CN108009327A - A kind of virtual preassembling error decision method based on steel member deformation analysis - Google Patents
A kind of virtual preassembling error decision method based on steel member deformation analysis Download PDFInfo
- Publication number
- CN108009327A CN108009327A CN201711178469.4A CN201711178469A CN108009327A CN 108009327 A CN108009327 A CN 108009327A CN 201711178469 A CN201711178469 A CN 201711178469A CN 108009327 A CN108009327 A CN 108009327A
- Authority
- CN
- China
- Prior art keywords
- steel member
- analysis
- deformation
- component
- virtual
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Granted
Links
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F30/00—Computer-aided design [CAD]
- G06F30/10—Geometric CAD
- G06F30/13—Architectural design, e.g. computer-aided architectural design [CAAD] related to design of buildings, bridges, landscapes, production plants or roads
Landscapes
- Engineering & Computer Science (AREA)
- Physics & Mathematics (AREA)
- Geometry (AREA)
- General Physics & Mathematics (AREA)
- Computer Hardware Design (AREA)
- Theoretical Computer Science (AREA)
- Mathematical Optimization (AREA)
- Computational Mathematics (AREA)
- Architecture (AREA)
- Mathematical Analysis (AREA)
- Structural Engineering (AREA)
- Pure & Applied Mathematics (AREA)
- Evolutionary Computation (AREA)
- General Engineering & Computer Science (AREA)
- Civil Engineering (AREA)
- Length Measuring Devices With Unspecified Measuring Means (AREA)
- Testing Of Devices, Machine Parts, Or Other Structures Thereof (AREA)
Abstract
The invention discloses a kind of virtual preassembling error decision method based on steel member deformation analysis, carries out malformation analysis according to arrangement and method for construction and operating mode to construction unit in structured design phase first and determines the pre- springing quantum of structure, completes structural design optimization；Factory carries out component processing according to the designing scheme after optimization；To component Scanning Detction and virtual preassembling after machining, the deformation △ of scanned component is calculated using constraints of the computation model after optimization in analog scanning in designing analysis software and influence factor1, by the deviation △ of scan model analysis2With deformation analysis △1As a result it is superimposed, that is, obtains actual machining deviation △, is analyzed by malformation and improve the accuracy that the virtual preassembling of steel member detects, believable Data safeguard is provided for the virtual preassembling of steel construction.
Description
Technical field
The present invention relates to construction steel structure, computer simulation analysis and 3 D laser scanning surveying and mapping technology, and in particular to one
Virtual preassembling error decision method of the kind based on steel member deformation analysis.
Background technology
The virtual preassembling technology of steel construction is the steel construction detection method based on 3 D laser scanning against imaging technique, it is former
Reason be by obtain steel member data model and steel member theoretical model that actual processing completes under simulated computer environment into
Row fitting contrast, completes the virtual detection of single component, then the data model after detection is unified into construction unit and is tied with theoretical
Structure model of element compares and analyzes, so that the virtual preassembling of the entirety for completing construction unit.
When single member virtual scan detects its detection error result by detecting instrument precision, component actual processing error,
Component is not fixed the factors such as deformation and causes, and it is to influence the principal element of preassembling result accuracy that wherein component, which is not fixed deformation,
It is related with moulding bed arrangement, member dead weight, environment temperature during scanning that component is not fixed deformation, it is therefore desirable to passes through computer simulation meter
Component is calculated component deviation and to be modified the deviation caused by being not fixed deformation.
Malformation is analyzed, its principle is to utilize Midas, SAP2000,3D3S, Test model, Reference models etc.
Structure analysis software carries out force analysis to component or construction unit, and analytic process can simulate component or structure practice of construction work
Condition, stressing conditions and actual external environment, quick analysis calculate the results such as its malformation displacement, strain, stress.
In consideration of it, present applicant has proposed a kind of virtual preassembling error decision method based on steel member deformation analysis,
Implementation path is provided for the virtual preassembling of steel construction and ensures the accuracy of data analysis.
The content of the invention
The invention discloses a kind of virtual preassembling error decision method based on steel member deformation analysis, in order to
Made during the amendment virtual preassembling of steel construction under other influences factor of the steel member in addition to machining deviation and instrumental systematic errors
Into deviation, provide implementation path for the virtual preassembling of steel construction and ensure the accuracy of data analysis.
