CN111353262A - Grid discrete improvement method based on Cutcell technology in structural analysis - Google Patents

Grid discrete improvement method based on Cutcell technology in structural analysis Download PDF

Info

Publication number
CN111353262A
CN111353262A CN202010134954.7A CN202010134954A CN111353262A CN 111353262 A CN111353262 A CN 111353262A CN 202010134954 A CN202010134954 A CN 202010134954A CN 111353262 A CN111353262 A CN 111353262A
Authority
CN
China
Prior art keywords
grid
boundary
structural analysis
analysis model
cutcell
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
Application number
CN202010134954.7A
Other languages
Chinese (zh)
Other versions
CN111353262B (en
Inventor
吴早凤
陈灏
谢蓉
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Shanghai Suochen Information Technology Co ltd
Original Assignee
Shanghai Suochen Information Technology Co ltd
Priority date (The priority date 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 date listed.)
Filing date
Publication date
Application filed by Shanghai Suochen Information Technology Co ltd filed Critical Shanghai Suochen Information Technology Co ltd
Priority to CN202010134954.7A priority Critical patent/CN111353262B/en
Publication of CN111353262A publication Critical patent/CN111353262A/en
Application granted granted Critical
Publication of CN111353262B publication Critical patent/CN111353262B/en
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Images

Classifications

    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T17/00Three dimensional [3D] modelling, e.g. data description of 3D objects
    • G06T17/20Finite element generation, e.g. wire-frame surface description, tesselation
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T17/00Three dimensional [3D] modelling, e.g. data description of 3D objects
    • G06T17/30Polynomial surface description

Abstract

The invention discloses a grid discrete improvement method based on Cutcell technology in structural analysis, which comprises the following steps: dividing the structural analysis model into grids by adopting a Cutcell technology; directly taking the whole internal grid as a discrete computation node for the internal grid in the structural analysis model; the external grids outside the structural analysis model are not considered; for the boundary grid, the coordinates (x) of the center position of the boundary grid are obtainedi,yi) And the central position of the boundary grid is mapped to the corresponding tangent coordinate at the boundary of the structural analysis model
Figure DDA0002397012710000011
Judgment of
Figure DDA0002397012710000012
If the central position of the boundary grid is located on the outer side of the structural analysis model boundary, the boundary grid is subjected to triangular half-and-half subdivision, the triangular grid close to the outer side of the structural analysis model boundary is taken as a discrete calculation node, and if the central position of the boundary grid is located on the inner side of the structural analysis model boundary, the whole boundary grid is taken as a discrete calculation node.

