254 results about "Design domain" patented technology

A method and system for computer aided design (CAD) is disclosed for designing geometric objects. The present invention interpolates and/or blends between such geometric objects sufficiently fast so that real time deformation of such objects occurs while deformation data is being input. Thus, a user designing with the present invention obtains immediate feedback to input modifications without separately entering a command for performing such deformations. The present invention utilizes novel computational techniques for blending between geometric objects, wherein weighted sums of points on the geometric objects are used in deriving a new blended geometric object. The present invention is particularly useful for designing the shape of surfaces. Thus, the present invention is applicable to various design domains such as the design of, e.g., bottles, vehicles, and watercraft. Additionally, the present invention provides for efficient animation via repeatedly modifying surfaces of an animated object such as a representation of a face.

Improved topology optimization for engineering product design is disclosed. An engineering product including a design domain to be optimized is defined. Design domain can be a portion of or the entire engineering product. Design objective and optional constraint are also defined such that optimization goal can be achieved. Additionally, initial configuration of the design domain is represented by a finite element analysis (FEA) mesh. Each element or element group is associated with a design variable. A set of discrete material models is created from the baseline material used for the design domain. The set of discrete material models is configured to cover entire range of the design variable and each discrete material model represents a non-overlapping portion. Each element representing the design domain is associated with an appropriate discrete material model according to the design variable. Structure response of entire engineering product is obtained via FEA to evaluate design objective and update design variable.

The invention applied to the field of computer graphics interface design provides a combination of the interface development system and the control methods. The system's basic interface elements as virtual window, which covers the virtual window attributes, including: size, compared to his father virtual window position for the virtual window marked by the other virtual window contains the attributes and labels used to produce the script callback events. Implementation of this invention virtual window through the use of the unique attributes, use scripting language description of the father and son relationship between virtual window, space and function call location, convenient, speedy realization of the existence of multiple virtual window splicing into a new, more functional powerful virtual window, thus enhancing the control of the expansion and reuse, an increase of the types of controls, making the development of the interface flexibility and development efficiency has been greatly increased.

The invention discloses a page design method and a system for a dynamic publishing website, and belongs to the field of web page design. According to the invention, through adding a template file, page display and data are separated. In case of page information request from a user, a server searches a template and information data respectively, and then the information data and the template are combined and returned to the data. In addition, the user can edit the template without the participation of a programmer. Through the method and the system, provided by the invention, the user only needs to use a browser to modify the effect of the template online, can rapidly realize various common page effect changes and data adjustment, obtains page updates in real time, and improves the efficiency of page editing.

The invention discloses a cross-domain target detection method based on multilayer feature alignment. The method includes: training a detector on a source domain data set with a frame label through adeep convolutional neural network; then, taking the trained detector as a pre-training model, and carrying out feature extraction on the pictures of the source domain and the target domain without theframe label through a deep convolutional neural network VGG-16 to enable the source domain and the target domain to share feature parameters; secondly, designing a domain classifier, taking the extracted feature layers of the multi-layer source domain and the target domain as the input of the domain classifier, and judging whether the feature layers are from the source domain or the target domain; and aligning the feature distribution of the source domain and the feature distribution of the target domain through the training mode of the generative adversarial network, so as to reduce the datadeviation between the two domains; and finally, carrying out joint training on the detector and the discriminator to obtain a final model. According to the invention, the knowledge of the source domain is migrated to the target domain, and the detection precision of the target domain data without frame annotation is improved.

The invention discloses a topological optimization method based on a meshfree RKPM (reproducing kernel particle method) for a thermal structure of an anisotropic material. The method comprises a step of establishing a meshfree RKPM thermal stiffness matrix of the structure of the anisotropic material with a transformation matrix method, and the step comprises the following sub-steps: (1) solving dynamic influence domain radius of each calculation point according to coordinate information of input nodes and Gaussian points; (2) solving relative density of each RKPM node according to an RAMP (rational approximation of material properties) material interpolation model; (3) searching Gaussian points in a design domain, and establishing thermal conductivity tensor of each node according to the thermal conductivity of the anisotropic material, an orthotropic factor and a material direction angle; (4) taking a dot product of a thermal conductivity coefficient matrix and a geometric matrix of each node as an RKPM thermal stiffness matrix of the node; (5) forming the integral RKPM thermal stiffness matrix in the design domain. According to the method, topological optimization of the thermal structure of the anisotropic material is performed on the basis of the meshfree RKPM, the transformation matrix method and the RAMP material interpolation model, and the numerical stability is high.

