Method and system for calculating initial debonding parameter and height of concrete-filled steel tube interface

Abstract

The present application relates to the field of bridge engineering structure health monitoring and safety evaluation, in particular to a kind of steel pipe concrete interface initial debonding parameter and height calculation method and system.Method includes: obtaining the basic parameters and environmental parameters of target steel pipe concrete component;Build steel pipe concrete thermal coupling finite element model, simulate steel pipe concrete component interface temperature field evolution and debonding process;Using orthogonal test method to quantify the sensitivity of each parameter, determine the debonding dominant influencing factor;Build multi-factor coupling initial debonding surface temperature prediction model, determine the interface initial debonding position and time;Build multi-factor coupling maximum debonding height prediction model, calculate the interface maximum debonding height;Combined with the difference of debonding mechanism of different pipe diameter components, the interface maximum debonding height is corrected;Output the interface initial debonding position and time determined and the maximum debonding height after correction.The present application solves the problem of single factor, unknown debonding mechanism and poor model practicability in prior art.

Description

Technical Field

[0001] This invention relates to the field of structural health monitoring and safety assessment of bridge engineering, specifically to a method and system for calculating the initial debonding parameters and height of the steel-concrete interface. Background Technology

[0002] The statements in this section are merely background information related to the present invention and do not necessarily constitute prior art.

[0003] Concrete-filled steel tubing is widely used in various arch bridge projects due to its excellent mechanical properties and convenient construction characteristics. The interfacial bond between the steel tubing and the core concrete is crucial to ensuring the coordinated operation of the components and maintaining the structural load-bearing capacity and durability. Debonding at the interface will significantly weaken the mechanical properties of the components, accelerate structural deterioration, and seriously threaten the safety of the project.

[0004] Existing methods for determining debonding at the steel-concrete interface mainly rely on indirect stress monitoring based on a single factor or on direct experience. They fail to fully consider the coupling effect between environmental parameters such as solar radiation, wind speed, and diurnal temperature difference and component parameters such as pipe diameter, wall thickness, and surface absorptivity. Furthermore, they do not take into account the differences in debonding mechanisms among components with different pipe diameters. Therefore, they cannot accurately reflect the debonding evolution law under actual service conditions. Summary of the Invention

[0005] To address the shortcomings of existing technologies, the present invention aims to provide a method and system for calculating the initial debonding parameters and height of the steel-concrete interface, thereby achieving accurate determination of the initial debonding of the steel-concrete interface and quantitative calculation of the debonding height, while taking into account scientific rigor, practicality, and engineering applicability.

[0006] To achieve the above objectives, the present invention adopts the following technical solution: Firstly, a method for calculating the initial debonding parameters and height of the steel-concrete interface is provided, including: Obtain the foundation and environmental parameters of the target steel-concrete composite member; A thermo-mechanically coupled finite element model of steel-concrete composite tubes was constructed to simulate the evolution of the interface temperature field and the entire debonding process of steel-concrete composite tube components. Orthogonal experimental design was used to quantify the sensitivity of various parameters in the evolution of the interfacial temperature field of concrete-filled steel tube members and the entire process of debonding, and to determine the dominant influencing factors of debonding. Based on the dominant influencing factors of debonding, a multi-factor coupled surface temperature prediction model for the initiation of debonding is constructed to determine the location and time of the initiation of debonding at the interface. Based on the dominant influencing factors of debonding, a multi-factor coupled maximum debonding height prediction model is constructed to calculate the maximum debonding height at the interface; the maximum debonding height at the interface is then corrected by considering the differences in debonding mechanisms of components with different pipe diameters. The output determines the starting debonding position and time on the interface, and the corrected maximum debonding height.

[0007] Secondly, a calculation system for the initial debonding parameters and height of the steel-concrete interface is provided; Thirdly, an electronic device is also provided, comprising: Memory, used for non-transitory storage of computer-readable instructions; and Processor, for executing the computer-readable instructions, When the computer-readable instructions are executed by the processor, they perform the method described in the first aspect above.

[0008] Fourthly, a computer-readable storage medium is provided having a program stored thereon that, when executed by a processor, implements the method described in the first aspect above.