To reach above-mentioned purpose, concrete technical scheme of the present invention is as follows：
The first step：Standard building blocks computation model is imported into design analysis software and carries out malformation point by in-site installation situation
Analysis, obtains malformation as a result, and carrying out pre- arch camber to construction unit according to malformation result；
Second step：Deepen Design personnel complete the Deepen Design of steel member according to the pre- arch camber design requirement of structure, synchronously complete excellent
BIM models after change；
3rd step：Factory completes component processing according to Deepen Design scheme；
4th step：The steel member machined is placed on moulding bed, determines component disposing way and moulding bed arrangement quantity and position
Put, carrying out 3 D laser scanning to component after component fixation obtains its scan data model；
5th step：Obtained data model will be scanned import conversed analysis software and be fitted analysis, and to each key node into
Row deviation measures and cutting is analyzed to obtain the bias contribution of actual steel member detection；
6th step：Construction unit model after pre- arch camber is designed splits into single member computation model, and by single member analysis meter
Model is calculated to import in design analysis software；
7th step：Give computation model the support restraint condition identical with actual scanning state in analysis software is designed（Tire
Frame places quantity, position and fixed form）And environment temperature, then analyze its deformation under the effect of the factors such as dead weight, temperature
Situation, obtains each key node（Detection）Deformation result；
8th step：The bias contribution that actual components virtual detection obtains and the deformation of member result of computation model sunykatuib analysis are folded
Add to obtain its difference, which is steel member actual processing error；
9th step：Require determination means processing qualified or not according to steel construction quality related specifications, problem component adds according to actual
Work error is corrected, until component detection is qualified.
Application of the present invention in the virtual preassembling of steel construction has notable benefit, for flexible larger steel member or knot
Structure, steel member change caused by the factors such as dead weight, ambient temperature during virtual detection can be effectively corrected by this method
Shape error, so as to provide more accurate component correction solution, improves component machining accuracy, while based on the detection knot after correction
Fruit can effectively improve the data accuracy of the virtual preassembling of steel construction, and the virtual preassembling technology of steel construction is more conducive to popularization should
With with instruct processing and installation.
Brief description of the drawings
Fig. 1 is the system flow chart of the present invention.
Embodiment
The present invention is further described with case study on implementation below in conjunction with the accompanying drawings.
As shown in Figure 1, a kind of virtual preassembling error decision method based on steel member deformation analysis, it includes following step
Suddenly：
Step 1：Designer carries out construction unit construction simulation according to arrangement and method for construction and operating mode, analyzes malformation and determines knot
The pre- springing quantum of structure；
Step 2：Deepen Design personnel complete the Deepen Design of steel member according to Structural Design Requirement, and complete Reference moulds
Type；
Step 3：Factory completes component processing according to Deepen Design scheme；
Step 4：The steel member machined is positioned on moulding bed and carries out 3 D laser scanning and inversely generation Test models；
Step 5：Test models are imported into conversed analysis software and are fitted analysis with Reference models, obtain virtual detection
Each key node of steel member afterwards（Detection）Bias contribution △2；
Step 6：Condition is placed by scanning component in calculating analysis software, identical constraint and ring are carried out to computation model
Border is simulated, and deformation of the analysis and calculation model under the effect of the factors such as dead weight, temperature, obtains each key node（Detection）Sweep
Retouch the deformation result △ under operating mode1；
Step 7：By the deformation of member result △ of computation model analog scanning performance analysis1, obtained with actual components Scanning Detction
Deviation △2Superposition, that is, obtain actual machining deviation △=△1+△2 ；
Step 8：Determination means are required to process according to steel construction quality related specifications qualified or not, problem component is according to actual processing
Error is corrected, until component detection is qualified.
Test models and Reference models in the present invention are the general model of those skilled in the art, therefore are no longer opened up
Open and repeat.
