Obtaining method and device for large biasing member resistance parameter and reliability index

Abstract

The present application relates to a kind of large biasing component resistance parameter and reliable index acquisition method and device, the method includes: obtaining the reference parameter of target large biasing component, reference parameter includes the geometric dimension and material performance of large biasing component, geometric dimension includes the section width and effective height of large biasing component, reinforcement ratio, material performance includes concrete compressive strength, steel yield strength;Determine relative compression zone height mean, mean square deviation and variation coefficient;Combined with relative compression zone height mean, determine the mean, mean square deviation and variation coefficient of compression bearing capacity;Based on reference parameter, combined with relative compression zone height mean, determine the mean, mean square deviation and variation coefficient of bending bearing capacity;According to the mean and variation coefficient of compression bearing capacity, and the mean and variation coefficient of bending bearing capacity, determine resistance reliable index.The present application can more efficiently obtain the reliability of component, and better reveal the influence law of reinforcement ratio and other reference parameters on the resistance reliable index of large biasing component.

Description

Technical Field

[0001] This invention relates to the field of engineering structural reliability analysis technology, and in particular to a method and apparatus for obtaining resistance parameters and reliability indicators of a large eccentric pressure component. Background Technology

[0002] The bearing capacity of reinforced concrete axially tensioned members is provided solely by the reinforcement. The bearing capacity of axially compressed and shear members is the sum of independent reinforcement and concrete terms. Calculating the coefficient of variation of resistance for these three types of members is relatively simple. Compared to reinforced concrete axially tensioned, axially compressed, and shear members, the bearing capacity of eccentrically compressed members is related to the relative compression zone height. Since the relative compression height is affected by the coupling effect of reinforcement and concrete, calculating its coefficient of variation and reliability index is more complex.

[0003] Existing research considers both the randomness of resistance and load, but too many influencing factors may lead to insufficient understanding of the variation patterns. Various resistance parameters and reliability indices of components under large eccentric loads still need to be addressed. Summary of the Invention

[0004] Therefore, it is necessary to provide a method and apparatus for obtaining the resistance parameters and reliability indicators of a large-biased component, which can better reveal the resistance reliability index of the large-biased component, in order to address the above-mentioned technical problems.

[0005] This invention provides a method for obtaining the resistance parameters and reliability indicators of a component under large eccentric load, the method comprising:

[0006] Obtain the reference parameters of the target large eccentricity component. The reference parameters include the geometric dimensions and material properties of the large eccentricity component. The geometric dimensions include the cross-sectional width and effective height of the large eccentricity component and the reinforcement ratio. The material properties include the compressive strength of concrete and the yield strength of steel bars.

[0007] The mean, root mean, and coefficient of variation of the relative pressure zone height are determined based on the aforementioned benchmark parameters.

[0008] Based on the aforementioned benchmark parameters, the mean value, root mean square error, and coefficient of variation of the compressive bearing capacity are determined in conjunction with the mean value of the relative compression zone height.

[0009] Based on the aforementioned benchmark parameters, the mean value, root mean square error, and coefficient of variation of the flexural bearing capacity are determined in conjunction with the mean value of the relative compression zone height.

[0010] The resistance reliability index is determined based on the mean and coefficient of variation of the compressive bearing capacity and the mean and coefficient of variation of the flexural bearing capacity.

[0011] In one embodiment, determining the mean, root mean square deviation, and coefficient of variation of the relative pressure zone height based on the reference parameters includes:

[0012] Calculate the relative pressure zone height ξ, for

[0013]

[0014] In the formula, λ=e0 / h0, η1=0.5h / h0-λ, η2=1-a' s / h0, R1, η1, η2 are calculation parameters, ξ0 is the initial relative height of the compression zone, b and h0 are the cross-sectional width and effective height, respectively, f c F represents the compressive strength of concrete. s F represents the bearing capacity of the tensile reinforcement. s =A s f y A s f is the area of ​​the tensile reinforcement. y Let λ be the yield strength of the tensile reinforcement, λ be the eccentricity, e0 be the initial eccentricity, and a' be the initial eccentricity. s It is the distance from the resultant point of the compression longitudinal reinforcement to the near edge of the section;

[0015] Calculate the partial derivatives of the relative pressure zone height ξ with respect to each parameter, and then...