[0009] Fifthly, a computer program product is provided, employing the following technical solution: A computer program product includes software code, wherein a program in the software code performs the steps of the method described in the first aspect of the present invention.

[0010] The above technical solution has the following advantages or beneficial effects: (1) This invention performs multi-factor coupling analysis, comprehensively covering three types of parameters: environment, components, and initial defects, solving the shortcomings of existing technologies that have single factors and are detached from the actual service environment, and the calculation results are consistent with engineering practice.

[0011] (2) The present invention uses the surface temperature of the steel pipe as the initial debonding judgment index. This index is easy to monitor in real time and convenient to quantify, replacing the traditional indirect stress monitoring and greatly improving the practicality of engineering.

[0012] (3) Based on the differences in the debonding mechanism of components with different pipe diameters, the present invention specifically corrects the calculation results, solves the problem that the existing methods are highly general but not specific enough, and is suitable for various specifications of steel pipe concrete components.

[0013] (4) The present invention constructs a high-precision prediction model to achieve accurate quantification of the initial debonding temperature and debonding height, providing a reliable basis for debonding prevention and control. Attached Figure Description

[0014] The accompanying drawings, which form part of this invention, are used to provide a further understanding of the invention. The illustrative embodiments of the invention and their descriptions are used to explain the invention and do not constitute an improper limitation of the invention.

[0015] Figure 1 This is a flowchart illustrating the calculation method for the initial debonding parameters and height of the steel-concrete interface in a specific embodiment of the present invention. Figure 2 This is a schematic diagram showing the placement direction of the steel-concrete composite member in a specific embodiment of the present invention; Figure 3 The diagram shows the arrangement of measuring points for components of different diameters in a specific embodiment of the present invention; wherein, (a) is a schematic diagram of component G1, (b) is a schematic diagram of component G2, and (c) is a schematic diagram of component G3. Figure 4 This is a schematic diagram of the thermally coupled finite element model of steel-concrete composite tube in a specific embodiment of the present invention; wherein, (a) is a schematic diagram of the binding interface of the thermally coupled finite element model of steel-concrete composite tube, and (b) is a schematic diagram of the load application of the thermally coupled finite element model of steel-concrete composite tube. Figure 5 The following are interface debonding cloud diagrams of the finite element model in a specific embodiment of the present invention; wherein, (a) is the interface debonding cloud diagram of the finite element model of component G3, and (b) is the interface debonding cloud diagram of the finite element model of component G2. In the figure, 1. Midpoint section of the steel-concrete composite member; 2. Concrete; 3. Steel pipe; 4. Tie constraint. Detailed Implementation

[0016] It should be noted that the following detailed descriptions are exemplary and intended to provide further illustration of the invention. Unless otherwise specified, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this invention pertains.

[0017] It should be noted that the terminology used herein is for the purpose of describing particular embodiments only and is not intended to limit the exemplary embodiments of the invention. The terms "comprising" and "having," and any variations thereof, are intended to cover non-exclusive inclusion, for example, a process, method, system, product, or apparatus that comprises a series of steps or units is not necessarily limited to those steps or units explicitly listed, but may include other steps or units not explicitly listed or inherent to such processes, methods, products, or apparatus.

[0018] In this embodiment of the invention, "and / or" is merely a description of the relationship between related objects, indicating that three relationships can exist. For example, A and / or B can represent: A existing alone, A and B existing simultaneously, and B existing alone. Furthermore, in the description of this invention, "multiple" refers to two or more.

[0019] Furthermore, to facilitate a clear description of the technical solutions of the embodiments of the present invention, the terms "first" and "second" are used in the embodiments of the present invention to distinguish identical or similar items with essentially the same function and effect. Those skilled in the art will understand that the terms "first" and "second" do not limit the quantity or execution order, and the terms "first" and "second" are not necessarily different.

[0020] Where there is no conflict, the embodiments and features in the embodiments of the present invention can be combined with each other.

[0021] Example 1 like Figure 1 As shown in the figure, this embodiment provides a method for calculating the initial debonding parameters and height of the steel-concrete interface.

[0022] In this embodiment, the main arch rib of a long-span steel-concrete composite arch bridge is used as the engineering background, and three typical steel-concrete composite members with inner diameters of 430mm, 650mm, and 1000mm are selected. Experiments, simulations, and calculations are carried out according to the steps S1-S6 below.

