CN110706353A - Parametric modeling method of device skin self-supporting structure - Google Patents

Parametric modeling method of device skin self-supporting structure Download PDF

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CN110706353A
CN110706353A CN201910975351.7A CN201910975351A CN110706353A CN 110706353 A CN110706353 A CN 110706353A CN 201910975351 A CN201910975351 A CN 201910975351A CN 110706353 A CN110706353 A CN 110706353A
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周士奇
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Abstract

The invention discloses a parametric modeling method for a self-supporting structure of a device skin, which relates to the technical field of auxiliary building design, and is used for determining the outer contour of the device skin and converting the outer contour surface into a surface to be processed, which can be subjected to optimization processing; carrying out triangular mesh subdivision and smoothing processing on the surface to be processed by using a set algorithm; performing mechanical analysis on the structure by using a mechanical analysis algorithm; based on the results of the triangular mesh subdivision and smoothing processing, generating a triangular panel and hems thereof, punching, and numbering the triangular panel and each hems; and based on a set algorithm, arranging all the triangular panels into a set aluminum plate specification to the maximum extent. The invention carries out parametric modeling by utilizing the visual characteristic of the grasshopper operation process, and can dynamically display the parameter adjustment process from design, mechanical analysis to auxiliary processing blanking by matching with the plug-in the grasshopper, thereby realizing the goal of parametric modeling.

Description

Parametric modeling method of device skin self-supporting structure
Technical Field
The invention relates to the technical field of auxiliary building design, in particular to a parametric modeling method for a device skin self-supporting structure.
Background
With the improvement of the technology and the improvement of the saving consciousness, the structural design with beautiful shape, reasonable structure and environmental protection in the field of device design is developed rapidly. The self-supporting structure of the skin is a space structure similar to a vault. Compared with the traditional artistic device skin, the novel steel keel folding device does not need complicated steel keels for structural support, and based on the principle of maximizing the overall double curvature of the surface or the volume, the self-stability of the structure is realized through the active tension and the interaction force between the triangular metal panels, and the triangular plate folding technology is creatively provided through mechanical calculation to replace complicated space keels, so that the overall structure is further reinforced. Because of a series of advantages of reasonable structural characteristics, flexible adaptability to designed shapes, attractive appearance, high efficiency of processing and construction and the like, the method is widely applied to buildings, landscape works and artistic devices at home and abroad. Meanwhile, the whole design to the processing is realized by means of digital accurate simulation and processing, so that the manual error caused by manual forging in the traditional process is avoided, and the requirement of a designer on the completeness of the scheme is further improved.
Disclosure of Invention
Aiming at the problems that the skin of the existing art device is too dependent on the traditional manual forging technology, the positioning cannot be accurate, the keel is complex, and the appearance is attractive, the invention provides a skin self-structure parametric modeling method, which utilizes parameterization to carry out modeling and blanking, and is based on a grasshopper algorithm module, so that the generation and modification speed of a model is greatly improved, and the work and production efficiency is improved. The specific scheme is as follows:
a parametric modeling method for a device skin self-supporting structure comprises the following steps:
determining the outer contour of the device skin, and converting the outer contour surface into a surface to be processed which can be subjected to optimization processing;
carrying out triangular mesh subdivision and smoothing processing on the surface to be processed by using a set algorithm;
performing mechanical analysis on the structure by using a mechanical analysis algorithm;
based on the results of the triangular mesh subdivision and smoothing processing, generating a triangular panel and hems thereof, punching, and numbering the triangular panel and each hems;
and based on a set algorithm, arranging all the triangular panels into a set aluminum plate specification to the maximum extent.
Further, the triangular mesh subdivision and smoothing processing on the surface to be processed by using the set algorithm includes:
carrying out triangular mesh subdivision and optimization on the surface to be processed, and then carrying out topological subdivision according to a set algorithm;
setting a spring force for each edge of each triangular mesh to enable each edge to interact, setting the included angle and the side length of each triangular mesh to be similar, and restraining the deformation condition of the triangular meshes;
controlling the numerical value of force input to the triangular mesh deformation control by using a genetic algorithm;
and judging whether the triangular mesh fractal result meets the requirements by using a visualization program, and finally confirming the subdivision structure of the triangular mesh.