[0016]

[0017]

[0018] Calculate the mean relative height of the pressure zone μ ξ σ ξ and coefficient of variation δ ξ ,for

[0019]

[0020]

[0021]

[0022] In the formula, and Let be the mean values ​​of parameters η1 and R1, respectively. σ b , σ h ,

[0023] These are the root mean square deviations of the tensile reinforcement bearing capacity, member cross-sectional width, member effective height, concrete compressive strength, cross-sectional height, and distance from the resultant point of the compressive longitudinal reinforcement to the near edge of the cross-section.

[0024] In one embodiment, determining the mean compressive bearing capacity, root mean square error, and coefficient of variation based on the benchmark parameters and the mean relative compression zone height includes:

[0025] Calculate the partial derivatives of the compressive bearing capacity with respect to each parameter, and then...

[0026]

[0027]

[0028] In the formula, N u For compressive bearing capacity;

[0029] Calculate the mean compressive bearing capacity Root mean square coefficient of variation for

[0030]

[0031]

[0032]

[0033] In one embodiment, the flexural bearing capacity includes the flexural bearing capacity M at the centroid of the section. 0,u and the flexural bearing capacity M of the resultant force point of the tensile reinforcement u The determination of the mean, root mean square deviation, and coefficient of variation of the flexural bearing capacity based on the benchmark parameters and the mean relative compression zone height includes:

[0034] Calculate the flexural bearing capacity M at the centroid of the section. 0,u and the flexural bearing capacity M of the resultant force point of the tensile reinforcement u The partial derivatives with respect to each parameter are:

[0035]

[0036]

[0037]

[0038]

[0039]

[0040] In the formula, F' s F' represents the bearing capacity of the compressed steel reinforcement. s =A' s f' y , where A' s f' is the area of ​​the compressed reinforcing steel. yThe yield strength of the compressed steel reinforcement;

[0041] Calculate the flexural bearing capacity M at the centroid of the section. 0,u and the flexural bearing capacity M of the resultant force point of the tensile reinforcement u mean and for

[0042]

[0043] Calculate the flexural bearing capacity M at the centroid of the section. 0,u and the flexural bearing capacity M of the resultant force point of the tensile reinforcement u mean square deviation and for

[0044]

[0045]

[0046] Calculate the flexural bearing capacity M at the centroid of the section. 0,u and the flexural bearing capacity M of the resultant force point of the tensile reinforcement u coefficient of variation and for

[0047]

[0048] In one embodiment, determining the resistance reliability index based on the mean and coefficient of variation of the compressive bearing capacity and the mean and coefficient of variation of the flexural bearing capacity includes:

[0049] Determine the resistance variation coefficient considering the uncertainty of the calculation model. for

[0050]

[0051] In the formula, δ p To calculate the coefficient of variation for the uncertainties of the model;

[0052] Calculate the mean resistance coefficient and resistance partial factor for

[0053]

[0054]

[0055] In the formula, N u,k and N u,d These are the standard value and design value of the compressive bearing capacity, M. 0,u,k and M 0,u,dThese are the standard and design values ​​of the flexural capacity at the centroid of the cross section, M. u,k and M u,d These are the standard and design values ​​of the bending bearing capacity at the resultant force point of the tensile reinforcement, respectively.

[0056] Determine the resistance reliability index β R ,for

[0057]

[0058] The present invention also provides a device for obtaining the resistance parameters and reliability indicators of a large eccentricity component, the device comprising:

[0059] The acquisition module is used to acquire the reference parameters of the target large eccentricity component. The reference parameters include the geometric dimensions and material properties of the large eccentricity component. The geometric dimensions include the cross-sectional width and effective height of the large eccentricity component and the reinforcement ratio. The material properties include the compressive strength of concrete and the yield strength of steel bars.

[0060] The first determining module is used to determine the mean, root mean square error, and coefficient of variation of the relative pressure zone height based on the reference parameters.

[0061] The second determining module is used to determine the mean value, root mean square error, and coefficient of variation of the compressive bearing capacity based on the benchmark parameters and the mean value of the relative compression zone height.

[0062] The third determining module is used to determine the mean value, root mean square error, and coefficient of variation of the flexural bearing capacity based on the benchmark parameters and the mean value of the relative compression zone height.