[0023] S1: Obtain the foundation and environmental parameters of the target steel-concrete composite member; S2: Construct a thermo-mechanical coupled finite element model of steel-concrete composite tube to simulate the evolution of the interface temperature field and the entire process of debonding of steel-concrete composite tube components; S3: The orthogonal experimental method was used to quantify the sensitivity of various parameters in the evolution of the interface temperature field of steel-concrete composite members and the entire process of debonding, and to determine the dominant influencing factors of debonding. S4: Based on the dominant influencing factors of debonding, construct a multi-factor coupled surface temperature prediction model for the initiation of debonding to determine the location and time of the initiation of debonding at the interface; S5: Based on the dominant influencing factors of debonding, a multi-factor coupled maximum debonding height prediction model is constructed to calculate the maximum debonding height at the interface; the maximum debonding height at the interface is corrected by combining the differences in debonding mechanisms of components with different pipe diameters. S6: Outputs the interface for determining the initial debonding position and time, and the corrected maximum debonding height.

[0024] Step S1 is as follows: Obtain the basic and environmental parameters of the target steel-concrete composite member. The basic parameters of the target steel-concrete composite member include the member diameter, steel pipe wall thickness, concrete strength grade, steel pipe surface absorptivity, and initial debonding defect range. The environmental parameters include the daily maximum solar radiation value, daily average wind speed, and diurnal temperature difference.

[0025] In this embodiment, the initial debonding defect range is measured from the top of the component, according to the circumferential symmetry angle; the steel pipe surface absorptivity characterizes the steel pipe surface's ability to absorb solar radiation; the environmental parameters are taken from real-time monitoring data of the component's service environment, with the sampling period covering typical representative days of the four seasons.

[0026] In this embodiment, the foundation parameters for three typical steel-concrete composite members with inner diameters of 430mm, 650mm, and 1000mm are as follows: Large-diameter component G1: Pipe diameter =1000mm, wall thickness =22mm, C60, Absorption Rate =0.7, initial defect ; Medium diameter component G2: Pipe diameter =650mm, wall thickness =18mm, C60, Absorption Rate =0.6, Initial Defect ; Small diameter component G3: Pipe diameter =430mm, wall thickness =10mm, C60, absorption rate Initial defects .

[0027] In this embodiment, the test site is located in an open, unobstructed area, such as... Figure 2 As shown, components G1, G2, and G3 were placed horizontally along the north-south axis, supported by steel frames off the ground, and arranged in a staggered, layered manner in the outdoor area. Components of different sizes were placed on various types of steel support brackets, forming a layered effect with varying distances. The entire set of specimens was neatly arranged on the hardened ground.

[0028] The test setup for the three components is as follows: Figure 2 As shown.

[0029] The environmental monitoring parameters are as follows: Spring Day: Maximum Radiation Value of the Day Average wind speed diurnal temperature difference ; Summer day: Maximum radiation level of the day Average wind speed diurnal temperature difference ; Autumn Day: Maximum Radiation Value of the Day Average wind speed diurnal temperature difference ; Winter day: Maximum radiation level of the day Average wind speed diurnal temperature difference .

[0030] The monitoring period is set to 12 months to achieve continuous monitoring covering all four seasons. Temperature, displacement, and environmental data are collected synchronously, and the monitoring points are arranged as follows: Figure 3 As shown, a closed, insulated shed was built outside the test component. Multiple sets of radiation sensors were installed on the outer wall of the cylinder, and an artificial light source was suspended from the roof for environmental thermal control. Inside the steel cylinder, a large number of temperature measuring points were evenly distributed along the circumference of the cylinder wall. Various sensor cables were uniformly led out and connected to external data acquisition equipment to achieve synchronous monitoring of temperature and radiation data inside and outside the component.

[0031] Step S2 is as follows: In this embodiment, the steel-concrete composite thermo-coupling finite element model specifically employs a two-dimensional transient heat transfer model coupled with a static damage model in stages. The steel pipe and concrete components are modeled as two-dimensional shells, and each component uses DC2D4 elements. The interface uses a bilinear traction and separation model to simulate debonding damage evolution. The interface conforms to the assumption of continuous temperature and heat flux density, and the interface uses tie constraints such as... Figure 4 As shown in (a). Radiation is applied through the surface heat flow module, and the load arrangement is as follows. Figure 4 As shown in (b).

