CN117725664B - Method, device, equipment and medium for calculating ultimate bearing capacity of perforated plate connecting piece - Google Patents
Method, device, equipment and medium for calculating ultimate bearing capacity of perforated plate connecting piece Download PDFInfo
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Abstract
The invention provides a method, a device, equipment and a medium for calculating the ultimate bearing capacity of an apertured plate connecting piece, which relate to the technical field of bridge safety and comprise the steps of obtaining ultimate slippage and ultimate bearing capacity corresponding to an apertured plate connecting piece model under different component parameters; carrying out correlation analysis on component parameters of the orifice plate connector model and the limit slippage, and determining correlation parameters of the component parameters and the limit slippage; lasso regression is carried out on the limit slippage and the correlation parameters thereof to obtain a limit slippage-correlation parameter calculation model; carrying out ridge regression analysis on the ultimate slip and ultimate bearing capacity to obtain an ultimate bearing capacity-ultimate slip amount calculation model; the invention provides a general algorithm for mechanical behavior of a perforated plate connecting piece, which is used for guiding design and construction of the constrained perforated plate connecting piece in a bridge.
Description
Technical Field
The invention relates to the technical field of bridge safety, in particular to a method, a device, equipment and a medium for calculating the ultimate bearing capacity of an open pore plate connecting piece.
Background
In a span bridge, the tension of the main cable is mainly transmitted through a steel plate embedded in reinforced concrete, and in order to achieve this transmission, an open-pore plate connector must be provided between the reinforced concrete and the steel. The structure system of the span bridge anchoring strong constraint perforated plate connector is huge, in order to comprehensively understand the mechanical property of the strong constraint perforated plate connector in actual engineering, data and research results which are closer to actual engineering conditions are obtained through a test method, and a set of general algorithm for constraining the mechanical behavior of the perforated plate connector is deduced by utilizing the data and the research results obtained through the test, so that the design and construction of the constraint perforated plate connector in a bridge are better guided.
Disclosure of Invention
The invention aims to provide a method, a device, equipment and a medium for calculating the ultimate bearing capacity of an open pore plate connecting piece, so as to solve the problems. In order to achieve the above purpose, the technical scheme adopted by the invention is as follows:
in a first aspect, the present application provides a method for calculating an ultimate bearing capacity of an apertured plate connector, comprising:
establishing an aperture plate connecting piece model in finite element software, and carrying out a numerical test on the aperture plate connecting piece model to obtain the ultimate slip and ultimate bearing capacity corresponding to the aperture plate connecting piece model under different component parameters;
carrying out correlation analysis on component parameters of the orifice plate connector model and the limit slippage, and determining correlation parameters of the component parameters and the limit slippage;
Carrying out lasso regression analysis on the limit slippage and the correlation parameters thereof to obtain a limit slippage-correlation parameter calculation model;
carrying out ridge regression analysis on the ultimate slip and ultimate bearing capacity to obtain an ultimate bearing capacity-ultimate slip amount calculation model;
And acquiring component parameters of the perforated plate connecting piece, and substituting the component parameters into a limit slip quantity-correlation parameter calculation model and a limit bearing capacity-limit slip quantity calculation model in sequence to calculate and obtain the limit bearing capacity.
In a second aspect, the present application also provides an ultimate bearing capacity calculating apparatus for an apertured plate connector, comprising:
And a numerical test module: the method comprises the steps of establishing an opening plate connecting piece model in finite element software, and carrying out numerical test on the opening plate connecting piece model to obtain limit sliding quantity and limit bearing capacity corresponding to the opening plate connecting piece model under different component parameters;
Correlation analysis module: the method comprises the steps of performing correlation analysis on component parameters of an orifice plate connector model and limit slippage, and determining correlation parameters of the component parameters and the limit slippage;
A first regression analysis module: the method comprises the steps of performing lasso regression analysis on limit slippage and correlation parameters thereof to obtain a limit slippage-correlation parameter calculation model;
a second regression analysis module: the method comprises the steps of performing ridge regression analysis on the ultimate slip and ultimate bearing capacity to obtain an ultimate bearing capacity-ultimate slip amount calculation model;
The calculation module: and the component parameters are sequentially substituted into the limit slip quantity-correlation parameter calculation model and the limit bearing capacity-limit slip quantity calculation model to calculate and obtain the limit bearing capacity.
In a third aspect, the present application also provides an ultimate bearing capacity computing device of an apertured plate connector, comprising:
a memory for storing a computer program;
And the processor is used for realizing the step of the ultimate bearing capacity calculation method of the perforated plate connecting piece when executing the computer program.