[0063] The fourth determining module is used to determine the resistance reliability index based on the mean and coefficient of variation of the compressive bearing capacity and the mean and coefficient of variation of the flexural bearing capacity.

[0064] The present invention also provides an electronic device, including a memory and a processor, wherein the memory stores a computer program, and the processor executes the computer program to implement the method for obtaining the resistance parameters and reliability indicators of a large bias component as described above.

[0065] The present invention also provides a computer-readable storage medium storing a computer program, which, when executed by a processor, implements the method for obtaining the resistance parameters and reliability indicators of a large biased component as described above.

[0066] The present invention also provides a computer program product, including a computer program that, when executed by a processor, implements the method for obtaining the resistance parameters and reliability indicators of a large eccentricity component as described above.

[0067] The above-mentioned methods, devices, and electronic equipment for obtaining resistance parameters and reliability indices of heavily eccentrically loaded components, taking the heavily eccentrically loaded components as the object, do not consider the randomness of the load, but fully consider the random influence factors of the resistance. They provide methods for obtaining the relative height of the compression zone and the coefficient of variation of the resistance, which can obtain the reliability of the components more efficiently and reveal the influence law of the reference parameters such as the geometric dimensions and material properties of the heavily eccentrically loaded components on the resistance reliability index of the heavily eccentrically loaded components. Attached Figure Description

[0068] To more clearly illustrate the technical solutions in this invention or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are some embodiments of this invention. For those skilled in the art, other drawings can be obtained from these drawings without creative effort.

[0069] Figure 1 This is a flowchart of a method for obtaining the resistance parameters and reliability indicators of a large eccentricity component according to an embodiment of the present invention;

[0070] Figure 2 This is a schematic diagram of a device for obtaining resistance parameters and reliability indicators of a large eccentricity component according to an embodiment of the present invention;

[0071] Figure 3 This is an internal structural diagram of a computer device according to one embodiment. Detailed Implementation

[0072] To make the objectives, technical solutions, and advantages of the embodiments of the present invention clearer, the technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0073] The following is combined with Figures 1-3 This invention describes a method and apparatus for obtaining the resistance parameters and reliability indicators of a large eccentricity component.

[0074] like Figure 1 As shown, in one embodiment, a method for obtaining the resistance parameters and reliability indicators of a large eccentricity component includes the following steps:

[0075] Step S110: Obtain the reference parameters of the target large eccentricity component. The reference parameters include the geometric dimensions and material properties of the large eccentricity component. The geometric dimensions include the cross-sectional width and effective height of the large eccentricity component and the reinforcement ratio. The material properties include the compressive strength of concrete and the yield strength of steel bars.

[0076] Among them, eccentrically compressed members refer to members subjected to large eccentric compression. Reinforced concrete eccentrically compressed members are widely used in bridges and other engineering projects, such as the main arch ring in arch bridges, the piers in beam bridges, and column foundations. A common characteristic of these members is that axial compression and bending moment act on their cross-section. When the relative eccentricity is large and the tensile reinforcement ratio is small, the failure of the eccentrically compressed member is due to the tensile reinforcement reaching its yield strength first, leading to the crushing of the compressive concrete. This failure is called eccentrically compressed failure.

[0077] Step S120: Determine the mean, root mean square, and coefficient of variation of the relative pressure zone height based on the baseline parameters.

[0078] Specifically, first, calculate the relative height ξ of the pressure zone, which is...

[0079]

[0080] In the formula, λ=e0 / h0, η1=0.5h / h0-λ, η2=1-a' s / h0, R1, η1, η2 are calculation parameters, ξ0 is the initial relative height of the compression zone, b and h0 are the cross-sectional width and effective height, respectively, f c F represents the compressive strength of concrete. s F represents the bearing capacity of the tensile reinforcement. s =A s f y A s f is the area of ​​the tensile reinforcement. y Let λ be the yield strength of the tensile reinforcement, λ be the eccentricity, e0 be the initial eccentricity, and a' be the initial eccentricity. s It is the distance from the resultant point of the compression longitudinal reinforcement to the near edge of the section.

