CN110390179B - Mathematical model construction method for steel structure correcting force - Google Patents

Mathematical model construction method for steel structure correcting force Download PDF

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CN110390179B
CN110390179B CN201910777062.6A CN201910777062A CN110390179B CN 110390179 B CN110390179 B CN 110390179B CN 201910777062 A CN201910777062 A CN 201910777062A CN 110390179 B CN110390179 B CN 110390179B
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steel structure
mathematical model
steel
internal stress
processing
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CN110390179A (en
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吴自浅
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Guangdong New Generation Industrial Internet Innovation Technology Co ltd
Huizhou New Generation Industrial Internet Innovation Research Institute
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Guangdong New Generation Industrial Internet Innovation Technology Co ltd
Huizhou New Generation Industrial Internet Innovation Research Institute
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    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F30/00Computer-aided design [CAD]
    • G06F30/10Geometric CAD
    • G06F30/13Architectural design, e.g. computer-aided architectural design [CAAD] related to design of buildings, bridges, landscapes, production plants or roads
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F30/00Computer-aided design [CAD]
    • G06F30/20Design optimisation, verification or simulation
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F2111/00Details relating to CAD techniques
    • G06F2111/10Numerical modelling
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F2119/00Details relating to the type or aim of the analysis or the optimisation
    • G06F2119/06Power analysis or power optimisation
    • YGENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02PCLIMATE CHANGE MITIGATION TECHNOLOGIES IN THE PRODUCTION OR PROCESSING OF GOODS
    • Y02P90/00Enabling technologies with a potential contribution to greenhouse gas [GHG] emissions mitigation
    • Y02P90/30Computing systems specially adapted for manufacturing

Abstract

The invention discloses a steel structure correcting force mathematical model construction method, which belongs to the field of steel structure correcting force mathematical model construction and comprises the steps of carrying out independent mathematical modeling on steel structure correction of field technicians, analyzing according to actual welding work of the field technicians at the current stage, adjusting and modifying the specific mathematical modeling of the technicians according to the manual habits and technical flaws of the workers, carrying out welding work according to the modified mathematical modeling by the field technicians, and carrying out new adjustment and modification on the newly carried out mathematical modeling until the internal stress of the steel structure corrected by the steel structure reaches the design requirements, and greatly reducing the technical threshold of flame correction by matching with the manual habits and technical flaws familiar to the technicians when the working efficiency of flame correction of the steel structure is greatly improved, and greatly improving the effect of flame correction of the steel structure.

Description

Mathematical model construction method for steel structure correcting force
Technical Field
The invention relates to the field of construction of mathematical models of steel structure correcting force, in particular to a construction method of a mathematical model of steel structure correcting force.
Background
Among the modern building base materials, steel members and cement members are the two most common types of building base materials, wherein the steel members are widely applied to various large buildings due to high strength and good processability.
Before building construction, stress calculation is usually performed on building materials for construction, and since calculating the bearing capacity of each building material through the stress calculation is a theoretical basis for whether a building can be built, a building designer usually performs systematic and complete calculation on the shape, size, material, and the like of the building when designing the building.
However, even if the architects make systematic and complete calculations at the time of design, when actually welding the H-section steel, the main deformation of the steel structure is the lateral bending due to flame-cut blanking, the angular deformation and bending deformation of the flange plate due to welding, and the distortion and wave deformation due to improper welding procedures. When the welded beam string with the box-shaped section is manufactured, main deformation includes lateral bending caused by flame cutting and blanking, and distortion and deformation caused by welding. If the deformation problem of the components in the manufacturing process is not corrected, the overall geometrical size of the structure is influenced, and the safety and reliability of engineering are reduced. In order to ensure the engineering quality and the construction precision, the deformation of the correcting component is a construction difficulty in the manufacturing stage of the steel structure engineering.
Flame straightening is generally adopted for straightening components under normal conditions, and the principle of flame straightening is to utilize the contraction force of steel materials after being heated and cooled to offset the stress generated by welding.
In the actual production process, flame straightening usually needs a technician with abundant experience, and different technicians have familiar technique habits and technical flaws, so that the unified mathematical model is difficult to meet the same flame straightening requirements of different technicians.
Disclosure of Invention
1. Technical problem to be solved
Aiming at the problems in the prior art, the invention aims to provide a steel structure straightening force mathematical model construction method, which can guide the flame straightening work of a steel structure by establishing a mathematical model, provide flame straightening position, time, temperature and other data for technicians, assist the technicians in flame straightening, and simultaneously cooperate with the skills habit and technical flaws familiar to the technicians, greatly reduce the technical threshold of flame straightening, greatly improve the working efficiency of flame straightening of the steel structure, and greatly improve the flame straightening effect of the steel structure.