In a fourth aspect, the present application further provides a readable storage medium, on which a computer program is stored, which when executed by a processor, implements the steps of the method for calculating ultimate bearing capacity based on an aperture plate connector described above.
The beneficial effects of the invention are as follows:
According to the invention, through numerical tests on the perforated plate connecting pieces with different component parameters, the ultimate slip quantity and ultimate bearing capacity of the perforated plate connecting pieces conforming to the actual working conditions are obtained. Carrying out spearman correlation analysis on each component parameter of the orifice plate connecting piece to determine a correlation coefficient of the limit slip quantity, and calculating to obtain a numerical relation between each correlation coefficient and the limit slip quantity by using a regression model; and finally, calculating to obtain the numerical relation between the ultimate slip and the ultimate bearing capacity through a regression model, and finally, obtaining the numerical relation between the ultimate slip and each component parameter of the perforated plate connecting piece. In the actual working condition, the limit slip quantity of the perforated plate connecting piece can be directly calculated by utilizing the component parameters of the perforated plate connecting piece, and the actual application of the design and construction of the perforated plate connecting piece in the bridge can be better guided through the advanced evaluation of the limit slip quantity.
Additional features and advantages of the invention will be set forth in the description which follows, and in part will be apparent from the description, or may be learned by practice of the embodiments of the invention. The objectives and other advantages of the invention will be realized and attained by the structure particularly pointed out in the written description and claims thereof as well as the appended drawings.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings that are needed in the embodiments will be briefly described below, it being understood that the following drawings only illustrate some embodiments of the present invention and therefore should not be considered as limiting the scope, and other related drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.
FIG. 1 is a flow chart of a method for calculating the ultimate bearing capacity of an apertured plate connector according to an embodiment of the invention;
FIG. 2 is a schematic view of an open panel connector according to an embodiment of the present invention;
FIG. 3 is a schematic view of a device for calculating ultimate bearing capacity of an apertured plate connector according to an embodiment of the present invention;
fig. 4 is a schematic structural diagram of an ultimate bearing capacity calculating device of the perforated plate connector according to the embodiment of the invention.
The marks in the figure:
1. Concrete; 2. perforated steel plates, 3, penetrating steel bars;
800. Ultimate bearing capacity calculating equipment of the perforated plate connecting piece; 801. a processor; 802. a memory; 803. a multimedia component; 804. an I/O interface; 805. a communication component.
Detailed Description
For the purpose of making the objects, technical solutions and advantages of the embodiments of the present invention more apparent, the technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present invention, and it is apparent that the described embodiments are some embodiments of the present invention, but not all embodiments of the present invention. The components of the embodiments of the present invention generally described and illustrated in the figures herein may be arranged and designed in a wide variety of different configurations. Thus, the following detailed description of the embodiments of the invention, as presented in the figures, is not intended to limit the scope of the invention, as claimed, but is merely representative of selected embodiments of the invention. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
It should be noted that: like reference numerals and letters denote like items in the following figures, and thus once an item is defined in one figure, no further definition or explanation thereof is necessary in the following figures. Meanwhile, in the description of the present invention, the terms "first", "second", and the like are used only to distinguish the description, and are not to be construed as indicating or implying relative importance.
Example 1:
the embodiment provides a method for calculating the ultimate bearing capacity of an apertured plate connecting piece.
Referring to fig. 1, the method is shown to include:
S1, establishing an aperture plate connecting piece model in finite element software, and carrying out a numerical test on the aperture plate connecting piece model to obtain limit slip quantity and limit bearing capacity corresponding to the aperture plate connecting piece model under different component parameters;
Specifically, the step S1 includes:
S11, establishing an open pore plate connecting piece model in finite element software, wherein the open pore plate connecting piece model is composed of a penetrating steel bar 3, concrete 1 and an open pore steel plate 2, and the concrete 1 comprises a concrete tenon, as shown in FIG. 2;
specifically, the perforated plate connecting piece is a strong constraint perforated plate connecting piece.
S12, setting different component parameters for the penetrating steel bar 3 and the concrete tenons, and carrying out numerical tests on the perforated plate connecting piece model based on the different component parameters to obtain limit slippage and limit bearing capacity corresponding to the perforated plate connecting piece model under the different component parameters;
Specifically, the parameters of the penetrating steel bar 3 include the diameter of the penetrating steel bar 3, the strain (limit strain) when the penetrating steel bar 3 reaches the yield strength, the tensile strength, and the like, the parameters of the concrete tenon include the diameter of the concrete tenon, and the like, and the parameters of the concrete 1 include the compressive strain (limit compressive strain) when the axial compressive strength is reached, the compressive stress (limit stress), and the like.
