39 results about "Macroscopic model" patented technology

The present invention discloses a system and method for evaluating urban road traffic zone servings levels based on actual measurements, belonging to urban road traffic management and control technique field. The technical project is that the system includes a microcomputer type microscopic traffic stream parametric synthesis measuring device, a remote management system, a background analysis software system, a zone traffic status modeling system, a traffic data information platform, and a zone traffic dynamic evaluation system. The method includes mounting the microcomputer type microscopic traffic stream parametric synthesis measuring device at site to collect the field data of coil, microwave and the like, transmitting the data to a data center through a network or communication, then implementing a series of analysis processes to the data to obtain intermediate and macroscopic models and parameters of the zone traffic status, and finally implementing the dynamic evaluation and emulation verification of the zone traffic status to provide safeguards for the harmonization operation of the urban traffic management.

The invention discloses a method for simulating dendritic crystal growth of a laser welding pool. The method is characterized by comprising the following steps of 1, simplifying conditions and initializing a microcosmic model; 2, establishing a macroscopic model of the temperature gradient and propulsion speed; 3, establishing a phase-field model of dendritic crystal growth; 4, carrying out macroscopic-microcosmic coupling calculation; and 5, carrying out analog computation and exporting results. According to the method, the simulation of the dendritic crystal growth and evolution in the solidification process of the laser welding pool can be quantitatively carried out, the dendritic crystal growth process in the solidification process of the laser welding pool can be dynamically reproduced, so that deepening understanding of the microstructure evolution mechanism of the laser welding pool is facilitated, and a foundation is laid for researching the solidification process of the laser welding pool and optimizing the welding process.

The invention provides a test mold for corrosion of reinforced concrete and a stress monitoring method for a corrosion process. The stress monitoring method comprises the following steps: firstly, producing an experimental test mold which takes a concrete test sample with reinforcing steel bars as a main part, wherein a micro-strain gage with a wire is arranged inside the reinforcing steel bar; secondly, enabling a CCD camera and a strain acquisition instrument to be communicated for respectively monitoring the outer part and the inner part of a reinforced concrete specimen; obtaining a strainvalue of the reinforced concrete specimen by processing and conversing of a digital image correlation system. The monitoring method has the advantages of lower requirements on measuring environment and vibration isolation, high controllability and short cycle of finishing single test; the reinforced concrete specimen has the advantages of easiness in processing and preparation, small occupied space, low cost and simple preparation; in addition, full-field real-time monitoring of the corrosion in the whole life cycle of a reinforced concrete specimen structure can be carried out, and an overall macroscopic model can be obtained. The stress monitoring method for the corrosion process, disclosed by the invention, can be carried out in a laboratory, or can be combined with engineering practice for real-time monitoring, and provides a novel measurement method for structural safety evaluation.

The invention relates to a simulation method used for predicting the heat condition parameter of a high-temperature waste gas circulation sintering process. The simulation method adopts the following technical scheme that a microscopic single-particle micro-unit mechanism model is established, a macroscopic material layer mathematic model of the high-temperature waste gas circulation sintering process is established on the basis of the microscopic single-particle micro-unit mechanism model, heat effects, including water migration, limestone decomposition, coke powder burning and the like, which obviously affect a sintering process are solved through the microscopic mechanism model, a calculation result is weighted as the mass resource item and the heat source item of the macroscopic model so as to more approach to a practical sintering process on an aspect of the mechanism, and therefore, simulation precision is improved. The simulation method is used for solving the problems of low accuracy, long simulation time and low efficiency of a traditional simulation way.

The invention discloses a method for evaluating damage and fatigue life of a microscopic-macroscopic scale sheet metal forming process model. According to the method of the invention, a microscopic plastic constitutive model is established and macro geometry is coupled; furthermore sheet metal forming process simulation is performed; based on sheet metal forming process simulation, a microscopic-macroscopic coupling fatigue damage model is established for performing fatigue life simulation; a sheet metal forming process and a fatigue failure mechanism are researched, thereby supplying theoretical guidance and technology optimization basis for engineering application. Sheet metal forming process material performance and plastic deformation evolution distribution are researched in a microscopic aspect. Influence and contribution degree of microscopic characteristics such as crystal grain size and orientation distribution and precipitated phase distribution to the sheet metal forming process are researched. Furthermore the macroscopic model and process researching fatigue damage are coupled, and the component fatigue life is evaluated. The invention provides the reliable high-efficiency calculating model and the evaluating method. Establishment of the related model and the algorithm has important science innovation and high engineering application value.

