39 results about "Macroscopic model" patented technology

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.

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 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.

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.

The present invention relates to a kind of evacuation simulation method of T-shaped intersection based on crowd evacuation macroscopical model, comprise the following steps: 1) establish Aw-Rascle crowd dynamics model; 2) On the basis of described Aw-Rascle crowd dynamics model, introduce intersection The influence matrix of the area is used to construct a macroscopic model of crowd evacuation at the T-shaped intersection; 3) numerical simulation is performed based on the macroscopic model of crowd evacuation at the T-shaped intersection, and the simulation results are displayed. Compared with the prior art, the present invention has the advantages of conforming to the actual situation, being able to quickly identify the critical value of the density, and completing the positioning of the high-risk area.

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.

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.