Case study on implementation flow：Referring to Fig. 1
A kind of virtual preassembling error decision method based on steel member deformation analysis of the present invention obtains in multiple projects
To practice and feasibility verification, exemplified by this sentences Hong Kong inspection of passengers building program, a kind of void based on steel member deformation analysis is sketched
Intend preassembling error decision method, comprise the following steps that：
The first step：Inspection of passengers building agent structure in Hong Kong is large span spatial structure, the nearly 30m of truss span, according to design and construction side
Case calculates analysis need to be to the pre- arch camber of structure；
Second step：The Deepen Design personnel of the project carry out Deepen Design according to structural design scheme；
3rd step：Processing factory completes component processing and fabricating according to in-depth drawing；
4th step：Using certain arch truss girder in this project assembled rigid unit as detection object, which is positioned over moulding bed
On, moulding bed is respectively arranged at the inside 1m right positions of component two ends, and moulding bed quantity is two, and environment temperature is 20 DEG C during scanning
Left and right, scanning staff are scanned to obtain component data model to each key node of component；
5th step：The BIM technology personnel of Hong Kong inspection of passengers building program are to the data model and Deepen Design model of the component in spy
Determine to be fitted analysis in software, and the progress deviation measurement of each key node of component and cutting are analyzed to obtain the every inspection of the component
Survey data（The detection data include deformation deviation caused by instrumental systematic errors, component machining deviation and dead weight and temperature）；
6th step：Structure design personnel choose the computation model after the pre- arch camber of the girder, to the component in analysis software is designed
Deformation analysis is carried out, its constraints and physical constraint during scanning are consistent, and obligatory point is arranged on the inside 1m of component two ends
Right position, it is 20 DEG C to set simulated environment temperature, calculates the deformation of its each key node under the effect of the factors such as dead weight, temperature
Amount；
7th step：The result that Scanning Detction obtains is overlapped with simulating the result of the deformation of member, both differences are component
Correct the true machining deviation of component after the influence of the external factor such as dead weight, temperature；
8th step：Hong Kong inspection of passengers building program quality inspection and technologist sentence according to bias contribution is qualified or not to component processing
It is fixed, correction is made to component according to the examining report that BIM portions provide if unqualified, until entering application after component detection is qualified
Link.
To sum up, a kind of virtual preassembling error decision method based on steel member deformation analysis of the invention efficiently solves
The virtual preassembling of steel construction due to caused by non-processing deviation testing result authenticity lack problem, particularly with span it is larger,
Flexible larger component or assembled rigid unit have more practical significance.By application of this method in the virtual preassembling of steel construction, it is
The virtual preassembling of steel construction provides implementation path and ensures the accuracy of data analysis, improves construction quality, makes steel construction empty
Intend preassembling technology to be more conducive to popularization and application and instruct processing and installation.
Above case study on implementation is merely to illustrate technical scheme and unrestricted, and those skilled in the art is to this hair
Other modifications or replace, core concept and technology model without departing from technical solution of the present invention that bright technical solution is made
Enclose, should all cover in scope of the presently claimed invention.
Claims (7)
- A kind of 1. virtual preassembling error decision method based on steel member deformation analysis, it is characterised in that its detailed process bag Include following steps:Step 1：Designer carries out construction unit construction simulation according to arrangement and method for construction and operating mode, analyzes malformation and determines knot The pre- springing quantum of structure；Step 2：Deepen Design personnel complete the Deepen Design of steel member according to Structural Design Requirement, and complete Reference moulds Type；Step 3：Factory completes component processing according to Deepen Design scheme；Step 4：The steel member machined is positioned on moulding bed and carries out 3 D laser scanning and inversely generation Test models；Step 5：Test models are imported into conversed analysis software and are fitted analysis with Reference models, obtain virtual detection The bias contribution △ of each key node of steel member afterwards2；Step 6：Condition is placed by scanning component in calculating analysis software, identical constraint and ring are carried out to computation model Border is simulated, and deformation of the analysis and calculation model under dead weight, temperature factor effect, obtains under each key node scanning operating mode Deformation result △1；Step 7：By the deformation of member result △ of computation model analog scanning performance analysis1, obtained with actual components Scanning Detction Deviation △2Superposition, that is, obtain actual machining deviation △=△1+△2 ；Step 8：Determination means are required to process according to steel construction quality related specifications qualified or not, problem component is according to actual processing Error is corrected, until component detection is qualified.
- 2. a kind of virtual preassembling error decision method based on steel member deformation analysis according to claim 1, it is special Sign is：The step 1 obtains structure specifically by carrying out deformation analysis in structure analysis software to normal structure model Deformation result, carries out pre- arch camber design to master pattern further according to malformation result, synchronously completes Reference models.
- 3. a kind of virtual preassembling error decision method based on steel member deformation analysis according to claim 1, it is special Sign is：The step 4, step 5 steel member 3 D laser scanning virtual detection step include：A, steel member to be scanned is placed on moulding bed, and records steel member disposing way and moulding bed arrangement quantity and position；B, arrange non-coding site in steel member key node, taken pictures using camera system and obtain component space orientation seat Mark；C, data model acquisition is carried out to steel member using Handheld laser scanning device based on the space coordinate, obtains steel member 3-D scanning model, i.e. Test models；D, Test models are imported into conversed analysis software and is fitted analysis with Reference models, obtain steel after virtual detection Each key node of component（Detection）Bias contribution △2 。
- 4. a kind of virtual preassembling error decision method based on steel member deformation analysis according to claim 3, it is special Sign is：Component disposing way includes in plane and the outer two kinds of disposing ways of plane, its disposing way is different, deformation of member result Difference, moulding bed arrangement quantity and position are different, and deformation of member result is also different.
