Railway station post-earthquake function evaluation method

Abstract

The invention provides a post-earthquake function evaluation method for a railway station. The method comprises the following steps: determining a relationship between all components forming a transportation distribution function in a railway station and a functional system formed by the components; establishing a railway station function reasoning tree based on the confidence rule base; based on the railway station function inference tree, establishing a confidence rule base to quantify the relationship between each component and the railway station function; calculating the seismic response of the railway station in the target seismic scene for the railway station needing function evaluation, and judging the damage condition of the component according to the vulnerability of the component, or investigating the damage condition of the post-earthquake component in the field; and according to the actual passenger flow of the target railway station, weighting the components and the function system, substituting the weighted component damage condition into the confidence rule base, and performing function evaluation on the post-earthquake railway station. According to the method, the function of the railway station can be evaluated immediately after the earthquake, then the available condition of the station after the earthquake and the capacity of collecting and distributing passengers are rapidly determined, and potential operation risks and function waste are avoided.

Description

Technical Field

[0001] The invention relates to the technical field of earthquake resistance assessment of functional buildings, and in particular to a method for assessing the post-earthquake function of a railway station. Background Art

[0002] With the vigorous development of railway transportation in my country, the railway passenger volume has increased significantly, and new railway stations have been put into use one after another, shouldering the important task of realizing convenient transfer and efficient transportation for passengers. Therefore, the earthquake resistance research of railway stations is of great significance.

[0003] At present, the research on railway stations is either only focused on a single function, such as evacuation capacity and transfer channel capacity, or only on the post-seismic response analysis of the structure to evaluate the post-seismic availability of the station structure. However, the various functions of the station are dependent on the availability of the structure, and the seismic response of the structure also affects the availability of the components that make up the various functions. Therefore, the problem of station seismic capacity assessment that takes into account the station structure, non-structural components, and the influence relationship between them needs to be solved urgently. Summary of the invention

[0004] The purpose of the present invention is to solve the problems in the prior art and meet the needs of actual situations. A method for evaluating the function of railway stations after an earthquake is proposed. The method can instantly evaluate the function of railway stations after an earthquake, and then quickly determine the availability of stations after the earthquake and the ability to gather and disperse passengers, avoiding potential operational risks and functional waste.

[0005] The present invention is implemented by the following technical scheme. The present invention proposes a method for evaluating the post-earthquake function of a railway station, and the method comprises the following steps:

[0006] Step S1, determining all components constituting the transport distribution function in the railway station and the relationship between the functional systems composed of the components;

[0007] Step S2, based on the confidence rule base method, considering the structural and non-structural components, establish a railway station function reasoning tree;

[0008] Step S3, based on the component to functional system and each functional system to railway station function reasoning tree, a confidence rule base is established to quantify the relationship between each component and the railway station function;

[0009] Step S4, calculating the earthquake response of the railway station under the target earthquake scenario for the railway station that needs functional evaluation, and then judging the damage of the components according to the vulnerability of the components, or conducting an on-site investigation of the damage of the components after the earthquake;

[0010] Step S5, weighting the components and functional systems according to the actual passenger flow of the target railway station, bringing the weighted component damage situation into the confidence rule base, and conducting a functional evaluation of the railway station after the earthquake.

[0011] Furthermore, all components constituting the transport distribution function include: beams, slabs, columns, platforms, curtain walls, doors and windows, partitions, suspended ceilings, canopies, stairs, lamps, cooling equipment, air compressors, air handling units, pipelines, information user equipment, communication sources, sewage pipes, fire sprinklers, cold water pipes, water sources, outdoor drainage, substations, power supplies, emergency backup power supplies and control consoles.

[0012] Furthermore, the functional systems composed of the components include: structural system, enclosure system, vertical transportation and auxiliary systems; the auxiliary systems include lighting system, HVAC system, communication system, water supply and drainage system, power system and vehicle control system.

