unit from the memory. The kernel can be provided with one or more than one, and the security state evaluation method of the comprehensive pipe rack is determined by adjusting kernel parameters.
The memory may include volatile memory, random Access Memory (RAM), and/or nonvolatile memory, such as Read Only Memory (ROM) or flash memory (flash RAM), among other forms in computer readable media, the memory including at least one memory chip.
The embodiment of the invention provides a storage medium, and a program is stored on the storage medium, and the program realizes the safety state evaluation method of the utility tunnel when being executed by a processor.
The embodiment of the invention provides a processor which is used for running a program, wherein the safety state evaluation method of the utility tunnel is executed when the program runs.
In one embodiment, a computer device is provided, which may be a server, and the internal structure of which may be as shown in fig. 13. The computer device includes a processor a01, a network interface a02, a memory (not shown) and a database (not shown) connected by a system bus. Wherein the processor a01 of the computer device is adapted to provide computing and control capabilities. The memory of the computer device includes internal memory a03 and nonvolatile storage medium a04. The nonvolatile storage medium a04 stores an operating system B01, a computer program B02, and a database (not shown in the figure). The internal memory a03 provides an environment for the operation of the operating system B01 and the computer program B02 in the nonvolatile storage medium a04. The database of the computer device is used to store the position data of the cutlery. The network interface a02 of the computer device is used for communication with an external terminal through a network connection. The computer program B02, when executed by the processor a01, implements a method for evaluating the safety profile of a utility tunnel.
It will be appreciated by those skilled in the art that the structure shown in fig. 13 is merely a block diagram of a portion of the structure associated with the present application and is not limiting of the computer device to which the present application applies, and that a particular computer device may include more or fewer components than shown, or may combine some of the components, or have a different arrangement of components.
The embodiment of the invention provides equipment, which comprises a processor, a memory and a program stored in the memory and capable of running on the processor, wherein the processor realizes the following steps when executing the program: determining the arrangement sequence of the weights according to a preset feedback model; determining the weight value of each risk factor according to the arrangement sequence; adjusting the safety coefficient of the comprehensive pipe rack according to the weight value; reducing the surrounding rock strength parameter by a safety coefficient; determining the stability of surrounding rock corresponding to different working conditions according to the reduced surrounding rock strength parameters; and determining the safety state of the comprehensive pipe rack according to the strong stability of the surrounding rock.
In one embodiment, determining the ranking order of the weights according to the preset feedback model includes: and inputting the risk factors into a preset feedback model to determine the arrangement sequence of the weights of the multiple risk factors contained in the risk factors.
In one embodiment, the risk factors include at least one of natural factors, engineering factors, management factors; natural factors include at least one of earthquakes, storms, landslides, geological defects; engineering factors include at least one of lining failure, construction quality, and deformation of surrounding rock; the management factors include at least one of maintenance inspection and neighboring cell building.
In one embodiment, adjusting the safety factor of the utility tunnel according to the weight value includes: the safety factor is proportional to the weight value of the risk factor.
In one embodiment, the minimum value of the safety factor is 1.
In one embodiment, the reduced surrounding rock strength parameters are input into finite element software; modeling different types of typical sections through finite element software to determine displacement and stress distribution of tunnel surrounding rocks under different buried depths; and determining the stability of the surrounding rock corresponding to different working conditions according to the moved stress distribution.
The present application also provides a computer program product adapted to perform, when executed on a data processing device, a program initialized with the method steps of: determining the arrangement sequence of the weights according to a preset feedback model; determining the weight value of each risk factor according to the arrangement sequence; adjusting the safety coefficient of the comprehensive pipe rack according to the weight value; reducing the surrounding rock strength parameter by a safety coefficient; determining the stability of surrounding rock corresponding to different working conditions according to the reduced surrounding rock strength parameters; and determining the safety state of the comprehensive pipe rack according to the strong stability of the surrounding rock.
In one embodiment, determining the ranking order of the weights according to the preset feedback model includes: and inputting the risk factors into a preset feedback model to determine the arrangement sequence of the weights of the multiple risk factors contained in the risk factors.
In one embodiment, the risk factors include at least one of natural factors, engineering factors, management factors; natural factors include at least one of earthquakes, storms, landslides, geological defects; engineering factors include at least one of lining failure, construction quality, and deformation of surrounding rock; the management factors include at least one of maintenance inspection and neighboring cell building.
In one embodiment, adjusting the safety factor of the utility tunnel according to the weight value includes: the safety factor is proportional to the weight value of the risk factor.
In one embodiment, the minimum value of the safety factor is 1.
In one embodiment, the reduced surrounding rock strength parameters are input into finite element software; modeling different types of typical sections through finite element software to determine displacement and stress distribution of tunnel surrounding rocks under different buried depths; and determining the stability of the surrounding rock corresponding to different working conditions according to the moved stress distribution.