S13, preprocessing a plurality of component parameters, limit slippage and limit bearing capacity in sequence to remove abnormal values;
preferably, the Laida criterion is adopted Principle) screening out abnormal values, removing the abnormal values, and filling by using an average value;
Specifically, taking the limit slip amount obtained by the test as an example, the value of the limit slip amount is:
；
The standard deviation of the limit slip is: （1）；
Wherein, Representing the quantity of limiting slip,/>Represents the/>Limit slip amount,/>The method is characterized by comprising the following steps of:
（2）；
The standard deviation and mean normal distribution numerical table is used as shown in table 1 below:
Will be located at The limiting slip value outside the range is taken as an abnormal value, the elimination processing is carried out, and the average value/> isutilizedFilling the values after the elimination.
Based on the above embodiment, the method further includes:
s2, carrying out correlation analysis on component parameters of the orifice plate connecting piece model and the limit slippage, and determining correlation parameters of the component parameters and the limit slippage;
specifically, the step S2 includes:
s21, carrying out Skerman correlation analysis on component parameters and limit slippage of the orifice plate connector model to obtain a correlation coefficient of the component parameters and the limit slippage;
s22, determining correlation parameters of the limit slip quantity based on the correlation coefficient, wherein the correlation parameters comprise the diameter and the limit compressive strain of the concrete tenons, and the diameter and the limit strain of the penetrating steel bars 3;
Based on the correlation coefficient thermodynamic diagram obtained by the Szelman correlation analysis, it can be seen that the diameter of the concrete tenon and the limit slippage are in moderate positive correlation, the limit compressive strain of the concrete 1 and the limit slippage are in weak negative correlation, the diameter of the penetrating steel bar 3 and the limit slippage are in moderate positive correlation, and the limit strain of the penetrating steel bar 3 and the limit slippage are in moderate positive correlation.
S23, carrying out dimensionless treatment on the limit slippage, the diameter of the concrete tenon and the diameter of the penetrating steel bar 3 in sequence to obtain a first dimensionless slippage and a dimensionless diameter;
Specifically, performing dimensionless treatment on the limit slippage to obtain a first dimensionless slippage:
（3）；
In the method, in the process of the invention, Representing a first dimensionless slippage,/>Represents the limit slip amount,/>Representing the diameter of the concrete tenon,/>The diameter of the through-steel bar 3 is shown.
The concrete tenons and the diameters of the penetrating steel bars 3 are subjected to dimensionless treatment to obtain dimensionless diameters:
（4）；
In the method, in the process of the invention, Representing a dimensionless diameter.
Since the ultimate compressive strain of the concrete 1 and the ultimate strain of the penetrating reinforcing bar 3 are both dimensionless, no dimensionless treatment is required.
The partial data of the first dimensionless slippage and the dimensionless diameter are shown in table 2:
Based on the above embodiment, the method further includes:
S3, carrying out Lasso (Lasso) regression analysis on the limit slippage and the correlation parameters thereof to obtain a limit slippage-correlation parameter calculation model;
In this embodiment, the relation between the dimensionless number of slips and the correlation coefficient can be expressed primarily as:
（5）；
In the method, in the process of the invention, Represents the ultimate compressive strain of concrete 1,/>Indicating the extreme strain through the rebar 3.
Based on the existing experimental data and an empirical formula, an initial model for establishing the limit slippage-correlation parameter is as follows:
（6）；
In the method, in the process of the invention, 、/>、/>、/>All represent calculation parameters.
Specifically, the step S3 includes:
s31, constructing a first data set by utilizing a plurality of groups of dimensionless diameters, the ultimate compressive strain of the concrete 1, the ultimate strain of the penetrating steel bar 3 and the corresponding first dimensionless slippage;
Specifically, a set of data samples is composed of dimensionless diameters Ultimate compressive strain of concrete 1Limiting strain/>, penetrating the reinforcement 3And the corresponding first dimensionless slippage/>The composition is formed.
S32, dividing the first data set into a first training set and a first test set, wherein the dimensionless diameter, the ultimate compressive strain of the concrete 1 and the ultimate strain of the penetrating reinforcing steel bar 3 are used as input labels, and the first dimensionless slippage is used as output labels;
s33, taking the sum of the least square loss function and the L1 regularization term as an objective function, and fitting a Lasso regression model by using a first training set;
specifically, the expression of the objective function is as follows: （7）；
In the method, in the process of the invention, Representing an objective function,/>A mean square error loss function of a common least square method represents a square difference between an actual value and a model predicted value; /(I)Is a regularization parameter controlling the intensity of the L1 regularization term,/>Is the i-th coefficient of the model,/>Representing the total number of coefficients.
