CN116090063A - Finite element modeling method of power transmission tower considering node slipping effect - Google Patents

Finite element modeling method of power transmission tower considering node slipping effect Download PDF

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CN116090063A
CN116090063A CN202310092739.9A CN202310092739A CN116090063A CN 116090063 A CN116090063 A CN 116090063A CN 202310092739 A CN202310092739 A CN 202310092739A CN 116090063 A CN116090063 A CN 116090063A
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node
bolt
power transmission
finite element
transmission tower
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李嘉祥
张超
程金鹏
宋赜如
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Northeastern University China
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Abstract

The invention provides a finite element modeling method of a power transmission tower considering a node slipping effect, and relates to the technical field of power transmission tower simulation. Firstly, generating bolt node test verification data of a power transmission tower, and then constructing a bolt node skeleton curve database; then constructing a power transmission tower space rigid frame finite element model, and building a joint stiffness unit considering bolt slippage at each rigid node; and finally, according to the constructed skeleton curve database, giving mechanical behavior parameters of the combined stiffness unit under dynamic load, and completing the establishment of the finite element model of the power transmission tower considering the node slip effect. According to the method, on the basis of the existing finite element model of the power transmission tower, the sliding characteristic of the node under the power load is considered, the cost of time, financial resources, manpower and material resources is reduced, and the result is reliable.