Further, the step of generating a triangular panel and a hem thereof and making a hole based on the results of the triangular mesh subdivision and smoothing processing, and numbering the triangular panel and each hem simultaneously includes:
determining the size of the folded edge of the triangular panel according to the mechanical analysis result;
the folded edges of the triangular insert plate are integrally arranged in a chamfer rectangle, and a set installation allowance is reserved;
two folding edges which are closest to each other in two adjacent triangular panels are used as a group, and the two folding edges are grouped in pairs;
determining the bending angle of the folded edge;
each triangular panel is sorted in groups from high to low according to the z coordinate of the triangular panel and is marked with a sorting number;
wherein, regard two hems that are nearest apart from in two adjacent triangle panels as a set, include: and (3) taking a middle point of each edge of the triangular panel, connecting the middle point with all the hems, screening out the connecting line with the shortest length, and returning the data of the connecting line to the corresponding hem, namely the hem positioned adjacent to the hem.
Further, based on the grasshopper algorithm module, the parametric modeling method of the skin self-supporting structure of the device comprises the following steps:
s1, determining the outer contour of the device by means of the rhono plug-in Tspine, and converting the nurbs into a mesh surface;
s2, triangular grid subdivision is carried out on the mesh model by means of an insert Ameba of Grasshopper, parameters of the subdivided grid are controlled by a genetic algorithm galapagos in the Grasshopper, and meanwhile, the reasonability of fractal is judged visually by means of a mechanical insert kangro and a well-written visual program;
s3, performing mechanical analysis by using Karamba mechanical plug-in units to ensure the stability of the structure;
s4, folding edges of the triangular panel and forming holes, numbering the panel and each folding edge at the same time, and making the bakes to be in an Rhino space after the steps are completed;
and S5, discharging all the triangular panels into a set aluminum plate specification to the maximum extent by means of a Rhinenest plug-in component for blanking, and avoiding waste of materials.
Further, based on the grasshopper algorithm module, the step S2 specifically includes:
s20, firstly, mesh plane optimization is carried out through smooth commands, and mesh triangle plug-in commands are connected for topology division;
s21, setting the edge of each triangular panel as a spring force by using a Kangroo mechanical plug-in unit, enabling each edge to interact, and regulating the included angle and the side length of each triangular panel to be similar to each other so as to restrict the deformation condition of the triangular mesh;
s22, controlling the value of force input to the control triangle panel deformation through a genetic algorithm plug-in Galapagos plug-in;
and S23, inputting the force value result in the step S22 into a preset visualization program based on a grasshopper platform, wherein in the visualization program, the triangular panels with the areas close to the length of each side can display the same color, and whether the triangular fractal result meets the requirement or not is judged through the change of the color.
Further, the allowance of the set installation allowance comprises that each rectangular triangular panel folded edge is shifted 130 ~ 160mm from the center point of the rectangle to two sides, and a waist opening of 5 ~ 15mm is formed.
Further, the determining the bending angle of the folded edge includes:
and (3) making a perpendicular bisector of the plane of each of the two adjacent hems, making a reverse extension line of each perpendicular bisector, and dividing the intersecting angle of the reverse extension lines by two to obtain the required folding angle of the hems.
Further, in the step S1, the outer contour of the device is determined by means of the rhino plug-in Tspline, including refitting the initial model in the rhino through the Tspline, so that the number of faces of the shape body is reduced as much as possible on the premise of ensuring the effect, preparation is made for next fractal, and meanwhile, the situation that an acute angle occurs between the faces is avoided.
According to the technical scheme, the plug-in Ameba is based on a grasshopper platform, and the plug-in Ameba is mainly used for subdividing and smoothing a model by using a topology optimization algorithm. Galapagos is also a plug-in based on grasshopper, and an optimal solution under the condition of a set value can be simulated by depending on a genetic algorithm, for example, the principle of an annealing algorithm is to continuously take values and input the values into a model, determine an optimal solution interval by simulating the state of the model in real time, further narrow the interval value and finally determine an optimal value. The method for mesh subdivision by the Ameba plug-in the step S2 specifically includes:
1) picking up the mesh model optimized by Tsharp into a grasshopper;
2) opening a subdivision command in the Ameba, and inputting a mesh model into an input end;
3) selecting choosebysize at the Type end, estimating the approximate length according to the size of the model, and inputting the estimated length into the Level end;
4) opening a Galapagos genetic algorithm plug-in the grasshopper, obtaining the optimal parameter of the Level end through the operation of an annealing algorithm in the genetic algorithm, and inputting the optimal parameter to a subdivision command;
5) and running the subdivision command to obtain the next required optimal mesh model.
The Karamba plug-in is a mechanical plug-in based on a grasshopper platform, the stress condition is set, the mechanical stability of the object can be calculated in real time by inputting common parameters in mechanics, and the stress structure of the object can be optimized according to a rendered mechanical graph. The method for performing mechanical analysis by using the karamba mechanical plug-in the step S3 specifically includes:
1) extracting the edge line of the mesh model finally obtained in the step two;
2) opening a linetobeam command in karamba, and converting the edge line into beam;
3) the parameters for support and load are set and then packaged together into an advisorymedel command,
4) obtaining visualized structural data by using modelanalysis and modelview;
5) whether the structure is reasonable can be known through the stress analysis graph, the structure nodes with overlarge stress are modified by combining the analysis graph, and the final form is determined through continuous debugging.