Specifically, the regularization parameter alpha of Lasso regression is used for controlling the sparseness degree of the coefficient, and a proper regularization parameter is selected through methods such as cross verification and the like.
The L1 regularization term can perform feature screening, eliminates features with small influence on the target variable, highlights features with significant influence on the target variable, reduces coefficients of some unimportant features to zero, achieves the effect of feature selection, enables the model to be easier to explain and understand, reduces complexity of the model, and improves generalization capability of the model.
S34, evaluating the fitting performance of the regression model by using the first test set, and determining the fitting goodness of the regression modelWhen the preset value is reached, outputting parameters corresponding to the dimensionless diameter, the ultimate compressive strain of the concrete 1 and the ultimate strain of the penetrating steel bar 3, wherein the results are shown in table 3:
S35, constructing a limit slippage-correlation parameter calculation model by using the output parameters:
As can be seen from table 3, the parameter values are as follows:
（8）；
the limit slip quantity-correlation parameter calculation model can be obtained by the method:
；
Based on the above embodiment, the method further includes:
S4, carrying out ridge regression analysis on the limit sliding quantity and the limit bearing capacity to obtain a limit bearing capacity-limit sliding quantity calculation model;
Specifically, the step S4 includes:
S41, carrying out dimensionless treatment on the limit slippage and the limit bearing capacity to obtain a second dimensionless slippage and a dimensionless bearing capacity;
Specifically, the dimensionless bearing capacity calculating method comprises the following steps:
（9）；
In the method, in the process of the invention, Representing dimensionless bearing capacity,/>Representing ultimate bearing capacity,/>The ultimate compressive stress of the concrete 1 is shown.
The second dimensionless slippage calculating method comprises the following steps:（10）；
In the method, in the process of the invention, Represents the limit slip amount,/>Representing a second dimensionless slippage,/>The tensile strength of the through-steel bar 3 is shown.
In this embodiment, the relationship between the dimensionless number bearing capacity and the second dimensionless number slip can be expressed as:（11）；
Based on the existing experimental data and an empirical formula, an initial model for establishing the ultimate bearing capacity-ultimate slip is as follows: （12）；
In the method, in the process of the invention, And/>All are calculation parameters;
S42, constructing a second data set by utilizing a plurality of groups of second dimensionless slippage and dimensionless bearing capacity;
Specifically, one group of data samples is represented by a second dimensionless number of slips And corresponding dimensionless bearing capacityThe composition is formed.
S43, dividing the second data set into a second training set and a second testing set, wherein a second dimensionless slippage is used as an input label, and a dimensionless bearing capacity is used as an output label;
S44, taking the sum of the least square loss function and the L2 regularization term as an objective function, and fitting a ridge regression model by using a second training set;
Specifically, the expression of the objective function is as follows; （13）；
In the method, in the process of the invention, Representing an objective function,/>The mean square error loss function is a common least square method and represents the square difference between an actual value and a model predicted value; /(I)Is a regularization parameter that controls the strength of the L2 regularization term,Is typically a non-negative real number. When/>When the ridge regression is degraded into a normal linear regression. With/>The influence of the regularization term in the objective function will increase with increasing coefficients of the model towards zero, thereby reducing the risk of overfitting,/>Is the i-th coefficient of the model,/>Representing the total number of coefficients.
Specifically, the regularization parameters of the ridge regressionFor controlling the degree of shrinkage of the coefficients, appropriate regularization parameters are selected by cross-validation and the like.
In the embodiment, the ridge regression has certain robustness to noise in data, is beneficial to improving the stability of a model, can reduce the oversensitivity to extreme values, effectively solves the problem of multiple collinearity by introducing an L2 regularization term, and improves the stability and generalization capability of the model.