Description

Finite element modeling method of power transmission tower considering node slipping effect
Technical Field
The invention relates to the technical field of power transmission tower simulation, in particular to a power transmission tower finite element modeling method considering a node slipping effect.
Background
The transmission tower-line system is used as a physical carrier for electric power energy transmission, is an indispensable intermediate link in the process from power generation to power utilization, and has important influence on the stable development of society due to safe operation. With the development of computer technology, the numerical simulation technology is mature and has higher reliability, and the method is a third research method besides theory and test. Currently, the numerical models commonly used for power transmission towers are a space truss model, a space rigid frame model and a beam-truss hybrid model. The space truss model adopts a rod unit to carry out modeling analysis on the power transmission tower, simplifies all nodes into ideal hinge nodes, and only receives the action of axial force of all rods, so that bending moment and shearing force are ignored; the space rigid frame model is that beam units are adopted to simulate the power transmission tower, all nodes are assumed to be ideal rigid nodes, and at the moment, the rod piece can bear the combined action of axial force, bending moment and shearing force; the beam-truss hybrid model models a power transmission tower by adopting a beam unit and a rod unit together, and generally simplifies a region with larger rigidity such as a main material, a transverse diaphragm and the like into the beam unit, and simplifies a part with weaker connection such as an inclined material and the like into the rod unit. However, in practical situations, the bolted joints of the power transmission tower are in a semi-rigid connection state, and are not hinged or rigid, and the finite element models neglect the influence of joint slippage. Studies have shown that connection slippage at the nodes can affect the deformation behaviour of the transmission tower structure as well as the failure mode. Therefore, in the case of performing a fine stress analysis of the power transmission tower, it is necessary to consider the connection slip of the bolts.
The power transmission tower can suffer from loads such as strong wind and earthquake in the service process, the loads can cause vibration of the power transmission tower, threat is caused to normal operation of the power transmission tower, and even collapse of the power transmission tower can be caused when serious. It has been shown that the failure modes, ultimate load bearing capacity, and ultimate load bearing deformability of steel structure nodes under monotonic and cyclic loading are all different. In the vibration process of the power transmission tower, the node is subjected to the action of reciprocating load, the stress state (size and direction) of the node can be changed, and the mechanical characteristics of the node in the power process can not be well reflected according to a mechanical model obtained by static loading. Therefore, the hysteresis characteristic of the power transmission tower node under the power load is accurately obtained, and the establishment of the power transmission tower finite element model considering the node slippage becomes a focus problem of attention in the field of power transmission tower simulation.
Disclosure of Invention
Aiming at the defects of the prior art, the invention provides a finite element modeling method of a power transmission tower, which considers the node sliding effect, and the sliding characteristic of the node under the power load is considered on the basis of the existing finite element model of the power transmission tower.
In order to solve the technical problems, the invention adopts the following technical scheme: a power transmission tower finite element modeling method considering node slippage effect comprises the following steps:
generating bolt node test verification data of the power transmission tower;
constructing a bolt node skeleton curve database;
constructing a power transmission tower space rigid frame finite element model, and building a joint stiffness unit considering bolt slippage at each rigid node;
and according to the constructed skeleton curve database, giving mechanical behavior parameters of the combined stiffness unit under dynamic load, and completing the establishment of a finite element model of the power transmission tower considering the node slip effect.
Preferably, the specific method for generating the bolt node test verification data of the power transmission tower comprises the following steps:
collecting and counting geometric parameter information of typical bolt nodes of power transmission towers of different towers according to a design drawing, selecting part of nodes to manufacture a node test piece, performing a quasi-static test on the bolt node test piece, and extracting a hysteresis curve and a skeleton curve of the bolt node; the typical bolt node geometry information includes the number of bolts, the bolt grade, the bolt diameter, and the screw hole diameter.
Preferably, the load system adopts a load-displacement double-control load system in the pseudo static test, namely the low-cycle reciprocating load test, performed on the bolt node test piece.
Preferably, the concrete method for constructing the bolt node skeleton curve database comprises the following steps:
firstly, establishing a typical bolt node refined three-dimensional finite element model by adopting finite element software, and extracting a load-displacement hysteresis curve of the bolt node and a skeleton curve corresponding to the hysteresis curve;
then, learning and training the BP neural network by adopting bolt node geometric parameter information and skeleton curve data, wherein the bolt node geometric parameter information is used as an input layer variable of the BP neural network, and the skeleton curve data is used as an output layer variable;
and finally, predicting skeleton curves of different types of bolt nodes under power load by using the trained BP neural network to form a bolt node skeleton curve database.