[0032] After the construction of the thermo-coupling finite element model of steel-concrete composite tube was completed, the reliability of the thermo-coupling finite element model of steel-concrete composite tube was verified based on the field measured temperature data. The verification indicators included the fitting degree of the temperature field time history curve and the deviation between the measured and calculated values ​​of the debonding height. The verification qualification standard was that the fitting degree of the temperature field was not less than 95% and the deviation of the debonding height was not more than 5%.

[0033] The thermal parameters of the material are as follows: Steel pipe: density =7850 kg / m 3 Specific heat capacity =475 J / (kg·℃), thermal conductivity =55W / (m·℃), emissivity ε =0.9.

[0034] Concrete: Density =2700 kg / m 3 Specific heat capacity =880 J / (kg·℃), thermal conductivity =3W / (m·℃).

[0035] Based on the material's thermal parameters, the heat transfer governing equation for the thermo-mechanical coupled finite element model of steel-concrete composite tubes is determined as follows: (1); in, For material density, For the specific heat capacity of the material, Thermal conductivity, t Let x and y be the time during the process, and let x and y be the Cartesian coordinates of the two-dimensional cross-section of the component.

[0036] The heat flow boundary of the thermo-mechanical coupled finite element model of steel-concrete composite tube is: (2); in, n The direction of the outward normal to the boundary of the steel pipe section. The heat flow generated by solar radiation. The heat flow generated by convective heat transfer The heat flux generated by long-wave radiation is expressed in W / m³. 2 Their respective calculation methods are shown in the following formulas: (3); (4); (5); in, The surface absorption rate of the steel pipe, The long-wave emissivity of the concrete-filled steel tube surface. This is the Stefan-Boltzmann constant, typically taken as 5.67 × 10⁻⁸. , For ambient temperature, The surface temperature of the steel pipe. The surface convective heat transfer coefficient is... The measured radiation value is the actual value on the surface of the steel pipe.

[0037] The debonding damage model is as follows: (6); in ， As a damage variable, This is the initial damage displacement. For the maximum damage displacement, This represents the effective displacement at the point of complete destruction.

[0038] The model validation results are as follows: G3: Temperature fit 96.2%, debonding deviation 3.8%; G2: Temperature fit 95.8%, debonding deviation 4.2%; G1: Temperature fit 95.5%, debonding deviation 4.5%.

[0039] The reliability of the steel-concrete composite thermo-coupling finite element model was verified based on on-site measured temperature data. The model met the requirements of temperature field fitting degree ≥95% and debonding height deviation ≤5%, indicating that the model is reliable.

[0040] Step S3 is as follows: Orthogonal experimental design was employed to quantify the sensitivity of various parameters to the maximum vertical temperature difference and debonding evolution of concrete-filled steel tubular (CFSB) members during the entire debonding process, thereby identifying the dominant influencing factors of debonding. The orthogonal experiments were conducted at multiple factors and levels. Sensitivity analysis was used to identify the core dominant factors in the debonding evolution, while the remaining parameters were considered secondary influencing factors.

[0041] In this embodiment, the orthogonal experiment uses multiple factors and multiple levels, including solar radiation, diurnal temperature range, wind speed, pipe diameter, and wall thickness, for a total of 25 working conditions.

[0042] The formula for calculating sensitivity is as follows: (7); In the formula, The maximum temperature difference value for the steel-concrete composite model under each parameter. The maximum temperature difference value of the benchmark steel-concrete composite model; x 0 represents the parameter values ​​for the basic steel-concrete composite model. x for The corresponding parameter values.

[0043] In this embodiment, after sensitivity analysis, the dominant influencing factor for debonding was determined as follows: Solar radiation: =0.9182, pipe diameter: =0.5151, diurnal temperature range: =0.1203, wall thickness: =0.0875, wind speed: =0.0390.

[0044] Solar radiation and pipe diameter are highly sensitive; therefore, in this embodiment, solar radiation and pipe diameter are the core dominant factors for debonding.