The invention provides an automobile suspension key structure element optimization design method, which comprises the following steps of: building a suspension system kinetic model according to a pre-determined suspension system development scheme, and obtaining an equivalent load of a suspension structure element connecting point under a typical work condition; building a suspension system mechanism kinetic model, and determining an initial design domain of a development structure element; building a limited element analysis model of the initial design domain of the development structure element; obtaining the material distribution of the development structure element and determining a basic topological configuration of the development structure element; obtaining a conceptual design model of the development structure element; and obtaining each parameter optimum scheme of the conceptual design model of the development structure element and an optimization design model. When the embodiment of the invention is implemented, the development period of the suspension key structure element can be effectively shortened; and the reference can be provided for the optimization design of other system parts of an automobile.

The invention discloses a BIM (Building Information Modeling) technology based bridge three-dimensional design method. The method comprises the steps of: extracting three-dimensional space coordinates of an equal division point of a central line of a bridge surface and determining the position of a central point of the control cross section of a bridge pier; generating a bridge surface section shape at the equal division point and the central line of the bridge surface according to the three-dimensional space coordinates of the equal division point of the central line of the bridge surface, and determining a control cross section shape of the bridge pier according to the position of the central point of the control cross section of the bridge pier; generating a bridge surface structure according to the bridge surface section shape at the equal division point and the central line of the bridge surface, and generating a bridge pier structure according to the central point of the control cross section of the bridge pier and the control cross section shape of the bridge pier; and combining the generated bridge surface structure and bridge pier structure to obtain a complete bridge three-dimensional model. The method solves the problem in the prior art that corresponding BIM models cannot be established for bridges with deformed and curved structures, is wide in application range, improves the design efficiency, provides basic model support for bridge construction and operation and maintenance management, and can be widely applied to the field of bridge aided design.

The invention relates to the field of product design and discloses a product innovation designing method based on a problem solving process. The method comprises the following steps of: establishing a product designing method knowledge base by using a currently recognized product designing method; assisting the product development by using the problem solving process; stimulating designer creativity by using a cognitive theory, product knowledge and design information; and assisting the designer to finish the product innovation design in the problem solving process. The method has four steps of finding the problem, analyzing the problem, solving the problem and evaluating the solution. Three methods of a product oriented method, a market oriented method and a technology oriented method are adopted in the step of finding the problem. A QFD (Quality Function Deployment) analysis method is adopted in the product oriented method in the step of analyzing the problem; and a problem system modeling method is adopted for the problem oriented conflict. In the problem solving step, a body analysis module is first adopted; and then methods of direct calculation, knowledge guide, thinking guide, group solving, technology guide, heuristic approach and the like are adopted for solving the problem. Therefore, the efficiency and quality are improved in the problem solving process.

The invention belongs to the technical field of structure optimization, and discloses an isogeometric material density field structure topology optimization method. The method comprises the steps of (a) giving a design domain to serve as an object to be optimized, and constructing an NURBS curved surface corresponding to the design domain; (b) calculating an isogeometric material density distribution field of the NURBS curved surface, establishing a structural optimization design model of a design domain, enabling the design domain to still meet the structural rigidity performance requirementwhile the size is reduced, and defining the design model to obtain the density corresponding to each control vertex in the design domain; and (c) establishing an optimization criterion to update the density and converge the density so as to obtain the density corresponding to each point in the required design domain, thereby realizing the topological optimization of the isogeometric material density field structure. By means of the topological optimization method, the structural optimization design is effectively achieved, the common chessboard problem, grid dependence, the island phenomenon and other numerical instability problems in topological optimization design are eliminated, the topological optimization structure is smoother, and the optimization solving efficiency is improved.

