115 results about "Static simulation" patented technology

The invention discloses a speed reducer gear box lightweight design method based on topological optimization, and relates to the technical field of gear box optimization. A processing end establishes a three-dimensional parameterized geometric model, performs finite element mesh generation on the geometric model, optimizes material distribution of the geometric model based on a topological optimization algorithm, and optimizes the material distribution of the geometric model; a topological optimization result is parameterized into geometric features, a random generation tool is used for generating a plurality of initial variable sets, a genetic algorithm is used for outputting an optimal variable set, a geometric model is reconstructed according to the topological optimization result and a genetic algorithm result, and after dynamic-static simulation is conducted on the reconstructed geometric model, the optimal variable set is obtained. And evaluating whether the performance of the reconstructed geometric model reaches the standard or not, and if not, optimizing genetic algorithm parameters according to an evaluation result and then cyclically reconstructing the geometric model until the performance of the reconstructed geometric model reaches the standard. The design system intelligently optimizes a local high-stress area, so that the lightweight requirement is met, and meanwhile, the strength and rigidity balance of the structure is ensured.

The invention discloses a supercritical carbon dioxide pipeline transportation simulation method and device. The method comprises the following steps: acquiring physical property data of the supercritical carbon dioxide pipeline; correcting the unit of the physical property data; obtaining a preset steady-state calculation formula; correcting a partial derivative formula in the preset steady-state calculation formula to obtain a corrected steady-state calculation formula; and inputting the physical property data after unit correction into the corrected steady-state calculation formula, and carrying out steady-state calculation so as to realize static simulation of supercritical carbon dioxide pipeline transportation. According to the scheme provided by the invention, by correcting the physical property unit in the steady-state calculation formula and correcting the partial derivative formula of the unit mass flow rate of the energy equation part in the steady-state calculation formula on the fixed distance, the correctness of steady-state data of supercritical carbon dioxide during pipeline transportation is ensured.

The invention discloses a shield segment heterogeneous modeling crack and limit simulation method. The method comprises the following steps: constructing an aggregate three-dimensional model database; generating a heterogeneous aggregate accumulation model; establishing a concrete shield segment three-dimensional model; defining a model material constitutive relation and a damage criterion; setting an equivalent field staged loading working condition and a boundary condition; grid division and nonlinear static simulation solution are carried out; and constructing a crack response monitoring and output module, and executing judgment of a structure limit state. High-precision construction and multi-stage loading simulation of a shield segment model are realized by reconstructing a concrete microstructure and steel bar arrangement information and combining a field loading force value and a boundary condition; and a nonlinear material constitutive and damage evolution criterion is introduced, the whole-process response of the crack is captured, a limit state criterion is set, and automatic identification and damage form judgment of the bending resistance limit load are completed. According to the method, a technical path capable of being popularized is provided for shield segment structure performance evaluation, ultimate bearing prediction and a crack control strategy.

The invention relates to the technical field of electric power engineering, in particular to a simulation method of a power station motor high-oil-pressure jacking hydraulic system, which comprises the following steps: building a high-oil-pressure jacking hydraulic simulation system which comprises a control module, a constant-pressure variable pump, a pressure release valve, a measuring element, an oil tank, an equivalent load, an equivalent hydraulic cylinder and a pressure release hole; the equivalent hydraulic cylinder is used for jacking up the equivalent load and simulating a real scene that the motor is jacked up by high-pressure oil; theoretical modeling is conducted on a frame and all parts of the high-oil-pressure jacking hydraulic simulation system; by establishing a linkage mechanism of the equivalent area, the pressure and the flow of the pressure relief hole, pressure fluctuation and compensation response during working condition conversion are accurately simulated; smooth transition between the static jacking state and the operation pressure maintaining state is achieved, and the stability and the self-adaptive capacity of the system under the variable rotating speed condition are effectively verified. Compared with traditional static simulation, the whole process of the hydraulic and mechanical coupling effect in actual operation is reflected more comprehensively.

