Modeling Method for Prefabricated Concrete Structures Based on the Randomness of Grouting Sleeve Connections

Abstract

The present invention discloses a modeling method for precast concrete structures based on the randomness of grouting sleeve connections, which comprises the following steps: establishing a model of an assembled integral shear wall structure in structural design software and exporting an input file required for finite element analysis; establishing a grouting sleeve model in the model of the assembled integral shear wall structure, setting the sleeve units and steel bar units in the same grouting sleeve model as the same unit set in the input file, and establishing the corresponding relationship between the positions of the sleeve units and the unit sets to which the sleeve units belong; establishing a two-dimensional normal distribution surface with yield strength and elastic modulus as basic variables, and randomly selecting parameters for the vertical connection performance of the steel bar units in each sleeve unit on the two-dimensional normal distribution surface. The present invention can generate a finite element model of a precast concrete structure that can reflect the random weakening of the vertical connection performance of grouting sleeves.

Description

Technical Field

[0001] The present invention relates to the technical field of construction engineering, and in particular to a finite element modeling method for an assembled concrete structure based on the randomness of grouting sleeve connections. Background Art

[0002] Grouting sleeve connections are the mainstream method for vertical connections in prefabricated concrete structures. In engineering practice, due to the randomness of sleeve and grouting material and human factors during construction, these vertical connections may have a certain degree of defects. The extent and distribution of these defects are somewhat random. Addressing these defects is a key task in structural analysis and safety assessment.

[0003] Numerous studies have been conducted on nonlinear finite element analysis of cast-in-place reinforced concrete shear wall components and overall structures. However, nonlinear finite element analysis of prefabricated reinforced concrete shear wall structures is relatively rare. This is primarily due to the complexity of modeling such structures, the unclear mechanisms and influencing factors of bond slip within the sleeve, and the difficulty in establishing a finite element model for prefabricated concrete structures that effectively reflects the random weakening of the vertical connection performance of the grouting sleeve due to grouting defects. Summary of the Invention

[0004] In response to the above technical problems, the present invention provides a modeling method for prefabricated concrete structures based on the randomness of grouting sleeve connections, so as to generate a finite element model of the prefabricated concrete structure that can reflect the random weakening of the vertical connection performance of the grouting sleeves.

[0005] To achieve the above object, the present invention provides the following technical solutions:

[0006] A method for modeling an assembled concrete structure based on the randomness of grouting sleeve connections comprises the following steps:

[0007] Establish an assembled integral shear wall structure model in the structural design software and export the input files required for finite element analysis;

[0008] Establishing a grouting sleeve model in the assembled integral shear wall structure model, setting the sleeve units and steel bar units in the same grouting sleeve model as the same unit set in the input file, and establishing a correspondence between the position of each sleeve unit and the unit set to which the sleeve unit belongs;

[0009] A two-dimensional normal distribution surface with yield strength and elastic modulus as basic variables is established, and random parameters are selected on the two-dimensional normal distribution surface for the vertical connection performance of the steel bar unit in each sleeve unit.

[0010] Divide the vertical connection performance of the steel bar units in each sleeve unit according to the spatial position on the two-dimensional normal distribution surface corresponding to the selected parameters, and use the central point parameters of each grid to characterize the vertical connection type of the steel bar units in this grid;

[0011] Randomly configure a vertical connection type for the steel bar units in each sleeve unit, and establish the correspondence between each unit set and a vertical connection type in the input file;

[0012] Import the input file that has established the correspondence between the position of the sleeve unit, the unit set, and the vertical connection type into the finite element analysis software to generate a finite element model of the precast concrete structure that can reflect the random weakening of the vertical connection performance of the grouting sleeve.

[0013] In an embodiment of the present invention, the establishment of the correspondence between the position of each sleeve unit and the unit set to which the sleeve unit belongs includes:

[0014] Generate the position numbers of each sleeve unit;

[0015] Generate sleeve unit numbers that correspond one-to-one with the position numbers;

[0016] Generate unit set numbers that correspond one-to-one with the sleeve unit numbers.

[0017] In an embodiment of the present invention, the establishment of the correspondence between each unit set and a vertical connection type in the input file includes:

[0018] Establish the correspondence between the position number of each sleeve unit and a vertical connection type;

[0019] According to the corresponding relationship between the position numbers of each sleeve unit and the sleeve unit numbers, establish the correspondence between each sleeve unit and a vertical connection type;

[0020] According to the corresponding relationship between the sleeve unit numbers and the unit set numbers, establish the correspondence between each unit set and a vertical connection type.