2. Technical scheme
In order to solve the above problems, the present invention adopts the following technical solutions.
A method for constructing a mathematical model of steel structure correcting force mainly comprises the following steps:
s1, selecting a steel structure, selecting a corresponding steel structure after stress accounting by an architect, and uploading relevant parameters of the steel structure to a processing terminal;
s2, performing internal stress simulation, namely welding a plurality of groups of corresponding steel structures together by technicians working on site by using a welding technology, detecting the steel structures by using an internal stress detection tool, recording the deformation and the internal stress generated by the plurality of groups of steel structures in the welding process, converting the corresponding deformation into corresponding data, and uploading the data to a processing terminal;
s3, grouping steel structures, wherein the processing terminal groups the steel structures according to the deformation of the welded steel structures and groups the steel structures with similar deformation into a group;
s4, selecting inherent mathematical models, selecting the inherent mathematical models with the most similar application ranges for each group of steel structures by the processing terminal according to the relevant parameters and the final deformation of the steel structures, and calculating steel structure correction operation data such as the optimal processing position, the processing time length, the processing temperature and the like by applying the inherent mathematical models;
s5, correcting the steel structure, and operating by technicians according to the operation data obtained in the S4 inherent mathematical model selection;
s6, internal stress detection, wherein technicians detect the corrected steel structure by using an internal stress detection tool and upload data of the internal stress to a processing terminal, and groups of which the internal stress meets the processing requirements can be directly guided to operate by using the inherent mathematical model, while groups of which the internal stress does not meet the processing requirements need to finely adjust the inherent mathematical model;
and S7, adjusting the mathematical model, namely, for the group of which the internal stress does not meet the processing requirement, finely adjusting the selected mathematical model by the processing terminal, respectively adjusting the corrected processing position, the corrected processing time and the corrected processing temperature, finely adjusting the corrected processing position, the corrected processing time and the corrected processing temperature by the processing terminal, correcting the steel structure again by the staff according to the finely adjusted mathematical model, carrying out S6 internal stress detection step until all the steel structure groups find the most appropriate corresponding mathematical model, and transmitting the corresponding mathematical model to the processing terminal for storage.
Can realize guiding the flame correction work of steel structure through establishing mathematical model, provide data such as flame correction position, time and temperature to technical staff, supplementary technical staff carries out the flame correction, cooperates the gimmick custom and the technical flaw that technical staff is familiar with simultaneously, reduces the technical threshold of flame correction by a wide margin, when promoting the work efficiency of steel structure flame correction by a wide margin, promotes the effect of steel structure flame correction by a wide margin.
Further, processing terminal includes high in the clouds storage device and fixed terminal, signal connection between high in the clouds storage device and the fixed terminal, fixed terminal signal connection has mobile terminal, the steel constructs including steel structure group, and wherein high in the clouds storage device is the information storage end, and mobile terminal is the information transmission end, and only fixed terminal is furnished with data operation throughput, imitates partial insect's social population, differentiates function and configuration, reduces high in the clouds storage device, fixed terminal and mobile terminal's configuration cost.
Furthermore, the cloud storage device is used for inputting the historical steel structure correction mathematical model by professionals in the related field and storing the historical steel structure correction mathematical model as the inherent mathematical model, so that the inherent model can be conveniently selected in the subsequent S4 inherent mathematical model selection.
Further, in the S1 steel structure selection, the selected corresponding parameters of the steel structure include the steel type of the steel structure and the size of the steel structure, and are the subsequent S4. The selection of the eigen model in the selection of the eigen mathematical model provides the search data.
Further, in the S2 internal stress simulation, field workers individually perform detection, collect work data of the field workers themselves, correct an inherent mathematical model of a single worker, and adjust the inherent mathematical model in cooperation with a technical means of the single worker.
Furthermore, in the S3 steel structure grouping, the number of steel structures in each group should not be less than three, the sample capacity is increased, fine adjustment performed in S7 mathematical model adjustment has sufficient data support, and on the premise that the sample capacity is large enough, when the number of steel structure samples in a certain group is less than three, welding errors of the group of steel structures are occasional time for the technicians, in the actual production process, the errors can be tolerated, and welding can be performed again after disassembly.
Further, in the S4 inherent mathematical model selection, the inherent mathematical model is downloaded from the cloud storage device by the fixed terminal.