[0045] The specific process of constructing the multi-factor coupled initiation debonding surface temperature prediction model in step S4 is as follows: S4.1: Based on the pipe diameter, the debonding mechanism is determined as follows: G3 (≤430mm): Segmented debonding, driven by normal stress; G2 ( mm): Transition debonding, normal triggering, tangential assistance; G1 (≥650mm): Continuous debonding, normal triggering, tangential expansion.

[0046] We define an initial debonding parameter as a unified quantitative indicator of the ease of debonding. The initial debonding parameter is as follows: (8); In the formula, This is the ratio of the angle at the start of the debonding position to 360°. The product of the time to debonding and 24 hours is the initial debonding parameter, which specifies the time before debonding occurs at the interface. = =1, the larger the parameter value, the less likely it is to debond, and the starting debonding position is strongly linearly correlated with the debonding time.

[0047] S4.2: Based on the debonding mechanism and judgment criteria clearly defined in S4.1, the surface temperature of the steel pipe, which is easily monitored in real time in engineering, is selected as an alternative judgment index. The initial debonding temperature is decomposed into two parts: the influence of environmental factors and the component's own parameters. A mathematical formula that can be directly calculated is constructed, as follows: The components of the surface initiation debonding temperature are divided into environmental heating. T E,p Influenced by the parameters of the steel pipe itself T C,p To improve the model's prediction performance for discrete parameters, a prediction model for the initial debonding surface temperature is constructed based on solar radiation, diurnal temperature range, wind speed, steel pipe diameter, steel pipe wall thickness, and steel pipe surface absorptivity. This model combines the environmental factors influencing the temperature rise with the influence of the steel pipe's own parameters. The expression for the initial debonding surface temperature prediction model is as follows: (9); (10); (11); In the formula, The warming effect on the environment Temperature affected by the steel pipe's own parameters The initial debonding surface temperature, I This represents the maximum radiation level for the day. ΔT This represents the diurnal temperature range. D The diameter of the steel pipe is... t For the thickness of the steel pipe wall, ν The average wind speed for the day. The surface absorption rate of the steel pipe, , , To correct the parameters, a,b,c,d,e,f,g,h,i,j,k All coefficients are obtained from fitting.

[0048] Substitute the summer day parameter (G1): I =1.35、 v =2、 ΔT =16、 D =1.0、 t =22、 = 0.7, calculated according to the above formula, yields... = 38.2℃.

[0049] Debonding is determined as follows: 9:15, 90° on the component surface The measured temperature at the 120° position reached 38.2℃, which was determined to be the starting point and time of debonding, consistent with the actual measurement.

[0050] The initiation debonding surface temperature prediction model is constructed by integrating environmental parameters and component parameters. When the measured surface temperature of the component reaches the calculated value of the model, the corresponding location and time are determined as the initiation debonding location and time. The determination index is easy to monitor and highly practical.

[0051] Step S5 is as follows: S5.1: Based on the dominant influencing factors of debonding, a multi-factor coupled maximum debonding height prediction model is constructed to calculate the maximum debonding height at the interface.

[0052] The maximum debonding height is divided into three parts: the debonding height caused by environmental factors, the debonding height caused by the steel pipe's own parameters, and the correction part for initial debonding defects. Therefore, the expression for the maximum debonding height prediction model is: (12); (13); (14); (15); in, E Δh The debonding height caused by environmental factors. S Δh The debonding height is caused by the steel pipe's own parameters. IN Δh The effect of initial debonding defects on the debonding height. I for I 0 / 1000 , I 0 represents the maximum daily radiation. ν The daily average wind speed, Δt max The maximum diurnal temperature range is obtained by real-time collection of the diurnal temperature range on the current day. D 1 is D / 1000 , D The diameter of the steel pipe is... t For the thickness of the steel pipe wall, α The surface absorption rate of the steel pipe, θ The angle representing the initial debonding range. p 1 to p 19 All coefficients are obtained from fitting.

[0053] The maximum debonding height prediction model consists of an environmental debonding height term, a component debonding height term, and an initial defect correction term, which can accurately quantify the maximum debonding height of the interface under different parameter combinations.

[0054] S5.2: The maximum debonding height at the interface is modified based on the differences in debonding mechanisms of components with different pipe diameters.