The invention discloses a gradient negative Poisson's ratio non-pneumatic tire rigidity prediction method which comprises the following steps: creating a negative Poisson's ratio non-pneumatic tire model in finite element simulation analysis software, setting material attributes of a negative Poisson's ratio non-pneumatic tire, carrying out grid division on the model, establishing a static force general analysis step in an analysis step module of the software, and carrying out static force general analysis on the negative Poisson's ratio non-pneumatic tire. Setting load and boundary conditions; carrying out static simulation analysis on the non-pneumatic tire, and researching the influence of structural parameters on the performance of the negative Poisson's ratio non-pneumatic tire; carrying out sensitivity analysis on the rigidity of the tire according to four structural parameters of the tire, namely the gradient of the support body, the thickness of the support body, the thickness of the tread and the thickness of the reinforcing layer; establishing a BP neural network model to predict the radial rigidity of the tire; according to the method, the relationship between the structural parameters of the negative Poisson's ratio non-pneumatic tire and the radial stiffness of the tire is searched by utilizing the BP neural network, the radial stiffness value can be quickly and accurately predicted, the step of finite element simulation analysis and calculation is omitted, and the efficiency is greatly improved.

The invention belongs to the technical field of airdrop and special vehicles, and particularly discloses a wheel type airdrop vehicle parachute opening impact strength simulation evaluation and optimization method and system. Comprising the following steps: performing parachute opening dynamics simulation to obtain an accurate boundary of parachute opening strength impact simulation; performing whole vehicle parachute opening strength dynamic simulation analysis to obtain an analysis result of vehicle body strength and deformation, evaluating the analysis result, outputting design parameters if the analysis result meets requirements, and otherwise, performing failure reason analysis; air-drop system modal analysis is added, and failure reasons are judged; according to failure reasons, partial grids are intercepted or static simulation is adopted to replace dynamic simulation, and a reduction optimization model is obtained; and based on HyperStudy, carrying out multi-objective optimization according to the structural characteristics of the parts of the failure parts and failure reasons. According to the method, high-precision calculation of the re-loading air-drop process of multi-stage parachute opening of multiple parachutes is achieved, and scientific optimization of the parachute opening strength structure of the air-drop vehicle is achieved by optimizing the simulation means.

The invention belongs to the technical field of slurry shield slurry film forming, and particularly relates to a dynamic earth pressure balance shield slurry film forming test device and a maintenance observation method.The dynamic earth pressure balance shield slurry film forming test device comprises a base assembly, a stratum box assembly, a shield tunneling machine simulation assembly and a driving assembly, and the stratum box assembly, the shield tunneling machine simulation assembly and the driving assembly are all installed on the base assembly; the shield tunneling machine simulation assembly is in butt joint fit with the stratum box assembly, and the driving assembly is connected with the shield tunneling machine simulation assembly and used for driving the shield tunneling machine simulation assembly to excavate and convey slurry. According to the invention, the limitation that only static simulation can be realized in the existing test can be solved, the actual construction working condition is fit, different water pressure stratum environments can be simulated, constant temperature, humidity and pressure of a mud film working environment can be maintained, the reference value of a test result is improved, and full-flow data from film forming to pressure maintaining and visual support are realized, and the performance of the mud film is accurately captured.

The invention discloses a dynamic simulation method of a gas equipment system based on a digital twinning technology, which comprises the following steps of: acquiring typical operation conditions of the gas equipment system, acquiring process design parameters of system equipment parts, establishing a static simulation model of the gas equipment system based on the digital twinning technology, and performing dynamic simulation on the gas equipment system based on the digital twinning technology. Inputting the obtained process design parameters of the system equipment component; creating a dynamic simulation model of the gas equipment system; loading an automatic control program of the gas equipment system to the virtual simulator to form a closed-loop dynamic simulation platform; inputting initial operation conditions of a plurality of typical operation conditions of the gas equipment system into the dynamic simulation model to generate operation result parameter information; adjusting strategy information is generated, the adjusting strategy information is substituted into the dynamic simulation model of the gas equipment system, an optimal adjusting strategy of the gas equipment system is obtained, and an automatic control program of the gas equipment system is adjusted; and the simulation effect is accurate.