Preferably, the refined three-dimensional finite element model of the typical bolt node is built by adopting entity units in finite element software; and comparing the load-displacement hysteresis curve extracted by the three-dimensional finite element model of the bolt node with the test result of the quasi-static test of the bolt node test piece, and verifying the accuracy of the refined three-dimensional finite element model of the bolt node.
Preferably, the power transmission tower space rigid frame finite element model is built by a beam unit, and the combined stiffness unit considering bolt sliding is built by the beam unit and a nonlinear spring unit;
the method for establishing the combined stiffness unit considering bolt slippage is to find each rigid node of the power transmission tower space rigid frame finite element model, create a new node with coincident geometric positions at each rigid node, and insert a nonlinear spring unit with zero length between the original node and the new node.
Preferably, the mechanical behavior parameters of the combined stiffness unit under the dynamic load are obtained through a constructed node skeleton curve database, and the specific method comprises the following steps: and extracting geometric parameter information of each bolt node according to the modeled transmission tower drawing, and then generating a corresponding bolt node skeleton curve in the constructed skeleton curve database.
The beneficial effects of adopting above-mentioned technical scheme to produce lie in: the power transmission tower finite element modeling method considering the node slip effect is suitable for power analysis, and the node slip characteristic is considered, so that the cost of time, financial resources, manpower and material resources is reduced, and the result is reliable;
(1) Compared with the traditional finite element modeling method of the power transmission tower, the method provided by the invention has the advantages that the reciprocating sliding characteristic of the node under the action of the dynamic load is considered, and the accuracy of the vibration response analysis result of the power transmission tower is greatly improved;
(2) The method is suitable for power analysis under various load conditions of the power transmission tower, for example: earthquake, strong wind, icing, etc.;
(3) The method is suitable for various power transmission tower types, and the mechanical behaviors of the bolt nodes under the power load can be obtained through a node skeleton curve database.
(4) The BP neural network is adopted to predict the skeleton curve under the action of the bolt node power, only few tests are needed, and compared with the traditional model test method, the time, financial, manpower and material resource cost is reduced; and the prediction results are verified by test comparison, so that the accuracy of the results is ensured.
Drawings
Fig. 1 is a flowchart of a finite element modeling method of a power transmission tower, which is provided by an embodiment of the invention and takes a node slipping effect into consideration;
FIG. 2 is a schematic diagram of a typical bolt node quasi-static test device provided by an embodiment of the invention;
FIG. 3 is a diagram of a typical three-dimensional finite element model of bolt node refinement provided by an embodiment of the present invention;
FIG. 4 is a graph showing the verification of the numerical results and the test results provided by the embodiment of the invention;
fig. 5 is a schematic diagram of a basic architecture of a BP neural network according to an embodiment of the present invention;
FIG. 6 is a graph showing the comparison and verification of the prediction result and the test result of the BP neural network according to the embodiment of the invention;
fig. 7 is a finite element model of a space rigid frame of a power transmission tower provided by an embodiment of the invention;
fig. 8 is a schematic diagram of creating a joint stiffness unit considering a bolt slippage effect according to an embodiment of the present invention, where (a) is a main-main connection node and (b) is a main-diagonal connection node.
1, a node at the joint of a BEAM unit BEAM 189; 2. a nonlinear spring unit; 3. new nodes with coincident geometric positions.
Detailed Description
The following describes in further detail the embodiments of the present invention with reference to the drawings and examples. The following examples are illustrative of the invention and are not intended to limit the scope of the invention.
In this embodiment, a method for modeling finite elements of a power transmission tower in consideration of a node slip effect, as shown in fig. 1, includes the following steps:
step 1: generating bolt node test verification data of the power transmission tower;
collecting and counting geometric parameter information of typical bolt nodes of power transmission towers of different towers according to a design drawing, selecting part of nodes to manufacture a node test piece, performing a quasi-static test on the bolt node test piece, and extracting a hysteresis curve and a skeleton curve of the bolt node; the typical bolt node geometry information includes the number of bolts, the bolt grade, the bolt diameter, and the screw hole diameter.
The load system is a load-displacement double-control load system, wherein the load system is a pseudo static test, namely a low-cycle reciprocating load test, performed on the bolt node test piece.
The embodiment collects geometric parameter information of typical bolt nodes according to a design drawing of the power transmission tower, wherein the geometric parameter information comprises the number of bolts, the grade of the bolts, the diameter of the bolts and the diameter of screw holes, for example, the parameters of the bolt nodes are 1 piece of 4.8 grade M16, and the diameter of the screw holes is 17.5mm;
the 500kNMTS servo hydraulic testing machine shown in figure 2 is used as a testing device, a node test piece is manufactured, and a quasi-static test, namely a low-cycle reciprocating load test, is carried out, and the loading system is load-displacement double-control loading.
Step 2: constructing a bolt node skeleton curve database;
firstly, establishing a typical bolt node refined three-dimensional finite element model by adopting finite element software, and extracting a load-displacement hysteresis curve of the bolt node and a skeleton curve corresponding to the hysteresis curve; then, learning and training the BP neural network by adopting bolt node geometric parameter information and skeleton curve data, wherein the bolt node geometric parameter information is used as an input layer variable of the BP neural network, and the skeleton curve data is used as an output layer variable;