[0013] Furthermore, in step S2, the functional support required by the lower layer of each functional system and the support provided to the upper layer system are analyzed through expert experience logic, and the relationship between the functional systems that ensure the functions of the railway station is determined from bottom to top, thereby establishing a railway station function reasoning tree in which the lower layer supports the upper layer system.

[0014] Furthermore, in step S3, according to the railway station function reasoning tree, a trust rule base is established from bottom to top for the lower-level system to support the upper-level system function, and then the operating status and probability of the corresponding functional system when each component is in different damage states are obtained, and finally the station function value is inferred.

[0015] Furthermore, in step S3, the damage status of each component is divided into "normal operation H", "partial operation M" and "stop operation L"; based on the railway station function reasoning tree, from the lower layer to the upper layer of the reasoning tree, confidence rules are established layer by layer to infer the function and probability of its upper functional system when each component or functional system is in different damage states.

[0016] Furthermore, in step S4, for the target earthquake scenario, the seismic response of the studied railway station is calculated by finite element analysis software to obtain the inter-story displacement angle and floor peak acceleration of each floor of the station; for all components of the station, the damage state of the components is determined in combination with the seismic demand parameters and vulnerability indicators of their locations; for the actual earthquake scenario, a disaster investigation is conducted to determine the damage status of each component.

[0017] Further, in step S5, for each floor of the target railway station, the functional partitions existing on the floor are determined. For each functional partition on each floor, the damage conditions of each component in step S4 are used as the bottom input of the confidence rule base in step S3, and the functional state and the corresponding probability are inferred to the upper layer of the rule tree; the same type of functional partitions on different floors are weighted according to the actual frequency of use and used as the input of the upper confidence rule; the function state of the target railway station and the corresponding probabilities of different states are calculated upward, and then according to the formula F=β 1 ×1+β 2 ×0.5+β 3 ×0Calculate the functional value of the target railway station under the target earthquake scenario.

[0018] The present invention also proposes an electronic device, comprising a memory and a processor, wherein the memory stores a computer program, and the processor implements the steps of the method for evaluating the post-earthquake function of a railway station when executing the computer program.

[0019] The present invention also proposes a computer-readable storage medium for storing computer instructions, which, when executed by a processor, implement the steps of the method for evaluating the post-earthquake function of a railway station.

[0020] Beneficial effects of the present invention:

[0021] The present invention proposes a method for evaluating the function of railway stations after an earthquake. The method can instantly evaluate the function of railway stations after an earthquake, and then quickly determine the availability of stations after the earthquake and the ability to gather and disperse passengers, thus avoiding potential operational risks and waste of functions. BRIEF DESCRIPTION OF THE DRAWINGS

[0022] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are only embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on the provided drawings without paying creative work.

[0023] Figure 1 It is a flow chart of the post-earthquake functional assessment method for railway stations;

[0024] Figure 2 It is a schematic diagram of the supporting components required for each functional system of a railway station;

[0025] Figure 3 Schematic diagram of railway station function reasoning tree; (a) is the line-type railway station function reasoning tree, (b) is the line-side railway station function reasoning tree;

[0026] Figure 4 This is a schematic diagram of the functional area distribution of a two-story railway station on a certain line. DETAILED DESCRIPTION

[0027] The technical solutions in the embodiments of the present invention will be described clearly and completely below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0028] like Figure 1 As shown, the present invention proposes a method for evaluating the post-earthquake function of a railway station, the method comprising the following steps:

[0029] Step S1, determining all components constituting the transport distribution function in the railway station and the relationship between the functional systems composed of the components;

[0030] All components that constitute the transportation and distribution function include: beams, slabs, columns, platforms, curtain walls, doors and windows, partitions, suspended ceilings, awnings, stairs, lamps, cooling equipment, air compressors, air handling units, pipelines, information user equipment, communication sources, sewage pipes, fire sprinklers, cold water pipes, water sources, outdoor drainage, substations, power supplies, emergency backup power supplies and control consoles.