Furthermore, S5 steel constructs the correction in-process, adopts the forced air cooling to construct the cooling for the steel after correcting, is difficult for causing the inside alloy of steel structure to change mutually, is difficult for influencing the comprehensive data that the steel constructs by a wide margin.
Furthermore, in S6 internal stress detection, the staff utilizes the mobile terminal to transmit the pictures and data information corresponding to the steel structure group to the fixed terminal, the fixed terminal analyzes and calculates the data according to the inherent mathematical model, the functions and configuration are differentiated, and the configuration cost of the cloud storage device, the fixed terminal and the mobile terminal is reduced.
Furthermore, in the S7 mathematical model adjustment, the basis for fine tuning the selected mathematical model is the adjustment of the inherent mathematical model by the technician, and the inherent mathematical model is specifically adjusted to assist the corresponding technician in correcting the steel structure.
3. Advantageous effects
Compared with the prior art, the invention has the advantages that:
according to the scheme, independent mathematical modeling is carried out on steel structure correction of technical personnel on the spot, analysis is carried out according to actual welding work of the technical personnel on the spot at the current stage, then the manual habit and technical flaws of the working personnel adjust and modify the special mathematical modeling of the technical personnel, then the technical personnel on the spot carry out welding work according to the modified mathematical modeling, and then the new adjustment and modification are carried out on the new mathematical modeling until the internal stress of the steel structure corrected by the steel structure reaches the design requirement, guidance on the flame correction work of the steel structure through building of the mathematical model can be realized, the flame correction position, time, temperature and other data are provided for the technical personnel, the technical personnel are assisted in flame correction, the manual habit and technical flaws familiar to the technical personnel are matched, the technical threshold of flame correction is greatly reduced, the working efficiency of flame correction of the steel structure is greatly improved, and meanwhile the effect of flame correction of the steel structure is greatly improved.
Drawings
FIG. 1 is a schematic structural diagram of a main apparatus of the present invention;
FIG. 2 is a main flow chart of the present invention.
The reference numbers in the figures illustrate:
the system comprises a cloud storage device 1, a fixed terminal 2, a mobile terminal 3 and a steel structure group 4.
Detailed Description
The drawings in the embodiments of the invention will be combined; the technical scheme in the embodiment of the invention is clearly and completely described; obviously; the described embodiments are only some of the embodiments of the invention; but not all embodiments, are based on the embodiments of the invention; all other embodiments obtained by a person skilled in the art without making any inventive step; all fall within the scope of protection of the present invention.
In the description of the present invention, it should be noted that the terms "upper", "lower", "inner", "outer", "top/bottom", and the like indicate orientations or positional relationships based on those shown in the drawings, and are only for convenience of description and simplification of description, but do not indicate or imply that the referred device or element must have a specific orientation, be constructed in a specific orientation, and be operated, and thus should not be construed as limiting the present invention. Furthermore, the terms "first" and "second" are used for descriptive purposes only and are not to be construed as indicating or implying relative importance.
In the description of the present invention, it should be noted that, unless otherwise explicitly specified or limited, the terms "mounted", "provided", "fitted/connected", "connected", and the like, are to be interpreted broadly, such as "connected", which may be fixedly connected, detachably connected, or integrally connected; can be mechanically or electrically connected; they may be connected directly or indirectly through intervening media, or they may be interconnected between two elements. The specific meanings of the above terms in the present invention can be understood in specific cases to those skilled in the art.