S45, evaluating the fitting performance of the regression model by using the second test set, and determining the fitting goodness of the regression modelWhen the preset value is reached, outputting parameters corresponding to the second dimensionless slippage, and the results are shown in table 4:
s46, constructing a limit bearing capacity-limit slippage calculation model by using parameters corresponding to the second dimensionless slippage:
（14）；
Based on the above embodiment, the method further includes:
S5, acquiring component parameters of the perforated plate connecting piece, and substituting the component parameters into a limit slip quantity-correlation parameter calculation model and a limit bearing capacity-limit slip quantity calculation model in sequence to calculate to obtain the limit bearing capacity;
Specifically, the step S5 includes:
s51, substituting the component parameters into limit slippage-correlation parameters, and calculating to obtain a first dimensionless slippage ；
S52, carrying out reverse calculation on the first dimensionless slippage to obtain a limit slippage；
S53, carrying out dimensionless treatment on the limit slippage to obtain a second dimensionless slippage；
S54, substituting the second dimensionless slippage into a limit bearing capacity-limit slippage calculation model, and calculating to obtain dimensionless bearing capacity；
S55, carrying out reverse calculation on the dimensionless bearing capacity to obtain the ultimate bearing capacity。
Example 2:
as shown in fig. 3, the present embodiment provides a ultimate bearing capacity calculating apparatus of an apertured plate connector, the apparatus comprising:
And a numerical test module: the method comprises the steps of establishing an opening plate connecting piece model in finite element software, and carrying out numerical test on the opening plate connecting piece model to obtain limit sliding quantity and limit bearing capacity corresponding to the opening plate connecting piece model under different component parameters;
Correlation analysis module: the method comprises the steps of performing correlation analysis on component parameters of an orifice plate connector model and limit slippage, and determining correlation parameters of the component parameters and the limit slippage;
A first regression analysis module: the method comprises the steps of performing lasso regression analysis on limit slippage and correlation parameters thereof to obtain a limit slippage-correlation parameter calculation model;
a second regression analysis module: the method comprises the steps of performing ridge regression analysis on the ultimate slip and ultimate bearing capacity to obtain an ultimate bearing capacity-ultimate slip amount calculation model;
The calculation module: and the component parameters are sequentially substituted into the limit slip quantity-correlation parameter calculation model and the limit bearing capacity-limit slip quantity calculation model to calculate and obtain the limit bearing capacity.
Based on the above embodiments, the numerical test module includes:
Model building unit: the method is used for establishing an open pore plate connecting piece model in finite element software, wherein the open pore plate connecting piece model is composed of a penetrating steel bar 3, concrete 1 and an open pore steel plate 2, and the concrete 1 comprises a concrete tenon;
Test unit: the numerical test method comprises the steps of setting different component parameters for the penetrating steel bar 3 and the concrete tenon, and carrying out numerical test on the perforated plate connecting piece model based on the different component parameters to obtain limit sliding quantity and limit bearing capacity corresponding to the perforated plate connecting piece model under the different component parameters;
pretreatment unit: the method is used for preprocessing a plurality of group of component parameters, limit slippage and limit bearing capacity in sequence to remove abnormal values.
Based on the above embodiments, the correlation analysis module includes:
correlation analysis unit: the method comprises the steps of carrying out Szelman correlation analysis on component parameters and limit slippage of an orifice plate connector model to obtain correlation coefficients of the component parameters and the limit slippage;
A determination unit: the method comprises the steps of determining correlation parameters of the limit slippage based on the correlation coefficients, wherein the correlation parameters comprise the diameter and the limit compressive strain of a concrete tenon, the diameter and the limit strain of a penetrating steel bar 3;
a first processing unit: the method is used for sequentially carrying out dimensionless treatment on the limit slippage, the diameter of the concrete tenon and the diameter of the penetrating steel bar 3 to obtain a first dimensionless slippage and a dimensionless diameter.
Based on the above embodiments, the first regression analysis module includes:
a first construction unit: the method comprises the steps of constructing a first data set by utilizing a plurality of groups of dimensionless diameters, the ultimate compressive strain of the concrete 1, the ultimate strain of the penetrating steel bar 3 and the corresponding first dimensionless slippage;
A first dividing unit: the method comprises the steps of dividing a first data set into a first training set and a first test set, wherein the dimensionless diameter, the ultimate compressive strain of concrete 1 and the ultimate strain of penetrating steel bars 3 are used as input labels, and the first dimensionless slippage is used as an output label;
a first fitting unit: the method comprises the steps of using the sum of a least square loss function and an L1 regularization term as an objective function, and fitting a regression model by using a first training set;
A first evaluation unit: the method comprises the steps of using a first test set to evaluate the fitting performance of a regression model, and outputting parameters corresponding to the dimensionless diameter, the ultimate compressive strain of the concrete 1 and the ultimate strain of the penetrating steel bar 3 when the fitting goodness of the regression model reaches a preset value;
a second construction unit: and the method is used for constructing a limit slippage-correlation parameter calculation model by using the output parameters.
