39 results about "Multiscale modeling" patented technology

The invention relates to a skeletal muscle mechanical behavior multiscale modeling method and aims at solving the problem in the prior art that a complete process from cell electrophysiologic action potential activation to skeletal muscle mechanical output cannot be simulated. The method comprises the steps of S1, determining positions and attitudes of muscle fibers; S2, establishing a skeletal muscle macroscopic geometric model and a skeletal muscle microcosmic geometric model according to the S1; S3, carrying out grid division on the geometric models established in the S2; S4, carrying out skeletal muscle electrophysiologic property modeling according to the S3; S5, carrying out multiscale calculation between cells and muscle tissues according to the S3 and S4; S6, establishing a skeletal muscle multiscale biomechanics model according to the S5; and S7, predicting muscular force according to the S6. The method is applied to the field of biomedical engineering.

The invention provides a weld box section steel joint multi-scale finite element modeling method. The weld box section steel joint multi-scale finite element modeling method includes: S1, selecting an element type combination used for multi-scale modeling from ANSYS finite element software; S2, performing initial geometric modeling on weld box section steel joints; S3, guaranteeing correct directions in a spatial structure for rod pieces by adjusting direction points of all the rod pieces; S4, deleting redundant portions at intersections of the rod pieces, which run through the interiors of the rod pieces, so as to conform to characteristics of weld sections among all the rod pieces; S5, assigning solid element attributes to one third of the length of each rod piece in a complete geometric model of the steel joints, assigning beam element attributes to two thirds of the length of each rod piece in the complete geometric model of the steel joints, and dividing coarse grids and fine grids so as to obtain a multi-scale finite element model of the steel joints. The weld box section steel joint multi-scale finite element modeling method is provided according to unique advantages of the multi-scale finite element model, assists a structural health monitoring system, obtains local detail information of the weld box section steel joints, simulates structural real behavior, and guarantees structural safety.

The invention discloses a multi-scale modeling method for gradient nano twin crystals. The multi-scale modeling method comprises the following steps: constructing a cellular cube model of a crystal; constructing a mirror symmetry model of the cellular cube model, and combining atomic coordinate files of the two to construct a twin crystal model; taking the Y-axis coordinate value of the center atom of the twin boundary of the twin crystal model as a fixed intermediate value, performing interval division on the Y-axis coordinate values of all atoms in the atom coordinate file of the twin crystal model, and deleting all atoms outside the interval to obtain three twin crystal models with different lengths along the Y axis; taking the three twin crystal models with different lengths and the central point coordinate file of each orientation grain structure as seed points to generate three nano twin crystal models with different twin crystal densities; and obtaining a gradient nano-twin crystal atomic structure model for the three nano-twin crystal models with different twin crystal densities by adopting crystal grain selective deletion and model splicing modes.

Simulation systems, manufacturing systems, software products and controllers are provided with multi-scale modeling in which a coarse mesh and a fine mesh that models a stimulus are decoupled. The fine mesh can be moved within the coarse mesh with a cut and paste operation. The coarse mesh is updated by sparsely propagated effects through the coarse mesh. Simulations of the invention can be conducted in real-time, and be used as controllers in manufacturing systems, such as additive manufacturing systems. A number of efficient methods are provided for solving meshing determinations that arise from movement of a stimulus modeled within a fine mesh.

The invention discloses a multi-scale modeling and calculating method for an aluminum electrolysis aluminum oxide particle dissolving process. The method comprises the following steps that a three-dimensional calculation geometric model of a certain industrial aluminum electrolysis cell is established and mesh generation is carried out; a mesoscale mathematical model for accurately describing bubble coalescence and breaking behaviors in a aluminum electrolysis cell melt is established; three-dimensional space gas-liquid interphase acting force data borne by the melt in the aluminum electrolysis cell is precisely exported, and coupling and nesting treatment are carried out on the three-dimensional space data of the electromagnetic force and the gas-liquid interphase acting force borne by the melt; and a multi-scale liquid-solid two-phase flow model for describing the dissolution process of alumina particles in the aluminum electrolysis cell is constructed, and multi-phase flow, multi-physical field action, interphase heat and mass transfer, alumina particle ball shrinkage behaviors and the like are coupled. The method can accurately calculate and predict the dissolution behavior ofthe aluminum oxide particles in the large industrial aluminum electrolysis cell, has good applicability and generalization performance, is beneficial to scientifically guiding the optimal design of the industrial aluminum electrolysis aluminum oxide feeding process, and provides theoretical guidance for the efficient and stable production of the actual aluminum electrolysis cell.

