Optimal configuration method and system for fireproof material of immersed tube tunnel in high-temperature environment

By establishing an optimized configuration model for fireproof materials, calculating and fitting the relevant index of the main body of the sinker tunnel and the fireproof materials, the problem of poor configuration efficiency and effectiveness of fireproof materials in the existing technology is solved, and efficient fireproof materials in high-temperature environments are achieved Configuration to meet the fire protection needs of immersed tube tunnels.

CN119108057APending Publication Date: 2024-12-10BEIJING JIAOKE HIGHWAY SURVEYING DESIGN & RES INST +1
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Patent Information

Application Number
CN202411054861.8
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2024-08-02
Publication Date
2024-12-10

AI Technical Summary

Technical Problem

The prior art lacks effective methods for optimizing fireproof material configuration to meet the fireproof needs of immersed tube tunnels in high temperature environments, resulting in poor fireproof material configuration efficiency and effect.

Method used

By obtaining relevant information about the main body of the immersed tube tunnel and fireproof materials, an optimized configuration model is established, and the heat conduction evaluation index of the fireproof materials is calculated, the comprehensive evaluation index of the cost and performance, and the comprehensive evaluation index of the thermal stress and durability of the fireproof materials are fitted to optimize the configuration threshold. Fireproof material configuration.

Benefits of technology

It realizes the automatic and efficient optimization of fireproof materials in high-temperature environments, improves the performance and durability of fireproof materials, and meets the high-temperature fire protection requirements of immersed tube tunnels.

✦ Generated by Eureka AI based on patent content.

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Abstract

The invention discloses an optimal configuration method and system for fireproof materials of an immersed tunnel in a high-temperature environment. The method comprises the steps that temperature information of an immersed tunnel body and material information of the fireproof materials are obtained; setting a fireproof material optimal configuration model, and calculating an optimal configuration index of the fireproof material according to the temperature information and the material information, the fireproof material optimal configuration model comprises the steps of calculating a heat conduction evaluation index of a fireproof material, a comprehensive evaluation index of fireproof material cost and fireproof material performance, and a comprehensive evaluation index of thermal stress and durability of the fireproof material; setting a configuration threshold value of the fireproof material, fitting the fireproof material optimal configuration model, and enabling the optimal configuration index of the fireproof material to be close to the configuration threshold value of the fireproof material, so as to complete the optimal configuration of the fireproof material.
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Description

Technical Field

[0001] The present invention belongs to the technical field of optimal configuration of fireproof materials, and more specifically, relates to an optimal configuration method and system for fireproof materials of an immersed tube tunnel in a high temperature environment. Background Art

[0002] An immersed tube tunnel is a method of constructing an underwater tunnel by building prefabricated tube sections in a dry dock or on a dry seabed, then floating them to a designated location and sinking them underwater to connect them. The following are the main features and construction steps of an immersed tube tunnel:

[0003] Key Features:

[0004] Prefabricated pipe segments: The individual sections (pipe segments) of the immersed tube tunnel are prefabricated in a dry dock or dry construction site and then transported to the site.

[0005] Underwater splicing: After the prefabricated pipe segments are transported to the designated location, they are lowered, docked and fixed to complete the tunnel splicing underwater.

[0006] Fast construction speed: Compared with other underwater tunnel construction methods, immersed tube tunnel construction is generally faster because a large amount of work is done in a dry environment.

[0007] Strong adaptability: Suitable for transportation infrastructure projects across rivers, straits or other water bodies, especially when the underwater geological conditions are relatively complex.

[0008] Due to the usage characteristics of immersed tube tunnels, a higher fire protection level is required, so the main body of the immersed tube tunnel needs to be covered with fire protection materials. However, there is currently no good technical solution for optimizing the configuration of fire protection materials. Summary of the invention

[0009] In order to solve the above technical problems, the present invention proposes a method for optimizing the configuration of fireproof materials for immersed tube tunnels in a high temperature environment, comprising:

[0010] Acquire temperature information of the immersed tube tunnel body and material information of the fireproof material, wherein the temperature information includes: the maximum temperature of the immersed tube tunnel body under high temperature conditions, the upper limit of the safe temperature of the immersed tube tunnel body under high temperature conditions, and the temperature of the external high temperature source; the material information includes: thermal conductivity of the fireproof material, density of the fireproof material, specific heat capacity of the fireproof material, thermal stress of the fireproof material, thermal expansion coefficient of the fireproof material, and tensile strength of the fireproof material;

[0011] Setting a fireproof material optimization configuration model, and calculating the optimization configuration index of the fireproof material according to the temperature information and the material information, wherein the fireproof material optimization configuration model includes: calculating the thermal conductivity evaluation index of the fireproof material, the comprehensive evaluation index of the fireproof material cost and the fireproof material performance, and the comprehensive evaluation index of the thermal stress and durability of the fireproof material;

[0012] The configuration threshold of the fireproof material is set, and the optimization configuration model of the fireproof material is fitted so that the optimization configuration index of the fireproof material is close to the configuration threshold of the fireproof material, so as to complete the optimization configuration of the fireproof material.