The invention relates to the technical field of artificial intelligence, and discloses a science park-oriented AI innovation service and dynamic evaluation system, which comprises the following steps: S1, constructing an entrepreneurship sandbox scene by using a virtual simulation technology, and generating a generative AI-based virtual market environment; s2, acquiring operation behavior data of a user in the entrepreneurship sandbox scene; s3, processing the operation behavior data based on a reinforcement learning model, and generating market feedback data; and S4, analyzing the operation behavior data and the market feedback data according to an entrepreneurship capability evaluation algorithm, and generating a user entrepreneurship capability evaluation report, the step S1 comprising: S101, analyzing real entrepreneurship scene data through a deep learning algorithm, extracting key features, and constructing an entrepreneurship scene database. According to the method, the multi-modal data is analyzed through deep learning to generate the virtual market environment, 4K rendering and dynamic interaction within 300 milliseconds are supported, the method is superior to existing static simulation, and the training authenticity is improved.

The invention belongs to the field of oil and gas development and energy utilization, particularly relates to a dynamic and static coupling simulation method for hydraulic-detonation combined fracturing transformation, and aims at solving the problem that in the prior art, the transformation effect is poor when fracturing transformation is conducted on deep-ultra-deep reservoirs. The method comprises the following steps: constructing a hydraulic-detonation fracturing transformation dynamic and static coupling numerical calculation model; through a discontinuous calculation method, the expansion process of the hydraulic fracturing main fracture under the static condition is simulated, and after the preset main fracture length is reached, static simulation is ended; keeping the model stress and the geometrical shape of the main fracture unchanged, loading detonation shock waves in a preset detonation area, converting a static boundary condition into a dynamic boundary condition, performing detonation pressure fracture network expansion process simulation under the dynamic condition, and after a preset simulation time is reached, ending the dynamic simulation and outputting a fracture network spatial configuration. By means of hydraulic-detonation fracturing dynamic and static coupling simulation calculation, the effect of deep-ultra-deep reservoir fracturing transformation is improved.

The invention provides a clutch friction plate groove shape optimization method, device, equipment and medium, belongs to the technical field of clutch friction plates, and simulates the surface temperature field and stress field distribution of a wet clutch friction pair based on fluid thermosetting coupling simulation; friction heat is simulated through heat-engine coupling of the static simulation module, and the heat is transmitted to the fluid simulation module; convective heat transfer is simulated by utilizing flow-heat coupling of the fluid simulation module, and heat flux is transferred to the statics simulation module; the fluid thermosetting coupling calculation is realized circularly and repeatedly, the influence of different groove shapes on the clutch is analyzed according to the temperature information, the strength information and the heat exchange information, the most appropriate groove shape is selected, and the working performance and reliability of the clutch are improved.

The invention belongs to the field of intelligent manufacturing, and discloses a component state real-time sensing method based on parameterized loads. According to the method, parameterized representation is carried out on the load, an overall stiffness matrix is obtained in combination with finite element analysis, and a displacement data set of a component under the parameterized load is constructed through Monte Carlo statics simulation. On the basis of POD, in combination with parameterized loads, a parameterized intrinsic orthogonal decomposition method is provided, then a projection base vector used for expressing a component displacement deformation mode is obtained, sensor layout optimization is conducted on a component deformation sensitive area through QR decomposition, and finally a real-time and accurate displacement state sensing result is obtained. The calculation amount of real-time sensing of the displacement state of the component can be effectively reduced, and the operation efficiency is improved; and by optimizing the layout of the sensor, the displacement sensing precision of the component is improved.