Based on the above embodiments, the second regression analysis module includes:
a second processing unit: the method comprises the steps of performing dimensionless treatment on the limit slippage and the limit bearing capacity to obtain a second dimensionless slippage and a dimensionless bearing capacity;
a third construction unit: the method comprises the steps of constructing a second data set by utilizing a plurality of groups of second dimensionless slippage and dimensionless bearing capacity;
a second dividing unit: dividing the second data set into a second training set and a second testing set, wherein a second dimensionless slippage is used as an input label, and a dimensionless bearing capacity is used as an output label;
A second fitting unit: the method comprises the steps of using the sum of a least square loss function and an L2 regularization term as an objective function, and fitting a regression model by using a second training set;
a second evaluation unit: the method comprises the steps of using a second test set to evaluate the fitting performance of a regression model, and outputting parameters corresponding to a second dimensionless slippage when the fitting goodness of the regression model reaches a preset value;
fourth construction unit: and the method is used for constructing a limit bearing capacity-limit slippage calculation model by utilizing parameters corresponding to the second dimensionless slippage.
Based on the above embodiments, the calculation module includes:
a first calculation unit: the component parameters are substituted into the limit slippage-correlation parameters, and a first dimensionless slippage is obtained through calculation;
A second calculation unit: the method comprises the steps of performing reverse calculation on the first dimensionless slippage to obtain limit slippage;
a third calculation unit: the method comprises the steps of performing dimensionless treatment on the limit slippage to obtain a second dimensionless slippage;
a fourth calculation unit: substituting the second dimensionless slippage into a limit bearing capacity-limit slippage calculation model, and calculating to obtain dimensionless bearing capacity;
A fifth calculation unit: and the method is used for carrying out reverse calculation on the dimensionless bearing capacity to obtain the ultimate bearing capacity.
It should be noted that, regarding the apparatus in the above embodiments, the specific manner in which the respective modules perform the operations has been described in detail in the embodiments regarding the method, and will not be described in detail herein.
Example 3:
Corresponding to the above method embodiment, there is further provided an ultimate bearing capacity calculating device for an apertured plate connector in this embodiment, and the ultimate bearing capacity calculating device for an apertured plate connector described below and the ultimate bearing capacity calculating method for an apertured plate connector described above may be referred to correspondingly.
Fig. 4 is a block diagram illustrating an ultimate bearing capacity computing device 800 of an apertured plate connection, according to an exemplary embodiment. As shown in fig. 4, the threshold load capacity computing device 800 of the perforated plate link may include: a processor 801, a memory 802. The threshold load capacity computing device 800 of the aperture plate connector may also include one or more of a multimedia component 803, an I/O interface 804, and a communication component 805.
The processor 801 is configured to control the overall operation of the ultimate bearing capacity computing device 800 of the apertured plate connector, so as to complete all or part of the steps in the ultimate bearing capacity computing method of the apertured plate connector. The memory 802 is used to store various types of data to support the operation of the ultimate capacity computing device 800 at the aperture plate connector, such data may include, for example, instructions for any application or method operating on the ultimate capacity computing device 800 at the aperture plate connector, as well as application related data such as contact data, messages, pictures, audio, video, and the like. The Memory 802 may be implemented by any type or combination of volatile or non-volatile Memory devices, such as static random access Memory (Static Random Access Memory, SRAM for short), electrically erasable programmable Read-Only Memory (ELECTRICALLY ERASABLE PROGRAMMABLE READ-Only Memory, EEPROM for short), erasable programmable Read-Only Memory (Erasable Programmable Read-Only Memory, EPROM for short), programmable Read-Only Memory (Programmable Read-Only Memory, PROM for short), read-Only Memory (ROM for short), magnetic Memory, flash Memory, magnetic disk, or optical disk. The multimedia component 803 may include a screen and an audio component. Wherein the screen may be, for example, a touch screen, the audio component being for outputting and/or inputting audio signals. For example, the audio component may include a microphone for receiving external audio signals. The received audio signals may be further stored in the memory 802 or transmitted through the communication component 805. The audio assembly further comprises at least one speaker for outputting audio signals. The I/O interface 804 provides an interface between the processor 801 and other interface modules, which may be a keyboard, mouse, buttons, etc. These buttons may be virtual buttons or physical buttons. The communication component 805 is used for wired or wireless communication between the ultimate capacity computing device 800 of the aperture plate connector and other devices. Wireless communication, such as Wi-Fi, bluetooth, near field communication (Near FieldCommunication, NFC for short), 2G, 3G, or 4G, or a combination of one or more thereof, the corresponding communication component 805 may therefore include: wi-Fi module, bluetooth module, NFC module.
In an exemplary embodiment, the threshold load capacity computing device 800 of the aperture plate coupling may be implemented by one or more Application Specific Integrated Circuits (ASIC), digital signal processors (DIGITALSIGNAL PROCESSOR DSP), digital signal processing devices (DIGITAL SIGNAL Processing Device DSPD), programmable logic devices (Programmable Logic Device PLD), field programmable gate arrays (Field Programmable GATE ARRAY FPGA), controllers, microcontrollers, microprocessors, or other electronic components for performing the threshold load capacity computing methods of the aperture plate coupling described above.