Description

Grid discrete improvement method based on Cutcell technology in structural analysis
Technical Field
The invention relates to the technical field of grid dispersion in structural analysis, in particular to a grid dispersion improvement method based on a Cutcell technology in structural analysis.
Background
The Cutcell technology, namely the rectangular coordinate system grid division technology, is a grid discrete technology commonly used in the field of fluid simulation at present. By the Cutcell technology, Cutcell grids can be divided quickly, and then an upper boundary layer is attached to the boundary area. The method solves the problems of overlarge workload of hexahedron division of a complex structure and limited calculation precision of the tetrahedron. In fluid simulation, using a suitable Cutcell technique, Cartesian grids can achieve simulation results similar to complex non-Cartesian grids for complex non-rectangular geometries.
With the improvement of the structural complexity, the structural calculation scale and the requirement of solving precision, the structural analysis body structural discrete modeling provides higher requirements than the fluid analysis grid, and the traditional structural analysis grid discrete mode-grid mapping division and free adaptation division can meet the requirements of the grid which is difficult to structurally analyze.
Disclosure of Invention
Aiming at the problems and the defects in the prior art, the invention provides a grid discrete improvement method based on the Cutcell technology in structural analysis.
The invention solves the technical problems through the following technical scheme:
the invention provides a grid discrete improvement method based on Cutcell technology in structural analysis, which is characterized by comprising the following steps:
s1, carrying out grid division on the structural analysis model by adopting a Cutcell technology according to the set grid size;
s2, directly taking the whole internal grid as a discrete calculation node for the internal grid in the structural analysis model; for external grids outside the structural analysis model, the external grids are not considered; for each boundary grid positioned on the boundary of the structural analysis model, acquiring the coordinates (x) of the center position of the boundary gridi,yi) And the central position of the boundary grid is mapped to the corresponding tangent coordinate at the boundary of the structural analysis model
Figure BDA0002397012690000021
Judgment of
Figure BDA0002397012690000022
If the central position of the boundary grid is located on the outer side of the boundary of the structural analysis model, the boundary grid is subjected to triangular half-and-half subdivision, the triangular grid close to the outer side of the boundary of the structural analysis model is taken as a discrete calculation node, otherwise, the central position of the boundary grid is located on the inner side of the boundary of the structural analysis model, and the whole boundary grid is taken as the discrete calculation node.
The positive progress effects of the invention are as follows:
the patent provides a discrete modeling method for applying Cutcell technology to structural analysis, aiming at the improvement of Cutcell grid technology, the method is suitable for structural analysis, and meets the characteristics of continuity and harmony of structural analysis grids.
The invention provides a grid discrete modeling method for applying Cutcell technology to structural analysis, which is characterized in that the Cutcell technology is applied to structural analysis discrete modeling, an internal domain does not need to be changed, a relative position relation between a boundary appearance and a grid center needs to be judged for a boundary domain, judgment is carried out, and a boundary grid is subjected to related subdivision, so that field function reconstruction and a related displacement boundary are carried out. The Cutcell technology is applied to structural mesh subdivision, rapid modeling of a complex structure can be achieved, the fact that meshes in a domain are hexahedral meshes is guaranteed, accuracy of pretreatment is guaranteed, and meanwhile manual treatment efficiency of pretreatment is improved.
Drawings
Fig. 1 is a flowchart of a grid discretization improving method based on the Cutcell technology in the structural analysis according to the preferred embodiment of the present invention.
FIG. 2 is a diagram illustrating a grid partitioning of a structural analysis model according to a preferred embodiment of the present invention.
FIG. 3 is a schematic diagram of the boundary mesh processing of the structural analysis model according to the preferred embodiment of the invention.
FIG. 4 is a schematic diagram illustrating the Cutcell technology applied to the structural grid discretization according to the preferred embodiment of the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are some, but not all, embodiments of the present invention. All other embodiments, which can be obtained by a person skilled in the art without any inventive step based on the embodiments of the present invention, are within the scope of the present invention.
As shown in fig. 1, this embodiment provides a grid discretization improvement method based on the Cutcell technology in structural analysis, including the following steps:
and S1, carrying out mesh division on the structural analysis model by adopting a Cutcell technology according to the set mesh size (see FIG. 2, wherein the boundary mesh on the right side applies a displacement boundary, and the boundary mesh on the top applies a pressure boundary).
S2, for the internal grids in the structural analysis model, the whole internal grid is directly taken as a discrete calculation node, and the displacement field function reconstruction can be carried out by utilizing the incidence relation between the coordinates of the grid nodes and the nodes, so that the requirement of solving a control differential equation is met.
For external meshes outside the structural analysis model, no structural calculation is involved, and therefore its influence is not considered.
For each boundary grid positioned on the boundary of the structural analysis model, acquiring the coordinates (x) of the center position of the boundary gridi,yi) And the central position of the boundary grid is mapped to the corresponding tangent coordinate at the boundary of the structural analysis model
Figure BDA0002397012690000031
If it is not
Figure BDA0002397012690000032
As shown in point I in fig. 3, it is described that the center position of the boundary grid is located outside the boundary of the structural analysis model, and at this time, the boundary grid is triangularly divided into two halves, and the triangular grid close to the outside of the boundary of the structural analysis model is taken as a node of discrete computation.
If it is not
Figure BDA0002397012690000041
As shown by the point J in fig. 3, it is indicated that the center position of the boundary grid is located inside the structural analysis model boundary, and at this time, the entire boundary grid is taken as a node of the discrete computation.
According to the method, the Cutcell technology is applied to structural analysis discrete modeling, the internal domain does not need to be changed, the relative position relation between the boundary appearance and the grid center needs to be judged for the boundary domain, the judgment is carried out, and the boundary grid is subjected to related subdivision, so that the reconstruction of a field function and the related displacement boundary are carried out. The Cutcell technology is applied to structural mesh subdivision, rapid modeling of a complex structure can be achieved, the fact that meshes in a domain are hexahedral meshes is guaranteed, accuracy of pretreatment is guaranteed, and meanwhile manual treatment efficiency of pretreatment is improved.
As shown in fig. 4, applied to the structural analysis discrete modeling improvement by the Cutcell technology, a full hexahedral structured grid is adopted in the domain, and manual intervention is hardly required, so that an engineer can be prevented from suffering from grid division. The boundary condition satisfaction is ensured by subdividing and modifying the Cartesian grid on the boundary domain, so that the structural analysis solving analysis requirement is met.
While specific embodiments of the invention have been described above, it will be appreciated by those skilled in the art that these are by way of example only, and that the scope of the invention is defined by the appended claims. Various changes and modifications to these embodiments may be made by those skilled in the art without departing from the spirit and scope of the invention, and these changes and modifications are within the scope of the invention.