[0021] In an embodiment of the present invention, modify the input file through the Python programming language to establish the correspondence between the position of the sleeve unit, the unit set, and the vertical connection type.

[0022] In an embodiment of the present invention, randomly select parameters for the vertical connection performance of the steel bar units in each sleeve unit on the two-dimensional normal distribution surface by the method of numerical integration point selection.

[0023] In the present invention, the vertical connection performance of the steel bars within the sleeve is used as the basic variables of yield strength and elastic modulus, and random parameter equivalence is performed on the two-dimensional normal distribution surface to reflect the randomness of the vertical connection performance at the steel bars within the sleeve during actual construction. Thus, a finite element model of the precast concrete structure that can reflect the random weakening of the vertical connection performance of the grouting sleeve can be generated. BRIEF DESCRIPTION OF THE DRAWINGS

[0024] The drawings herein are incorporated into and constitute a part of this specification, showing embodiments consistent with the present invention, and are used together with the specification to explain the principles of the present invention. Obviously, the drawings in the following description are only some embodiments of the present invention, and those of ordinary skill in the art can obtain other drawings based on these drawings without creative efforts.

[0025] Figure 1 is a flowchart of a method for modeling a precast concrete structure based on the randomness of grouting sleeve connections in an embodiment of the present invention;

[0026] Figure 2 is a partial flowchart of a method for modeling a precast concrete structure based on the randomness of grouting sleeve connections in an embodiment of the present invention; and

[0027] Figure 3 is a partial flowchart of a method for modeling a precast concrete structure based on the randomness of grouting sleeve connections in another embodiment of the present invention. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0028] Example embodiments will now be described more fully with reference to the accompanying drawings. However, the example embodiments can be implemented in various forms and should not be construed as limited to the embodiments set forth herein. On the contrary, these embodiments are provided so that this invention will be thorough and complete, and will fully convey the concept of the example embodiments to those skilled in the art. Identical reference numerals in the figures denote identical or similar structures, and thus their repetitive description will be omitted. It should be noted that the terms "center", "upper", "lower", "left", "right", "vertical", "horizontal", "inner", "outer", etc. indicate the orientation or positional relationship based on the orientation or positional relationship shown in the drawings, and are only for convenience of describing the present invention and simplifying the description, rather than indicating or implying that the device or element referred to must have a specific orientation, be constructed and operated in a specific orientation, and thus should not be construed as limiting the present invention.

[0029] Figure 1 is a flowchart of a method for modeling a precast concrete structure based on grouting sleeve connections in an embodiment of the present invention. As Figure 1 shown, this embodiment discloses a method for modeling a precast concrete structure based on grouting sleeve connections, which includes the following steps:

[0030] S100. Establish an assembled integral shear wall structure model in the structural design software and export the input file required for finite element analysis. In this step, it is necessary to convert the engineering design model into a refined analysis model.

[0031] Specifically, according to the actual engineering drawings, establish an assembled integral shear wall structure model in the structural design software, and use the interface between the design software and the finite element analysis software to export the input file required for finite element analysis.

[0032] S200. Establish a grouting sleeve model in the assembled integral shear wall structure model, set the sleeve units and steel bar units in the same grouting sleeve model as the same unit set in the input file, and establish the corresponding relationship between the position of each sleeve unit and the unit set to which the sleeve unit belongs. In this step, it is necessary to process the connecting sleeves in the refined analysis model.

[0033] Specifically, determine the position of the sleeve in the finite element model and form a positioning number. Use the beam unit to establish the sleeve model at this position and work together with the overall model in a co - node manner.

[0034] S300. Establish a two - dimensional normal distribution surface with the yield strength and elastic modulus as the basic variables, and randomly select the vertical connection performance parameters of the steel bar units in each sleeve unit on this two - dimensional normal distribution surface.

[0035] Specifically, the random parameter selection of the vertical connection performance of the steel bar units in each sleeve unit on the two - dimensional normal distribution surface can be carried out by the number - theoretic point - selection method.