[0031] The functional systems composed of components include: structural system, enclosure system, vertical transportation and auxiliary systems; the auxiliary systems include lighting system, HVAC system, communication system, water supply and drainage system, power system and vehicle control system. The components required for each functional system are as follows: Figure 2 As shown, B2 corresponds to the enclosure system of the platform section. For the on-line station, since the platform layer is below the waiting hall, its enclosure system is a suspended ceiling. For the side-line station, its enclosure system is a canopy.

[0032] Step S2, based on the confidence rule base method, considering the structural and non-structural components, establish a railway station function reasoning tree;

[0033] In step S2, the functional support required by the lower layer of each functional system and the support provided to the upper layer system are analyzed through expert experience logic, and the relationship between the functional systems that guarantee the functions of the railway station is determined from bottom to top, so as to establish a railway station function reasoning tree in which the lower layer supports the upper layer system. Figure 3As shown, for the on-line station, passengers reach the platform level from the waiting hall through vertical transportation (stairs), while for the side-line station, passengers need to reach the platform through the structural system (overpass, underground passage). For stations without independent freight station buildings, the freight function and its lower-level systems (F2, A4, Z, C3) may not be listed separately.

[0034] Step S3, based on the component to functional system and each functional system to railway station function reasoning tree, a confidence rule base is established to quantify the relationship between each component and the railway station function;

[0035] In step S3, according to the railway station function reasoning tree, a trust rule base is established from bottom to top for the lower-level system to support the upper-level system function, and then the operating status and probability of the corresponding functional system when each component is in different damage states are obtained, and finally the station function value is inferred.

[0036] In step S3, the damage status of each component is divided into "normal operation (H)", "partial operation (M)" and "stop operation (L)"; based on the railway station function reasoning tree, from the lower layer to the upper layer of the reasoning tree, confidence rules are established layer by layer to infer the function and probability of its upper functional system when each component or functional system is in different damage states.

[0037] For example:

[0038] 1. The confidence rules for the function and probability of the power system for reasoning about the damage status of the substation, power supply and emergency backup power supply components are shown in Table 1 below:

[0039] Table 1

[0040]

[0041] The meaning of this table is: when the substation, power supply and emergency backup power supply are in "normal operation (H)", "partial operation (M)" and "stop operation (L)" states respectively, the probability of the upper power system's operating state "normal operation (H)", "partial operation (M)" and "stop operation (L)" states will be the corresponding values ​​in the table.

[0042] 2. Passenger and freight function reasoning The confidence rules of railway station functions and probabilities are shown in Table 2:

[0043] Table 2

[0044]

[0045] The meaning of this table is: when the passenger function and freight function are in the "normal operation (H)", "partial operation (M)" and "stop operation (L)" states respectively, the probability β of the upper railway station operating state being "normal operation (H)", "partial operation (M)" and "stop operation (L)" 1 , β 2 , β 3 Get the value of the corresponding position in the table.

[0046] Step S4, calculating the earthquake response of the railway station under the target earthquake scenario for the railway station that needs functional evaluation, and then judging the damage of the components according to the vulnerability of the components, or conducting an on-site investigation of the damage of the components after the earthquake;

[0047] In step S4, for the target earthquake scenario, the seismic response of the railway station under study is calculated by finite element analysis software to obtain the inter-story displacement angle and floor peak acceleration of each floor of the station; for all components of the station, the damage state of the components is determined in combination with the seismic demand parameters and vulnerability indicators of their locations; for the actual earthquake scenario, a disaster investigation is conducted to determine the damage status of each component.

[0048] Step S5, weighting the components and functional systems according to the actual passenger flow of the target railway station, bringing the weighted component damage situation into the confidence rule base, and conducting a functional evaluation of the railway station after the earthquake.