[0013] Furthermore, the fireproof material optimization configuration model includes:

[0014] F=α·(F1) β +γ·(F2) δ +η·(F3) ζ

[0015] Among them, F is the optimization configuration index of fireproof materials, α is the weight of the thermal conductivity evaluation index, F1 is the thermal conductivity evaluation index of fireproof materials, β is the first adjustment factor of the thermal conductivity evaluation index, γ is the weight of cost and performance, F2 is the comprehensive evaluation index of fireproof material cost and fireproof material performance, δ is the first adjustment factor of cost and performance, η is the weight of thermal stress and durability, F3 is the comprehensive evaluation index of thermal stress and durability of fireproof materials, and ζ is the first adjustment factor of thermal stress and durability.

[0016] Furthermore, the thermal conductivity evaluation index F1 of the fireproof material includes:

[0017]

[0018] Where k is the thermal conductivity of the fireproof material, ρ is the density of the fireproof material, C p is the specific heat capacity of the fireproof material, T max is the maximum temperature of the immersed tunnel body under high temperature conditions, T safe is the upper limit of the safe temperature of the immersed tube tunnel under high temperature conditions, σ is the trade-off between the thermal stability and thermal conductivity of the fireproof material, T source is the temperature of the external high temperature source, α′ is the second adjustment factor of the thermal conductivity evaluation index, β′ is the design life of the fireproof material, γ is the thermal stress of the fireproof material, η is the thermal expansion coefficient of the fireproof material, θ is the tensile strength of the fireproof material, and δ′ is the third adjustment factor of the thermal conductivity evaluation index.

[0019] Furthermore, the comprehensive evaluation index F2 of fireproof material cost and fireproof material performance includes:

[0020]

[0021] Among them, C cost is the cost of fireproof materials, F fire is the fire resistance grade of the fireproof material, γ′ is the second adjustment factor of cost and performance, λ is the tensile strength of the fireproof material, μ is the durability of the fireproof material at high temperature, and ξ is the third adjustment factor of cost and performance.

[0022] Furthermore, the comprehensive evaluation index F3 of thermal stress and durability of fireproof materials includes:

[0023]

[0024] Among them, τ is the adjustment factor of the design life of the fireproof material, δ″ is the thermal stress of the fireproof material at high temperature, ∈ is the density of the fireproof material at high temperature, ζ′ is the second adjustment factor of thermal stress and durability, and κ′ is the third adjustment factor of thermal stress and durability.

[0025] The present invention also proposes an optimization configuration system for fireproof materials of immersed tube tunnels in high temperature environments, comprising:

[0026] An information acquisition module is used to acquire temperature information of the immersed tube tunnel body and material information of the fireproof material, wherein the temperature information includes: the maximum temperature of the immersed tube tunnel body under high temperature conditions, the upper limit of the safe temperature of the immersed tube tunnel body under high temperature conditions, and the temperature of the external high temperature source; and the material information includes: thermal conductivity of the fireproof material, density of the fireproof material, specific heat capacity of the fireproof material, thermal stress of the fireproof material, thermal expansion coefficient of the fireproof material, and tensile strength of the fireproof material;

[0027] Setting a model module, used to set a fireproof material optimization configuration model, and calculating the optimization configuration index of the fireproof material according to the temperature information and the material information, wherein the fireproof material optimization configuration model includes: calculating the thermal conductivity evaluation index of the fireproof material, the comprehensive evaluation index of the fireproof material cost and the fireproof material performance, and the comprehensive evaluation index of the thermal stress and durability of the fireproof material;

[0028] The optimization module is used to set the configuration threshold of the fireproof material, fit the fireproof material optimization configuration model, make the optimization configuration index of the fireproof material close to the configuration threshold of the fireproof material, so as to complete the optimization configuration of the fireproof material.

[0029] Furthermore, the fireproof material optimization configuration model includes:

[0030] F=α·(F1) β +γ·(F2) δ +η·(F3) ζ

[0031] Among them, F is the optimization configuration index of fireproof materials, α is the weight of the thermal conductivity evaluation index, F1 is the thermal conductivity evaluation index of fireproof materials, β is the first adjustment factor of the thermal conductivity evaluation index, γ is the weight of cost and performance, F2 is the comprehensive evaluation index of fireproof material cost and fireproof material performance, δ is the first adjustment factor of cost and performance, η is the weight of thermal stress and durability, F3 is the comprehensive evaluation index of thermal stress and durability of fireproof materials, and ζ is the first adjustment factor of thermal stress and durability.

[0032] Furthermore, the thermal conductivity evaluation index F1 of the fireproof material includes:

[0033]

[0034] Where k is the thermal conductivity of the fireproof material, ρ is the density of the fireproof material, C p is the specific heat capacity of the fireproof material, T max is the maximum temperature of the immersed tunnel body under high temperature conditions, T safe is the upper limit of the safe temperature of the immersed tube tunnel under high temperature conditions, σ is the trade-off between the thermal stability and thermal conductivity of the fireproof material, T source is the temperature of the external high temperature source, α′ is the second adjustment factor of the thermal conductivity evaluation index, β′ is the design life of the fireproof material, γ is the thermal stress of the fireproof material, η is the thermal expansion coefficient of the fireproof material, θ is the tensile strength of the fireproof material, and δ′ is the third adjustment factor of the thermal conductivity evaluation index.