- 5. a kind of virtual preassembling error decision method based on steel member deformation analysis according to claim 1, it is special Sign is：The step 5 steel member key node mainly includes steel member routine physical dimension, craft port sectional dimension, curved Turn round angle between component radian, bracket/branch pipe, bolt hole hole position.
- 6. a kind of virtual preassembling error decision method based on steel member deformation analysis according to claim 1, it is special Sign is：The step 6 is specially to be split as single member computation model to the construction unit of pre- arch camber design first, then will be single Computation model after the pre- arch camber of component, which is imported in design analysis software, to be assumed and the support restraint bar under actual scanning equal state Part and environment temperature, finally calculate the malformation result △ of its computation model under the effect of the factors such as dead weight, temperature1。
- 7. a kind of virtual preassembling error decision method based on steel member deformation analysis according to claim 1, it is special Sign is：The bias contribution that step 7 Scanning Detction obtains includes steel member machining deviation and member dead weight and temperature factor Caused by deviation, it is deviation caused by member dead weight and temperature factor that computation model sunykatuib analysis, which obtains deformation of member result, Both synergistic effects are that steel member is really machining deviation.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201711178469.4A CN108009327B (en) | 2017-11-23 | 2017-11-23 | Virtual pre-assembly error judgment method based on steel member deformation analysis |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201711178469.4A CN108009327B (en) | 2017-11-23 | 2017-11-23 | Virtual pre-assembly error judgment method based on steel member deformation analysis |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN108009327A true CN108009327A (en) | 2018-05-08 |
| CN108009327B CN108009327B (en) | 2021-05-04 |
Family
ID=62053317
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201711178469.4A Active CN108009327B (en) | 2017-11-23 | 2017-11-23 | Virtual pre-assembly error judgment method based on steel member deformation analysis |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN108009327B (en) |
Cited By (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110345865A (en) * | 2018-12-20 | 2019-10-18 | 中铁高新工业股份有限公司 | A kind of steel construction digitizing detection method based on 3-D scanning |
| CN111395173A (en) * | 2020-03-23 | 2020-07-10 | 东南大学 | BIM-based steel truss arch bridge bolt connection construction precision control method |
| CN111444570A (en) * | 2020-04-16 | 2020-07-24 | 福建汇川物联网技术科技股份有限公司 | Construction error information acquisition method and device |
| CN111677295A (en) * | 2020-05-29 | 2020-09-18 | 中冶(上海)钢结构科技有限公司 | Steel structure assembling arching correction method for steel structure integral lifting construction method |
| CN112633717A (en) * | 2020-12-28 | 2021-04-09 | 青岛亿联建设集团股份有限公司 | BIM-based management system for building construction |
Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| DE10357413A1 (en) * | 2003-12-04 | 2005-07-07 | Volkswagen Ag | Method for simulating installation and fitting situations for complex products esp. motor vehicles, uses CAD system to generate 3D geometry data |
| CN101882180A (en) * | 2010-07-09 | 2010-11-10 | 中国二十二冶集团有限公司 | Computer simulation pre-assembly method of construction steel structure |
| CN103336856A (en) * | 2013-05-31 | 2013-10-02 | 中建钢构有限公司 | Virtual steel structure pre-assembly method based on visual model |
| CN107292947A (en) * | 2016-03-31 | 2017-10-24 | 上海宝冶集团有限公司 | Construction steel structure digitlization pre-assembly method based on 3-D scanning and reverse modeling |
-
2017
- 2017-11-23 CN CN201711178469.4A patent/CN108009327B/en active Active
Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| DE10357413A1 (en) * | 2003-12-04 | 2005-07-07 | Volkswagen Ag | Method for simulating installation and fitting situations for complex products esp. motor vehicles, uses CAD system to generate 3D geometry data |
| CN101882180A (en) * | 2010-07-09 | 2010-11-10 | 中国二十二冶集团有限公司 | Computer simulation pre-assembly method of construction steel structure |
| CN103336856A (en) * | 2013-05-31 | 2013-10-02 | 中建钢构有限公司 | Virtual steel structure pre-assembly method based on visual model |
| CN107292947A (en) * | 2016-03-31 | 2017-10-24 | 上海宝冶集团有限公司 | Construction steel structure digitlization pre-assembly method based on 3-D scanning and reverse modeling |
