Ultra-high performance concrete pouring method and system for cable-stayed bridges

Abstract

The present invention discloses an ultra-high performance concrete pouring method and system for a cable-stayed bridge, the method comprising: obtaining pouring information when pouring concrete; setting a first evaluation model of concrete fluidity and a second evaluation model of concrete fluidity, and respectively calculating a first fluidity index of concrete when pouring concrete and a second fluidity index of concrete when pouring concrete according to the pouring information, and obtaining an average value of the first fluidity index and the second fluidity index; sampling the poured concrete periodically to obtain a sample of the poured concrete, and setting a concrete pouring quality evaluation model according to the average value, calculating a comprehensive score of the concrete pouring quality, and when the comprehensive score of the concrete pouring quality is lower than a preset threshold, adjusting parameters in the first fluidity evaluation model and / or the second fluidity evaluation model until the comprehensive score of the concrete pouring quality exceeds the preset threshold.

Description

Technical Field

[0001] The present invention belongs to the technical field of concrete pouring, and more specifically, relates to an ultra-high performance concrete pouring method and system for a cable-stayed bridge. Background Art

[0002] Ultra-High Performance Concrete (UHPC) is a new type of concrete material with extremely high compressive strength, tensile strength and durability, usually composed of cement, silica fume, quartz sand, high-performance fly ash, fiber and other materials. Its formula and preparation process are relatively complex, but it can produce extremely outstanding performance.

[0003] Ultra-high performance concrete requires special attention and skills during the pouring process of cable-stayed bridges to ensure that the structure and performance of the cable-stayed bridge are optimized to the maximum extent.

[0004] However, at present, the pouring of ultra-high performance concrete mainly relies on experienced manual labor to monitor and adjust the pouring quality, which is inefficient and difficult to ensure the quality. Therefore, an automatic and efficient technical solution is urgently needed. Summary of the invention

[0005] In order to solve the above technical problems, the present invention proposes an ultra-high performance concrete pouring method for a cable-stayed bridge, comprising:

[0006] Acquire pouring information during concrete pouring, wherein the pouring information includes: template cross-sectional area, pouring time, initial setting time and concrete flow rate;

[0007] Setting a first evaluation model of concrete fluidity and a second evaluation model of concrete fluidity, and respectively calculating a first fluidity index of concrete when pouring concrete and a second fluidity index of concrete when pouring concrete according to the pouring information, and obtaining an average value of the first fluidity index and the second fluidity index;

[0008] When the poured concrete is sampled periodically to obtain the poured concrete sampling samples, and according to the average value, a concrete pouring quality evaluation model is set to calculate the comprehensive score of the concrete pouring quality, when the comprehensive score of the concrete pouring quality is lower than a preset threshold, the parameters in the first fluidity evaluation model and / or the second fluidity evaluation model are adjusted until the comprehensive score of the concrete pouring quality exceeds the preset threshold.

[0009] Furthermore, the first evaluation model of concrete fluidity includes:

[0010]

[0011] Among them, F is the first fluidity index of concrete during concrete pouring, A is the cross-sectional area of ​​the formwork, α is the first adjustment factor of flow velocity, β is the first adjustment factor of cross-sectional area, γ is the first adjustment factor of pouring time, t is the pouring time, δ is the second adjustment factor of pouring time, T is the initial setting time, ∈ is the initial setting time adjustment factor, ζ is the second adjustment factor of flow velocity, V is the concrete flow velocity, η is the third adjustment factor of flow velocity, θ is the third adjustment factor of pouring time, and κ is the second adjustment factor of cross-sectional area.

[0012] Furthermore, the second evaluation model of the fluidity of the concrete includes:

[0013]

[0014] Wherein, F′ is the second fluidity index of concrete during concrete pouring, and λ is the fourth adjustment factor of flow rate.