[0055] The correction rules for the differences in debonding mechanisms of components with different pipe diameters are as follows: for components with smaller pipe diameters, the debonding mode is segmented, and debonding is driven by the interface normal stress reaching its limit; for components with medium pipe diameters, the debonding mode is transitional, and debonding is triggered by normal stress and assisted by tangential stress; for components with larger pipe diameters, the debonding mode is continuous, and debonding is triggered by normal stress and driven by the concentration of tangential stress at the edge.

[0056] The specific correction rule is as follows: When the pipe diameter is ≤430mm, the segmented debonding mode is adopted, and the correction factor is taken as follows: When the pipe diameter is between 430mm and 650mm, the debonding transition mode is adopted, and the correction factor is taken as follows: When the pipe diameter is ≥650mm, the continuous debonding mode is used, and the correction factor is taken as... .

[0057] In this embodiment: Component G3: correction factor 0.95, final debonding height 0.029mm; Component G2: correction factor 1.05, final debonding height 1.60mm; Component G1: correction factor 1.15, final debonding height 4.43mm.

[0058] In step S6, engineering verification is performed, with the deviation between the model and the measured value ≤5%; the initial debonding surface temperature prediction model is then implemented. R 2 =0.880, Maximum debonding height prediction model R 2 =0.936; the simulation results are as follows: Figure 5 As shown, it can be directly used for arch rib debonding risk assessment.

[0059] The output judgment interface, including the starting debonding position, time, and corrected maximum debonding height, can interact with bridge operation and maintenance software.

[0060] The method provided in this embodiment is applicable to health monitoring, damage diagnosis, and safety assessment of various engineering scenarios using steel-concrete composite structures, such as bridges, high-rise buildings, and tower-mast structures.

[0061] Example 2 This embodiment provides a system for calculating the initial debonding parameters and height of the steel-concrete interface, including: The parameter acquisition module is configured to acquire the foundation parameters and environmental parameters of the target steel-concrete composite member. The finite element model building module is configured to: build a thermo-coupling finite element model of steel-concrete composite tubes to simulate the evolution of the temperature field at the interface of steel-concrete composite tube components and the entire process of debonding. The sensitivity analysis module is configured to: use orthogonal experimental design to quantify the sensitivity of each parameter during the evolution of the interface temperature field of concrete-filled steel tube members and the entire process of debonding, and determine the dominant influencing factors of debonding; The initial debonding determination module is configured to: construct a multi-factor coupled surface temperature prediction model for initial debonding based on the dominant influencing factors of debonding, and determine the location and time of initial debonding at the interface; The debonding height calculation module is configured to: construct a multi-factor coupled maximum debonding height prediction model based on the dominant debonding influencing factors, calculate the maximum debonding height of the interface; and correct the maximum debonding height of the interface by taking into account the differences in debonding mechanisms of components with different pipe diameters. The output module is configured to output the starting debonding position and time of the interface determination, and the corrected maximum debonding height.

[0062] It should be noted that the parameter acquisition module, finite element model construction module, sensitivity analysis module, initial debonding determination module, debonding height calculation module, and output module mentioned above correspond to steps S1 to S6 in Embodiment 1. The examples and application scenarios implemented by these modules and their corresponding steps are the same, but they are not limited to the content disclosed in Embodiment 1. It should be noted that the above modules, as part of the system, can be executed in a computer system such as a set of computer-executable instructions.

[0063] The descriptions of each embodiment in the above embodiments have different focuses. For parts not described in detail in a certain embodiment, please refer to the relevant descriptions in other embodiments.

[0064] The proposed system can be implemented in other ways. For example, the system embodiments described above are merely illustrative, and the division of modules described above is only a logical functional division. In actual implementation, there may be other division methods. For example, multiple modules may be combined or integrated into another system, or some features may be ignored or not executed.

[0065] Example 3 This embodiment also provides an electronic device, including: one or more processors, one or more memories, and one or more computer programs; wherein, the processor is connected to the memory, and the one or more computer programs are stored in the memory. When the electronic device is running, the processor executes the one or more computer programs stored in the memory to cause the electronic device to perform the method described in Embodiment 1.