finally, predicting skeleton curves of different types of bolt nodes under power load by using the trained BP neural network to form a bolt node skeleton curve database;
the method comprises the steps that a refined three-dimensional finite element model of a typical bolt node is established by adopting entity units in finite element software; and comparing the load-displacement hysteresis curve extracted by the three-dimensional finite element model of the bolt node with the test result of the pseudo static test carried out on the bolt node test piece, and verifying the accuracy of the refined three-dimensional finite element model of the bolt node.
Meanwhile, the accuracy of the prediction result of the trained BP neural network is verified by test data of a quasi-static test performed by the bolt node test piece.
In this embodiment, as shown in fig. 3, the established refined three-dimensional finite element model of a typical bolt node adopts large-scale commercial software ANSYS, a three-dimensional entity unit SOLID185, a contact unit adopts CONTA173 and target 170, and a bolt pre-tightening unit adopts pres 179. And comparing the node load-displacement hysteresis curve extracted by the finite element model with the test result of the pseudo-static test carried out on the bolt node test piece, wherein the result is shown in figure 4.
And then taking the number of bolts, the grade of the bolts, the diameter of the bolts and the diameter of screw holes as input layer variables, taking the data of the skeleton curve as output layer variables, and carrying out learning training on the BP neural network. The skeleton curve data of this embodiment is obtained by refining a three-dimensional finite element model, the training frequency is 30000 times, the error is 0.001, normalization and inverse normalization processing are performed on the data in the algorithm, and the basic architecture of the BP neural network is shown in fig. 5.
And finally, rapidly predicting skeleton curves of typical bolt nodes of the power transmission towers with different tower types by using a BP neural network, and constructing a skeleton curve database of the nodes under power load.
Meanwhile, the skeleton curve predicted by the BP neural network after training is compared with the test result of a quasi-static test performed by a bolt node test piece, which shows that the BP neural network can well predict the skeleton curve of the node under the power load, in the embodiment, the node parameter is 3M 12 bolts with the level of 4.8, the screw hole diameter is 16.5mm, and the comparison verification of the BP neural network prediction result and the test result is shown in fig. 6.
Step 3: and constructing a power transmission tower space rigid frame finite element model, constructing a joint stiffness unit considering bolt slippage at each rigid node (without considering slippage effect), and giving mechanical behavior parameters of the joint stiffness unit under dynamic load according to a constructed skeleton curve database to finish the construction of the power transmission tower finite element model considering node slippage effect.
The power transmission tower space rigid frame finite element model is built by adopting a beam unit, and the combined stiffness unit considering bolt slippage is built by adopting the beam unit and a nonlinear spring unit.
The method for establishing the combined stiffness unit considering bolt slippage is to find each rigid node of the power transmission tower space rigid frame finite element model, create a new node with coincident geometric positions at each rigid node, and insert a nonlinear spring unit with zero length between the original node and the new node;
the mechanical behavior parameters of the combined stiffness unit under the dynamic load are obtained through a constructed node skeleton curve database, and the specific method comprises the following steps: and extracting geometric parameter information of each bolt node according to the modeled transmission tower drawing, and then generating a corresponding bolt node skeleton curve in the constructed skeleton curve database.
In this embodiment, a large-scale commercial software ANSYS is adopted, material properties are established, physical properties of units are established, finite element grids are divided, and a BEAM unit BEAM189 is adopted to create a power transmission tower space rigid frame finite element model, and the power transmission tower space rigid frame model in this embodiment is shown in fig. 7.
The creation of the combined stiffness unit considering the bolt slippage effect is shown in fig. 8, a power transmission tower space rigid frame finite element model is taken as a basis, an APDL program of self-coding ANSYS is utilized to find a node 1 at the joint of a BEAM unit BEAM189, a new node 3 with coincident geometric positions is created at the node 1, then a nonlinear spring unit 2 is introduced to simulate the slippage behavior of bolts under power load, and the combined stiffness unit considering the bolt slippage is created at all nodes of the power transmission tower space rigid frame model. In this embodiment, the nonlinear spring unit employs COMBIN39.
In the example, extracting parameter information of each bolt node according to a modeled power transmission tower drawing; then, acquiring a node skeleton curve corresponding to the node parameters by inquiring a node skeleton curve database; and finally, giving mechanical behavior parameters of the combined stiffness unit under dynamic load through a real constant, and completing the establishment of a finite element model of the power transmission tower considering the node slip effect.
Finally, it should be noted that: the above embodiments are only for illustrating the technical solution of the present invention, and are not limiting; although the invention has been described in detail with reference to the foregoing embodiments, it will be understood by those of ordinary skill in the art that: the technical scheme described in the foregoing embodiments can be modified or some or all of the technical features thereof can be replaced with equivalents; such modifications and substitutions do not depart from the spirit of the corresponding technical solutions, which are defined by the scope of the appended claims.