The invention discloses an origin-destination (OD) estimation method for the traffic demand of a port roadway based on freight processes. The method is based on an activity theory, the entire freight logistics procedure is taken as a research unit, the main traffic generation and attraction point of a harbor district is taken as a starting point, and the typical freight logistics procedure of cargo vehicles in the harbor district is taken as an analysis object. Under the precondition of obtaining these basic data which are the basic parameters of the storage yards of the harbor district, the flow rate of each egress and ingress sluice gate in the harbor district and the collecting and distributing proportion of a dock roadway, the cargo quantity of each storage yard and the cargo collecting and distributing quantity of the dock roadway are estimated, the attraction intensity of each sluice gate, each storage yard and each dock in the harbor district is analyzed, the selective probability of different travelling routes of different freight process modes is also calculated, the generation and attraction quantity of each OD pair of the harbor district is estimated so as to obtain an OD matrix for the traffic generation and attraction of a port roadway, finally a macroscopic model of the harbor district is constructed by utilizing a VISUM, the OD of the harbor district is inversed according to the measured flow rate, and the relative error of the OD matrix and the OD is compared so as to verify the reliability of model estimation.

The invention relates to a multi-scale correlation method for a proton exchange membrane fuel cell. The method is characterized in that complicated physical and chemical phenomena such as coupled mass and heat transfer, an electrochemical reaction and the like in the proton exchange membrane fuel cell are subjected to modeling of macroscopic sizes of a monocell and parts as well as microscopic scales of a gas diffusion layer, a catalytic layer and a proton exchange membrane which have a micron structure, a submicron structure and a nano-porous structure respectively, multi-scale correlation and simulation. A fractal-based modeling method proposed by the invention adopts a mechanism modeling method in microscopic scale, so that a model is clear in physical meaning and high in accuracy. A parameter transmission method is adopted for coupling of a microscopic model and a macroscopic model, so that multi-scale correction of a transmission mechanism in the monocell can be realized, the defect that existing multi-scale simulation calculation is complicated can be made up for, the transmission mechanism in the proton exchange membrane fuel cell can be understood more essentially and objectively, and a brand-new means is provided for exploring an optimal porous layer microstructure and optimization design of the porous layer microstructure.

The invention relates to a crowd evacuation macroscopic model-based T junction evacuation simulation method. The method comprises the following steps of 1) building an Aw-Rascle crowd dynamic model; 2) based on the Aw-Rascle crowd dynamic model, introducing an influence matrix of an intersection region, and building a T junction crowd evacuation macroscopic model; and 3) based on the T junction crowd evacuation macroscopic model, performing numerical simulation, and displaying a simulation result. Compared with the prior art, the method has the advantages that actual conditions are met; a critical value of density can be quickly identified; a high-risk region can be located; and the like.

The invention discloses a method for electromagnetic non-destructive detection of microstructure of a dual-phase steel. The method provided by the invention establishes a microstructure-initial permeability / resistivity-electromagnetic signal-temperature relationship database through a finite element microscopic and macroscopic model, and can directly predict the microstructure composition of the dual-phase steel through the measured electromagnetic signal, thereby determining the mechanical properties and quality of steel products, so that compared with the destructive detection method, the method provided by the invention is simple and efficient and capable of online monitoring in real time with true and accurate result and representative, and the database can be quickly and repeatedly used once established and can be updated and expanded according to the actual production situation. The method provided by the invention reveals the physical connection between the microstructure and the electromagnetic signal, realizes the detection under high temperature at the same time, and lays the foundation for realizing the microstructure of the steel for electromagnetic signal monitoring aswell as real-time feedback, dynamically adjusting production and cooling parameters.

The invention provides a method oriented to land utilization and traffic multi-scale simulation, and belongs to the technical field of urban planning. The method is characterized in that a macroscopic model is combined with a microscopic model on the basis of a land utilization and traffic integration theory, a system dynamics model theory, an irregular cellular automata model theory and a scenario planning theory, and urban social economic data is adopted, so that urban land evolution and traffic system evolution can be simulated. An aggregation result generated by the macroscopic model is applied to the allocation of the microscopic model in order to construct a model which has a system aspect, an individual aspect and macroscopic and microscopic features and is more accordant with the urban general development law and the people-oriented urban planning thought. A frontier research irregular cellular automata model in the neighborhood of an urban model is combined with a conventional traffic four-phase model in order to construct a microscopic land utilization and traffic integration model based on a specific evolution rule, so that different scenario planning can be analyzed and predicted more specifically.

A statistical timing analysis using statistical timing macro-models considering statistical timing value entries such as input slew and output load is disclosed. That statistical timing analysis calculates a statistical timing quantity based on statistical timing value entries based on a statistical timing (ST) macro-model of a selected macro of an integrated circuit (IC) design that includes statistical timing quantities as a function of deterministic timing value entries.