Example 1:
referring to fig. 1-2, a mathematical model construction method for steel structure correcting force mainly includes the following steps:
s1, selecting a steel structure, selecting a corresponding steel structure by an architect after stress accounting, uploading relevant parameters of the steel structure to a processing terminal, further, in S1 steel structure selection, selecting corresponding parameters of the steel structure, including steel type of the steel structure, size of the steel structure and the like, and providing retrieval data for selection of an inherent model in subsequent S4 inherent mathematical model selection;
s2, performing internal stress simulation, namely welding multiple groups of corresponding steel structures together by a technician working on the spot by using a welding technology, detecting the steel structures by using an internal stress detection tool, recording the deformation and the internal stress generated by the multiple groups of steel structures in the welding process, converting the corresponding deformation into corresponding data, uploading the corresponding data to a processing terminal, and during S2 internal stress simulation, independently detecting the on-spot worker, collecting the working data of the on-spot worker per se, correcting the inherent mathematical model of the single worker, and adjusting the inherent mathematical model by matching the technical means of the single worker;
particularly, the processing terminal comprises a cloud storage device 1 and a fixed terminal 2, the cloud storage device 1 is in signal connection with the fixed terminal 2, the fixed terminal 2 is in signal connection with a mobile terminal 3, the steel structure comprises a steel structure group 4, the cloud storage device 1 is an information storage end, the mobile terminal 3 is an information transmission end and is carried by a technician, only the fixed terminal 2 is provided with data operation processing capacity to simulate social population of part of insects, the functions and configuration are differentiated, the configuration cost of the cloud storage device 1, the fixed terminal 2 and the mobile terminal 3 is reduced, the popularity of the mobile terminal 3 is improved, the cloud storage device 1 is used for inputting historical steel structure correction mathematical models by professionals in related fields to store the historical steel structure correction mathematical models as the inherent mathematical models, and the selection of the inherent mathematical models in the subsequent S4 inherent mathematical model selection is facilitated;
s3, grouping steel structures, grouping the steel structures by a processing terminal according to the deformation of the welded steel structures, grouping the steel structures with similar deformation into one group, wherein in the S3 steel structure grouping, the number of the steel structures in each group is not less than three, increasing the sample capacity, and enabling fine adjustment in S7 mathematical model adjustment to have sufficient data support;
s4, selecting inherent mathematical models, selecting the inherent mathematical models with the most similar application ranges for each group of steel structures by the processing terminal according to the relevant parameters and the final deformation of the steel structures, and calculating steel structure correction operation data such as the optimal processing position, the processing time length, the processing temperature and the like by applying the inherent mathematical models;
s5, correcting the steel structure, wherein a technician selects to obtain operation data according to the inherent mathematical model of S4 to operate, and in the process of correcting the steel structure, air cooling is adopted to cool the steel structure after the correction is finished, so that the alloy phase in the steel structure is not easy to change, and the comprehensive data of the steel structure is not easy to be greatly influenced;
s6, internal stress detection, wherein a technician detects the corrected steel structure by using an internal stress detection tool and uploads data of the internal stress to a processing terminal, the intrinsic mathematical model can be directly used for guiding operation on groups of which the internal stress meets the processing requirement, and the intrinsic mathematical model needs to be finely adjusted on groups of which the internal stress does not meet the processing requirement, in the S6 internal stress detection, a worker transmits pictures and data corresponding to the steel structure group 4 to a fixed terminal 2 by using a mobile terminal 3, the fixed terminal 2 analyzes and calculates the data conforming degree with the intrinsic mathematical model, functions and configuration are differentiated, and the configuration cost of a cloud storage device 1, the fixed terminal 2 and the mobile terminal 3 is reduced;
s7, mathematical model adjustment, do not reach the grouping of handling the requirement to the internal stress, the processing terminal finely tunes the mathematical model of selection, adjust the processing position of correction respectively, it is long and the processing temperature finely tunes to handle, the staff carries out steel structure correction once more and carries out S6 internal stress detection step according to the mathematical model after the fine setting, until all steel structure groups all find the most suitable corresponding mathematical model, and transmit the mathematical model that corresponds to the processing terminal storage, especially every steel structure all can carry out once correction, too much magnetic flame corrects or destroys steel structure inside and metallography, influence the intensity of steel structure and cause the internal stress to change by a wide margin simultaneously, easily cause the internal stress to measure and make mistakes, in S7 mathematical model adjustment, the basis of selecting mathematical model to finely tune is the adjustment of this technical staff past inherent mathematical model, carry out the specificity adjustment to inherent mathematical model, be used for assisting corresponding technical staff to carry out steel structure correction.
According to the scheme, independent mathematical modeling is carried out on steel structure correction of technicians in the field, analysis is carried out according to actual welding work of the technicians in the field at the current stage, then manipulation habits and technical flaws of the workers adjust and modify specific mathematical modeling of the technicians, then the technicians in the field perform welding work according to the modified mathematical modeling, and then the mathematical modeling is re-adjusted and modified again until internal stress of the steel structure corrected by the steel structure reaches design requirements, guidance on flame correction work of the steel structure through establishing the mathematical model can be realized, data such as flame correction position, time and temperature are provided for the technicians, the technicians are assisted in flame correction, meanwhile, the familiar manipulation habits and technical flaws of the technicians are matched, the technical threshold of flame correction is greatly reduced, the working efficiency of flame correction of the steel structure is greatly improved, and meanwhile, the effect of flame correction of the steel structure is greatly improved.