[0015] Furthermore, the concrete pouring quality evaluation model includes:

[0016]

[0017] Wherein, M is the comprehensive score of concrete casting quality, F″ is the average value of the first fluidity index and the first fluidity index, α′ is the first influencing factor of concrete fluidity on the comprehensive score of concrete casting quality, β′ is the first influencing factor of the poured concrete sampling sample on the comprehensive score of concrete casting quality, n is the number of poured concrete sampling samples, w i is the weight of the i-th poured concrete sampling sample, f i is the concrete strength of the i-th poured concrete sampling sample, γ′ is the second influencing factor of the poured concrete sampling sample on the comprehensive score of concrete pouring quality, δ′ is the second influencing factor of concrete fluidity on the comprehensive score of concrete pouring quality, and ∈′ is the third influencing factor of concrete fluidity on the comprehensive score of concrete pouring quality.

[0018] Furthermore, all adjustment factors and influencing factors are fitted by gradient descent method.

[0019] The present invention also proposes an ultra-high performance concrete pouring system for a cable-stayed bridge, comprising:

[0020] An information acquisition module is used to acquire pouring information during concrete pouring, wherein the pouring information includes: template cross-sectional area, pouring time, initial setting time and concrete flow rate;

[0021] Setting a model module, used to set a first evaluation model of concrete fluidity and a second evaluation model of concrete fluidity, and respectively calculating a first fluidity index of concrete when pouring concrete and a second fluidity index of concrete when pouring concrete according to the pouring information, and obtaining an average value of the first fluidity index and the second fluidity index;

[0022] The quality evaluation module is used to sample the poured concrete periodically to obtain poured concrete sampling samples, and to set a concrete pouring quality evaluation model based on the average value to calculate a comprehensive score of the concrete pouring quality. When the comprehensive score of the concrete pouring quality is lower than a preset threshold, the parameters in the first fluidity evaluation model and / or the second fluidity evaluation model are adjusted until the comprehensive score of the concrete pouring quality exceeds the preset threshold.

[0023] Furthermore, the first evaluation model of concrete fluidity includes:

[0024]

[0025] Among them, F is the first fluidity index of concrete during concrete pouring, A is the cross-sectional area of ​​the formwork, α is the first adjustment factor of flow velocity, β is the first adjustment factor of cross-sectional area, γ is the first adjustment factor of pouring time, t is the pouring time, δ is the second adjustment factor of pouring time, T is the initial setting time, ∈ is the initial setting time adjustment factor, ζ is the second adjustment factor of flow velocity, V is the concrete flow velocity, η is the third adjustment factor of flow velocity, θ is the third adjustment factor of pouring time, and κ is the second adjustment factor of cross-sectional area.

[0026] Furthermore, the second evaluation model of the fluidity of the concrete includes:

[0027]

[0028] Wherein, F′ is the second fluidity index of concrete during concrete pouring, and λ is the fourth adjustment factor of flow rate.

[0029] Furthermore, the concrete pouring quality evaluation model includes:

[0030]

[0031] Wherein, M is the comprehensive score of concrete casting quality, F″ is the average value of the first fluidity index and the first fluidity index, α′ is the first influencing factor of concrete fluidity on the comprehensive score of concrete casting quality, β′ is the first influencing factor of the poured concrete sampling sample on the comprehensive score of concrete casting quality, n is the number of poured concrete sampling samples, w i is the weight of the i-th poured concrete sampling sample, fi is the concrete strength of the i-th poured concrete sampling sample, γ′ is the second influencing factor of the poured concrete sampling sample on the comprehensive score of concrete pouring quality, δ′ is the second influencing factor of concrete fluidity on the comprehensive score of concrete pouring quality, and ∈′ is the third influencing factor of concrete fluidity on the comprehensive score of concrete pouring quality.

[0032] Furthermore, all adjustment factors and influencing factors are fitted by gradient descent method.