[0049] In step S5, for vertical transportation, the inference rules in its sub-rule base are formulated according to the exact capacity of each escalator, staircase, and elevator in the station. Assuming that the capacity of the vertical transportation between the floors under study accounts for the ratio of peak traffic as shown in Table 3, the rules in the vertical transportation sub-rule base can be established, and the expression and definition of some of the rules are shown in Table 4.

[0050] Table 3

[0051]

[0052] Table 4

[0053]

[0054] Among them, when all vertical traffic components are in normal use, the confidence that the working state of vertical traffic is normal operation is 1; when elevator 1 is suspended and other vertical traffic components are in normal use, the confidence that the working state of vertical traffic is normal operation is 0.8, and the confidence that it is a medium-function operating state is 0.2. This confidence is obtained by fuzzy processing based on the ratio of the capacity of elevator 1 after damage to the total capacity, that is, 0.9.

[0055] In step S5, for each floor of the target railway station, the functional partitions existing on the floor are determined. For each functional partition on each floor, the damage conditions of each component in step S4 are used as the bottom input of the confidence rule base in step S3, and the functional state and the corresponding probability are inferred to the upper layer of the rule tree; the same type of functional partitions on different floors are weighted according to the actual frequency of use and used as the input of the upper layer confidence rule; the function state of the target railway station and the corresponding probabilities of different states are calculated upwards, and then according to the formula F=β 1 ×1+β 2 ×0.5+β 3 ×0Calculate the functional value of the target railway station under the target earthquake scenario.

[0056] The following is an example of the post-earthquake damage of a side-type railway station under a certain earthquake disaster scenario. Figure 2 , 3 Describe the specific implementation process of the present invention in detail:

[0057] Step 1: Select a Figure 4 The line-side two-story railway station shown in the figure is taken as the research object. Figure 2 , 3 The railway station function reasoning tree shown is combined with expert experience to obtain the confidence rule base of the railway station;

[0058] Step 2: Given the earthquake response of the station as shown in Table 5, the corresponding damage state is obtained according to the component vulnerability;

[0059] Table 5

[0060]

[0061] Step 3: Take the damage state of each component as the input of the confidence rule base, and calculate the functional state of all functional systems on all floors and the corresponding probability of being in each state;

[0062] Step 4: Weight the states of the same type of functional systems on different floors. In this example, the weights of the functional states of the waiting spaces on the first and second floors are determined to be 0.6 and 0.4 according to the passenger flow of the waiting halls on the first and second floors. The states of the enclosure systems and structural systems on the first and second floors of the station are inferred according to the confidence rule base in steps 2 and 3, and the functional states and probabilities of the waiting spaces on the first and second floors are inferred upward, as shown in Table 6. In this example, the total waiting space function is obtained by summing the probability of the first floor waiting space being in the "normal operation (H)", "partial operation (M)" and "stop operation (L)" states × 0.6 and the probability of the second floor waiting space being in each functional state × 0.4, that is, the probability of the functional state of the total waiting space being in the "normal operation (H)" state is 0.071, the probability of being in the "partial operation (M)" state is 0.141, and the probability of being in the "stop operation (L)" state is 0.788.

[0063] Table 6

[0064]

[0065] Step 5: Continue to reason upward and calculate that the probability that the station function status under the target earthquake condition is in "normal operation (H)" is 0.006, the probability that it is in "partial operation (M)" is 0.324, and the probability that it is in "stop operation (L)" is 0.670. The remaining function value F = 0.0225.

[0066] The present invention also proposes an electronic device, comprising a memory and a processor, wherein the memory stores a computer program, and the processor implements the steps of the method for evaluating the post-earthquake function of a railway station when executing the computer program.

[0067] The present invention also proposes a computer-readable storage medium for storing computer instructions, which, when executed by a processor, implement the steps of the method for evaluating the post-earthquake function of a railway station.