[0036] S400. Uniformly divide the vertical connection performance of the steel bar units in each sleeve unit according to the spatial position on the two - dimensional normal distribution surface of the selected parameters, and use the center point parameters of each grid to characterize the vertical connection type of the steel bar units in this grid.

[0037] Among them, using the representative value of the center point parameters in the grid to reflect the attributes of the vertical connection units in this grid range can simplify the number of vertical connection types in the model and improve the operation efficiency of the model.

[0038] S500. Randomly configure a vertical connection type for the steel bar units in each sleeve unit, and establish the corresponding relationship between each unit set and a vertical connection type in the input file.

[0039] S600. Import the input file with the corresponding relationships between the positions of the sleeve units and the unit sets and between the unit sets and the vertical connection types into the finite element analysis software to generate a finite element model of the precast concrete structure that can reflect the random weakening of the vertical connection performance of the grouting sleeves.

[0040] Specifically, the present invention can modify the input file through the Python programming language to establish the correspondence between the positions of the sleeve units, the unit sets, and the vertical connection types.

[0041] In summary, the present invention reflects the randomness of the vertical connection performance at the steel bars in the sleeve during actual construction by randomly parameter-equivalenting the vertical connection performance of the steel bars in the sleeve with the yield strength and elastic modulus as the basic variables on the two-dimensional normal distribution surface. Thus, a finite element model of the precast concrete structure that can reflect the random weakening of the vertical connection performance of the grouting sleeve can be generated.

[0042] Figure 2 It is a partial flowchart of the method for modeling a precast concrete structure based on the randomness of grouting sleeve connections in an embodiment of the present invention. As Figure 2 shown, the establishment of the correspondence between the positions of each sleeve unit and the unit set to which the sleeve unit belongs may include the following steps:

[0043] S210, Generate the position numbers of each sleeve unit.

[0044] S220, Generate the sleeve unit numbers corresponding one-to-one to each position number.

[0045] S230, Generate the unit set numbers corresponding one-to-one to each sleeve unit number.

[0046] Figure 3 It is a partial flowchart of the method for modeling a precast concrete structure based on the randomness of grouting sleeve connections in another embodiment of the present invention. As Figure 3 shown, the establishment of the correspondence between each unit set and a vertical connection type in the input file may include:

[0047] S510, Establish the correspondence between the position number of each sleeve unit and a vertical connection type.

[0048] S520, According to the corresponding relationship between the position numbers of each sleeve unit and the sleeve unit numbers, establish the correspondence between each sleeve unit and a vertical connection type.

[0049] S530, According to the corresponding relationship between the sleeve unit numbers and the unit set numbers, establish the correspondence between each unit set and a vertical connection type.

[0050] The present invention provides a finite element modeling method for considering the random weakening of the vertical connection performance of steel bars in a sleeve due to grouting defects in precast concrete structures. By randomly parameterizing the vertical connection performance of steel bars in the sleeve with yield strength and elastic modulus as basic variables on a two-dimensional normal distribution surface, the randomness of the vertical connection performance of steel bars in the sleeve during actual construction is reflected. The batch modeling of vertical connection defects in the finite element model is realized through the Python language.

[0051] The present invention relates to a finite element modeling method for precast concrete structures considering the randomness of sleeve grouting in precast concrete structures. By combining finite element software with the Python language, the randomness of sleeve grouting in the finite element model of precast concrete structures can be batch processed by selecting random parameters of material properties, which to a certain extent reflects the influence of the vertical connection performance on the structural integrity in assembled monolithic concrete structures. The technical means of this method are standardized, the implementation process is simple and clear, and its random function implementation is universal and can be extended to other finite element models. Its accuracy is not affected by the number of random parameters, the type of elements, and the number of elements, making the finite element analysis model closer to the actual engineering situation. The specific technical details are as follows:

[0052] First, according to the actual engineering drawings, establish an overall model in the design software, and then export the input file using the finite element analysis interface in the design software. To reflect the characteristics of the assembled monolithic shear wall structure, locate the sleeves in the steel bars in the finite element model, add sleeve elements at these positions, and set the elements at the sleeve positions to the same element set. Use the Python language to batch process the vertical connection sleeves to reflect the randomness of the vertical connection performance.