Cited By (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110345865A (en) * | 2018-12-20 | 2019-10-18 | 中铁高新工业股份有限公司 | A kind of steel construction digitizing detection method based on 3-D scanning |
| CN111395173A (en) * | 2020-03-23 | 2020-07-10 | 东南大学 | BIM-based steel truss arch bridge bolt connection construction precision control method |
| CN111395173B (en) * | 2020-03-23 | 2021-06-29 | 东南大学 | BIM-based steel truss arch bridge bolt connection construction precision control method |
| CN111444570A (en) * | 2020-04-16 | 2020-07-24 | 福建汇川物联网技术科技股份有限公司 | Construction error information acquisition method and device |
| CN111677295A (en) * | 2020-05-29 | 2020-09-18 | 中冶(上海)钢结构科技有限公司 | Steel structure assembling arching correction method for steel structure integral lifting construction method |
| CN112633717A (en) * | 2020-12-28 | 2021-04-09 | 青岛亿联建设集团股份有限公司 | BIM-based management system for building construction |
| CN112633717B (en) * | 2020-12-28 | 2023-04-07 | 青岛亿联建设集团股份有限公司 | BIM-based management system for building construction |
Also Published As
| Publication number | Publication date |
|---|---|
| CN108009327B (en) | 2021-05-04 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN108009327A (en) | A kind of virtual preassembling error decision method based on steel member deformation analysis | |
| Krist et al. | CFL3D user's manual (version 5.0) | |
| CN106529055A (en) | Model updating method based on strain modal shape correlation | |
| Griffith et al. | Experimental modal analysis of 9-meter research-sized wind turbine blades | |
| Ascione et al. | Measurement of nonrigid freeform surfaces by coordinate measuring machine | |
| CN104977169B (en) | A kind of cold pendulum numerical experiment method of rocket engine | |
| Talbot et al. | Offshore wind turbine blades measurement using Coherent Laser Radar | |
| MacKay et al. | Accuracy of nonlinear finite element collapse predictions for submarine pressure hulls with and without artificial corrosion damage | |
| Fedorov | Bend-twist coupling effects in wind turbine blades | |
| CN109359336A (en) | A kind of similar distortion model construction method of lashing bridge based on multiple-objection optimization | |
| CN107169172A (en) | A kind of vibration analysis emulation mode of Complex Assembly body | |
| CN110516365A (en) | A method of test bolt joint stiffness | |
| Feil et al. | A cross-sectional aeroelastic analysis and structural optimization tool for slender composite structures | |
| CN110222428A (en) | A kind of reliability analysis system and method for system-oriented grade encapsulation SIP device | |
| Song et al. | Error modeling and compensation for parallel kinematic machines | |
| He et al. | Displacement reconstruction of beams subjected to moving load using data fusion of acceleration and strain response | |
| RU2445592C1 (en) | Method of checking quality of operation of stand for determining mass-balancing and mass-inertia characteristics of solid body of rotation | |
| CN117195662A (en) | Method and system for predicting welding deformation of large structural part | |
| CN113283143A (en) | Method for correcting finite element model of superposed beam based on dynamic and static force data | |
| Muelaner et al. | Integrated dimensional variation management in the digital factory | |
| Vijayachandran et al. | Steered fiber paths for improved in-plane compressive response of aerostructural panels: experimental studies and numerical modeling | |
| CN115165047A (en) | Electronic balance capable of synchronously measuring weight and gravity center | |
| JP2007114061A (en) | Strain measuring method and apparatus therefor | |
| Jutte et al. | Static Loads Testing of a High Aspect Ratio Tow-Steered Wingbox | |
| CN112069618A (en) | Method for solving gear contact analysis simulation |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| TA01 | Transfer of patent application right | ||
| TA01 | Transfer of patent application right |
Effective date of registration: 20210421 Address after: Zhejiang Province, Shaoxing Jianhu road 312030 Keqiao city Keqiao District Economic Development Zone Applicant after: ZHEJIANG JINGGONG STEEL BUILDING GROUP Co.,Ltd. Applicant after: Bimtec information technology (Shanghai) Co.,Ltd. Applicant after: CHANGJIANG & JINGGONG STEEL STRUCTURE (Group) Co.,Ltd. Address before: 312000 Zhejiang city of Shaoxing province Jianhu road Keqiao District No. 1587 Applicant before: ZHEJIANG JINGGONG STEEL BUILDING GROUP Co.,Ltd. |
|
| GR01 | Patent grant | ||
| GR01 | Patent grant |