As described above; but are merely preferred embodiments of the invention; the scope of the invention is not limited thereto; any person skilled in the art is within the technical scope of the present disclosure; the technical scheme and the improved concept of the invention are equally replaced or changed; are intended to be covered by the scope of the present invention.

Claims (10)

1. A steel structure correcting force mathematical model construction method is characterized by comprising the following steps: the method mainly comprises the following steps:
s1, selecting a steel structure, after stress accounting, selecting a corresponding steel structure by an architect, and uploading relevant parameters of the steel structure to a processing terminal;
s2, performing internal stress simulation, namely welding a plurality of groups of corresponding steel structures together by technicians working on site by using a welding technology, detecting the steel structures by using an internal stress detection tool, recording the deformation and the internal stress generated by the plurality of groups of steel structures in the welding process, converting the corresponding deformation into corresponding data, and uploading the data to a processing terminal;
s3, grouping steel structures, wherein the processing terminal groups the steel structures according to the deformation of the welded steel structures and groups the steel structures with similar deformation into a group;
s4, selecting inherent mathematical models, selecting the inherent mathematical models with the most similar application ranges for each group of steel structures by the processing terminal according to the relevant parameters and the final deformation of the steel structures, and calculating the optimal processing position, processing time and processing temperature steel structure correction operation data by applying the inherent mathematical models;
s5, correcting the steel structure, and operating by technicians according to the operation data obtained in the S4 inherent mathematical model selection;
s6, internal stress detection, wherein a technician detects the corrected steel structure by using an internal stress detection tool and uploads the data of the internal stress to a processing terminal, the intrinsic mathematical model can be directly used for guiding operation for a group with the internal stress meeting the processing requirement, and the intrinsic mathematical model needs to be finely adjusted for a group without the internal stress meeting the processing requirement;
and S7, adjusting the mathematical model, namely, for the group of which the internal stress does not meet the processing requirement, finely adjusting the selected mathematical model by the processing terminal, respectively adjusting the corrected processing position, the corrected processing time and the corrected processing temperature, finely adjusting the corrected processing position, the corrected processing time and the corrected processing temperature by the processing terminal, correcting the steel structure again by the staff according to the finely adjusted mathematical model, carrying out S6 internal stress detection step until all the steel structure groups find the most appropriate corresponding mathematical model, and transmitting the corresponding mathematical model to the processing terminal for storage.
2. The method for constructing the mathematical model for the steel structure correcting force according to claim 1, characterized in that: the processing terminal comprises a cloud storage device (1) and a fixed terminal (2), the cloud storage device (1) is in signal connection with the fixed terminal (2), the fixed terminal (2) is in signal connection with a mobile terminal (3), and the steel structure comprises a steel structure group (4).
3. The method for constructing the mathematical model for the steel structure correcting force according to claim 2, characterized in that: the cloud storage device (1) is used for inputting a historical steel structure correction mathematical model by professionals in the relevant field and storing the historical steel structure correction mathematical model as an inherent mathematical model.
4. The method for constructing the mathematical model for the steel structure correcting force according to claim 1, characterized in that: in S1 steel structure selection, the corresponding parameters of steel structure selection comprise steel type of steel structure and size of steel structure.
5. The method for constructing the mathematical model for the steel structure correcting force according to claim 1, characterized in that: in S2, in the internal stress simulation, field workers independently detect the internal stress, and work data of the field workers are collected.
6. The method for constructing the mathematical model for the steel structure correcting force according to claim 1, characterized in that: in the S3 steel structure group, the number of steel structures in each group is not less than three.
7. The method for constructing the mathematical model for the steel structure correcting force according to claim 1, characterized in that: in the S4 inherent mathematical model selection, the inherent mathematical model is downloaded from the cloud storage device (1) by the fixed terminal (2).
8. The method for constructing the mathematical model for the steel structure correcting force according to claim 1, characterized in that: and in the S5 steel structure correcting process, air cooling is adopted for cooling the steel structure after the correction is finished.
9. The method for constructing the mathematical model for the steel structure correcting force according to claim 1, characterized in that: in S6, in the internal stress detection, a worker transmits the picture and data information corresponding to the steel structure group (4) to the fixed terminal (2) by using the mobile terminal (3), and the fixed terminal (2) analyzes and calculates the data conforming degree with the inherent mathematical model.
10. The method for constructing the mathematical model for the steel structure correcting force according to claim 1, characterized in that: in the step S7 of adjusting the mathematical model, the basis for fine adjustment of the selected mathematical model is adjustment of the inherent mathematical model by the technician.
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