The invention discloses a module transfer method based on multiscale modeling. The method comprises the following steps: collecting original spectra of a host instrument and a slave instrument; by combining the characteristic of wavelet basis and the characteristic of the original spectrum of a sample, selecting the optimal wavelet basis to carry out wavelet multiscale decomposition on the spectrum to obtain wavelet coefficient; reconstructing the wavelet coefficient; respectively performing multivariate calibration on each layer of reconstructed spectrum; setting up a prediction model based on partial least squares method and leaving one cross-validation method for the spectrum after performing multivariate calibration to obtain a cross-validation root-mean-square error of the prediction model; performing model fusion on the prediction model by using weight number, and calculating the prediction root-mean-square error and related coefficient to evaluate the model transfer effect. Compared with a conventional model transfer method, the method greatly improves the model transfer efficiency and performance, and can be widely applied to fields of near-infrared and Raman spectrum.

The invention discloses a multi-scale modeling and calculation method for the dissolution process of aluminum electrolytic alumina particles, which establishes a three-dimensional computational geometric model of an industrial aluminum electrolytic cell and performs grid division; establishes an accurate description of the coalescence and coalescence of bubbles in the melt of the aluminum electrolytic cell The mesoscopic-scale mathematical model of crushing behavior; accurately derive the three-dimensional gas-liquid phase force data on the melt in the aluminum electrolytic cell, and couple and embed the three-dimensional space data of the electromagnetic force on the melt and the gas-liquid phase force Set processing; build a multi-scale liquid-solid two-phase flow model describing the dissolution process of alumina particles in the aluminum electrolytic cell, coupling multi-phase flow, multi-physics field effects, heat and mass transfer between phases, and the shrinkage behavior of alumina particles. The method of the present invention can accurately calculate and predict the dissolution behavior of alumina particles in large-scale industrial aluminum electrolytic cells, has good applicability and popularization, and is helpful to scientifically guide the optimization design of industrial aluminum electrolytic alumina blanking process. Provide theoretical guidance for efficient and stable production of actual aluminum electrolytic cells.

The invention discloses a converter multi-scale modeling method based on microscopic and macroscopic description. The converter multi-scale modeling method comprises the steps: 1) selecting a topological structure and an auxiliary circuit of a converter, and analyzing the to-be-observed scale of the converter; (2) determining a level needing to be developed in research, and selecting a multi-scalecomponent according to the level; 3) selecting a physical field factor according to the converter operation environment; 4) determining a research mode by utilizing the information; 5) selecting components and nodes for multi-scale observation, and respectively setting a consistency observation point, a reliability observation point and a corresponding error rate delta; and (6) judging an error between the macroscale and a set reference value through an observation point, switching the microscale for calculation when the error of the macroscale is greater than a set error rate delta, and correcting parameters of the macroscale by utilizing an obtained result to finish data conversion between the scales. According to the converter multi-scale modeling method, the coupling relation betweentransient dynamic characteristics of all components and circuits is introduced into modeling of the power electronic converter, and accurate simulation, control and reliability analysis of the systemare achieved.

The invention relates to a skeletal muscle mechanical behavior multiscale modeling method and aims at solving the problem in the prior art that a complete process from cell electrophysiologic action potential activation to skeletal muscle mechanical output cannot be simulated. The method comprises the steps of S1, determining positions and attitudes of muscle fibers; S2, establishing a skeletal muscle macroscopic geometric model and a skeletal muscle microcosmic geometric model according to the S1; S3, carrying out grid division on the geometric models established in the S2; S4, carrying out skeletal muscle electrophysiologic property modeling according to the S3; S5, carrying out multiscale calculation between cells and muscle tissues according to the S3 and S4; S6, establishing a skeletal muscle multiscale biomechanics model according to the S5; and S7, predicting muscular force according to the S6. The method is applied to the field of biomedical engineering.