[0081] Secondly, the partial derivatives of the relative pressure zone height ξ with respect to each parameter are calculated as follows:

[0082]

[0083]

[0084] Finally, the average height of the relative pressure zone μ ξ σ ξ and coefficient of variation δ ξ ,for

[0085]

[0086]

[0087]

[0088] In the formula, and Let be the mean values ​​of parameters η1 and R1, respectively. σ b , σ h ,

[0089] These are the root mean square deviations of the tensile reinforcement bearing capacity, member cross-sectional width, member effective height, concrete compressive strength, cross-sectional height, and distance from the resultant point of the compressive longitudinal reinforcement to the near edge of the cross-section.

[0090] Step S130: Based on the benchmark parameters, determine the mean, root mean square, and coefficient of variation of the compressive bearing capacity by combining the mean relative compression zone height.

[0091] Specifically, the partial derivatives of the compressive bearing capacity with respect to each parameter are:

[0092]

[0093]

[0094] In the formula, N u For compressive bearing capacity.

[0095] Then, calculate the mean compressive bearing capacity. Root mean square coefficient of variation for

[0096]

[0097]

[0098]

[0099] Step S140: Based on the benchmark parameters, determine the mean, root mean square, and coefficient of variation of the flexural bearing capacity by combining the mean relative compression zone height.

[0100] Among them, the flexural bearing capacity includes the flexural bearing capacity about the centroid of the section, M. 0,u and the flexural bearing capacity M of the resultant force point of the tensile reinforcement u .

[0101] Specifically, first, calculate the flexural bearing capacity M at the centroid of the section. 0,u and the flexural bearing capacity M of the resultant force point of the tensile reinforcement u The partial derivatives with respect to each parameter are:

[0102]

[0103]

[0104]

[0105]

[0106]

[0107] In the formula, F' s F' represents the bearing capacity of the compressed steel reinforcement. s =A' s f' y , where A' s f' is the area of ​​the compressed reinforcing steel. y This represents the yield strength of the compressed steel reinforcement.

[0108] Secondly, calculate the flexural bearing capacity M at the centroid of the section. 0,u and the flexural bearing capacity M of the resultant force point of the tensile reinforcement u mean and for

[0109]

[0110] Next, calculate the flexural capacity M at the centroid of the section. 0,u and the flexural bearing capacity M of the resultant force point of the tensile reinforcement u mean square deviation and for

[0111]

[0112]

[0113] Finally, the bending capacity M at the centroid of the section is calculated. 0,u and the flexural bearing capacity M of the resultant force point of the tensile reinforcement u coefficient of variation and for

[0114]

[0115] Step S150: Determine the resistance reliability index based on the mean and coefficient of variation of compressive bearing capacity and the mean and coefficient of variation of flexural bearing capacity.

[0116] Specifically, first, determine the resistance variation coefficient considering the uncertainty of the calculation model. for

[0117]

[0118] In the formula, δ p To calculate the coefficient of variation for the model's uncertainty.

[0119] Secondly, calculate the mean resistance coefficient. and resistance partial factor for

[0120]

[0121]

[0122] In the formula, N u,k and N u,d These are the standard value and design value of the compressive bearing capacity, M. 0,u,k and M 0,u,d These are the standard and design values ​​of the flexural capacity at the centroid of the cross section, M. u,k and M u,d These are the standard and design values ​​of the bending bearing capacity of the resultant force point of the tensile reinforcement, respectively.

[0123] Finally, the resistance reliability index β was determined. R ,for

[0124]

[0125] The above-mentioned method for obtaining the resistance parameters and reliability index of heavily eccentrically loaded components takes these components as the object, does not consider the randomness of the load, but fully considers the random influence factors of resistance (such as geometric dimensions, high material strength, etc.). It provides a method for obtaining the relative height of the compression zone and the coefficient of variation of resistance, which can efficiently obtain the reliability of the components and better reveal the influence law of the reference parameters such as the geometric dimensions and material properties of the heavily eccentrically loaded components on the resistance reliability index of the components.

[0126] The following describes the device for obtaining the resistance parameters and reliability indicators of a large-biased component provided by the present invention. The device for obtaining the resistance parameters and reliability indicators of a large-biased component described below can be referred to in correspondence with the method for obtaining the resistance parameters and reliability indicators of a large-biased component described above.

[0127] like Figure 2 As shown, in one embodiment, a device for obtaining resistance parameters and reliability indicators of a large biased component includes an acquisition module 210, a first determination module 220, a second determination module 230, a third determination module 240, and a fourth determination module 250.