It will be appreciated by those skilled in the art that embodiments of the present application may be provided as a method, system, or computer program product. Accordingly, the present application may take the form of an entirely hardware embodiment, an entirely software embodiment, or an embodiment combining software and hardware aspects. Furthermore, the present application may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.
The present application is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems) and computer program products according to embodiments of the application. It will be understood that each flow and/or block of the flowchart illustrations and/or block diagrams, and combinations of flows and/or blocks in the flowchart illustrations and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
In one typical configuration, a computing device includes one or more processors (CPUs), input/output interfaces, network interfaces, and memory.
The memory may include volatile memory in a computer-readable medium, random Access Memory (RAM) and/or nonvolatile memory, etc., such as Read Only Memory (ROM) or flash RAM. Memory is an example of a computer-readable medium.
Computer readable media, including both non-transitory and non-transitory, removable and non-removable media, may implement information storage by any method or technology. The information may be computer readable instructions, data structures, modules of a program, or other data. Examples of storage media for a computer include, but are not limited to, phase change memory (PRAM), static Random Access Memory (SRAM), dynamic Random Access Memory (DRAM), other types of Random Access Memory (RAM), read Only Memory (ROM), electrically Erasable Programmable Read Only Memory (EEPROM), flash memory or other memory technology, compact disc read only memory (CD-ROM), digital Versatile Discs (DVD) or other optical storage, magnetic cassettes, magnetic tape magnetic disk storage or other magnetic storage devices, or any other non-transmission medium, which can be used to store information that can be accessed by a computing device. Computer-readable media, as defined herein, does not include transitory computer-readable media (transmission media), such as modulated data signals and carrier waves.
It should also be noted that the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising one … …" does not exclude the presence of other like elements in a process, method, article or apparatus that comprises an element.
The foregoing is merely exemplary of the present application and is not intended to limit the present application. Various modifications and changes may be made to the present application by those skilled in the art. Any modifications, equivalent substitutions, improvements, etc. which are within the spirit and principles of the present application are intended to be included within the scope of the claims of the present application.
Claims (6)
1. The utility tunnel safety state evaluation method is characterized by comprising the following steps:
inputting risk factors into a preset feedback model to determine the arrangement sequence of the weights of a plurality of risk factors contained in the risk factors;
determining the weight value of each risk factor according to the arrangement sequence;
adjusting the safety coefficient of the utility tunnel according to the weight value, wherein the safety coefficient is in direct proportion to the weight value of the risk factor;
reducing the surrounding rock strength parameter by the safety coefficient;
determining the stability of surrounding rock corresponding to different working conditions according to the reduced surrounding rock strength parameters;
determining the safety state of the comprehensive pipe rack according to the strong stability of the surrounding rock;
the determining the stability of the surrounding rock corresponding to different working conditions according to the reduced surrounding rock strength parameters comprises the following steps:
inputting the reduced surrounding rock strength parameters into finite element software;
modeling different types of typical sections through the finite element software to determine the displacement and stress distribution of tunnel surrounding rocks under different buried depths;
and determining the stability of the surrounding rock corresponding to different working conditions according to the displacement and the stress distribution.
2. The utility tunnel security assessment method of claim 1, wherein the risk factors include at least one of natural factors, engineering factors, and management factors;
the natural factors include at least one of earthquakes, storms, landslides, geological defects;
the engineering factors include at least one of lining damage, construction quality, and surrounding rock deformation;
the management factors include at least one of maintenance inspection, neighboring cell buildings.
3. The utility tunnel safety profile assessment method of claim 1, wherein the minimum value of the safety factor is 1.
4. The utility tunnel's security state evaluation device, characterized in that includes:
the weight determining module is configured to input risk factors into a preset feedback model so as to determine the arrangement sequence of the weights of a plurality of risk factors contained in the risk factors; determining the weight value of each risk factor according to the arrangement sequence;
a safety factor determination module configured to adjust a safety factor of the utility tunnel according to the weight value, wherein the safety factor is proportional to the weight value of the risk factor;
the surrounding rock stability determining module is configured to reduce the surrounding rock strength parameter through the safety coefficient; determining the stability of surrounding rock corresponding to different working conditions according to the reduced surrounding rock strength parameters;
a safety morphology determination module configured to determine a safety morphology of the utility tunnel based on the surrounding rock strength stability;
the determining the stability of the surrounding rock corresponding to different working conditions according to the reduced surrounding rock strength parameters comprises the following steps:
inputting the reduced surrounding rock strength parameters into finite element software;
modeling different types of typical sections through the finite element software to determine the displacement and stress distribution of tunnel surrounding rocks under different buried depths;
and determining the stability of the surrounding rock corresponding to different working conditions according to the displacement and the stress distribution.
5. A processor configured to perform the utility tunnel security state evaluation method of any one of claims 1 to 3.
6. A machine-readable storage medium having instructions stored thereon, which when executed by a processor cause the processor to be configured to perform the method of evaluating the security status of utility tunnel according to any of claims 1 to 3.
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