[0035] Furthermore, the comprehensive evaluation index F2 of fireproof material cost and fireproof material performance includes:

[0036]

[0037] Among them, C cost is the cost of fireproof materials, F fire is the fire resistance grade of the fireproof material, γ′ is the second adjustment factor of cost and performance, λ is the tensile strength of the fireproof material, μ is the durability of the fireproof material at high temperature, and ξ is the third adjustment factor of cost and performance.

[0038] Furthermore, the comprehensive evaluation index F3 of thermal stress and durability of fireproof materials includes:

[0039]

[0040] Among them, τ is the adjustment factor of the design life of the fireproof material, δ" is the thermal stress of the fireproof material at high temperature, ∈ is the density of the fireproof material at high temperature, ζ′ is the second adjustment factor of thermal stress and durability, and κ′ is the third adjustment factor of thermal stress and durability.

[0041] Compared with the prior art, the above technical solution conceived by the present invention has the following beneficial effects:

[0042] The present invention sets a fireproof material optimization configuration model, and calculates the optimization configuration index of the fireproof material according to the temperature information and the material information, wherein the fireproof material optimization configuration model includes: calculating the heat conduction evaluation index of the fireproof material, the comprehensive evaluation index of the fireproof material cost and the fireproof material performance, and the comprehensive evaluation index of the thermal stress and durability of the fireproof material; setting the configuration threshold of the fireproof material, fitting the fireproof material optimization configuration model, so that the optimization configuration index of the fireproof material is close to the configuration threshold of the fireproof material, so as to complete the optimization configuration of the fireproof material. Through the above technical scheme, the present invention can automatically and efficiently complete the optimization configuration of the fireproof material. BRIEF DESCRIPTION OF THE DRAWINGS

[0043] Figure 1 is a flow chart of the method of embodiment 1 of the present invention;

[0044] Figure 2 It is a system structure diagram of embodiment 2 of the present invention. DETAILED DESCRIPTION

[0045] In order to better understand the above technical solution, the above technical solution will be described in detail below in conjunction with the accompanying drawings and specific implementation methods.

[0046] The method provided by the present invention can be implemented in the following terminal environment, and the terminal may include one or more of the following components: a processor, a storage medium, and a display screen. The storage medium stores at least one instruction, and the instruction is loaded and executed by the processor to implement the method described in the following embodiment.

[0047] The processor may include one or more processing cores. The processor uses various interfaces and lines to connect various parts in the entire terminal, and executes various functions of the terminal and processes data by running or executing instructions, programs, code sets or instruction sets stored in the storage medium, and calling data stored in the storage medium.

[0048] The storage medium may include a random access memory (RAM) or a read-only memory (ROM). The storage medium may be used to store instructions, programs, codes, code sets or instructions.

[0049] The display is used to show the interactive cross-section of each application.

[0050] All subscripts in the formulas of the present invention are only used to distinguish parameters and have no actual meaning.

[0051] In addition, those skilled in the art can understand that the structure of the above terminal does not constitute a limitation on the terminal, and the terminal may include more or fewer components, or combine certain components, or arrange the components differently. For example, the terminal also includes components such as a radio frequency circuit, an input unit, a sensor, an audio circuit, and a power supply, which will not be described in detail here.

[0052] Example 1

[0053] like Figure 1 As shown, the present invention proposes a method for optimizing the configuration of fireproof materials for immersed tube tunnels in a high temperature environment, comprising:

[0054] Step 101, obtaining temperature information of the immersed tube tunnel body and material information of the fireproof material, wherein the temperature information includes: the maximum temperature of the immersed tube tunnel body under high temperature conditions, the upper limit of the safe temperature of the immersed tube tunnel body under high temperature conditions, and the temperature of the external high temperature source; the material information includes: thermal conductivity of the fireproof material, density of the fireproof material, specific heat capacity of the fireproof material, thermal stress of the fireproof material, thermal expansion coefficient of the fireproof material, and tensile strength of the fireproof material;

[0055] Step 102, setting a fireproof material optimization configuration model, and calculating the optimization configuration index of the fireproof material according to the temperature information and the material information, wherein the fireproof material optimization configuration model includes: calculating the thermal conductivity evaluation index of the fireproof material, the comprehensive evaluation index of the fireproof material cost and the fireproof material performance, and the comprehensive evaluation index of the thermal stress and durability of the fireproof material;

[0056] Specifically, the fireproof material optimization configuration model includes:

[0057] F=α·(F1) β +γ·(F2) δ +η·(F3) ζ

[0058] Among them, F is the optimization configuration index of fireproof materials, α is the weight of the thermal conductivity evaluation index, F1 is the thermal conductivity evaluation index of fireproof materials, β is the first adjustment factor of the thermal conductivity evaluation index, γ is the weight of cost and performance, F2 is the comprehensive evaluation index of fireproof material cost and fireproof material performance, δ is the first adjustment factor of cost and performance, η is the weight of thermal stress and durability, F3 is the comprehensive evaluation index of thermal stress and durability of fireproof materials, and ζ is the first adjustment factor of thermal stress and durability.