The invention discloses a micro-truss structure carrying and thermal protection structure multi-objective optimization method, and belongs to the field of spacecraft instrumentation overall design andmultifunctional structure material design. A flow channel is introduced into a micro-truss sandwich structure, multi-objective optimization of temperature and stress is realized by thermal transfer and force transfer coupling calculation, and final design meets a design process and the lightest front edge structure of a design boundary. The problem of thermal mechanical coupling under practical working conditions is taken into full consideration, the influence of the temperature on strength is introduced, processing technology boundary conditions are considered, and optimum structural designis realized by an optimization algorithm. The method is simple and effective, optimum design can be realized by small calculated amount, and time and cost consumed by trial and errors are greatly reduced.

A method is disclosed of providing an optimal minimum mass topology for a structure based on a set of design criteria including at least one support point and at least one force to be applied to the structure. The method includes the steps of: identifying a plurality of nodes within a structure design domain, and assigning an initial density value to said plurality of nodes; conducting a finite element analysis on the nodes; determining one of a stress intensity or strain energy values for each node; ranking the nodes by relative stress intensity or strain energy values; adjusting the density value for each node; and repeating the steps of conducting a finite element analysis on said nodes, wherein the step of adjusting each density value for each node is performed according to a family of statistical distribution functions that gradually transition to a bimodal distribution wherein nodes are either fully dense or effectively void thereby providing an optimal topology.

The invention discloses a design method for ODE physical engine-based vehicle terrain trafficability simulating and analyzing components, and relates to a design method of the vehicle terrain trafficability simulating and analyzing components and aims at solving the problems that a large amount of manpower, material resources and financial resources are consumed in the prior art and the research efficiency is low and the period is long in the prior art. The method comprises the following steps: step one, reading terrain elevation data expressed by the SEDRIS (synthetic environment data representation and interchange specification) standard; step two, building a three-dimensional terrain model by reading the terrain elevation data; step three, building a vehicle model for simulating a real vehicle; step four, finishing analyzing the trafficability of the vehicle according to the basic parameters of a vehicle model of the real vehicle; step five, encapsulating the vehicle trafficability analyzing procedure as a trafficability effect component by utilizing a resource encapsulating tool of HIT-TENA. The design method is applied to the design field of the vehicle terrain trafficability simulating and analyzing components.

The invention, which relates to the task planning design field, provides an improved-firefly-algorithm-based multi-unmanned-aerial-vehicle cooperative coupling task distribution method. A hybrid discrete firefly algorithm with a special coding-decoding structure is provided; and on the basis of the study on multi-unmanned-aerial-vehicle cooperative task distribution with a time coupling constraint and a special coupling constraint simultaneously, a mathematic model is put forward and task resolving is carried out. The method provided by the invention has high universality. On the basis of the analysis of data obtained by multi-times simulation and verification, the model is perfected, the iterative process becomes short, and the convergence speed is fast. The multi-unmanned-aerial-vehicle cooperative task distribution plan is expressed effectively by means of segmented integer coding by using minimization of the maximum range of the unmanned aerial vehicle as an overall optimization objective; and an optimal solution is searched in the solution space based on an improved DE-DFA algorithm, so that a multi-unmanned-aerial-vehicle task distribution problem in a coupling task environment is solved and a solution is provided for solving a multi-unmanned-aerial-vehicle task distribution problem in a coupling task environment.

A vehicle bumper structure optimization method based on a particle swarm optimization algorithm includes the steps that bumper modeling is carried out, simulation analysis of strength working conditions and low-speed collision working conditions is carried out, a simulation model is obtained, sampling is carried out in an optimization design domain, and an approximation model is established; global sensitivity analysis is carried out on an established objective function according to a sensitivity analysis technology, and key variables are obtained; the optimization design domain is recognized according to a data mining technology to obtain a supplement zone; sampling is carried out in the optimization design domain and the supplement zone, and after the particle swarm optimization algorithm is run to obtain an optimization result, the optimization result is rounded into an engineering value to obtain an optimized bumper structure. By means of the method, optimization difficulty brought by strong nonlinearity of the collision working conditions and a large number of check working conditions is overcome, and the efficiency of optimizing the carbon fiber composite bumper structure is improved.