Claims (1)

1. A grid discrete improvement method based on Cutcell technology in structural analysis is characterized by comprising the following steps:
s1, carrying out grid division on the structural analysis model by adopting a Cutcell technology according to the set grid size;
s2, directly taking the whole internal grid as a discrete calculation node for the internal grid in the structural analysis model; for external grids outside the structural analysis model, the external grids are not considered; for each boundary grid positioned on the boundary of the structural analysis model, acquiring the coordinates (x) of the center position of the boundary gridi,yi) And the central position of the boundary grid is mapped to the corresponding tangent coordinate at the boundary of the structural analysis model
Figure FDA0002397012680000011
Judgment of
Figure FDA0002397012680000012
If the central position of the boundary grid is located on the outer side of the boundary of the structural analysis model, the boundary grid is subjected to triangular half-and-half subdivision, the triangular grid close to the outer side of the boundary of the structural analysis model is taken as a discrete calculation node, otherwise, the central position of the boundary grid is located on the inner side of the boundary of the structural analysis model, and the whole boundary grid is taken as the discrete calculation node.
CN202010134954.7A 2020-03-02 2020-03-02 Grid discrete improvement method based on Cutcell technology in structural analysis Active CN111353262B (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN202010134954.7A CN111353262B (en) 2020-03-02 2020-03-02 Grid discrete improvement method based on Cutcell technology in structural analysis

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN202010134954.7A CN111353262B (en) 2020-03-02 2020-03-02 Grid discrete improvement method based on Cutcell technology in structural analysis

Publications (2)

Publication Number Publication Date
CN111353262A true CN111353262A (en) 2020-06-30
CN111353262B CN111353262B (en) 2021-06-08

Family

ID=71197191

Family Applications (1)

Application Number Title Priority Date Filing Date
CN202010134954.7A Active CN111353262B (en) 2020-03-02 2020-03-02 Grid discrete improvement method based on Cutcell technology in structural analysis

Country Status (1)

Country Link
CN (1) CN111353262B (en)

Citations (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN1858937A (en) * 2006-04-30 2006-11-08 西安电子科技大学 Automatic lattice dividing method for analyzing multiple antenna and scatterer structure by method of moment
CN101930495A (en) * 2010-09-25 2010-12-29 西安电子科技大学 Planar slot array antenna mechanical and electronic comprehensive analysis method based on grid conversion
CN102129715A (en) * 2011-03-24 2011-07-20 山东大学 Generation method of quadrilateral grid of geometric model with any internal feature constraints
CN106202728A (en) * 2016-07-12 2016-12-07 哈尔滨工业大学 Based on Micro CT D braided composites non-homogeneous Voxel grid discrete method
CN107729286A (en) * 2017-09-06 2018-02-23 广东电网有限责任公司电力科学研究院 A kind of flow process numerical discretization schemes based on unstrctured grid
US10121279B1 (en) * 2014-07-14 2018-11-06 Ansys, Inc. Systems and methods for generating a mesh
CN110824558A (en) * 2019-11-20 2020-02-21 中国石油大学(华东) Seismic wave numerical simulation method