[0059] Specifically, the thermal conductivity evaluation index F1 of fireproof materials includes:

[0060]

[0061] Where k is the thermal conductivity of the fireproof material, ρ is the density of the fireproof material, C p is the specific heat capacity of the fireproof material, T max is the maximum temperature of the immersed tunnel body under high temperature conditions, T safe is the upper limit of the safe temperature of the immersed tube tunnel under high temperature conditions, σ is the trade-off between the thermal stability and thermal conductivity of the fireproof material, T source is the temperature of the external high temperature source, α′ is the second adjustment factor of the thermal conductivity evaluation index, β′ is the design life of the fireproof material, γ is the thermal stress of the fireproof material, η is the thermal expansion coefficient of the fireproof material, θ is the tensile strength of the fireproof material, and δ′ is the third adjustment factor of the thermal conductivity evaluation index.

[0062] Specifically, the comprehensive evaluation index F2 of fireproof material cost and fireproof material performance includes:

[0063]

[0064] Among them, C cost is the cost of fireproof materials, F fire is the fire resistance grade of the fireproof material, γ′ is the second adjustment factor of cost and performance, λ is the tensile strength of the fireproof material, μ is the durability of the fireproof material at high temperature, and ξ is the third adjustment factor of cost and performance.

[0065] Specifically, the comprehensive evaluation index F3 of thermal stress and durability of fireproof materials includes:

[0066]

[0067] Among them, τ is the adjustment factor of the design life of the fireproof material, δ″ is the thermal stress of the fireproof material at high temperature, ∈ is the density of the fireproof material at high temperature, ζ′ is the second adjustment factor of thermal stress and durability, and κ′ is the third adjustment factor of thermal stress and durability.

[0068] Step 103, setting a configuration threshold of the fireproof material, fitting the fireproof material optimization configuration model, making the optimization configuration index of the fireproof material close to the configuration threshold of the fireproof material, so as to complete the optimization configuration of the fireproof material.

[0069] Example 2

[0070] like Figure 2 As shown, the embodiment of the present invention also proposes an optimization configuration system for fireproof materials of immersed tube tunnels in a high temperature environment, comprising:

[0071] An information acquisition module is used to acquire temperature information of the immersed tube tunnel body and material information of the fireproof material, wherein the temperature information includes: the maximum temperature of the immersed tube tunnel body under high temperature conditions, the upper limit of the safe temperature of the immersed tube tunnel body under high temperature conditions, and the temperature of the external high temperature source; and the material information includes: thermal conductivity of the fireproof material, density of the fireproof material, specific heat capacity of the fireproof material, thermal stress of the fireproof material, thermal expansion coefficient of the fireproof material, and tensile strength of the fireproof material;

[0072] Setting a model module, used to set a fireproof material optimization configuration model, and calculating the optimization configuration index of the fireproof material according to the temperature information and the material information, wherein the fireproof material optimization configuration model includes: calculating the thermal conductivity evaluation index of the fireproof material, the comprehensive evaluation index of the fireproof material cost and the fireproof material performance, and the comprehensive evaluation index of the thermal stress and durability of the fireproof material;

[0073] Specifically, the fireproof material optimization configuration model includes:

[0074] F=α·(F1) β +γ·(F2) δ +η·(F3) ζ

[0075] Among them, F is the optimization configuration index of fireproof materials, α is the weight of the thermal conductivity evaluation index, F1 is the thermal conductivity evaluation index of fireproof materials, β is the first adjustment factor of the thermal conductivity evaluation index, γ is the weight of cost and performance, F2 is the comprehensive evaluation index of fireproof material cost and fireproof material performance, δ is the first adjustment factor of cost and performance, η is the weight of thermal stress and durability, F3 is the comprehensive evaluation index of thermal stress and durability of fireproof materials, and ζ is the first adjustment factor of thermal stress and durability.

[0076] Specifically, the thermal conductivity evaluation index F1 of fireproof materials includes:

[0077]

[0078] Where k is the thermal conductivity of the fireproof material, ρ is the density of the fireproof material, C p is the specific heat capacity of the fireproof material, T max is the maximum temperature of the immersed tunnel body under high temperature conditions, T safe is the upper limit of the safe temperature of the immersed tube tunnel under high temperature conditions, σ is the trade-off between the thermal stability and thermal conductivity of the fireproof material, T source is the temperature of the external high temperature source, α′ is the second adjustment factor of the thermal conductivity evaluation index, β′ is the design life of the fireproof material, γ is the thermal stress of the fireproof material, η is the thermal expansion coefficient of the fireproof material, θ is the tensile strength of the fireproof material, and δ′ is the third adjustment factor of the thermal conductivity evaluation index.