The flanging of the triangular panels in step S4 is a critical structural support, corresponding to the steel keel in conventional devices. The method for generating the triangular panel hem comprises the following steps:
1) opening a wavebird' smeshwindows command in the grasshopper to generate triangles with the interval of about 5 mm;
2) screening two adjacent edges of the triangle and grouping the two adjacent edges of the triangle, wherein the method comprises the following steps: taking a middle point of each edge, connecting the middle point with all the edges, screening out the shortest line, and taking the edge where the returned data is located as the adjacent edge where the data is located;
3) making vertical bisectors of the planes of the adjacent edges, and dividing the intersecting angle by two to obtain the folding angle required by the folded edge;
4) numbering each edge through a TextTag command and marking a bending angle, so that the subsequent processing and assembly are facilitated;
5) grouping all the triangular plates according to the designed circular hole gradual change effect, numbering each triangular plate according to the grouping, and simultaneously forming a circular hole with a corresponding size for each plate by utilizing a hole forming command;
6) and (3) sequentially playing all the boards into a rhinoceros space according to the groups, and establishing layers with different colors for each group.
In step S5, Rhinonest is a plug-in specially designed for blanking based on the grasshopper platform, and functions to discharge the objects to be blanked to the maximum limit within a preset range, so as to ensure the utilization of the processing materials to the maximum extent and avoid waste. Method for discharging all panels in step S5: and sequentially pouring the triangular plates of different groups into a grafshppper according to the sequence of the layers, opening the Rhinenest, flattening all the plates by using a flatten command, then directly inputting the plates to a GEOMETRYNEST command, and clicking to operate after the size of the plates is specified, thus obtaining the triangular plates with the arranged materials.
Compared with the prior art, the invention has the beneficial effects that:
firstly, the method carries out parametric modeling by utilizing the visual characteristic of the grasshopper operation process, can dynamically display the parameter adjustment process by matching with the plug-in the grasshopper from design, mechanical analysis to auxiliary processing blanking, realizes the goal of parametric modeling, can greatly improve the generation and modification speed of the model, and can intensively solve the problems of artificial loss and material waste, thereby greatly improving the working efficiency;
secondly, the invention can be extended to most designed landscape devices, has wide universality, can perfectly fit various conditions of the field only by adjusting partial parameters, brings great convenience to practitioners, and can be extended according to different design requirements to achieve the design purpose. Meanwhile, the size and the positioning of the model can be accurately controlled by the aid of the parameter of the model, workers can conveniently process and construct the model according to numbers, the problems of positioning and field lofting are solved, and the later processing period can be greatly shortened.
Drawings
FIG. 1 is an overall workflow diagram of the present invention;
FIG. 2 is a flow chart of a triangular mesh subdivision and smoothing method;
FIG. 3 is a flow chart of a method for group numbering of gusset folds of a triangular panel;
FIG. 4 is a flowchart of the overall workflow of the invention based on the grasshopper;
FIG. 5a is an original model of a triangle panel, and FIG. 5b is an Ameba plug-in connection diagram;
fig. 6a is a connection diagram of genetic algorithm gallagagos plug-in components, and fig. 6b is a real-time effect of optimization simulation when galagagos software is operated, and the operation result is displayed by color change in cooperation with a written visualization program;
FIG. 7 is a drawing of a Karamba mechanical plug-in connection in Grasshopper;
FIG. 8 is a view of the attachment of an insert to create a gusset of a triangular panel;
FIG. 9a is a drawing of a connection of inserts grouped by circular holes, and FIG. 9b is a drawing of a connection of inserts with holes cut in the circular holes;
FIG. 10a is an insert connection diagram of panel group numbering, and FIG. 10b is an example display of top panel numbering;
FIG. 11a is a first portion of a panel numbering insert connection diagram and FIG. 11b is a second portion of a panel numbering insert connection diagram;
FIG. 12 is a diagram of the final simulated model effect;
fig. 13a is a connection diagram of blanking inserts of a triangular panel, and fig. 13b is a CAD drawing of a blanking diagram of one of the layers.
Detailed Description
Before describing the above method steps, one skilled in the relevant art will recognize that, depending on the circumstances: the following steps may be optionally performed; the following steps are not limited to the specific order specified herein; the following steps may be performed in a different order; the following steps may be performed simultaneously.