[0033] Compared with the prior art, the above technical solution conceived by the present invention has the following beneficial effects:

[0034] The present invention obtains pouring information when pouring concrete, wherein the pouring information includes: template cross-sectional area, pouring time, initial setting time and concrete flow rate; sets a first evaluation model of concrete fluidity and a second evaluation model of concrete fluidity, and calculates the first fluidity index of concrete during concrete pouring and the second fluidity index of concrete during concrete pouring according to the pouring information, and obtains the average value of the first fluidity index and the second fluidity index; when the poured concrete is sampled periodically, the poured concrete sampling sample is obtained, and according to the average value, a concrete pouring quality evaluation model is set to calculate the comprehensive score of the concrete pouring quality, and when the comprehensive score of the concrete pouring quality is lower than a preset threshold, the parameters in the first evaluation model of fluidity and / or the second evaluation model of fluidity are adjusted until the comprehensive score of the concrete pouring quality exceeds the preset threshold. Through the above technical scheme, the present invention can evaluate the concrete fluidity in the concrete pouring process in real time, and evaluate the quality of the poured concrete, so as to adjust the pouring parameters, maximize the efficiency and pouring quality of concrete pouring, and improve the engineering quality of the cable-stayed bridge. BRIEF DESCRIPTION OF THE DRAWINGS

[0035] Figure 1 is a flow chart of the method of embodiment 1 of the present invention;

[0036] Figure 2 It is a system structure diagram of embodiment 2 of the present invention. DETAILED DESCRIPTION

[0037] 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.

[0038] 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.

[0039] 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.

[0040] 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.

[0041] The display is used to show the interactive cross-section of each application.

[0042] All subscripts in the formulas of the present invention are only used to distinguish parameters and have no actual meaning.

[0043] 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.

[0044] Example 1

[0045] like Figure 1 As shown, an embodiment of the present invention provides an ultra-high performance concrete pouring method for a cable-stayed bridge, comprising:

[0046] Step 101, obtaining pouring information during concrete pouring, wherein the pouring information includes: template cross-sectional area, pouring time, initial setting time and concrete flow rate;

[0047] Step 102, setting a first evaluation model of concrete fluidity and a second evaluation model of concrete fluidity, and respectively calculating a first fluidity index of concrete during concrete pouring and a second fluidity index of concrete during concrete pouring according to the pouring information, and obtaining an average value of the first fluidity index and the second fluidity index;

[0048] Specifically, the first evaluation model of concrete fluidity includes:

[0049]

[0050] Among them, F is the first fluidity index of concrete during concrete pouring, A is the cross-sectional area of ​​the formwork, α is the first adjustment factor of flow velocity, β is the first adjustment factor of cross-sectional area, γ is the first adjustment factor of pouring time, t is the pouring time, δ is the second adjustment factor of pouring time, T is the initial setting time, ∈ is the initial setting time adjustment factor, ζ is the second adjustment factor of flow velocity, V is the concrete flow velocity, η is the third adjustment factor of flow velocity, θ is the third adjustment factor of pouring time, and κ is the second adjustment factor of cross-sectional area.

[0051] Specifically, the second evaluation model of concrete fluidity includes:

[0052]

[0053] Wherein, F′ is the second fluidity index of concrete during concrete pouring, and λ is the fourth adjustment factor of flow rate.

[0054] Step 103, when the poured concrete is sampled periodically to obtain the poured concrete sampling samples, and according to the average value, a concrete pouring quality evaluation model is set to calculate the comprehensive score of the concrete pouring quality, when the comprehensive score of the concrete pouring quality is lower than a preset threshold, the parameters in the first fluidity evaluation model and / or the second fluidity evaluation model are adjusted until the comprehensive score of the concrete pouring quality exceeds the preset threshold.