[0079] Specifically, the comprehensive evaluation index F2 of fireproof material cost and fireproof material performance includes:

[0080]

[0081] Among them, C cost is the cost of fireproof materials, F fire is the fire resistance grade of the fireproof material, γ′ is the second adjustment factor of cost and performance, λ is the tensile strength of the fireproof material, μ is the durability of the fireproof material at high temperature, and ξ is the third adjustment factor of cost and performance.

[0082] Specifically, the comprehensive evaluation index F3 of thermal stress and durability of fireproof materials includes:

[0083]

[0084] Among them, τ is the adjustment factor of the design life of the fireproof material, δ″ is the thermal stress of the fireproof material at high temperature, ∈ is the density of the fireproof material at high temperature, ζ′ is the second adjustment factor of thermal stress and durability, and κ′ is the third adjustment factor of thermal stress and durability.

[0085] The optimization module is used to set the configuration threshold of the fireproof material, fit the fireproof material optimization configuration model, make the optimization configuration index of the fireproof material close to the configuration threshold of the fireproof material, so as to complete the optimization configuration of the fireproof material.

[0086] Example 3

[0087] The embodiment of the present invention further proposes a storage medium storing a plurality of instructions, wherein the instructions are used to implement the method for optimizing the configuration of fireproof materials for an immersed tube tunnel in a high temperature environment.

[0088] Optionally, in this embodiment, the above storage medium may be located in any computer terminal in a computer terminal group in a computer network, or in any mobile terminal in a mobile terminal group.

[0089] Optionally, in this embodiment, the storage medium is configured to store program codes for executing the following steps: Step 101, obtaining temperature information of the immersed tube tunnel body and material information of the fireproof material, wherein the temperature information includes: the maximum temperature of the immersed tube tunnel body under high temperature conditions, the upper limit of the safe temperature of the immersed tube tunnel body under high temperature conditions, and the temperature of the external high temperature source, and the material information includes: thermal conductivity of the fireproof material, density of the fireproof material, specific heat capacity of the fireproof material, thermal stress of the fireproof material, thermal expansion coefficient of the fireproof material, and tensile strength of the fireproof material;

[0090] Step 102, setting a fireproof material optimization configuration model, and calculating the optimization configuration index of the fireproof material according to the temperature information and the material information, wherein the fireproof material optimization configuration model includes: calculating the thermal conductivity evaluation index of the fireproof material, the comprehensive evaluation index of the fireproof material cost and the fireproof material performance, and the comprehensive evaluation index of the thermal stress and durability of the fireproof material;

[0091] Specifically, the fireproof material optimization configuration model includes:

[0092] F=α·(F1) β +γ·(F2) δ +η·(F3) ζ

[0093] Among them, F is the optimization configuration index of fireproof materials, α is the weight of the thermal conductivity evaluation index, F1 is the thermal conductivity evaluation index of fireproof materials, β is the first adjustment factor of the thermal conductivity evaluation index, γ is the weight of cost and performance, F2 is the comprehensive evaluation index of fireproof material cost and fireproof material performance, δ is the first adjustment factor of cost and performance, η is the weight of thermal stress and durability, F3 is the comprehensive evaluation index of thermal stress and durability of fireproof materials, and ζ is the first adjustment factor of thermal stress and durability.

[0094] Specifically, the thermal conductivity evaluation index F1 of fireproof materials includes:

[0095]

[0096] Where k is the thermal conductivity of the fireproof material, ρ is the density of the fireproof material, C p is the specific heat capacity of the fireproof material, T max is the maximum temperature of the immersed tunnel body under high temperature conditions, T safe is the upper limit of the safe temperature of the immersed tube tunnel under high temperature conditions, σ is the trade-off between the thermal stability and thermal conductivity of the fireproof material, T source is the temperature of the external high temperature source, α′ is the second adjustment factor of the thermal conductivity evaluation index, β′ is the design life of the fireproof material, γ is the thermal stress of the fireproof material, η is the thermal expansion coefficient of the fireproof material, θ is the tensile strength of the fireproof material, and δ′ is the third adjustment factor of the thermal conductivity evaluation index.

[0097] Specifically, the comprehensive evaluation index F2 of fireproof material cost and fireproof material performance includes:

[0098]

[0099] Among them, C cost is the cost of fireproof materials, F fireis the fire resistance grade of the fireproof material, γ′ is the second adjustment factor of cost and performance, λ is the tensile strength of the fireproof material, μ is the durability of the fireproof material at high temperature, and ξ is the third adjustment factor of cost and performance.

[0100] Specifically, the comprehensive evaluation index F3 of thermal stress and durability of fireproof materials includes:

[0101]

[0102] Among them, τ is the adjustment factor of the design life of the fireproof material, δ″ is the thermal stress of the fireproof material at high temperature, ∈ is the density of the fireproof material at high temperature, ζ′ is the second adjustment factor of thermal stress and durability, and κ′ is the third adjustment factor of thermal stress and durability.

[0103] Step 103, setting a configuration threshold of the fireproof material, fitting the fireproof material optimization configuration model, making the optimization configuration index of the fireproof material close to the configuration threshold of the fireproof material, so as to complete the optimization configuration of the fireproof material.