The present invention will be described in further detail with reference to examples and drawings, but the present invention is not limited to these examples.
A parametric modeling method for a device skin self-supporting structure, as shown in fig. 1, comprising the steps of:
determining the outer contour of the device skin, and converting the outer contour surface into a surface to be processed which can be subjected to optimization processing;
carrying out triangular mesh subdivision and smoothing processing on the surface to be processed by using a set algorithm;
performing mechanical analysis on the structure by using a mechanical analysis algorithm;
based on the results of the triangular mesh subdivision and smoothing processing, generating a triangular panel and hems thereof, punching, and numbering the triangular panel and each hems;
and based on a set algorithm, arranging all the triangular panels into a set aluminum plate specification to the maximum extent.
In the foregoing step, as shown in fig. 2, the performing triangular mesh subdivision and smoothing on the to-be-processed surface by using a setting algorithm includes:
carrying out triangular mesh subdivision and optimization on the surface to be processed, and then carrying out topological subdivision according to a set algorithm;
setting a spring force for each edge of each triangular mesh to enable each edge to interact, setting the included angle and the side length of each triangular mesh to be similar as much as possible, and restraining the deformation condition of the triangular meshes;
controlling the numerical value of force input to the triangular mesh deformation control by using a genetic algorithm;
and judging whether the triangular mesh fractal result meets the requirements by using a visualization program, and finally confirming the subdivision structure of the triangular mesh.
In the above step, as shown in fig. 3, the generating a triangular panel and its hems and making holes on the basis of the results of the triangular mesh subdivision and smoothing processing, and numbering the triangular panel and each hems at the same time includes:
determining the size of the folded edge of the triangular panel according to the mechanical analysis result;
the folded edges of the triangular insert plate are integrally arranged in a chamfer rectangle, and set installation allowance is reserved among the folded edges;
two folding edges which are closest to each other in two adjacent triangular panels are used as a group, and the two folding edges are grouped in pairs;
determining the bending angle of the folded edge;
each triangular panel is sorted from high to low according to the z coordinate of the triangular panel and is marked with a sorting number.
Wherein, regard two hems that are nearest apart from in two adjacent triangle panels as a set, include: and (3) taking a middle point of each edge of the triangular panel, connecting the middle point with all the hems, screening out the connecting line with the shortest length, and returning the data of the connecting line to the corresponding hem, namely the hem positioned adjacent to the hem.
The reserved set installation allowance comprises that each rectangular triangular panel folded edge is deviated from the center point of the rectangle to two sides by 130 ~ 160mm, and a waist opening of 5 ~ 15mm is formed.
The method for determining the folding angle of the folded edge comprises the following steps: and (3) making a perpendicular bisector of the plane of each of the two adjacent hems, making a reverse extension line of each perpendicular bisector, and dividing the intersecting angle of the reverse extension lines by two to obtain the required folding angle of the hems.
In the invention, based on the grasshopper platform, parameter modeling can be performed very visually by means of various functional tools, namely functional plug-ins, and by combining set implementation steps.
As shown in the overall workflow diagram of fig. 4, this is a parameterized modeling method for a device skin self-structure system based on a grasshopper platform, and its steps are as follows:
s1, determining the outer contour of the device by means of the rhono plug-in Tspine, and converting the nurbs into a mesh surface;
s2, triangular mesh subdivision is carried out on the mesh model by using the plug-in Ameba, and parameters of the subdivided mesh are controlled by a genetic algorithm galapagos;
s3, performing mechanical analysis by using Karamba mechanical plug-in units to ensure the stability of the structure;
s4, folding edges of the triangular panel and forming holes, numbering the panel and each folding edge at the same time, and making the bakes to be in an Rhino space after the steps are completed;
s5, with the help of rhinonexst inserts, all triangular panels are maximally arranged into the set aluminum plate format.
5. The method for parametric modeling of the skin self-supporting structure of the device according to claim 4, wherein based on the grasshopper algorithm module, the step S2 specifically comprises:
s20, firstly, mesh plane optimization is carried out through smooth commands, and mesh triangle plug-in commands are connected for topology division;
s21, setting the edge of each triangular panel as a spring force by using a Kangroo mechanical plug-in unit, enabling each edge to interact, and regulating the included angle and the side length of each triangular panel to be similar to each other so as to restrict the deformation condition of the triangular mesh;
s22, controlling the value of force input to the control triangle panel deformation through a genetic algorithm plug-in Galapagos plug-in;
and S23, inputting the force value result in the step S22 into a preset visualization program based on a grasshopper platform, wherein in the visualization program, the triangular panels with the areas close to the length of each side can display the same color, and whether the triangular fractal result meets the requirement or not is judged through the change of the color.