The present invention discloses an optimum design method of micro-electronic packaging device, based on an artificial neural network. The method comprises the following steps: (1) the user provides the parameter design space and the optimum design objective of the device to be designed, and the sample used for training the artificial neural network; (2) the training adopts a neural network of forward error and converse transmission, which is improved by main component analysis and genetic algorithm, and constructs a neural network model with a system reflecting the relation between the input and the output; (3) the trained neural network model is used as an observation tool of optimum design for observing the influence of the parameters on the optimum objective and selecting the optimum combination; (4) the proper optimum combination of the parameters is selected according to the feasibility of materials and technologies. The optimum design method solves the design problem of reliability of material collocation and size collocation, suits the optimum design of different types of packaging devices, and can be applied to the field of optimum design of various categories of multi-objective or multi-factor complex systems.

The invention discloses a system and method for visually and dynamically configuring and generating diagrams. The system comprises a visual edition interface, an operation behavior monitor and a configuration parameter verification unit, wherein the visual edition interface is provided with a form configuration area, a diagram rendering area and a code display area. The method comprises the following steps of: loading and rendering a corresponding parameter configuration area according to basic configuration parameters input by a basic configuration area; monitoring diagram configuration parameters determined and input in a form in the form configuration area; rendering a corresponding diagram by the diagram rendering area according to the monitored diagram configuration parameters; and generating and displaying a corresponding configuration code by the configuration code display area according to the monitored diagram configuration parameters. The system and method are convenient andrapid to operate, is suitable for being used by front end-free development basic personnel, and is capable of reducing the threshold of front end diagram configuration generation operations and extending function points of visual front end configuration tools. The system and method for visually and dynamically configuring and generating diagrams can be widely applied in the field of front end design.

Provided is a particle swarm optimization algorithm based lightweight car body structure implementation method. The method comprises: by carrying out high-precision finite element modeling and collision condition simulation analysis on a specified car body, carrying out sampling on a obtained 40% frontal offset collision simulation model in a optimization problem design domain, establishing a Kriging approximation model, and using a deterministic coefficient to carry out precision verification on the Kriging approximation model, so as to obtain a high-precision Kriging approximation model; and identifying a constraint domain with a lower violation degree by using a data mining technology, obtaining an optimization result by using a particle swarm optimization algorithm, rounding the optimization result to a project value, and verifying whether the project value meets a collision condition requirement through finite element simulation calculation, so as to obtain an optimized lightweight car body design structure of collision condition. The method disclosed by the present invention operates efficiently, and can provide a high-precision lightweight body design approximation model.

The invention discloses a multi-component structural system distribution optimized design method based on a KS function, which is used for solving the technical problem that the conventional multi-component structural system distribution optimized design method brings large quantities of constraint equations. The invention adopts the technical scheme that all the component interference constraint equations are integrated to one or more constraint equations, and in addition, the integrated constraint equations can satisfy constraint surely. The number of geometry constraint (i.e. constraint equations) in the multi-component structural system distribution optimized design can be greatly reduced. According to the embodiment of the multi-component structural system distribution optimized design of a suspension beam structure, four components are provided, the components 1-4 respectively use 2, 3, 1 and 3 circumcircle affinities, and a design domain edge uses 4 circumcircle affinities; by applying the method of citing reference, 30 constraint equations are needed to be led in, and the optimization can not be performed, while by applying the method, only 2 constraint equations are needed, and the optimization can be performed smoothly.

The optimal design support system is to design a structure that outputs a desired load or displacement to a portion by using elastic deformation when a load or displacement is applied to a predetermined portion. More specifically, the optimal design support system comprises a structure creating part 11 that creates a structure FM as being an integrated structure of multiple mutually different types of elements by changing a material layout within a design domain D so as to minimize the difference between the output load or displacement and the desired load or displacement and to maximize the stiffness of the object globally, an initial shape setting part 12 that sets a feasible initial shape IS corresponding to the function of each element which forms the structure FM, and a shape changing part 13 that changes the initial shape IS so as to minimize the difference between the displacement, the load, a related stress or a related strain and a predetermined target value within a range where any parts of the initial shape IS deforms elastically.