Claims (7)

1. A power transmission tower finite element modeling method considering node slippage effect is characterized in that: the method comprises the following steps:
generating bolt node test verification data of the power transmission tower;
constructing a bolt node skeleton curve database;
constructing a power transmission tower space rigid frame finite element model, and building a joint stiffness unit considering bolt slippage at each rigid node;
and according to the constructed skeleton curve database, giving mechanical behavior parameters of the combined stiffness unit under dynamic load, and completing the establishment of a finite element model of the power transmission tower considering the node slip effect.
2. A method of finite element modeling of a power transmission tower taking into account node slippage effects as defined in claim 1, wherein: the concrete method for generating the bolt node test verification data of the power transmission tower comprises the following steps:
collecting and counting geometric parameter information of typical bolt nodes of power transmission towers of different towers according to a design drawing, selecting part of nodes to manufacture a node test piece, performing a quasi-static test on the bolt node test piece, and extracting a hysteresis curve and a skeleton curve of the bolt node; the typical bolt node geometry information includes the number of bolts, the bolt grade, the bolt diameter, and the screw hole diameter.
3. A method of finite element modeling of a power transmission tower taking into account node slippage effects as defined in claim 2, wherein: and the load system adopts a load-displacement double-control load system in the quasi-static test, namely the low-cycle reciprocating load test, performed on the bolt node test piece.
4. A method of finite element modeling of a power transmission tower taking into account node slippage effects as defined in claim 3, wherein: the concrete method for constructing the bolt node skeleton curve database comprises the following steps:
firstly, establishing a typical bolt node refined three-dimensional finite element model by adopting finite element software, and extracting a load-displacement hysteresis curve of the bolt node and a skeleton curve corresponding to the hysteresis curve;
then, learning and training the BP neural network by adopting bolt node geometric parameter information and skeleton curve data, wherein the bolt node geometric parameter information is used as an input layer variable of the BP neural network, and the skeleton curve data is used as an output layer variable;
and finally, predicting skeleton curves of different types of bolt nodes under power load by using the trained BP neural network to form a bolt node skeleton curve database.
5. The power transmission tower finite element modeling method considering the node slipping effect according to claim 4, wherein the method comprises the following steps: the refined three-dimensional finite element model of the typical bolt node is established by adopting entity units in finite element software; and comparing the load-displacement hysteresis curve extracted by the three-dimensional finite element model of the bolt node with the test result of the quasi-static test of the bolt node test piece, and verifying the accuracy of the refined three-dimensional finite element model of the bolt node.
6. The power transmission tower finite element modeling method considering node slipping effect according to claim 5, wherein the method comprises the following steps: the power transmission tower space rigid frame finite element model is established by adopting a beam unit, and the combined stiffness unit considering bolt slippage is established by adopting a beam unit and a nonlinear spring unit;
the method for establishing the combined stiffness unit considering bolt slippage is to find each rigid node of the power transmission tower space rigid frame finite element model, create a new node with coincident geometric positions at each rigid node, and insert a nonlinear spring unit with zero length between the original node and the new node.
7. The power transmission tower finite element modeling method considering node slipping effect according to claim 6, wherein the method comprises the following steps: the mechanical behavior parameters of the combined stiffness unit under the dynamic load are obtained through a constructed node skeleton curve database, and the specific method comprises the following steps: and extracting geometric parameter information of each bolt node according to the modeled transmission tower drawing, and then generating a corresponding bolt node skeleton curve in the constructed skeleton curve database.
CN202310092739.9A 2023-02-10 2023-02-10 Finite element modeling method of power transmission tower considering node slipping effect Pending CN116090063A (en)

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Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN117786914A (en) * 2024-02-27 2024-03-29 中国电力工程顾问集团西南电力设计院有限公司 Component hole reduction stress evaluation method for realizing digital intelligent power grid and cooperative operation system

Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN117786914A (en) * 2024-02-27 2024-03-29 中国电力工程顾问集团西南电力设计院有限公司 Component hole reduction stress evaluation method for realizing digital intelligent power grid and cooperative operation system
CN117786914B (en) * 2024-02-27 2024-05-03 中国电力工程顾问集团西南电力设计院有限公司 Component hole reduction stress evaluation method for realizing digital intelligent power grid and cooperative operation system

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