[0104] Example 4

[0105] An embodiment of the present invention also proposes an electronic device, including a processor and a storage medium connected to the processor, wherein the storage medium stores multiple instructions, which can be loaded and executed by the processor so that the processor can execute a method for optimizing the configuration of fire-resistant materials for immersed tube tunnels in a high-temperature environment.

[0106] Specifically, the electronic device of this embodiment may be a computer terminal, and the computer terminal may include: one or more processors, and a storage medium.

[0107] Among them, the storage medium can be used to store software programs and modules, such as a method for optimizing the configuration of fireproof materials for immersed tube tunnels under high temperature environments in an embodiment of the present invention, and corresponding program instructions / modules. The processor executes various functional applications and data processing by running the software programs and modules stored in the storage medium, that is, realizing the above-mentioned method for optimizing the configuration of fireproof materials for immersed tube tunnels under high temperature environments. The storage medium may include high-speed random storage media, and may also include non-volatile storage media, such as one or more magnetic storage systems, flash memory, or other non-volatile solid-state storage media. In some instances, the storage medium may further include storage media remotely arranged relative to the processor, and these remote storage media may be connected to the terminal via a network. Examples of the above-mentioned network include, but are not limited to, the Internet, corporate intranets, local area networks, mobile communication networks, and combinations thereof.

[0108] The processor may call the information and application program stored in the storage medium through the transmission system to execute the following steps: Step 101, obtaining the temperature information of the immersed tube tunnel body and the material information of the fireproof material, wherein the temperature information includes: the maximum temperature of the immersed tube tunnel body under high temperature conditions, the upper limit of the safe temperature of the immersed tube tunnel body under high temperature conditions, and the temperature of the external high temperature source; the material information includes: the thermal conductivity of the fireproof material, the density of the fireproof material, the specific heat capacity of the fireproof material, the thermal stress of the fireproof material, the thermal expansion coefficient of the fireproof material, and the tensile strength of the fireproof material;

[0109] Step 102, setting a fireproof material optimization configuration model, and calculating the optimization configuration index of the fireproof material according to the temperature information and the material information, wherein the fireproof material optimization configuration model includes: calculating the thermal conductivity evaluation index of the fireproof material, the comprehensive evaluation index of the fireproof material cost and the fireproof material performance, and the comprehensive evaluation index of the thermal stress and durability of the fireproof material;

[0110] Specifically, the fireproof material optimization configuration model includes:

[0111] F=α·(F1) β +γ·(F2) δ +η·(F3) ζ

[0112] Among them, F is the optimization configuration index of fireproof materials, α is the weight of the thermal conductivity evaluation index, F1 is the thermal conductivity evaluation index of fireproof materials, β is the first adjustment factor of the thermal conductivity evaluation index, γ is the weight of cost and performance, F2 is the comprehensive evaluation index of fireproof material cost and fireproof material performance, δ is the first adjustment factor of cost and performance, η is the weight of thermal stress and durability, F3 is the comprehensive evaluation index of thermal stress and durability of fireproof materials, and ζ is the first adjustment factor of thermal stress and durability.

[0113] Specifically, the thermal conductivity evaluation index F1 of fireproof materials includes:

[0114]

[0115] Where k is the thermal conductivity of the fireproof material, ρ is the density of the fireproof material, C p is the specific heat capacity of the fireproof material, T max is the maximum temperature of the immersed tunnel body under high temperature conditions, T safe is the upper limit of the safe temperature of the immersed tube tunnel under high temperature conditions, σ is the trade-off between the thermal stability and thermal conductivity of the fireproof material, T sourceis the temperature of the external high temperature source, α′ is the second adjustment factor of the thermal conductivity evaluation index, β′ is the design life of the fireproof material, γ is the thermal stress of the fireproof material, η is the thermal expansion coefficient of the fireproof material, θ is the tensile strength of the fireproof material, and δ′ is the third adjustment factor of the thermal conductivity evaluation index.

[0116] Specifically, the comprehensive evaluation index F2 of fireproof material cost and fireproof material performance includes:

[0117]

[0118] Among them, C cost is the cost of fireproof materials, F fire is the fire resistance grade of the fireproof material, γ′ is the second adjustment factor of cost and performance, λ is the tensile strength of the fireproof material, μ is the durability of the fireproof material at high temperature, and ξ is the third adjustment factor of cost and performance.

[0119] Specifically, the comprehensive evaluation index F3 of thermal stress and durability of fireproof materials includes:

[0120]

[0121] Among them, τ is the adjustment factor of the design life of the fireproof material, δ″ is the thermal stress of the fireproof material at high temperature, ∈ is the density of the fireproof material at high temperature, ζ′ is the second adjustment factor of thermal stress and durability, and κ′ is the third adjustment factor of thermal stress and durability.

[0122] Step 103, setting a configuration threshold of the fireproof material, fitting the fireproof material optimization configuration model, making the optimization configuration index of the fireproof material close to the configuration threshold of the fireproof material, so as to complete the optimization configuration of the fireproof material.