[0128] The acquisition module is used to acquire the reference parameters of the target large eccentricity component. The reference parameters include the geometric dimensions and material properties of the large eccentricity component. The geometric dimensions include the cross-sectional width and effective height of the large eccentricity component and the reinforcement ratio. The material properties include the compressive strength of concrete and the yield strength of steel bars.

[0129] The first determination module is used to determine the mean, root mean square error, and coefficient of variation of the relative pressure zone height based on the baseline parameters.

[0130] The second determination module is used to determine the mean, root mean square error, and coefficient of variation of compressive bearing capacity based on the benchmark parameters and the mean relative compression zone height.

[0131] The third determination module is used to determine the mean, root mean square, and coefficient of variation of flexural bearing capacity based on the benchmark parameters and the mean relative compression zone height.

[0132] The fourth determination module is used to determine the resistance reliability index based on the mean and coefficient of variation of compressive bearing capacity and the mean and coefficient of variation of flexural bearing capacity.

[0133] Figure 3 This example illustrates a schematic diagram of the physical structure of an electronic device, which can be a smart terminal. Its internal structure diagram can be as follows: Figure 3 As shown. The electronic device includes a processor, memory, and network interface connected via a system bus. The processor provides computing and control capabilities. The memory includes a non-volatile storage medium and internal memory. The non-volatile storage medium stores an operating system and computer programs. The internal memory provides an environment for the operation of the operating system and computer programs in the non-volatile storage medium. The network interface is used to communicate with external terminals via a network connection. When the computer program is executed by the processor, it implements a method for obtaining the resistance parameters and reliability indicators of a high-biased component, the method including:

[0134] Obtain the reference parameters of the target large eccentric load member. The reference parameters include the geometric dimensions and material properties of the large eccentric load member. The geometric dimensions include the cross-sectional width and effective height of the large eccentric load member and the reinforcement ratio. The material properties include the compressive strength of concrete and the yield strength of steel bars.

[0135] The mean, root mean square, and coefficient of variation of the relative pressure zone height are determined based on the baseline parameters.

[0136] Based on the benchmark parameters, the mean, root mean square, and coefficient of variation of the compressive bearing capacity are determined by combining the mean height of the relative compression zone.

[0137] Based on the benchmark parameters, the mean, root mean square, and coefficient of variation of the flexural bearing capacity are determined by combining the mean height of the relative compression zone.

[0138] The resistance reliability index is determined based on the mean and coefficient of variation of compressive bearing capacity and the mean and coefficient of variation of flexural bearing capacity.

[0139] Those skilled in the art will understand that Figure 3The structure shown is merely a block diagram of a portion of the structure related to the present invention and does not constitute a limitation on the electronic device to which the present invention is applied. A specific electronic device may include more or fewer components than those shown in the figure, or combine certain components, or have different component arrangements.

[0140] On the other hand, the present invention also provides a computer storage medium storing a computer program, which, when executed by a processor, implements a method for obtaining the resistance parameters and reliability indicators of a large eccentricity component, the method comprising:

[0141] Obtain the reference parameters of the target large eccentric load member. The reference parameters include the geometric dimensions and material properties of the large eccentric load member. The geometric dimensions include the cross-sectional width and effective height of the large eccentric load member and the reinforcement ratio. The material properties include the compressive strength of concrete and the yield strength of steel bars.

[0142] The mean, root mean square, and coefficient of variation of the relative pressure zone height are determined based on the baseline parameters.

[0143] Based on the benchmark parameters, the mean, root mean square, and coefficient of variation of the compressive bearing capacity are determined by combining the mean height of the relative compression zone.

[0144] Based on the benchmark parameters, the mean, root mean square, and coefficient of variation of the flexural bearing capacity are determined by combining the mean height of the relative compression zone.

[0145] The resistance reliability index is determined based on the mean and coefficient of variation of compressive bearing capacity and the mean and coefficient of variation of flexural bearing capacity.