According to the technical scheme, the plug-in Ameba is based on a grasshopper platform, and the plug-in Ameba is mainly used for subdividing and smoothing a model by using a topology optimization algorithm. Galapagos is also a plug-in based on grasshopper, and an optimal solution under the condition of a set value can be simulated by depending on a genetic algorithm, for example, the principle of an annealing algorithm is to continuously take values and input the values into a model, determine an optimal solution interval by simulating the state of the model in real time, further narrow the interval value and finally determine an optimal value. The method for mesh subdivision by the Ameba plug-in the step S2 specifically includes:
1) picking up the mesh model optimized by Tsharp into a grasshopper;
2) opening a subdivision command in the Ameba, and inputting a mesh model into an input end;
3) selecting choosebysize at the Type end, estimating the approximate length according to the size of the model, and inputting the estimated length into the Level end;
4) opening a Galapagos genetic algorithm plug-in the grasshopper, obtaining the optimal parameter of the Level end through the operation of an annealing algorithm in the genetic algorithm, and inputting the optimal parameter to a subdivision command;
5) and running the subdivision command to obtain the next required optimal mesh model.
The Karamba plug-in is a mechanical plug-in based on a grasshopper platform, the stress condition is set, the mechanical stability of the object can be calculated in real time by inputting common parameters in mechanics, and the stress structure of the object can be optimized according to a rendered mechanical graph. The method for performing mechanical analysis by using the karamba mechanical plug-in the step S3 specifically includes:
1) extracting the edge line of the mesh model finally obtained in the step two;
2) opening a linetobeam command in karamba, and converting the edge line into beam;
3) the parameters for support and load are set and then packaged together into an advisorymedel command,
4) obtaining visualized structural data by using modelanalysis and modelview;
5) whether the structure is reasonable can be known through the stress analysis graph, the structure nodes with overlarge stress are modified by combining the analysis graph, and the final form is determined through continuous debugging.
The flanging of the triangular panels in step S4 is a critical structural support, corresponding to the steel keel in conventional devices. The method for generating the triangular panel hem comprises the following steps:
1) opening a wavebird' smeshwindows command in the grasshopper to generate triangles with the interval of about 5 mm;
2) screening two adjacent edges of the triangle and grouping the two adjacent edges of the triangle, wherein the method comprises the following steps: taking a middle point of each edge, connecting the middle point with all the edges, screening out the shortest line, and taking the edge where the returned data is located as the adjacent edge where the data is located;
3) making vertical bisectors of the planes of the adjacent edges, and dividing the intersecting angle by two to obtain the folding angle required by the folded edge;
4) numbering each edge through a TextTag command and marking a bending angle, so that the subsequent processing and assembly are facilitated;
5) grouping all the triangular plates according to the designed circular hole gradual change effect, numbering each triangular plate according to the grouping, and simultaneously forming a circular hole with a corresponding size for each plate by utilizing a hole forming command;
6) and (3) sequentially playing all the boards into a rhinoceros space according to the groups, and establishing layers with different colors for each group.
In step S5, Rhinonest is a plug-in specially designed for blanking based on the grasshopper platform, and functions to discharge the objects to be blanked to the maximum limit within a preset range, so as to ensure the utilization of the processing materials to the maximum extent and avoid waste. Method for discharging all panels in step S5: and sequentially pouring the triangular plates of different groups into a grafshppper according to the sequence of the layers, opening the Rhinenest, flattening all the plates by using a flatten command, then directly inputting the plates to a GEOMETRYNEST command, and clicking to operate after the size of the plates is specified, thus obtaining the triangular plates with the arranged materials.
The process of the invention is described below with reference to a specific embodiment, as follows:
as shown in the overall workflow diagram of fig. 4, this is a parameterized modeling method of a skin self-structure system based on the grasshopper platform, and its steps are as follows:
step one, according to the outline of the model set in the rhino, editing in the Tscope plugin by using a mesh tool, optimizing the egg-shaped mesh surfaces from 15 to 8 under the condition of ensuring that the outline of the model is not changed, ensuring that the model can be simplified as much as possible before entering step two, and finally obtaining the effect as shown in figure two b.
Step two, as shown in fig. 5a, picking up the mesh model in the step two into the grasshopper, opening the amaba plug-in, selecting a smooth command, inputting the model to the terminal G, and setting the values of Radius and Size to be 50 and 80, which further optimizes before fractal. And then, setting the number of fractal blocks to be 480 and chamfering to be 90 degrees by using a mestringle plug-in command, and operating the command to obtain an Ameba topology optimized triangular surface.