[0068] The memory in the embodiments of the present application may be a volatile memory or a non-volatile memory, or may include both volatile and non-volatile memories. Among them, the non-volatile memory may be a read-only memory (ROM), a programmable read-only memory (PROM), an erasable programmable read-only memory (EPROM), an electrically erasable programmable read-only memory (EEPROM), or a flash memory. The volatile memory may be a random access memory (RAM), which is used as an external cache. By way of example and not limitation, many forms of RAM are available, such as static RAM (SRAM), dynamic RAM (DRAM), synchronous DRAM (SDRAM), double data rate SDRAM (DDRSDRAM), enhanced SDRAM (ESDRAM), synchronous link DRAM (SLDRAM), and direct RAM bus RAM (DRRAM). It should be noted that the memory of the method described in the present invention is intended to include, but is not limited to, these and any other suitable types of memory.

[0069] In the above embodiments, it can be implemented in whole or in part by software, hardware, firmware or any combination thereof. When implemented using software, it can be implemented in whole or in part in the form of a computer program product. The computer program product includes one or more computer instructions. When the computer instructions are loaded and executed on a computer, the process or function described in the embodiment of the present application is generated in whole or in part. The computer may be a general-purpose computer, a special-purpose computer, a computer network, or other programmable device. The computer instructions may be stored in a computer-readable storage medium, or transmitted from one computer-readable storage medium to another computer-readable storage medium, for example, the computer instructions may be transmitted from a website site, computer, server or data center by wired (e.g., coaxial cable, optical fiber, digital subscriber line (digital subscriber line, DSL)) or wireless (e.g., infrared, wireless, microwave, etc.) mode to another website site, computer, server or data center. The computer-readable storage medium may be any available medium that a computer can access or a data storage device such as a server or data center that includes one or more available media integrated. The available medium may be a magnetic medium (eg, a floppy disk, a hard disk, a magnetic tape), an optical medium (eg, a high-density digital video disc (DVD)), or a semiconductor medium (eg, a solid state disc (SSD)).

[0070] In the implementation process, each step of the above method can be completed by an integrated logic circuit of hardware in a processor or an instruction in the form of software. The steps of the method disclosed in conjunction with the embodiment of the present application can be directly embodied as a hardware processor for execution, or a combination of hardware and software modules in a processor for execution. The software module can be located in a storage medium mature in the art such as a random access memory, a flash memory, a read-only memory, a programmable read-only memory or an electrically erasable programmable memory, a register, etc. The storage medium is located in a memory, and the processor reads the information in the memory and completes the steps of the above method in conjunction with its hardware. To avoid repetition, it is not described in detail here.

[0071] It should be noted that the processor in the embodiment of the present application can be an integrated circuit chip with signal processing capabilities. In the implementation process, each step of the above method embodiment can be completed by an integrated logic circuit of hardware in the processor or an instruction in the form of software. The above processor can be a general-purpose processor, a digital signal processor (DSP), an application-specific integrated circuit (ASIC), a field programmable gate array (FPGA) or other programmable logic devices, discrete gates or transistor logic devices, discrete hardware components. The methods, steps and logic block diagrams disclosed in the embodiments of the present application can be implemented or executed. The general-purpose processor can be a microprocessor or the processor can also be any conventional processor, etc. The steps of the method disclosed in the embodiment of the present application can be directly embodied as a hardware decoding processor to perform, or the hardware and software modules in the decoding processor can be combined and performed. The software module can be located in a mature storage medium in the field such as a random access memory, a flash memory, a read-only memory, a programmable read-only memory or an electrically erasable programmable memory, a register, etc. The storage medium is located in a memory, and the processor reads the information in the memory and completes the steps of the above method in combination with its hardware.

[0072] The above is a detailed introduction to a railway station post-earthquake function assessment method proposed in the present invention. Specific examples are used in this article to illustrate the principles and implementation methods of the present invention. The description of the above embodiments is only used to help understand the method of the present invention and its core idea. At the same time, for those skilled in the art, according to the idea of ​​the present invention, there will be changes in the specific implementation method and application scope. In summary, the content of this specification should not be understood as a limitation on the present invention.