[0146] In another aspect, a computer program product or computer program is provided, comprising computer instructions stored in a computer-readable storage medium. A processor of an electronic device reads the computer instructions from the computer-readable storage medium, and when the processor executes the computer instructions, it implements a method for obtaining the resistance parameters and reliability indicators of a large-biased component, the method comprising:

[0147] Obtain the reference parameters of the target large eccentric load member. The reference parameters include the geometric dimensions and material properties of the large eccentric load member. The geometric dimensions include the cross-sectional width and effective height of the large eccentric load member and the reinforcement ratio. The material properties include the compressive strength of concrete and the yield strength of steel bars.

[0148] The mean, root mean square, and coefficient of variation of the relative pressure zone height are determined based on the baseline parameters.

[0149] Based on the benchmark parameters, the mean, root mean square, and coefficient of variation of the compressive bearing capacity are determined by combining the mean height of the relative compression zone.

[0150] Based on the benchmark parameters, the mean, root mean square, and coefficient of variation of the flexural bearing capacity are determined by combining the mean height of the relative compression zone.

[0151] The resistance reliability index is determined based on the mean and coefficient of variation of compressive bearing capacity and the mean and coefficient of variation of flexural bearing capacity.

[0152] Those skilled in the art will understand that all or part of the processes in the methods of the above embodiments can be implemented by a computer program instructing related hardware. This computer program can be stored in a non-volatile computer-readable storage medium. When executed, the computer program can include the processes of the embodiments of the above methods. Any references to memory, storage, databases, or other media used in the embodiments provided by this invention can include non-volatile and / or volatile memory. Non-volatile memory may include read-only memory (ROM), programmable ROM (PROM), electrically programmable ROM (EPROM), electrically erasable programmable ROM (EEPROM), or flash memory. Volatile memory may include random access memory (RAM) or external cache memory.

[0153] By way of illustration and not limitation, RAM is available in a variety of forms, such as static RAM (SRAM), dynamic RAM (DRAM), synchronous DRAM (SDRAM), double data rate SDRAM (DDRSDRAM), enhanced SDRAM (ESDRAM), synchronous link DRAM (SLDRAM), RAMbus direct RAM (RDRAM), direct memory bus dynamic RAM (DRDRAM), and memory bus dynamic RAM (RDRAM), etc.

[0154] The technical features of the above embodiments can be combined in any way. For the sake of brevity, not all possible combinations of the technical features in the above embodiments are described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of this specification.

[0155] The embodiments described above are merely illustrative of several implementations of the present invention, and while the descriptions are specific and detailed, they should not be construed as limiting the scope of the present invention. It should be noted that those skilled in the art can make various modifications and improvements without departing from the concept of the present invention, and these modifications and improvements all fall within the scope of protection of the present invention. Therefore, the scope of protection of this patent should be determined by the appended claims.