The application provides an asset simulation system for threat awareness, comprising a simulation module, a decision module, a semantic mapping library, a response agent, a resource storage module and a session library, when an access request of an attacker is received, the decision module first matches the resource type corresponding to the request through the semantic mapping library, if it is static resource access, the decision module directly calls the static simulation resource in the resource storage module and returns the response, if it is dynamic resource access, the decision module triggers the response agent, so that the response agent is started and dynamically interacts with the attacker, records the interaction log, and synchronously updates the session context to the session library. The application realizes high-fidelity replication of static and dynamic resources of the protected assets relying on a vertical large model, and through hierarchical design, can quickly respond to static resource access and deeply interact with dynamic resource access.

The application provides a vehicle steering system evaluation method and device, electronic equipment and medium, wherein the method comprises: controlling a vehicle to perform an independent working condition verification test to obtain an independent working condition verification result, the independent working condition verification test instructing the vehicle to apply a fault excitation under a static simulation working condition and perform a preset trajectory driving under a dynamic driving working condition; if the independent working condition verification result meets a preset qualified threshold, controlling the vehicle to perform a coupled working condition verification test to obtain a coupled working condition verification result, the coupled working condition verification test instructing the vehicle to apply a fault excitation under at least two concurrent abnormal states; and evaluating a safety state of the vehicle steering system according to the independent working condition verification result and the coupled working condition verification result. Through the application, a comprehensive, objective and quantitative evaluation test of the rear wheel steering system is realized.

The invention belongs to the technical field of automobile intelligent manufacturing and data processing, and particularly relates to a three-dimensional assembly tolerance prediction method for automobile assembly. The method comprises the steps of obtaining ideal three-dimensional coordinates and actual measurement coordinates of key measurement points under standard working condition characteristics on an automobile final assembly production line, and constructing a historical data set of input characteristic vectors and prediction target vectors so as to train a joint Gaussian process regression model; predicting a deviation correction amount and a heterovariance under the new working condition characteristics to obtain a dynamic correction coefficient, and further updating input parameters in the simulation model; the updated input parameters are substituted into the simulation model, a new tolerance distribution diagram of the key measuring points is generated, a comprehensive risk assessment index is calculated, and tolerance prediction and risk early warning of the automobile assembly process are achieved according to an assessment result. According to the method, the problem that a static simulation model cannot reflect a dynamic production process is solved, and the tolerance prediction accuracy is remarkably improved.

The application discloses a machining deformation field numerical analysis method considering intermediate geometric states and application, belongs to the machining deformation control and statics simulation technical field, and comprises the following steps: calculating the workpiece displacement field generated by the residual stress rebalancing caused by the current material removal based on numerical analysis; calculating the boundary corresponding to the material boundary removed in the initial configuration according to the displacement field; removing the material in the initial configuration according to the boundary, and then performing numerical analysis again to obtain the displacement field; and finally calculating the part deformation according to the displacement field. By using the method, the geometric and stress evolution in the machining process is dynamically simulated, the limitation of the traditional numerical analysis on the simulation of the intermediate state in the machining is broken through, the machining deformation prediction precision of the aerospace complex part is improved, and reliable numerical basis is provided for process optimization.

The invention discloses a method for continuously impacting and buffeting a leaf surface model by a pesticide fog drop group at different azimuth moments. The method comprises the following steps: S1, constructing a three-dimensional multi-fog-drop static simulation model; s2, determining an optimal multi-pesticide droplet impinging phase interface tracking method, an optimal surface tension model and an optimal grid establishment method; s3, optimizing a grid, and locally refining a pesticide fog drop generation area; s4, constructing a multi-pesticide droplet impact simulation model based on the actual dynamic wall surface; s5, editing a user-defined function, and controlling generation of multiple pesticide fog drops and leaf surface vibration; and S6, carrying out numerical research on dynamic behavior change of collision of multiple pesticide droplets on the real leaf surface. According to the method, a control strategy based on a user-defined function is adopted, the generation time, position and number of pesticide droplets are adjusted, an interface tracking method and a surface tension model are combined, and the movement process of the pesticide droplets on a dynamic wall surface is simulated.