To further optimize the triangular face fractal, a genetic algorithm is used here for further operations. As shown in fig. 6a, three sides of the triangle are picked up by the weaverbird insert, each side is set to a spring force in the kangaroo mechanical insert, causing each side to interact. The included angle and the side length of each triangle are specified to be similar as much as possible, so that the obtained triangle surface is not too abrupt to influence the overall appearance. The numerical value of the force input to the size of the control triangle can be controlled through a genetic algorithm plug-in Galapagos plug-in, the method is to input the numerical value required to be controlled from the Genome end, and the program is set to be an annealing algorithm in the setting, so that the numerical value can approach the value required by the user as much as possible. In order to make the reflected value be visually embodied, the step is specially written with a set of programs: triangles with areas and lengths of each side close will show the same color as shown in fig. 6 b. The designer can easily judge whether the optimization of the triangle meets the design standard through the color. Only after the colors of the surface triangle basically tend to several colors can a relatively mature model be calculated, so that the optimized triangular fractal model can be obtained through the two-step calculation.
And step three, after the optimized triangular surface is obtained, mechanical analysis is needed to know whether the model meets the condition of stable mechanical structure or not, and whether the whole device can pass various safety specifications or not can be known. As shown in fig. 7, each hem is first set to each stress beam because the hem of the triangle serves as a structural support beam in the structure, so each edge line of the triangle is directly set to the beam bring operation, i.e., the linetobeam command in karamba is opened, and the edge line is converted into beam. Then the landing point is correspondingly set as a support point, the material is defaulted to steel, and the weight of the whole device is estimated to be approximately 8.3KN, and the weight is input into the load bearing capacity. All mechanical data are collected together and input to a plug-in module assembly command, meanwhile, because the plug-in module command is a conventional stress rod model, the cross selection plug-in module command keeps default value input, and only the size of the section of a stress rod needs to be determined, but the cross section is modified according to the subsequent stress analysis, the numerical value input to the section by the model is 30mm by 30mm at the beginning, and the specification of 50mm by 50mm is determined after the mechanical analysis is performed for several times to meet the mechanical condition. After all values are set, a model end is input to a plug-in module analysis mechanical analysis command, then an analysis result is directly input to a plug-in module view command and a beamview command to obtain a visual calculation structure, a designer can directly judge which piece is stressed in a problem mode through the stressed color state displayed by the folded edge, and the situation that stress is overloaded needs to be returned to the previous step for further deepening until the stability of the stressed structure is met. The model is run for three times to finally determine the triangular fractal model finally entering the step four.
And step four, the finally optimized triangular fractal model is obtained, and then the folded edge of the triangular panel is generated. As shown in fig. 8, triangular faces with a distance of 10mm are first generated on the basis of a triangular fractal model by using a weaverbird insert, which is specially reserved for generating a plate thickness of 5mm more by using a 5mm aluminum plate for flanging in the later processing. And then according to the section data obtained in the third step, each side of the triangle generates a rectangular triangular folded edge with the height of 50mm on the respective plane, and simultaneously according to the standard requirement of a building device, a fillet with the radius of 15mm is guided on each side of the rectangle, so that the collision injury of people is prevented. Next, for later fixing by screwing, each rectangular triangular folded edge is shifted from the center point of the rectangle to two sides by a distance of 150mm, and is opened with a waist opening of about 10mm, so that the later fixing by construction can be adjusted after errors occur.
And step five, in order to prevent the double requirements on the damage and the design of the building device caused by the strong wind, all the triangular panels need to be provided with round holes with different sizes. As shown in FIG. 9a, the center store of each triangular panel is extracted and their xyz values are obtained, the triangle is divided into seven layers from high to low according to the value of the z coordinate, and all panels are sorted into 7 corresponding groups. Then, corresponding points are uniformly arranged according to the uv value of the triangular surface of each plate in each group (the value suitable for the model can be obtained by dividing the uv value by 130), and a circle is generated according to the plane where the points are located, wherein the radius of the circle is from the previously determined 7 aperture change values set by the seven layers. After the circular hole triangular panel with 7 hole diameters is obtained, the original triangular panel is punched through a surfacinsit plug-in, and as shown in fig. 9b, the triangular panel with the punched holes for blanking numbers is obtained.
And step six, grouping and numbering the perforated triangular panels after the triangular panels are obtained for later processing and installation positioning. As shown in fig. 10a, because the panels are divided into seven layers, the numbering on the major group begins with ABCDEFG, after which all panel numbers for each layer are numbered sequentially according to the number of panels. Taking the group A top panel as an example, the number of the group A panels is obtained by a listlength plug-in command, and the panels are numbered from 1 to the end according to the number. The midpoint of each triangular face is again picked and the A-label is attached to the small number 1, 2, 3 … … of each panel, marking the midpoint of each panel, completing the numbering of the group A top panels, as shown in FIG. 10 b. The next six groups are numbered according to this step.