[0066] It should be understood that in this embodiment, the processor can be a central processing unit (CPU), or it can be other general-purpose processors, digital signal processors (DSPs), application-specific integrated circuits (ASICs), programmable gate arrays (FPGAs), or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. The general-purpose processor can be a microprocessor or any conventional processor, etc.

[0067] Memory may include read-only memory and random access memory, and provides instructions and data to the processor. A portion of memory may also include non-volatile random access memory. For example, memory may also store information about the device type.

[0068] In the implementation process, each step of the above method can be completed by the integrated logic circuits in the processor hardware or by software instructions.

[0069] The method in Embodiment 1 can be directly implemented by a hardware processor, or implemented by a combination of hardware and software modules within the processor. The software modules can reside in readily available storage media in the art, such as random access memory, flash memory, read-only memory, programmable read-only memory, electrically erasable programmable memory, or registers. This storage medium is located in memory; the processor reads information from the memory and, in conjunction with its hardware, completes the steps of the above method. To avoid repetition, a detailed description is not provided here.

[0070] Those skilled in the art will recognize that the units and algorithm steps described in connection with the various examples of this embodiment can be implemented in electronic hardware or a combination of computer software and electronic hardware. Whether these functions are implemented in hardware or software depends on the specific application and design constraints of the technical solution. Those skilled in the art can use different methods to implement the described functions for each specific application, but such implementation should not be considered beyond the scope of this invention.

[0071] Example 4 Embodiment 4 of the present invention provides a computer-readable storage medium.

[0072] A computer-readable storage medium having a program stored thereon that, when executed by a processor, implements the steps of the method as described in Embodiment 1 of the present invention.

[0073] The detailed steps are the same as those provided in Example 1, and will not be repeated here.

[0074] Example 5 Embodiment 5 of the present invention provides a computer program product.

[0075] A computer program product includes software code, wherein the program in the software code performs the steps described in Embodiment 1 of the present invention.

[0076] The above description is merely a preferred embodiment of the present invention and is not intended to limit the invention. Various modifications and variations can be made to the present invention by those skilled in the art. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principles of the present invention should be included within the scope of protection of the present invention.

Claims

1. A method for calculating the initial debonding parameters and height of the steel-concrete interface, characterized in that, include: Obtain the foundation and environmental parameters of the target steel-concrete composite member; A thermo-mechanically coupled finite element model of steel-concrete composite tubes was constructed to simulate the evolution of the interface temperature field and the entire debonding process of steel-concrete composite tube components. Orthogonal experimental design was used to quantify the sensitivity of various parameters in the evolution of the interfacial temperature field of concrete-filled steel tube members and the entire process of debonding, and to determine the dominant influencing factors of debonding. Based on the dominant influencing factors of debonding, a multi-factor coupled surface temperature prediction model for the initial debonding is constructed to determine the location and time of the initial debonding at the interface. Specifically, the initial debonding surface temperature is divided into an environmentally driven heating component and a component influenced by the steel pipe's own parameters. Based on solar radiation, diurnal temperature difference, wind speed, steel pipe diameter, steel pipe wall thickness, and steel pipe surface absorptivity, the multi-factor coupled surface temperature prediction model for the initial debonding is constructed by combining the environmentally driven heating component and the component influenced by the steel pipe's own parameters. Based on the dominant influencing factors of debonding, a multi-factor coupled maximum debonding height prediction model is constructed to calculate the maximum debonding height at the interface. The maximum debonding height at the interface is then corrected by considering the differences in debonding mechanisms among components of different pipe diameters. Specifically, the multi-factor coupled maximum debonding height prediction model is constructed by dividing the maximum debonding height into three parts: the debonding height caused by environmental factors, the debonding height caused by the steel pipe's own parameters, and the initial debonding defect correction part. Based on the daily maximum radiation value, daily average wind speed, maximum diurnal temperature range, steel pipe diameter, steel pipe wall thickness, steel pipe surface absorptivity, and the range of initial debonding defects, the multi-factor coupled maximum debonding height prediction model is constructed through a combination of environmental debonding height, component debonding height, and initial defect correction terms. The output determines the starting debonding position and time on the interface, and the corrected maximum debonding height.