In another exemplary embodiment, a computer readable storage medium is also provided, comprising program instructions which, when executed by a processor, implement the steps of the ultimate bearing capacity calculation method of an apertured plate connection as described above. For example, the computer readable storage medium may be the memory 802 described above including program instructions executable by the processor 801 of the threshold load capacity calculation device 800 of the aperture plate coupling to perform the threshold load capacity calculation method of the aperture plate coupling described above.
Example 4:
Corresponding to the above method embodiment, a readable storage medium is also provided in this embodiment, and a readable storage medium described below and a method for calculating the ultimate bearing capacity of an open-pore plate connector described above may be referred to correspondingly with each other.
A readable storage medium having stored thereon a computer program which when executed by a processor performs the steps of the method for calculating the ultimate bearing capacity of an apertured plate connection according to the above method embodiments.
The readable storage medium may be a usb disk, a removable hard disk, a Read-Only Memory (ROM), a random access Memory (Random Access Memory, RAM), a magnetic disk, or an optical disk, which may store various program codes.
The above description is only of the preferred embodiments of the present invention and is not intended to limit the present invention, but various modifications and variations can be made to the present invention by those skilled in the art. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present invention should be included in the protection scope of the present invention.
The foregoing is merely illustrative of the present invention, and the present invention is not limited thereto, and any person skilled in the art will readily recognize that variations or substitutions are within the scope of the present invention. Therefore, the protection scope of the invention is subject to the protection scope of the claims.
Claims (6)
1. A method of calculating the ultimate bearing capacity of an apertured plate connector, comprising:
establishing an aperture plate connecting piece model in finite element software, and carrying out a numerical test on the aperture plate connecting piece model to obtain the ultimate slip and ultimate bearing capacity corresponding to the aperture plate connecting piece model under different component parameters;
Carrying out correlation analysis on component parameters of the orifice plate connector model and the limit slippage, and determining the correlation parameters of the component parameters and the limit slippage, wherein the correlation parameters comprise:
Carrying out Szelman correlation analysis on component parameters and limit slippage of the orifice plate connector model to obtain a correlation coefficient of the component parameters and the limit slippage;
Determining a correlation parameter with the limit slippage based on the correlation coefficient, wherein the correlation parameter comprises the diameter of a concrete tenon, the limit compressive strain of concrete, the diameter of a penetrating steel bar and the limit strain;
carrying out dimensionless treatment on the limit slippage, the diameter of the concrete tenon and the diameter of the penetrating steel bar in sequence to obtain a first dimensionless slippage and a dimensionless diameter;
Carrying out lasso regression analysis on the limit slippage and the correlation parameters thereof to obtain a limit slippage-correlation parameter calculation model, wherein the calculation model comprises the following steps:
constructing a first data set by utilizing a plurality of groups of dimensionless diameters, the ultimate compressive strain of concrete, the ultimate strain of penetrating steel bars and the corresponding first dimensionless slippage;
Dividing a first data set into a first training set and a first test set, wherein the dimensionless diameter, the ultimate compressive strain of concrete and the ultimate strain of penetrating steel bars are used as input labels, and the first dimensionless slippage is used as an output label;
Using the sum of the least square loss function and the L1 regularization term as an objective function, and fitting a regression model by using a first training set;
Evaluating the fitting performance of the regression model by using the first test set, and outputting parameters corresponding to the dimensionless diameter, the ultimate compressive strain of the concrete and the ultimate strain of the penetrating reinforcing steel bar when the fitting goodness of the regression model reaches a preset value;
Constructing a limit slippage-correlation parameter calculation model by using the output parameters;
carrying out ridge regression analysis on the ultimate slip and ultimate bearing capacity to obtain an ultimate bearing capacity-ultimate slip amount calculation model;
And acquiring component parameters of the perforated plate connecting piece, and substituting the component parameters into a limit slip quantity-correlation parameter calculation model and a limit bearing capacity-limit slip quantity calculation model in sequence to calculate and obtain the limit bearing capacity.