The present invention relates to the field of automated testing technology and discloses an ejection seat test device and a test control system. The present invention, through the setting of the test control system, performs detection through static simulation testing and dynamic simulation testing respectively to obtain a fourth static pull-out force, a first static pull-out force, a second static pull-out force, a third static pull-out force, a second dynamic pull-out force, a third dynamic pull-out force, and a fourth dynamic pull-out force. Then, a pull-out force estimation module calculates a second predicted pull-out force, a third predicted pull-out force, and a fourth predicted pull-out force to determine whether a preset first pull-out threshold, a second pull-out threshold, and a third pull-out threshold are met under an actual target ejection speed. In addition, a simulation speed correction strategy is provided to determine whether a preset simulation speed meets the requirements. If not, an expanded simulation speed is generated, so that a curve simulation result is closer to reality and the test result is more accurate.

The present invention discloses a method for intelligently generating test scenarios for the autonomous capabilities of ground unmanned equipment, comprising constructing a multi-level simulation scenario terrain model through noise-based height map generation, terrain erosion simulation, landform parameterized modeling and terrain fusion, and remote scene modeling; then modeling a highly realistic and complex natural environment based on the generation of dynamic lighting and weather conditions, terrain coverage primitives, unstructured roads, and static simulation elements of scene vegetation; and automatically generating test scenario cases for the autonomous reconnaissance and maneuverability capabilities of unmanned equipment by combining intelligent agent behavior models with dynamic triggering rules. The present invention intelligently constructs test scenarios for the autonomous reconnaissance and maneuverability capabilities of ground unmanned equipment in a controlled simulation environment, automatically constructing a variety of unmanned system simulation scenarios within seconds, and solving the current problems of low efficiency and high cost in constructing simulation scenarios for testing ground unmanned equipment.

The present application discloses a multi-fidelity data fusion method, apparatus, device, medium and product, relating to the field of structural health monitoring. The method includes conducting a structural damage expansion test on a specimen to obtain a set of damage state parameter values and a first set of structural response data; conducting a static simulation of the above test on each simulation model in the first set of simulation models to obtain a second set of structural response data; conducting a static simulation of the above test on each simulation model in the second set of simulation models to obtain a third set of structural response data; training a first neural network according to the third set of structural response data and each preset damage state parameter value to obtain a low-fidelity network; training a second neural network according to the first and second sets of structural response data and the damage state parameter values at each moment to obtain a feature mapping network; and constructing a structural damage assessment model based on the trained networks. The present application is applicable to the training of a structural damage assessment model.

The invention relates to a displacement constraint-based method for predicting the free shape of an aero-engine retainer ring. The method comprises the specific steps of 1, analyzing part design requirements; 2, preparing a model; step 3, setting boundary conditions; step 4, applying initial displacement; step 5, statics simulation under large displacement; step 6, data analysis; 7, adjusting the initial displacement; step 8, post-processing the model; and 9, establishing a free-state retainer ring model. According to the method, Abaqus finite element analysis is applied to machining of large-diameter high-precision thin-wall aero-engine clamping ring parts with the elasticity requirement, the machining period is shortened, the product stability is greatly improved, and the part deformation controllable requirement needed by service is met.

The invention provides a flood condition monitoring method, device and equipment and a computer product, and relates to the technical field of flood simulation analysis. The method comprises the following steps: when a flood spread situation occurs in a target area, acquiring a dynamic simulation matrix according to a first flood discharge channel where a flood situation occurs in a sub-area and a target first river channel where a gate is opened for flood discharge, so that the acquired data of a flood situation monitoring result is more comprehensive; a static simulation matrix is obtained according to all second flood discharge channels in the sub-region and a second river channel communicated through a gate, so that the collected data of the flood condition monitoring result is more representative and real-time; the two sub-regions are compared and analyzed through the dynamic simulation matrix and the static simulation matrix of any two sub-regions in the target region, the flood situation risk value between the two sub-regions is obtained, the flood spreading risk difference between the different sub-regions can be reflected in real time, the deviation between the simulation result and the reality is reduced, and the simulation efficiency is improved. Accurate early warning and dynamic evaluation can be realized.