The invention discloses a judgment method for dynamic responses of reinforced concrete columns under a blast load. The method comprises the following steps: (1) single macroscopic spring units without physical length are respectively built at two ends of the reinforced concrete columns, and comprise axial springs and shearing springs; (2) an area surrounded by stirrups in the cross sections of the reinforced concrete columns is delimited as a core concrete area; an area at the periphery of the core concrete area is a periphery concrete area; the core concrete area and the periphery concrete area are respectively calculated to obtain stress-strain relationship curves of the axial springs and the shearing springs; (3) an axial pressure-axial deformation relationship curve of the axial springs and a shearing force-shearing deformation relationship curve of the shearing springs are obtained to build a macroscopic model which is analyzed by the dynamic responses of the reinforced concrete columns under the blast load. The judgment method can accurately and timely judges the dynamic responses of the reinforced concrete columns under the blast load.

Embodiments of the method and apparatus provide for a macroscopic model for a large system, such as a large software system, having large-scale behavior that considers a totality of the large system. Also provided are macroscopic attributes of the system. The macroscopic attributes are at least one of logical temperature, logical pressure, logical volume and entropy.

The invention relates to a T-junction crowd evacuation stability prediction method and prediction device. The T-junction crowd evacuation stability prediction method comprises the following steps: constructing a panic crowd evacuation macroscopic model of a T-junction; based on the Lyapunov stability and the macroscopic model, obtaining a feature value of the crowd evacuation balance state; addingdisturbance information, and obtaining an acceleration critical value according to the characteristic value and the disturbance information; and predicting the crowd evacuation stability according tothe relationship between the acceleration critical value and the current acceleration of the crowd. Compared with the prior art, the method has the advantages of high accuracy and reliability and thelike.

The invention discloses a multi-scale coupling method and device for layered burnup of dispersion fuel and poison particles. The method comprises the steps of: constructing a microscopic fine model according to geometric parameters of a rod bundle lattice cell model; carrying out neutron transport calculation on the microscopic fine model to obtain effective multiplication factors of the microscopic fine model; mixing poison particle balls with SiC matrices according to the effective multiplication factors to obtain a microscopic equivalent uniform model and effective shares of the poison particle balls; taking the rod bundle lattice cell model as a macroscopic model, and mixing poison particle balls and the SiC matrices in fuel rods according to the effective shares to obtain effective multiplication factors and average flux of the fuel rods; carrying out burnup calculation according to the effective multiplication factors and the average flux, counting important burnup data such as N, n, and phi, and achieving multi-scale coupled burnup calculation. According to the invention, a macroscopic rod bundle lattice cell model is mixed according to the microcosmic equivalent uniform model, the calculation efficiency is improved, and the method can be widely applied to the field of nuclear engineering.

The embodiment of the invention discloses a crowd-creation space address selection method, a device, equipment and a storage medium. The method comprises the steps: querying the basic condition information of the open address of the crowd-creation space; inputting the basic condition information into a data macroscopic model to obtain a first score of an open address; if the first score reaches afirst set qualified score, querying cost information corresponding to the opening address; inputting the cost information into an operation budget model to obtain a second score of the opening address; if the second score reaches a second set qualified score, determining a third score of the opening address based on the basic condition information, the cost information and preset policy requirement information; and if the third score reaches the third set qualified score, evaluating the operation foreground information of the opening address based on the first score, the second score and the third score, and determining the opening address as the final opening address of the crowd-creation space. Therefore, the site selection of the crowd-creation space can be quickly and accurately completed, and a large amount of manpower work can be reduced.

The invention discloses a fuel cell performance prediction method and device, electronic equipment and a storage medium, and the prediction method comprises the steps: obtaining a plurality of GDLs with different performances, and reconstructing the GDLs into corresponding GDL models; analyzing the GDL models based on a hole scale model and a lattice Boltzmann method to obtain performance parameter information of each GDL model; importing the performance parameter information into the fuel cell model; acquiring and analyzing the cell performance information of the fuel cell model; and guiding the GDL to adjust or select an optimal GDL model based on the battery performance information. According to the method, a microcosmic model and macroscopic model association system is realized, microcosmic and macroscopic characteristics of the fuel cell are systematically integrated, the performance of the fuel cell can be accurately predicted, and a prediction result can be used as a research and development adjustment basis or a selection basis of the fuel cell.