[0123] The serial numbers of the above embodiments of the present invention are only for description and do not represent the advantages or disadvantages of the embodiments.

[0124] In the above embodiments of the present invention, the description of each embodiment has its own emphasis. For parts that are not described in detail in a certain embodiment, reference can be made to the relevant descriptions of other embodiments.

[0125] In the several embodiments provided by the present invention, it should be understood that the disclosed technical content can be implemented in other ways. Among them, the system embodiments described above are only schematic. For example, the division of the units is only a logical function division. There may be other division methods in actual implementation. For example, multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the mutual coupling or direct coupling or communication connection shown or discussed can be through some interfaces, indirect coupling or communication connection of units or modules, which can be electrical or other forms.

[0126] The units described as separate components may or may not be physically separated, and the components shown as units may or may not be physical units, that is, they may be located in one place or distributed on multiple network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0127] In addition, each functional unit in each embodiment of the present invention may be integrated into one processing unit, or each unit may exist physically separately, or two or more units may be integrated into one unit. The above-mentioned integrated unit may be implemented in the form of hardware or in the form of software functional units.

[0128] If the integrated unit is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present invention, or the part that contributes to the prior art, or all or part of the technical solution can be embodied in the form of a software product, and the computer software product is stored in a storage medium, including a number of instructions for a computer device (which can be a personal computer, a server or a network device, etc.) to perform all or part of the steps of the method described in each embodiment of the present invention. The aforementioned storage medium includes: U disk, read-only storage medium (ROM, Read-Only Memory), random access storage medium (RAM, Random Access Memory), mobile hard disk, magnetic disk or optical disk and other media that can store program codes.

[0129] Obviously, the above embodiments are merely examples for the purpose of clear explanation, and are not intended to limit the implementation methods. For those skilled in the art, other different forms of changes or modifications can be made based on the above description. It is not necessary and impossible to list all the implementation methods here. The obvious changes or modifications derived therefrom are still within the scope of protection of the invention.

Claims

1. A method for optimizing the configuration of fireproof materials for immersed tube tunnels in high temperature environments. It is characterized in that include: Acquire temperature information of the immersed tube tunnel body and material information of the fireproof material, wherein the temperature information includes: the maximum temperature of the immersed tube tunnel body under high temperature conditions, the upper limit of the safe temperature of the immersed tube tunnel body under high temperature conditions, and the temperature of the external high temperature source; the material information includes: thermal conductivity of the fireproof material, density of the fireproof material, specific heat capacity of the fireproof material, thermal stress of the fireproof material, thermal expansion coefficient of the fireproof material, and tensile strength of the fireproof material; Setting a fireproof material optimization configuration model, and calculating the optimization configuration index of the fireproof material according to the temperature information and the material information, wherein the fireproof material optimization configuration model includes: calculating the thermal conductivity evaluation index of the fireproof material, the comprehensive evaluation index of the fireproof material cost and the fireproof material performance, and the comprehensive evaluation index of the thermal stress and durability of the fireproof material; The configuration threshold of the fireproof material is set, and the optimization configuration model of the fireproof material is fitted so that the optimization configuration index of the fireproof material is close to the configuration threshold of the fireproof material, so as to complete the optimization configuration of the fireproof material.

2. The method for optimizing the configuration of fireproof materials for immersed tube tunnels in high temperature environments as claimed in claim 1, It is characterized in that The fireproof material optimization configuration model includes: F=α·(F 1 ) β +γ·(F 2 ) δ +η·(F 3 ) ζ Among them, F is the optimization configuration index of fireproof materials, α is the weight of thermal conductivity evaluation index, and F 1 is the thermal conductivity evaluation index of fireproof materials, γ is the first adjustment factor of thermal conductivity evaluation index, γ is the weight of cost and performance, F 2 is the comprehensive evaluation index of fireproof material cost and fireproof material performance, δ is the first adjustment factor of cost and performance, η is the weight of thermal stress and durability, F 3 It is a comprehensive evaluation index of thermal stress and durability of fireproof materials, and ζ is the first adjustment factor of thermal stress and durability.

3. The method for optimizing the configuration of fireproof materials for immersed tube tunnels in high temperature environments as claimed in claim 2, It is characterized in that Thermal conductivity evaluation index F of fireproof materials 1 include: Where k is the thermal conductivity of the fireproof material, ρ is the density of the fireproof material, C p is the specific heat capacity of the fireproof material, T max is the maximum temperature of the immersed tunnel body under high temperature conditions, T safe is the upper limit of the safe temperature of the immersed tube tunnel under high temperature conditions, σ is the trade-off between the thermal stability and thermal conductivity of the fireproof material, T source is the temperature of the external high temperature source, α′ is the second adjustment factor of the thermal conductivity evaluation index, β′ is the design life of the fireproof material, γ is the thermal stress of the fireproof material, η is the thermal expansion coefficient of the fireproof material, θ is the tensile strength of the fireproof material, and δ′ is the third adjustment factor of the thermal conductivity evaluation index.