Patent Citations (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN1858937A (en) * 2006-04-30 2006-11-08 西安电子科技大学 Automatic lattice dividing method for analyzing multiple antenna and scatterer structure by method of moment
CN101930495A (en) * 2010-09-25 2010-12-29 西安电子科技大学 Planar slot array antenna mechanical and electronic comprehensive analysis method based on grid conversion
CN102129715A (en) * 2011-03-24 2011-07-20 山东大学 Generation method of quadrilateral grid of geometric model with any internal feature constraints
US10121279B1 (en) * 2014-07-14 2018-11-06 Ansys, Inc. Systems and methods for generating a mesh
CN106202728A (en) * 2016-07-12 2016-12-07 哈尔滨工业大学 Based on Micro CT D braided composites non-homogeneous Voxel grid discrete method
CN107729286A (en) * 2017-09-06 2018-02-23 广东电网有限责任公司电力科学研究院 A kind of flow process numerical discretization schemes based on unstrctured grid
CN110824558A (en) * 2019-11-20 2020-02-21 中国石油大学(华东) Seismic wave numerical simulation method

Non-Patent Citations (2)

* Cited by examiner, † Cited by third party
Title
代星 等: "《复杂边界几何体的结构网格生成方法》", 《计算机辅助设计与图形学学报》 *
庞盛永: "《基于STL的CutCell笛卡尔网格生成算法及应用》", 《中国优秀硕士学位论文全文数据库工程科技Ⅰ辑》 *

Also Published As

Publication number Publication date
CN111353262B (en) 2021-06-08

Similar Documents

Publication Publication Date Title
GB2547816B (en) Actually-measured marine environment data assimilation method based on sequence recursive filtering three-dimensional variation
CN108717493B (en) Two-dimensional area automatic decomposition method for structured quadrilateral mesh generation
CN106683171A (en) GPU multi-thread texture mapping SystemC modeling structure
CN111597631B (en) Automobile wind resistance coefficient optimization method based on self-adaptive agent model
US9183328B2 (en) Method and apparatus for modeling interactions of the fluid with system boundaries in fluid dynamic systems
CN105550691A (en) Self-adaptive valley and ridge line extraction method and system based on scale space
CN106951610B (en) Rice transplanter seedling box structure optimization method based on approximate model
Li et al. Multidiscipline topology optimization of stiffened plate/shell structures inspired by growth mechanisms of leaf veins in nature
NL2023815B1 (en) Numerical simulation method for unstructured grid tides and tidal currents based on gpu computation technology
CN115201902A (en) Fault intelligent identification method and system based on deep learning
CN111353262B (en) Grid discrete improvement method based on Cutcell technology in structural analysis
CN115630438A (en) Method and device for calculating rigidity of automobile opening and closing member based on CATIA secondary development and storage medium
US20160140255A1 (en) Method and apparatus for modeling deformable body by fusing surface particles and internal skeletal structure
CN106200279A (en) A kind of method of sampling for lithography layout OPC and device
Brock et al. Adjoint-based design optimization using CAD parameterization through CAPRI
CN113505830B (en) Rotary machine fault diagnosis method, system, equipment and storage medium
CN108280265A (en) Distortion of the mesh interpolation method, system and medium based on novel radial basis function
CN110796735A (en) NURBS curved surface finite element plate shell mesh division method and computer implementation system
CN114170245A (en) Cellular lung lesion segmentation method based on SAA-Unet network
CN115272594A (en) Iso-surface generation method based on geotools
CN107832512A (en) A kind of computational methods of Curvature varying complexity
CN110211230B (en) Space planning model integration method and device, computer equipment and storage medium
CN113869350A (en) Ocean current prediction method and system based on spatial feature difference
CN113505550A (en) Fluid-filled pipeline noise simulation prediction method and system considering fluid-solid coupling
EP4094177A1 (en) System and method for fatigue response prediction

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
CB02 Change of applicant information
CB02 Change of applicant information

Address after: 201206 Shanghai, Pudong New Area, China (Shanghai) free trade zone, new Jinqiao Road, No. 13, building 2, floor 27

Applicant after: Shanghai suochen Information Technology Co., Ltd

Address before: 201204 building 27, Lane 676, Wuxing Road, Pudong New Area, Shanghai

Applicant before: SHANGHAI SUOCHEN INFORMATION TECHNOLOGY Co.,Ltd.

GR01 Patent grant
GR01 Patent grant