2. The method for calculating the ultimate bearing capacity of an apertured plate connector according to claim 1, wherein establishing an apertured plate connector model in finite element software, performing a numerical test on the apertured plate connector model, and obtaining ultimate slip and ultimate bearing capacity corresponding to the apertured plate connector model under different component parameters, comprises:
Establishing an open pore plate connecting piece model in finite element software, wherein the open pore plate connecting piece model consists of a penetrating steel bar, concrete and an open pore steel plate, and the concrete comprises a concrete tenon;
Setting different component parameters for penetrating through the reinforced steel bars and the concrete tenons, and carrying out numerical tests on the perforated plate connecting piece model based on the different component parameters to obtain limit slippage and limit bearing capacity corresponding to the perforated plate connecting piece model under the different component parameters;
And sequentially preprocessing a plurality of group of component parameters, limit slippage and limit bearing capacity to remove abnormal values.
3. An ultimate bearing capacity calculating device of an apertured plate connector, comprising:
And a numerical test module: the method comprises the steps of establishing an opening plate connecting piece model in finite element software, and carrying out numerical test on the opening plate connecting piece model to obtain limit sliding quantity and limit bearing capacity corresponding to the opening plate connecting piece model under different component parameters;
Correlation analysis module: the method for carrying out correlation analysis on component parameters of the orifice plate connector model and the limit slippage, determining the correlation parameters with the limit slippage comprises the following steps:
correlation analysis unit: the method comprises the steps of carrying out Szelman correlation analysis on component parameters and limit slippage of an orifice plate connector model to obtain correlation coefficients of the component parameters and the limit slippage;
a determination unit: the correlation parameters are used for determining the correlation parameters with the limit slippage based on the correlation coefficients, and the correlation parameters comprise the diameter and the limit compressive strain of the concrete tenons, the diameter and the limit strain of the penetrating steel bars;
A first processing unit: the method comprises the steps of performing dimensionless treatment on a limit slippage, the diameter of a concrete tenon and the diameter of a penetrating steel bar in sequence to obtain a first dimensionless slippage and a dimensionless diameter;
A first regression analysis module: the method is used for carrying out lasso regression analysis on the limit slippage and the correlation parameters thereof to obtain a limit slippage-correlation parameter calculation model, and comprises the following steps:
a first construction unit: the method comprises the steps of constructing a first data set by utilizing a plurality of groups of dimensionless diameters, ultimate compressive strain of concrete, ultimate strain of penetrating steel bars and corresponding first dimensionless slippage;
A first dividing unit: the method comprises the steps of dividing a first data set into a first training set and a first test set, wherein the dimensionless diameter, the ultimate compressive strain of concrete and the ultimate strain of penetrating steel bars are used as input labels, and the first dimensionless slippage is used as an output label;
a first fitting unit: the method comprises the steps of using the sum of a least square loss function and an L1 regularization term as an objective function, and fitting a regression model by using a first training set;
A first evaluation unit: the method comprises the steps of using a first test set to evaluate the fitting performance of a regression model, and outputting parameters corresponding to the dimensionless diameter, the ultimate compressive strain of concrete and the ultimate strain of a penetrating steel bar when the fitting goodness of the regression model reaches a preset value;
a second construction unit: the method comprises the steps of constructing a limit slippage-correlation parameter calculation model by using output parameters;
a second regression analysis module: the method comprises the steps of performing ridge regression analysis on the ultimate slip and ultimate bearing capacity to obtain an ultimate bearing capacity-ultimate slip amount calculation model;
The calculation module: and the component parameters are sequentially substituted into the limit slip quantity-correlation parameter calculation model and the limit bearing capacity-limit slip quantity calculation model to calculate and obtain the limit bearing capacity.
4. A device for calculating ultimate bearing capacity of an apertured plate connection according to claim 3, wherein said numerical testing module comprises:
model building unit: the method is used for establishing an open pore plate connecting piece model in finite element software, wherein the open pore plate connecting piece model is composed of a penetrating steel bar, concrete and an open pore steel plate, and the concrete comprises a concrete tenon;
Test unit: the numerical test method comprises the steps of setting different component parameters for penetrating through reinforced steel bars and concrete tenons, and carrying out numerical tests on the perforated plate connecting piece model based on the different component parameters to obtain limit slippage and limit bearing capacity corresponding to the perforated plate connecting piece model under the different component parameters;
pretreatment unit: the method is used for preprocessing a plurality of group of component parameters, limit slippage and limit bearing capacity in sequence to remove abnormal values.
5. An ultimate bearing capacity computing device for an apertured plate connection, comprising:
a memory for storing a computer program;
A processor for carrying out the steps of the method for calculating the ultimate bearing capacity of an apertured plate connection as claimed in any one of claims 1 to 2 when executing said computer program.
6. A readable storage medium, characterized by: the readable storage medium has stored thereon a computer program which, when executed by a processor, carries out the steps of the method for calculating the ultimate bearing capacity of an apertured plate connection according to any one of claims 1 to 2.
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