[0055] Specifically, the concrete pouring quality evaluation model includes:

[0056]

[0057] Wherein, M is the comprehensive score of concrete casting quality, F″ is the average value of the first fluidity index and the first fluidity index, α′ is the first influencing factor of concrete fluidity on the comprehensive score of concrete casting quality, β′ is the first influencing factor of the poured concrete sampling sample on the comprehensive score of concrete casting quality, n is the number of poured concrete sampling samples, w i is the weight of the i-th poured concrete sampling sample, f i is the concrete strength of the i-th poured concrete sampling sample, γ′ is the second influencing factor of the poured concrete sampling sample on the comprehensive score of concrete pouring quality, δ′ is the second influencing factor of concrete fluidity on the comprehensive score of concrete pouring quality, and ∈′ is the third influencing factor of concrete fluidity on the comprehensive score of concrete pouring quality.

[0058] Specifically, all adjustment factors and influencing factors are fitted by gradient descent method.

[0059] Example 2

[0060] like Figure 2 As shown, the embodiment of the present invention also proposes an ultra-high performance concrete pouring system for a cable-stayed bridge, comprising:

[0061] An information acquisition module is used to acquire pouring information during concrete pouring, wherein the pouring information includes: template cross-sectional area, pouring time, initial setting time and concrete flow rate;

[0062] Setting a model module, used to set a first evaluation model of concrete fluidity and a second evaluation model of concrete fluidity, and respectively calculating a first fluidity index of concrete when pouring concrete and a second fluidity index of concrete when pouring concrete according to the pouring information, and obtaining an average value of the first fluidity index and the second fluidity index;

[0063] Specifically, the first evaluation model of concrete fluidity includes:

[0064]

[0065] Among them, F is the first fluidity index of concrete during concrete pouring, A is the cross-sectional area of ​​the formwork, α is the first adjustment factor of flow velocity, β is the first adjustment factor of cross-sectional area, γ is the first adjustment factor of pouring time, t is the pouring time, δ is the second adjustment factor of pouring time, T is the initial setting time, ∈ is the initial setting time adjustment factor, ζ is the second adjustment factor of flow velocity, V is the concrete flow velocity, η is the third adjustment factor of flow velocity, θ is the third adjustment factor of pouring time, and κ is the second adjustment factor of cross-sectional area.

[0066] Specifically, the second evaluation model of concrete fluidity includes:

[0067]

[0068] Wherein, F′ is the second fluidity index of concrete during concrete pouring, and λ is the fourth adjustment factor of flow rate.

[0069] The quality evaluation module is used to sample the poured concrete periodically to obtain poured concrete sampling samples, and to set a concrete pouring quality evaluation model based on the average value to calculate a comprehensive score of the concrete pouring quality. When the comprehensive score of the concrete pouring quality is lower than a preset threshold, the parameters in the first fluidity evaluation model and / or the second fluidity evaluation model are adjusted until the comprehensive score of the concrete pouring quality exceeds the preset threshold.

[0070] Specifically, the concrete pouring quality evaluation model includes:

[0071]

[0072] Wherein, M is the comprehensive score of concrete casting quality, F″ is the average value of the first fluidity index and the first fluidity index, a′ is the first influencing factor of concrete fluidity on the comprehensive score of concrete casting quality, β′ is the first influencing factor of the poured concrete sampling sample on the comprehensive score of concrete casting quality, n is the number of poured concrete sampling samples, w i is the weight of the i-th poured concrete sampling sample, f i is the concrete strength of the i-th poured concrete sampling sample, γ′ is the second influencing factor of the poured concrete sampling sample on the comprehensive score of concrete pouring quality, δ′ is the second influencing factor of concrete fluidity on the comprehensive score of concrete pouring quality, and ∈′ is the third influencing factor of concrete fluidity on the comprehensive score of concrete pouring quality.

[0073] Specifically, all adjustment factors and influencing factors are fitted by gradient descent method.

[0074] Example 3

[0075] The embodiment of the present invention further provides a storage medium storing a plurality of instructions, wherein the instructions are used to implement the ultra-high performance concrete pouring method for a cable-stayed bridge.

[0076] 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.