Claims

1. A method for evaluating the post-earthquake function of a railway station, characterized in that: The method comprises the following steps: Step S1, determining all components constituting the transport distribution function in the railway station and the relationship between the functional systems composed of the components; Step S2, based on the confidence rule base method, considering the structural and non-structural components, establish a railway station function reasoning tree; Step S3, based on the component to functional system and each functional system to railway station function reasoning tree, a confidence rule base is established to quantify the relationship between each component and the railway station function; Step S4, calculating the earthquake response of the railway station under the target earthquake scenario for the railway station that needs functional evaluation, and then judging the damage of the components according to the vulnerability of the components, or conducting an on-site investigation of the damage of the components after the earthquake; Step S5, weighting the components and functional systems according to the actual passenger flow of the target railway station, bringing the weighted component damage situation into the confidence rule base, and conducting a functional evaluation of the railway station after the earthquake.

2. The method according to claim 1, characterized in that All components that constitute the transportation and distribution function include: beams, slabs, columns, platforms, curtain walls, doors and windows, partitions, suspended ceilings, awnings, stairs, lamps, cooling equipment, air compressors, air handling units, pipelines, information user equipment, communication sources, sewage pipes, fire sprinklers, cold water pipes, water sources, outdoor drainage, substations, power supplies, emergency backup power supplies and control consoles.

3. The method according to claim 1, characterized in that The functional systems composed of components include: structural system, enclosure system, vertical transportation and auxiliary systems; the auxiliary systems include lighting system, HVAC system, communication system, water supply and drainage system, power system and vehicle control system.

4. The method according to claim 1, characterized in that: In step S2, the functional support required by the lower layer of each functional system and the support provided to the upper layer system are analyzed through expert experience logic, and the relationship between the functional systems that guarantee the functions of the railway station is determined from bottom to top, thereby establishing a railway station function reasoning tree that supports the upper layer system from the lower layer.

5. The method according to claim 1, characterized in that In step S3, according to the railway station function reasoning tree, a trust rule base is established from bottom to top for the lower-level system to support the upper-level system function, and then the operating status and probability of the corresponding functional system when each component is in different damage states are obtained, and finally the station function value is inferred.

6. The method according to claim 5, characterized in that In step S3, the damage status of each component is divided into "normal operation H", "partial operation M" and "stop operation L". Based on the railway station function reasoning tree, from the lower layer to the upper layer of the reasoning tree, confidence rules are established layer by layer to infer the function and probability of its upper functional system when each component or functional system is in different damage states.

7. The method according to claim 1, characterized in that In step S4, for the target earthquake scenario, the seismic response of the studied railway station is calculated by finite element analysis software to obtain the inter-story displacement angle and floor peak acceleration of each floor of the station; for all components of the station, the damage state of the components is determined in combination with the seismic demand parameters and vulnerability indicators of their locations; for the actual earthquake scenario, a disaster investigation is conducted to determine the damage status of each component.

8. The method according to claim 7, characterized in that In step S5, for each floor of the target railway station, the functional partitions existing on the floor are determined. For each functional partition on each floor, the damage conditions of each component in step S4 are used as the bottom-level input of the confidence rule base in step S3, and the functional status and corresponding probability are inferred to the upper level of the rule tree; the functions and probabilities of the same type of functional partitions on different floors obtained from the lower level are weighted according to the actual frequency of use as the input of the upper-level confidence rules; the function status of the target railway station and the corresponding probabilities of different states are calculated upward, and then the corresponding functional value of the target railway station under the target earthquake scenario is calculated according to the formula F=β1×1+β2×0.5+β3×0.

9. An electronic device comprising a memory and a processor, wherein the memory stores a computer program, wherein: When the processor executes the computer program, the steps of the method according to any one of claims 1 to 8 are implemented.

10. A computer-readable storage medium for storing computer instructions, characterized in that: When the computer instructions are executed by a processor, the steps of the method according to any one of claims 1 to 8 are implemented.

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