And seventhly, numbering each folded edge after the panel is numbered integrally, wherein the data of each edge needs two key data of the number of the folded edge and the angle of the folded edge needing to be bent. Because the model is entirely arc-shaped, the folded edges cannot be folded vertically by 90 degrees, but according to the specific situation of each folded edge. All the folded edges of the triangular panel are in adjacent pairwise corresponding relation, namely only two folded edges have the same number and the same bending angle, so that the numbering logic of the folded edges is to find two adjacent folded edges and arrange the two adjacent folded edges into a group for numbering.
As shown in FIG. 11a, the midpoint of each edge is first taken and the length is then measured by connecting all the remaining points with one. The line with the shortest length is screened out and returned to the side where the line is located, namely the adjacent side to be found, and the three sides of the triangle are sequentially subjected to the same screening work to obtain two adjacent sides in one group. As shown in fig. 11b, since the shortest line in the above arrangement appears twice when searching for adjacent edges, the duplicate lines can be deleted using the cullduplications command, thereby completely obtaining a set of adjacent edges in pairs without duplication. Then, the total number of all pairwise groups is counted, and numbers are sequentially generated according to the sequence. The flap numbering is the same logic used to create the panel numbers, as well as finding the midpoint of each flap to fix the number to the midpoint. The method for calculating the folding angle comprises the following steps: and (4) making vertical bisectors of the planes of the two adjacent sides at the middle points of the two adjacent sides, then extending the respective lines in the opposite direction, and dividing the intersected angle by two to obtain the folding angle required by the folding edge. As with the previous numbering, the bend angles are fixed in their respective positions by the TextTag plug-in commands (here, to not coincide with the previous hem marks, a uniform 50mm left offset at the midpoint location ensures that the data do not coincide). Because the plastic spraying treatment is carried out after the processing of the blanked aluminum plate, the numbers are all needed to be punched through the whole folded edge, so that a worker can clearly mount the aluminum plate according to the numbers, and each part after the numbers needs to carry out Boolean operation on the folded edge and the numbers by using a surfcessplit plug-in command to obtain the folded edge with the punched-through number like the fifth step. And finally, sequentially bake all the hems and the triangular plates into the rhino according to the respective levels, wherein the final effect is shown in fig. 9.
Step eight, after all the triangular panels are obtained, the subsequent processing step needs to be considered, and the processing cost is an important link which needs to be considered for the building device, so the purpose of the step is to avoid the waste of the post processing to the maximum extent. As shown in fig. 13a, seven groups of triangles are first picked up in sequence, and the triangles are patted flat to the xy-plane for convenient later layout. And then opening a rhinotest plug-in command, and determining the size of the plate to be blanked, wherein a 1.5m by 3m European-state aluminum plate is selected, a gap of 5mm is set between a triangular plate and the plate, and an error range of 5mm is set between the triangular plate and the edge of the blanking plate. And finally, operating a rhinotest plug-in command to obtain a blanking graph for cutting. And the installation can be cut and installed in the factory after being introduced into the CAD software as shown in FIG. 13 b.
The invention utilizes the visualization characteristic of the grasshopper operation process to carry out parametric modeling, and dynamically displays the parameter adjustment process from design, mechanical analysis to auxiliary processing blanking by matching with the plug-in the grasshopper, thereby realizing the goal of parametric modeling, greatly improving the generation and modification speed of the model and improving the working efficiency.
The method of the invention is used to innovatively provide that the traditional complex steel keel structure is replaced by the triangle folding technology, so that the space in the device is efficiently utilized, a designer has larger space for exerting, meanwhile, on the premise of ensuring the safety, the processing and construction period is greatly shortened, a large amount of welding work on site is reduced, the transportation at the later stage is convenient, and most importantly, the manual consumption and the material loss are well controlled. Thus laying a solid foundation for the popularization of the technology in the market.
The above description is only a preferred embodiment of the present invention, and the protection scope of the present invention is not limited to the above embodiments, and all technical solutions belonging to the idea of the present invention belong to the protection scope of the present invention. It should be noted that modifications and embellishments within the scope of the invention may occur to those skilled in the art without departing from the principle of the invention, and are considered to be within the scope of the invention.