[0077] Optionally, in this embodiment, the storage medium is configured to store program codes for executing the following steps: Step 101, obtaining pouring information during concrete pouring, wherein the pouring information includes: template cross-sectional area, pouring time, initial setting time, and concrete flow rate;

[0078] Step 102, setting a first evaluation model of concrete fluidity and a second evaluation model of concrete fluidity, and respectively calculating a first fluidity index of concrete during concrete pouring and a second fluidity index of concrete during concrete pouring according to the pouring information, and obtaining an average value of the first fluidity index and the second fluidity index;

[0079] Specifically, the first evaluation model of concrete fluidity includes:

[0080]

[0081] Among them, F is the first fluidity index of concrete during concrete pouring, A is the cross-sectional area of ​​the formwork, α is the first adjustment factor of flow velocity, β is the first adjustment factor of cross-sectional area, γ is the first adjustment factor of pouring time, t is the pouring time, δ is the second adjustment factor of pouring time, T is the initial setting time, ∈ is the initial setting time adjustment factor, ζ is the second adjustment factor of flow velocity, V is the concrete flow velocity, η is the third adjustment factor of flow velocity, θ is the third adjustment factor of pouring time, and κ is the second adjustment factor of cross-sectional area.

[0082] Specifically, the second evaluation model of concrete fluidity includes:

[0083]

[0084] Wherein, F′ is the second fluidity index of concrete during concrete pouring, and λ is the fourth adjustment factor of flow rate.

[0085] Step 103, when the poured concrete is sampled periodically to obtain the poured concrete sampling samples, and according to the average value, a concrete pouring quality evaluation model is set to calculate the comprehensive score of the concrete pouring quality, when the comprehensive score of the concrete pouring quality is lower than a preset threshold, the parameters in the first fluidity evaluation model and / or the second fluidity evaluation model are adjusted until the comprehensive score of the concrete pouring quality exceeds the preset threshold.

[0086] Specifically, the concrete pouring quality evaluation model includes:

[0087]

[0088] Wherein, M is the comprehensive score of concrete casting quality, F″ is the average value of the first fluidity index and the first fluidity index, a′ is the first influencing factor of concrete fluidity on the comprehensive score of concrete casting quality, β′ is the first influencing factor of the poured concrete sampling sample on the comprehensive score of concrete casting quality, n is the number of poured concrete sampling samples, w i is the weight of the i-th poured concrete sampling sample, f i is the concrete strength of the i-th poured concrete sampling sample, γ′ is the second influencing factor of the poured concrete sampling sample on the comprehensive score of concrete pouring quality, δ′ is the second influencing factor of concrete fluidity on the comprehensive score of concrete pouring quality, and ∈′ is the third influencing factor of concrete fluidity on the comprehensive score of concrete pouring quality.

[0089] Specifically, all adjustment factors and influencing factors are fitted by gradient descent method.

[0090] Example 4

[0091] 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 to enable the processor to execute an ultra-high performance concrete pouring method for cable-stayed bridges.

[0092] 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.

[0093] Among them, the storage medium can be used to store software programs and modules, such as a method for pouring ultra-high performance concrete for cable-stayed bridges 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 pouring ultra-high performance concrete for cable-stayed bridges. 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, an intranet, a local area network, a mobile communication network, and combinations thereof.

[0094] The processor may call the information and application program stored in the storage medium through the transmission system to execute the steps: Step 101, obtaining pouring information when pouring concrete, wherein the pouring information includes: template cross-sectional area, pouring time, initial setting time and concrete flow rate;

[0095] Step 102, setting a first evaluation model of concrete fluidity and a second evaluation model of concrete fluidity, and respectively calculating a first fluidity index of concrete during concrete pouring and a second fluidity index of concrete during concrete pouring according to the pouring information, and obtaining an average value of the first fluidity index and the second fluidity index;

[0096] Specifically, the first evaluation model of concrete fluidity includes:

[0097]

[0098] Among them, F is the first fluidity index of concrete during concrete pouring, A is the cross-sectional area of ​​the formwork, α is the first adjustment factor of flow velocity, β is the first adjustment factor of cross-sectional area, γ is the first adjustment factor of pouring time, t is the pouring time, δ is the second adjustment factor of pouring time, T is the initial setting time, ∈ is the initial setting time adjustment factor, ζ is the second adjustment factor of flow velocity, V is the concrete flow velocity, η is the third adjustment factor of flow velocity, θ is the third adjustment factor of pouring time, and κ is the second adjustment factor of cross-sectional area.