The embodiment of the invention mainly aims to provide a two-dimensional macroscopic visual displacement experimental device and a use method thereof, so as to realize an experimental means for observing a displacement mechanism of a heavy oil reservoir through a flat tempered glass macroscopic model. In order to achieve the purpose, the two-dimensional high-temperature and high-pressure macroscopic visual displacement simulation experiment system for the thickened oil comprises a multi-element thermal fluid injection device, a macroscopic simulation experiment device, a visual data acquisition device and a metering device. The characteristics of the heavy oil reservoir are fully considered, convenience is provided for researching a heavy oil displacement mechanism through a macroscopic experiment, oil displacement mechanism research of an oil reservoir environment with top water, edge water and bottom water can be simulated, heavy oil reservoir displacement effect research under different well pattern arrangements can be carried out, and the method has the advantages of being low in experiment cost, high in working efficiency and the like and is suitable for popularization and application. And the requirements of heavy oil reservoir development and research can be met.

The invention belongs to the technical field of cross-scale numerical simulation, and particularly relates to a cross-scale numerical simulation method based on a micro-nano groove wall surface slip effect. The method comprises: firstly using a particle Boltzmann method considering the rarefaction effect used for simulating near-wall area flow, training a substitution model based on a large amountof simulation data, and accurately reproducing the flow characteristic of the micro-nano groove surface structure through the model; and then applying the proxy model as a corrected wall surface condition to the boundary of a macroscopic model, and performing numerical simulation on subsonic velocity and transonic velocity flow by using an RANS or LES method in macroscopic simulation, thereby providing a simulation method for flow control by applying a micro-nano groove structure in the field of aircraft design, realizing cross-scale simulation, and greatly improving calculation efficiency.

The invention provides a multi-dimension numerical value simulation method oriendted to carbon fiber reinforcing composite material drilling. The method is characterized in that firstly substrate, fiber micro-mechanical constitutive and macro-mechanical constitutive modeling are conducted; secondly, macroscopic damage judgment is conducted, and information of a damage point is output; thirdly, a Python file is called to conduct micro-mechanical modeling analysis on the damage point; fourthly, data of micro-mechanical modeling analysis is utilized to calculate the effective rigidity of the point, and a macro-mechanical model is returned; fifthly, multi-dimension numerical value simulation system development and model evaluation are conducted. According to the multi-dimension numerical value simulation method oriented to carbon fiber reinforcing composite material drilling, full consideration is given to the difference between fiber and the substrate and the precision and efficiency of simulation. A carbon fiber reinforcing composite material drilling multi-dimension numerical value simulation method is provided.

A model reduced-order calculation method of a parallel NTFA theory based on ABAQUS comprises the steps of firstly constructing a three-dimensional RVE mesoscopic model; based on ABAQUS secondary development, utilizing a restart analysis function of ABAQUS, introducing a macroscopic false model, providing a parallel multi-scale coupling calculation method; based on initial space-time dependency of plastic strain, performing decomposition calculation on the initial space-time dependency, obtaining a system matrix through MATLAB programming, and carrying out secondary development on the ABAQUS, reading RVE plastic information obtained in the offline analysis stage of the mesoscopic model, and simultaneously solving and calculating the macroscopic model and the mesoscopic RVE in combination with a parallel double-scale theory. According to the method, on the premise that high precision is guaranteed, the problems existing in the prior art are well solved, and when the engineering problems of complex model structure and many variables are calculated, the calculation efficiency can be effectively improved through the method.

The invention discloses a method for evaluating damage and fatigue life of a micro-macro scale sheet metal forming process model. The invention establishes a microscopic plastic constitutive model and couples macroscopic geometry, and at the same time simulates the sheet metal forming process. On this basis, establishes a micro-macrocoupling fatigue damage model for fatigue life prediction, and explores the sheet metal forming process and fatigue failure mechanism. The application provides theoretical guidance and basis for process optimization. Explore the distribution of material properties and plastic deformation evolution in the sheet metal forming process from a microscopic perspective; study the influence and contribution of microscopic features such as grain size, orientation distribution, and precipitated phase distribution on the sheet metal forming process; further couple macroscopic models and processes to study fatigue damage and assess component fatigue life. The invention is a reliable and efficient calculation model and evaluation method, and the establishment of related models and algorithms has important scientific innovation and engineering application value.

Embodiments of the method and apparatus provide for a macroscopic model for a large system, such as a large software system, having large-scale behavior that considers a totality of the large system. Also provided are macroscopic attributes of the system. The macroscopic attributes are at least one of logical temperature, logical pressure, logical volume and entropy.