A multi-scale modeling method for power electronic converters based on coarse and fine scale transformation. Firstly, a single-scale model of power electronic converters at different scales is established to obtain the expression of multi-scale processes at different scales; then, based on wavelet multi-scale The coarse and fine scale transformation in the analysis theory reconstructs the multi-scale process in the power electronic converter, and integrates the expression of the multi-scale process in different scale models; then finds the correlation function between variables on different scales, and establishes different scale models Inter-coupling relationship; finally, the expression of the reconstructed multi-scale process is substituted into the single-scale model or coupling relationship, and the model or coupling relationship is corrected, thus obtaining the required multi-scale model. Compared with the traditional single-scale modeling, the method of the present invention can reflect the dynamic characteristics of the power electronic converter on multiple scales and can reflect the changes in the dynamic characteristics of the converter when considering the phenomena on multiple scales at the same time, and the simulation results are more accurate. fit the actual situation.

The invention relates to a attitude control feedback loop based on a combined fixed attitude of a multi-rate sensor, which comprises an attitude sensor subsystem, an attitude determining subsystem based on multi-scale modeling, and an attitude control subsystem, wherein the attitude sensor subsystem comprises a gyro, a solar sensor and a magnetometer and outputs attitude measurement information with multi-rate characteristics; the attitude determining subsystem is used for describing measurement information of each sensor from different scales by using a multi-scale analyzing method and estimating the satellite attitude angle on the basis of the established multi-scale model; and the attitude control subsystem is used for controlling the satellite attitude and feeding the controlled attitude information back to the attitude sensor subsystem so as to form the attitude control loop. The attitude control feedback loop is used for carrying out multi-scale modeling by using the multi-scale analyzing method, thereby improving the attitude determining precision while reducing the complexity of an attitude combining and fixing process.

The invention provides a multi-scale finite element modeling method for welded box-section steel nodes, including: S1, selecting unit type combinations for multi-scale modeling in ANSYS finite element software; S2, for welding box-section steel nodes Carry out preliminary geometric modeling; S3. Ensure that the direction of the rods in the space structure is correct by adjusting the direction points of each member; S4. Delete the redundant parts where the intersections of the rods penetrate each other inside the rods to meet the requirements of each rod The characteristics of the welded section between the joints; S5. Assign solid element attributes to the 1 / 3 length of each member in the complete geometric model of the node, and assign the beam element attribute to the 2 / 3 length, and perform rough mesh and fine mesh division to obtain multi-scale nodes Finite element model; the present invention combines the unique advantages of the multi-scale finite element model, proposes a multi-scale finite element modeling method for welded box-section steel nodes, assists the structural health monitoring system, obtains local detail information of welded box-section nodes, and simulates structures Authentic behavior to ensure structural safety.

The invention discloses a dimensional emotion recognition method based on multi-scale time series modeling. The method includes the following steps: performing face detection and tracking for each frame of images in a video sequence, and extracting face key points as a first type group Face features; extract the gray values ​​of the pixels in the face area image, the face mouth area image and the face eye area image as the second, third and fourth groups of face features; The four categories of facial features are used to perform preliminary dimensional emotion prediction; according to the initial emotion prediction results of consecutive N unit time periods t, the linear regression is used to perform time series and modal fusion, and output the emotional prediction value of the video sequence. The method of the invention performs time sequence modeling of different scales on the video sequence signal, and realizes accurate prediction of each time sequence unit in the sequence. The invention is suitable for emotion recognition of face signals in videos, and has the advantages of good real-time performance, and can greatly improve recognition accuracy.

The present invention provides a volume model construction method including multi-scale topography features, starting from point cloud processing technology and volume model construction technology, based on the measured surface topography data, multi-scale decomposition and combination of the measured surface topography data The frequency analysis method is used to identify the data components of different scales; the processed data is constructed using the reverse engineering modeling method to build a volume model; it can identify point cloud data of different scales and perform multi-scale modeling according to the analysis requirements; In the modeling process, 3D modeling is carried out in a more intuitive way, and Boolean operations can be performed on the generated volume model, which solves the problem of bolt holes, grooves, etc. on volume models with surface topography to a certain extent. The construction problem of complex features.