[0099] Specifically, the second evaluation model of concrete fluidity includes:

[0100]

[0101] Wherein, F′ is the second fluidity index of concrete during concrete pouring, and λ is the fourth adjustment factor of flow rate.

[0102] Step 103, when the poured concrete is sampled periodically to obtain the poured concrete sampling samples, and according to the average value, a concrete pouring quality evaluation model is set to calculate the comprehensive score of the concrete pouring quality, when the comprehensive score of the concrete pouring quality is lower than a preset threshold, the parameters in the first fluidity evaluation model and / or the second fluidity evaluation model are adjusted until the comprehensive score of the concrete pouring quality exceeds the preset threshold.

[0103] Specifically, the concrete pouring quality evaluation model includes:

[0104]

[0105] Wherein, M is the comprehensive score of concrete casting quality, F″ is the average value of the first fluidity index and the first fluidity index, α′ is the first influencing factor of concrete fluidity on the comprehensive score of concrete casting quality, β′ is the first influencing factor of the poured concrete sampling sample on the comprehensive score of concrete casting quality, n is the number of poured concrete sampling samples, w i is the weight of the i-th poured concrete sampling sample, f i is the concrete strength of the i-th poured concrete sampling sample, γ′ is the second influencing factor of the poured concrete sampling sample on the comprehensive score of concrete pouring quality, δ′ is the second influencing factor of concrete fluidity on the comprehensive score of concrete pouring quality, and ∈′ is the third influencing factor of concrete fluidity on the comprehensive score of concrete pouring quality.

[0106] Specifically, all adjustment factors and influencing factors are fitted by gradient descent method.

[0107] 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.

[0108] 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.

[0109] 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.

[0110] 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.

[0111] 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.

[0112] 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.

[0113] 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 pouring ultra-high performance concrete for a cable-stayed bridge, characterized in that: include: Acquire pouring information during concrete pouring, wherein the pouring information includes: template cross-sectional area, pouring time, initial setting time and concrete flow rate; Setting a first evaluation model of concrete fluidity and a second evaluation model of concrete fluidity, and respectively calculating a first fluidity index of concrete when pouring concrete and a second fluidity index of concrete when pouring concrete according to the pouring information, and obtaining an average value of the first fluidity index and the second fluidity index; The first evaluation model of the fluidity of the concrete includes: Wherein, F is the first fluidity index of concrete during concrete pouring, A is the cross-sectional area of ​​the formwork, α is the first adjustment factor of flow velocity, β is the first adjustment factor of cross-sectional area, γ is the first adjustment factor of pouring time, t is the pouring time, δ is the second adjustment factor of pouring time, T is the initial setting time, ∈ is the initial setting time adjustment factor, ζ is the second adjustment factor of flow velocity, V is the concrete flow velocity, η is the third adjustment factor of flow velocity, θ is the third adjustment factor of pouring time, and κ is the second adjustment factor of cross-sectional area; The second evaluation model of the fluidity of the concrete includes: Where F′ is the second fluidity index of concrete during concrete pouring, and λ is the fourth adjustment factor of flow rate; When the poured concrete is sampled periodically to obtain the poured concrete sampling samples, and according to the average value, a concrete pouring quality evaluation model is set to calculate the comprehensive score of the concrete pouring quality, when the comprehensive score of the concrete pouring quality is lower than a preset threshold, the parameters in the first fluidity evaluation model and / or the second fluidity evaluation model are adjusted until the comprehensive score of the concrete pouring quality exceeds the preset threshold.