The invention relates to an elastic-medium active-source and passive-source mixed-collection seismic-data full-waveform inversion method. The method comprises the following steps of firstly, carryingout seismic interference processing on collected passive source elastic multi-component seismic data and acquiring four different modes of virtual gun multi-component records; then, dividing each twoof the different modes of virtual gun records into one group, and carrying out elastic-wave multi-component independent wavelet inversion; and finally, using a cross selection method, and using high-quality Vp and Vs macromodels as the initial models of missing low-frequency active-source elastic-wave multi-component full-waveform inversion so as to carry out inversion iteration. Through passive-source elastic multi-component seismic record and active-source seismic record serial processing, the low frequency missing series problems of the inversion can be overcome and accurate detail and deepportion construction information can be acquired, the macroscopic and detail construction information of longitudinal and transverse wave speed models can be well depicted, the cyclic skipping problem of the inversion is greatly alleviated, and finally, accurate macroscopic construction and accurate detail construction information are possessed.

The invention discloses an origin-destination (OD) estimation method for the traffic demand of a port roadway based on freight processes. The method is based on an activity theory, the entire freight logistics procedure is taken as a research unit, the main traffic generation and attraction point of a harbor district is taken as a starting point, and the typical freight logistics procedure of cargo vehicles in the harbor district is taken as an analysis object. Under the precondition of obtaining these basic data which are the basic parameters of the storage yards of the harbor district, the flow rate of each egress and ingress sluice gate in the harbor district and the collecting and distributing proportion of a dock roadway, the cargo quantity of each storage yard and the cargo collecting and distributing quantity of the dock roadway are estimated, the attraction intensity of each sluice gate, each storage yard and each dock in the harbor district is analyzed, the selective probability of different travelling routes of different freight process modes is also calculated, the generation and attraction quantity of each OD pair of the harbor district is estimated so as to obtain an OD matrix for the traffic generation and attraction of a port roadway, finally a macroscopic model of the harbor district is constructed by utilizing a VISUM, the OD of the harbor district is inversed according to the measured flow rate, and the relative error of the OD matrix and the OD is compared so as to verify the reliability of model estimation.

The invention belongs to the technical field of cross-scale numerical simulation, and specifically relates to a cross-scale numerical simulation method based on the sliding effect of micro-nano groove walls. The present invention first utilizes the particle Boltzmann method considering the rarefaction effect to simulate the flow in the near-wall region, trains the replacement model based on a large amount of simulated data, and accurately reproduces the flow characteristics of the micro-nano groove surface structure through the model. Then the proxy model is applied as a modified wall condition on the boundary of the macro model, and the subsonic and transonic flows are numerically simulated by the RANS or LES method in the macro simulation, so as to apply the micro-nano groove structure for the aircraft design field. Control provides simulation methods that enable cross-scale simulations and greatly improve computational efficiency.

According to the asphalt mixture three-dimensional numerical model cross-scale analysis method based on shape function interpolation, a complete asphalt pavement macro-micro cross-scale analysis process is established, and the relation between the mechanical property of a macroscopic asphalt pavement layered structure material and corresponding asphalt mixture micro-geometric distribution characteristics and component characteristics is explored; on the basis of a shape function interpolation theory and a finite element analysis method, an effective macroscopic-microscopic displacement transmission method for the finite element three-dimensional model of the asphalt pavement is provided, and macroscopic displacement-microscopic displacement cross-scale transmission calculation of the finite element model of the asphalt pavement is realized. Corresponding shape functions and proportion parameters can be selected based on geometrical characteristics and interpolation precision of the macroscopic-mesoscopic three-dimensional model, and the problem of downscaling displacement transmission of the three-dimensional model is solved; in consideration of actual geometric distribution characteristics and component characteristics of the mesoscopic mixture, on the basis of homogenization calculation, upscaling calculation of physical and mechanical characteristics of a macroscopic model homogeneous material from actual material geometric distribution characteristics and component characteristics of the mesoscopic model of the asphalt mixture is completed.

The invention provides a hyperelasticity constitutive model modeling method of a rubber material. The method comprises the following steps: firstly, providing an influence model of a polymer molecular chain volume; secondly, improving an eight-chain model and providing a probability density function caused by topological constraints; then, establishing a relation between microscopic deformation and macroscopic deformation of a molecular chain and deducing a strain energy density function of the rubber material accordingly to obtain a non-affine hyperelasticity constitutive model. The established hyperelasticity constitutive model of the rubber material considers the influences on the polymer molecular chain volume, non-affine deformation and the topological constraints and a physical relation between a macroscopic model parameter and a microscopic molecular structure is established, so that the essence of polymer macromolecular mechanic deformation can be more deeply reflected and the hyperelasticity property of the rubber material in a multifunctional structure can be more accurately simulated.