Claims

1. A method for obtaining the resistance parameters and reliability indicators of a component under large eccentric load, characterized in that, The method includes: Obtain the reference parameters of the target large eccentric load member. The reference parameters include the geometric dimensions and material properties of the large eccentric load member. The geometric dimensions include the cross-sectional width and effective height of the large eccentric load member and the reinforcement ratio. The material properties include the compressive strength of concrete and the yield strength of steel bars. The mean, root mean, and coefficient of variation of the relative pressure zone height are determined based on the aforementioned benchmark parameters. Based on the aforementioned benchmark parameters, the mean value, root mean square error, and coefficient of variation of the compressive bearing capacity are determined in conjunction with the mean value of the relative compression zone height. Based on the aforementioned benchmark parameters, the mean value, root mean square error, and coefficient of variation of the flexural bearing capacity are determined in conjunction with the mean value of the relative compression zone height. The resistance reliability index is determined based on the mean and coefficient of variation of the compressive bearing capacity and the mean and coefficient of variation of the flexural bearing capacity. The determination of the mean, root mean square error, and coefficient of variation of the relative pressure zone height based on the benchmark parameters includes: Calculate the relative pressure zone height ξ ,for ， In the formula, , , , , , , , These are the calculation parameters, This represents the initial relative height of the pressure zone. and These are the cross-sectional width and effective height, respectively. For the cross-sectional height, For concrete compressive strength, For the bearing capacity of the tensile reinforcement, , For the area of ​​the tensile reinforcement, The yield strength of the tensile steel reinforcement. For the eccentricity, The initial eccentricity, It is the distance from the resultant point of the compression longitudinal reinforcement to the near edge of the section; Calculate the relative pressure zone height ξ The partial derivatives with respect to each parameter are: ， ； Calculate the average height of the relative pressure zone , mean square deviation and coefficient of variation ,for ， ， ， In the formula, and Parameters and The mean, , , , , , These are the root mean square deviations of the tensile reinforcement bearing capacity, member section width, member effective height, concrete compressive strength, section height, and distance from the resultant point of the compressive longitudinal reinforcement to the near edge of the section. The determination of the mean compressive bearing capacity, root mean square error, and coefficient of variation based on the benchmark parameters and the mean relative compression zone height includes: Calculate the partial derivatives of the compressive bearing capacity with respect to each parameter, and then... ， ， In the formula, N u For compressive bearing capacity; Calculate the mean compressive bearing capacity , mean square deviation Coefficient of variation ,for ， ， ； The bending bearing capacity includes the bending bearing capacity at the centroid of the section. M 0,u and the flexural bearing capacity of the resultant force point of the tensile reinforcement M u The determination of the mean, root mean square deviation, and coefficient of variation of the flexural bearing capacity based on the benchmark parameters and the mean relative compression zone height includes: Calculate the flexural capacity at the centroid of the cross section. M 0,u and the flexural bearing capacity of the resultant force point of the tensile reinforcement M u The partial derivatives with respect to each parameter are: ， ， ， ， ， ， ， ， ， In the formula, For the bearing capacity of the compressed steel reinforcement, ,in The area of ​​the compressed reinforcing steel. The yield strength of the compressed steel reinforcement; Calculate the flexural capacity at the centroid of the cross section. and the flexural bearing capacity of the resultant force point of the tensile reinforcement mean and ,for ， ； Calculate the flexural capacity at the centroid of the cross section. and the flexural bearing capacity of the resultant force point of the tensile reinforcement mean square deviation and ,for ， ； Calculate the flexural capacity at the centroid of the cross section. and the flexural bearing capacity of the resultant force point of the tensile reinforcement coefficient of variation and ,for ， ； The determination of the resistance reliability index based on the mean and coefficient of variation of the compressive bearing capacity and the mean and coefficient of variation of the flexural bearing capacity includes: Determine the resistance variation coefficient considering the uncertainty of the calculation model. , , ,for ， ， ， In the formula, To calculate the coefficient of variation for the uncertainties of the model; Calculate the mean resistance coefficient , , and resistance partial factor , , , ， ， ， ， ， ， In the formula, and These are the standard value and design value of the compressive bearing capacity, respectively. and These are the standard and design values ​​of the flexural bearing capacity at the centroid of the cross section, respectively. and These are the standard and design values ​​of the bending bearing capacity at the resultant force point of the tensile reinforcement, respectively. Determine the reliability index of resistance ,for 。 2. A device for obtaining resistance parameters and reliability indicators of a component under large eccentricity, used to implement the method for obtaining resistance parameters and reliability indicators of a component under large eccentricity as described in claim 1, characterized in that, The device includes: The acquisition module is used to acquire the reference parameters of the target large eccentricity component. The reference parameters include the geometric dimensions and material properties of the large eccentricity component. The geometric dimensions include the cross-sectional width and effective height of the large eccentricity component and the reinforcement ratio. The material properties include the compressive strength of concrete and the yield strength of steel bars. The first determining module is used to determine the mean, root mean square error, and coefficient of variation of the relative pressure zone height based on the reference parameters. The second determining module is used to determine the mean value, root mean square error, and coefficient of variation of the compressive bearing capacity based on the benchmark parameters and the mean value of the relative compression zone height. The third determining module is used to determine the mean value, root mean square error, and coefficient of variation of the flexural bearing capacity based on the benchmark parameters and the mean value of the relative compression zone height. The fourth determining module is used to determine the resistance reliability index based on the mean and coefficient of variation of the compressive bearing capacity and the mean and coefficient of variation of the flexural bearing capacity.

3. An electronic device comprising a memory and a processor, wherein the memory stores a computer program, characterized in that, When the processor executes the computer program, it implements the steps of the method of claim 1.

4. A computer-readable storage medium storing a computer program, characterized in that, When the computer program is executed by a processor, it implements the steps of the method of claim 1.

5. A computer program product, comprising a computer program, characterized in that, When the computer program is executed by a processor, it implements the steps of the method of claim 1.

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