2. The method for pouring ultra-high performance concrete for a cable-stayed bridge according to claim 1, characterized in that: The concrete pouring quality evaluation model includes: Wherein, M is the comprehensive score of concrete casting quality, F″ is the average value of the first fluidity index and the first fluidity index, α′ is the first influencing factor of concrete fluidity on the comprehensive score of concrete casting quality, β′ is the first influencing factor of the poured concrete sampling sample on the comprehensive score of concrete casting quality, n is the number of poured concrete sampling samples, w i is the weight of the i-th poured concrete sampling sample, f i is the concrete strength of the i-th poured concrete sampling sample, γ′ is the second influencing factor of the poured concrete sampling sample on the comprehensive score of concrete pouring quality, δ′ is the second influencing factor of concrete fluidity on the comprehensive score of concrete pouring quality, and ∈′ is the third influencing factor of concrete fluidity on the comprehensive score of concrete pouring quality.

3. The method for pouring ultra-high performance concrete for a cable-stayed bridge according to claim 2, characterized in that: All adjustment factors and influencing factors were fitted by gradient descent method.

4. An ultra-high performance concrete pouring system for cable-stayed bridges, characterized in that: include: An information acquisition module is used to acquire pouring information during concrete pouring, wherein the pouring information includes: template cross-sectional area, pouring time, initial setting time and concrete flow rate; Setting a model module, used to set a first evaluation model of concrete fluidity and a second evaluation model of concrete fluidity, and respectively calculating a first fluidity index of concrete when pouring concrete and a second fluidity index of concrete when pouring concrete according to the pouring information, and obtaining an average value of the first fluidity index and the second fluidity index; The first evaluation model of the fluidity of the concrete includes: Wherein, F is the first fluidity index of concrete during concrete pouring, A is the cross-sectional area of ​​the formwork, α is the first adjustment factor of flow velocity, β is the first adjustment factor of cross-sectional area, γ is the first adjustment factor of pouring time, t is the pouring time, δ is the second adjustment factor of pouring time, T is the initial setting time, ∈ is the initial setting time adjustment factor, ζ is the second adjustment factor of flow velocity, V is the concrete flow velocity, η is the third adjustment factor of flow velocity, θ is the third adjustment factor of pouring time, and k is the second adjustment factor of cross-sectional area; The second evaluation model of the fluidity of the concrete includes: Where F′ is the second fluidity index of concrete during concrete pouring, and λ is the fourth adjustment factor of flow rate; The quality evaluation module is used to sample the poured concrete periodically to obtain poured concrete sampling samples, and to set a concrete pouring quality evaluation model based on the average value to calculate a comprehensive score of the concrete pouring quality. When the comprehensive score of the concrete pouring quality is lower than a preset threshold, the parameters in the first fluidity evaluation model and / or the second fluidity evaluation model are adjusted until the comprehensive score of the concrete pouring quality exceeds the preset threshold.

5. The ultra-high performance concrete pouring system for a cable-stayed bridge according to claim 4, characterized in that: The concrete pouring quality evaluation model includes: Wherein, M is the comprehensive score of concrete casting quality, F″ is the average value of the first fluidity index and the first fluidity index, α′ is the first influencing factor of concrete fluidity on the comprehensive score of concrete casting quality, β′ is the first influencing factor of the poured concrete sampling sample on the comprehensive score of concrete casting quality, n is the number of poured concrete sampling samples, w i is the weight of the i-th poured concrete sampling sample, f i is the concrete strength of the i-th poured concrete sampling sample, γ′ is the second influencing factor of the poured concrete sampling sample on the comprehensive score of concrete pouring quality, δ′ is the second influencing factor of concrete fluidity on the comprehensive score of concrete pouring quality, and ∈′ is the third influencing factor of concrete fluidity on the comprehensive score of concrete pouring quality.

6. The ultra-high performance concrete pouring system for a cable-stayed bridge according to claim 5, characterized in that: All adjustment factors and influencing factors were fitted by gradient descent method.

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