Claims (8)

1. A parametric modeling method for a device skin self-supporting structure is characterized by comprising the following steps:
determining the outer contour of the device skin, and converting the outer contour surface into a surface to be processed which can be subjected to optimization processing;
carrying out triangular mesh subdivision and smoothing processing on the surface to be processed by using a set algorithm;
performing mechanical analysis on the structure by using a mechanical analysis algorithm;
based on the results of the triangular mesh subdivision and smoothing processing, generating a triangular panel and hems thereof, punching, and numbering the triangular panel and each hems;
and based on a set algorithm, arranging all the triangular panels into a set aluminum plate specification to the maximum extent.
2. The method for parametric modeling of the skin self-supporting structure of the device according to claim 1, wherein the triangular mesh subdivision and smoothing of the surface to be processed by using the setting algorithm comprises:
carrying out triangular mesh subdivision and optimization on the surface to be processed, and then carrying out topological subdivision according to a set algorithm;
setting a spring force for each edge of each triangular mesh to enable each edge to interact, setting the included angle and the side length of each triangular mesh to be similar, and restraining the deformation condition of the triangular meshes;
controlling the numerical value of force input to the triangular mesh deformation control by using a genetic algorithm;
and judging whether the triangular mesh fractal result meets the requirements by using a visualization program, and finally confirming the subdivision structure of the triangular mesh.
3. The method of claim 1, wherein the step of generating and perforating triangular panels and flaps thereof while numbering the triangular panels and each flap based on the results of the triangular mesh subdivision and smoothing comprises:
determining the size of the folded edge of the triangular panel according to the mechanical analysis result;
the folded edges of the triangular insert plate are integrally arranged in a chamfer rectangle, and a set installation allowance is reserved;
two folding edges which are closest to each other in two adjacent triangular panels are used as a group, and the two folding edges are grouped in pairs;
determining the bending angle of the folded edge;
each triangular panel is sorted in groups from high to low according to the z coordinate of the triangular panel and is marked with a sorting number;
wherein, regard two hems that are nearest apart from in two adjacent triangle panels as a set, include: and (3) taking a middle point of each edge of the triangular panel, connecting the middle point with all the hems, screening out the connecting line with the shortest length, and returning the data of the connecting line to the corresponding hem, namely the hem positioned adjacent to the hem.
4. The method for parametric modeling of the device skin self-supporting structure according to claim 1, wherein based on the grasshopper algorithm module, the method comprises the following steps:
s1, determining the outer contour of the device by means of the rhono plug-in Tspine, and converting the nurbs into a mesh surface;
s2, triangular mesh subdivision is carried out on the mesh model by using the plug-in Ameba, and parameters of the subdivided mesh are controlled by a genetic algorithm galapagos;
s3, performing mechanical analysis by using Karamba mechanical plug-in units to ensure the stability of the structure;
s4, folding edges of the triangular panel and forming holes, numbering the panel and each folding edge at the same time, and making the bakes to be in an Rhino space after the steps are completed;
s5, with the help of rhinonexst inserts, all triangular panels are maximally arranged into the set aluminum plate format.
5. The method for parametric modeling of the skin self-supporting structure of the device according to claim 4, wherein based on the grasshopper algorithm module, the step S2 specifically comprises:
s20, firstly, mesh plane optimization is carried out through smooth commands, and mesh triangle plug-in commands are connected for topology division;
s21, setting the edge of each triangular panel as a spring force by using a Kangroo mechanical plug-in unit, enabling each edge to interact, and regulating the included angle and the side length of each triangular panel to be similar to each other so as to restrict the deformation condition of the triangular mesh;
s22, controlling the value of force input to the control triangle panel deformation through a genetic algorithm plug-in Galapagos plug-in;
and S23, inputting the force value result in the step S22 into a preset visualization program based on a grasshopper platform, wherein in the visualization program, the triangular panels with the areas close to the length of each side can display the same color, and whether the triangular fractal result meets the requirement or not is judged through the change of the color.
6. The method of claim 3, wherein the step of maintaining the predetermined installation margin comprises the step of forming a waist opening of 5 ~ 15mm by offsetting each rectangular triangular panel flap from the center point of the rectangle to two sides of the rectangle by 130 ~ 160 mm.
7. The method of claim 3, wherein said determining the bending angle of said flange comprises:
and (3) making a perpendicular bisector of the plane of each of the two adjacent hems, making a reverse extension line of each perpendicular bisector, and dividing the intersecting angle of the reverse extension lines by two to obtain the required folding angle of the hems.
8. The parametric modeling method for the skin self-supporting structure of the device according to claim 4, wherein in the step S1, the outer contour of the device is determined by means of a rhino plug-in Tspine, and the step S1 includes re-fitting an initial model in the rhino through Tspine, so that the number of the faces of the shape is reduced as much as possible on the premise of ensuring the effect, preparation is made for next fractal, and meanwhile, the situation that an acute angle exists between the faces is avoided.
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