4. The method for optimizing the configuration of fireproof materials for immersed tube tunnels in high temperature environments as claimed in claim 3, It is characterized in that Comprehensive evaluation index F of fireproof material cost and fireproof material performance 2 include: Among them, C cost is the cost of fireproof materials, F fire is the fire resistance grade of the fireproof material, γ′ is the second adjustment factor of cost and performance, λ is the tensile strength of the fireproof material, μ is the durability of the fireproof material at high temperature, and ξ is the third adjustment factor of cost and performance.

5. The method for optimizing the configuration of fireproof materials for immersed tube tunnels in high temperature environments as claimed in claim 4, It is characterized in that Comprehensive evaluation index F of thermal stress and durability of fireproof materials 3 include: Among them, τ is the adjustment factor of the design life of the fireproof material, δ″ is the thermal stress of the fireproof material at high temperature, ∈ is the density of the fireproof material at high temperature, ζ′ is the second adjustment factor of thermal stress and durability, and κ′ is the third adjustment factor of thermal stress and durability.

6. An optimization configuration system for fireproof materials of immersed tube tunnels in high temperature environments. It is characterized in that include: An information acquisition module is used to acquire temperature information of the immersed tube tunnel body and material information of the fireproof material, wherein the temperature information includes: the maximum temperature of the immersed tube tunnel body under high temperature conditions, the upper limit of the safe temperature of the immersed tube tunnel body under high temperature conditions, and the temperature of the external high temperature source; and the material information includes: thermal conductivity of the fireproof material, density of the fireproof material, specific heat capacity of the fireproof material, thermal stress of the fireproof material, thermal expansion coefficient of the fireproof material, and tensile strength of the fireproof material; Setting a model module, used to set a fireproof material optimization configuration model, and calculating the optimization configuration index of the fireproof material according to the temperature information and the material information, wherein the fireproof material optimization configuration model includes: calculating the thermal conductivity evaluation index of the fireproof material, the comprehensive evaluation index of the fireproof material cost and the fireproof material performance, and the comprehensive evaluation index of the thermal stress and durability of the fireproof material; The optimization module is used to set the configuration threshold of the fireproof material, fit the fireproof material optimization configuration model, make the optimization configuration index of the fireproof material close to the configuration threshold of the fireproof material, so as to complete the optimization configuration of the fireproof material.

7. The optimal configuration system of fireproof materials for immersed tube tunnels in high temperature environments as claimed in claim 6, It is characterized in that The fireproof material optimization configuration model includes: F=α·(F 1 ) β +γ·(F 2 ) δ +η·(F 3 ) ζ Among them, F is the optimization configuration index of fireproof materials, α is the weight of thermal conductivity evaluation index, and F 1 is the thermal conductivity evaluation index of the fireproof material, β is the first adjustment factor of the thermal conductivity evaluation index, γ is the weight of cost and performance, F 2 is the comprehensive evaluation index of fireproof material cost and fireproof material performance, δ is the first adjustment factor of cost and performance, η is the weight of thermal stress and durability, F 3 It is a comprehensive evaluation index of thermal stress and durability of fireproof materials, and ζ is the first adjustment factor of thermal stress and durability.

8. The optimal configuration system of fireproof materials for immersed tunnels in high temperature environments as claimed in claim 7, It is characterized in that Thermal conductivity evaluation index F of fireproof materials 1 include: Where k is the thermal conductivity of the fireproof material, ρ is the density of the fireproof material, C p is the specific heat capacity of the fireproof material, T max is the maximum temperature of the immersed tunnel body under high temperature conditions, T safe is the upper limit of the safe temperature of the immersed tube tunnel under high temperature conditions, σ is the trade-off between the thermal stability and thermal conductivity of the fireproof material, T source is the temperature of the external high temperature source, α′ is the second adjustment factor of the thermal conductivity evaluation index, β′ is the design life of the fireproof material, γ is the thermal stress of the fireproof material, η is the thermal expansion coefficient of the fireproof material, θ is the tensile strength of the fireproof material, and δ′ is the third adjustment factor of the thermal conductivity evaluation index.

9. The optimal configuration system of fireproof materials for immersed tunnels in high temperature environments as claimed in claim 8, It is characterized in that Comprehensive evaluation index F of fireproof material cost and fireproof material performance 2 include: Among them, C cost is the cost of fireproof materials, F fire is the fire resistance grade of the fireproof material, γ′ is the second adjustment factor of cost and performance, λ is the tensile strength of the fireproof material, μ is the durability of the fireproof material at high temperature, and ξ is the third adjustment factor of cost and performance.

10. The optimal configuration system of fireproof materials for immersed tunnels in high temperature environments as claimed in claim 9, It is characterized in that Comprehensive evaluation index F of thermal stress and durability of fireproof materials 3 include: Among them, τ is the adjustment factor of the design life of the fireproof material, δ″ is the thermal stress of the fireproof material at high temperature, ∈ is the density of the fireproof material at high temperature, ζ′ is the second adjustment factor of thermal stress and durability, and κ′ is the third adjustment factor of thermal stress and durability.