[0053] Considering that the randomness of grouting affects the vertical connection performance of the structure, this method first generates a two-dimensional normal distribution surface of yield strength and elastic modulus, and randomly selects parameters within this two-dimensional parameter surface to consider the randomness of the degree of grouting defects. Subsequently, according to the spatial position of the connection performance within the yield strength and elastic modulus, the vertical connection type is divided into grid cells, and the representative value of the parameters at the center point within the grid cell is used to reflect the attributes of the vertical connection unit within the range of this grid cell, thus simplifying the number of vertical connection types in the model and accelerating the operation efficiency of the model. Subsequently, each vertical connection type is randomly placed on each sleeve unit, thereby realizing the randomness of the spatial distribution of grouting defects and forming the corresponding relationship between the vertical connection type and the position of the sleeve unit. Then, the position where the sleeve unit is located is corresponding to the sleeve unit number, and finally, the sleeve unit number is corresponding to the unit node number. Thus, a closed analysis file of vertical connection performance, sleeve unit position, sleeve unit number, and unit node number is formed, and the randomness of the grouting fullness degree and the possible defect distribution position is realized in the finite element model.

[0054] The present invention can realize the modeling of a refined finite element analysis model considering the randomness of grouting sleeve connection, which is not only applicable to the structural analysis of the random distribution of vertical connection defects in precast concrete structures, but also applicable to the structural analysis considering the random distribution of other structural defects, and has important reference significance for the structural analysis method considering the random distribution of structural degradation from the structural system.

[0055] The above are only the preferred embodiments of the present invention and are not used to limit the present invention. Although the present invention has been described in detail with reference to the foregoing embodiments, those skilled in the art can still modify the technical solutions recorded in the foregoing embodiments, or perform equivalent replacements for some of the technical features. Any modifications, equivalent replacements, improvements, etc. made within the spirit and principle of the present invention shall be included within the protection scope of the present invention.

Claims

1. A modeling method for precast concrete structures based on the randomness of grouting sleeve connections, characterized in that Including: Establish an assembled integral shear wall structure model in structural design software and export the input file required for finite element analysis; Establish a grouting sleeve model in the assembled integral shear wall structure model, set the sleeve elements and steel bar elements in the same grouting sleeve model as the same element set in the input file, and establish the corresponding relationship between the position of each sleeve element and the element set to which the sleeve element belongs; Establish a two-dimensional normal distribution surface with yield strength and elastic modulus as basic variables, and randomly select the vertical connection performance parameters of the steel bar elements in each sleeve element on the two-dimensional normal distribution surface; Divide the vertical connection performance of the steel bar elements in each sleeve element according to the spatial position on the two-dimensional normal distribution surface, and use the center point parameters of each grid to represent the vertical connection type of the steel bar elements in this grid; Randomly configure a vertical connection type for the steel bar elements in each sleeve element, and establish the corresponding relationship between each element set and a vertical connection type in the input file; Import the input file with the corresponding relationships between the positions of the sleeve elements and the element sets and between the element sets and the vertical connection types into the finite element analysis software to generate a finite element model of the precast concrete structure that can reflect the random weakening of the vertical connection performance of the grouting sleeves.

2. The prefabricated concrete structure modeling method according to claim 1, characterized in that The establishment of the corresponding relationship between the position of each sleeve element and the element set to which the sleeve element belongs includes: Generate the position numbers of each sleeve element; Generate sleeve element numbers corresponding one by one to the position numbers; Generate element set numbers corresponding one by one to the sleeve element numbers.

3. The prefabricated concrete structure modeling method according to claim 2, characterized in that The establishment of the corresponding relationship between each element set and a vertical connection type in the input file includes: Establish the corresponding relationship between the position number of each sleeve element and a vertical connection type; According to the corresponding relationship between the position numbers of each sleeve element and the sleeve element numbers, establish the corresponding relationship between each sleeve element and a vertical connection type; According to the corresponding relationship between the sleeve element numbers and the element set numbers, establish the corresponding relationship between each element set and a vertical connection type.

4. The prefabricated concrete structure modeling method according to claim 1, characterized in that Modify the input file through the Python programming language to establish the corresponding relationships between the position of the sleeve element and the element set and between the element set and the vertical connection type.

5. The prefabricated concrete structure modeling method according to claim 1, characterized in that Randomly select the vertical connection performance parameters of the steel bar elements in each sleeve element on the two-dimensional normal distribution surface by the number-theoretic point selection method.

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