2. The method for calculating the initial debonding parameters and height of the steel-concrete interface as described in claim 1, characterized in that, The basic parameters of the target steel-concrete composite member include: member diameter, steel pipe wall thickness, concrete strength grade, steel pipe surface absorptivity, and initial debonding defect range; the environmental parameters include: daily maximum solar radiation value, daily average wind speed, and diurnal temperature difference.

3. The method for calculating the initial debonding parameters and height of the steel-concrete interface as described in claim 1, characterized in that, Orthogonal experimental design was used to quantify the sensitivity of various parameters to the maximum vertical temperature difference and interface debonding evolution of concrete-filled steel tube components during the evolution of the interfacial temperature field and the entire debonding process, and to determine the dominant influencing factors of debonding; the dominant influencing factors of debonding are solar radiation and pipe diameter.

4. The method for calculating the initial debonding parameters and height of the steel-concrete interface as described in claim 1, characterized in that, The maximum debonding height at the interface is modified based on the differences in debonding mechanisms of components with different pipe diameters. Specifically, for pipe diameters ≤ 430mm, a segmented debonding mode is adopted, and the correction coefficient is taken as follows: ; When the pipe diameter is between 430mm and 650mm, the transition debonding mode is used, and the correction factor is taken as... When the pipe diameter is ≥650mm, the continuous debonding mode is used, and the correction factor is taken as... .

5. A system for calculating the initial debonding parameters and height of concrete-filled steel pipe interfaces, characterized in that, include: The parameter acquisition module is configured to acquire the foundation parameters and environmental parameters of the target steel-concrete composite member. The finite element model building module is configured to: build a thermo-coupling finite element model of steel-concrete composite tubes to simulate the evolution of the temperature field at the interface of steel-concrete composite tube components and the entire process of debonding. The sensitivity analysis module is configured to: use orthogonal experimental design to quantify the sensitivity of each parameter during the evolution of the interface temperature field of concrete-filled steel tube members and the entire process of debonding, and determine the dominant influencing factors of debonding; The initial debonding determination module is configured to: construct a multi-factor coupled initial debonding surface temperature prediction model based on the dominant debonding influencing factors, and determine the initial debonding location and time at the interface; the construction of the multi-factor coupled initial debonding surface temperature prediction model based on the dominant debonding influencing factors specifically involves: dividing the initial debonding surface temperature into an environmental heating component and a component influenced by the steel pipe's own parameters; based on solar radiation value, diurnal temperature difference value, wind speed, steel pipe diameter, steel pipe wall thickness, and steel pipe surface absorptivity, the multi-factor coupled initial debonding surface temperature prediction model is constructed through a combination of the environmental heating component and the component influenced by the steel pipe's own parameters; The debonding height calculation module is configured to: construct a multi-factor coupled maximum debonding height prediction model based on the dominant debonding influencing factors, and calculate the maximum debonding height of the interface; and correct the maximum debonding height of the interface by considering the differences in debonding mechanisms of components with different pipe diameters; the construction of the multi-factor coupled maximum debonding height prediction model based on the dominant debonding influencing factors specifically includes: the maximum debonding height being divided into a debonding height component caused by environmental factors, a debonding height component caused by the steel pipe's own parameters, and an initial debonding defect correction component; based on the daily maximum radiation value, daily average wind speed, maximum diurnal temperature difference, steel pipe diameter, steel pipe wall thickness, steel pipe surface absorptivity, and the range of initial debonding defects, a multi-factor coupled maximum debonding height prediction model is constructed through a combination of environmental debonding height items, component debonding height items, and initial defect correction items; The output module is configured to output the starting debonding position and time of the interface determination, and the corrected maximum debonding height.

6. An electronic device, characterized in that, It includes a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor, when executing the program, implements the steps in the method for calculating the initial debonding parameters and height of the steel-concrete interface as described in any one of claims 1-4.

7. A computer-readable storage medium having a computer program stored thereon, characterized in that, When executed by the processor, the program implements the steps in the method for calculating the initial debonding parameters and height of the steel-concrete interface as described in any one of claims 1-4.

8. A computer program product, comprising software code, characterized in that, The program in the software code executes the steps in the calculation method for the initial debonding parameters and height of the steel-concrete interface as described in any one of claims 1-4.

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