The invention discloses a carbon emission-carbon sink dynamic coupling model construction method under cross-modal data fusion, and relates to the technical field of carbon emission prediction.The method comprises the steps that cross-modal fusion, space-time alignment and cleaning are conducted on multi-source data related to carbon emission, and preprocessed data are obtained; extracting a carbon cycle state feature vector from the preprocessed data through an attention mechanism of a preset neural network model; respectively constructing carbon emission digital twinborn models for different types of lands; respectively constructing carbon sink digital twinborn models for different types of carbon sink areas; establishing a bidirectional feedback rule for each carbon emission digital twinborn model and each carbon sink digital twinborn model to realize dynamic coupling, and defining a dynamic coupling coefficient; and integrating the carbon cycle state feature vector, the dynamic coupling coefficient and the bidirectional feedback rule into a digital twinborn simulation engine to obtain a carbon cycle digital twinborn body. According to the method, the problems of low data credibility, model splitting and simulation staticization in the prior art can be solved.

The invention discloses a method for predicting spatial distribution of multiple components in a transformer, and relates to the technical field of power equipment operation state monitoring, and the method comprises the steps: firstly constructing a multi-gas component transport physical simulation model of transformer oil based on fluid simulation software, and configuring an observation system mapped with the position of an actual sensor; constructing a time sequence error matrix of actual observation and simulation prediction, and dividing the time sequence error matrix into a training set and a verification set; on this basis, a dynamic B matrix is generated by using an LSTM network, simulation data and real-time sensor observation data are fused through an EnKF algorithm, and dynamic updating and error correction of a simulation model are realized; the data assimilation process is assisted by a self-adaptive step length regulation and control and exception handling mechanism; and finally, dynamically displaying the spatial distribution of each gas component in the oil tank in various forms. According to the method, the problems of space limitation of traditional monitoring, error accumulation of static simulation prediction and the like are effectively solved, and accurate and dynamic prediction of spatial distribution of multiple gas components in the transformer is realized.

The invention provides a turbofan engine fan shaft and a design method thereof. The design method of the turbofan engine fan shaft comprises the steps that an initial fan shaft model with an initial configuration is obtained; wherein the initial configuration comprises a boundary dimension structure of the fan shaft model; the initial fan shaft model is adopted to conduct static simulation on the whole turbofan engine, so that the load borne by the initial fan shaft model is obtained; performing statics topology optimization according to the initial fan shaft model and the load, and obtaining an optimization result; determining the density requirement of each axial section in the initial fan shaft model according to the optimization result, and determining the cavity size of each section according to the density requirement to obtain an optimized fan shaft configuration; wherein the cavity size of the part with the high density requirement is smaller than that of the part with the low density requirement; optimized fan shaft configurations include an initial configuration and cavity dimensions.

The invention relates to the technical field of calculation methods, in particular to a trestle girder deflection inversion method based on double-dip-angle measurement, which comprises the following steps of: establishing a three-dimensional finite element model of a trestle according to trestle design parameters, performing static simulation on the three-dimensional finite element model of the trestle under a standard control load working condition, and acquiring simulation parameters; calculating an initial conversion coefficient according to the simulation parameters, pasting a sensor on the surface of a trestle girder, detecting working parameters of the trestle through the sensor, continuously collecting trestle parameters by the sensor when the trestle enters an effective load steady-state interval, carrying out iterative calculation according to the trestle parameters, and obtaining an effective conversion coefficient after iteration; according to the trestle girder deflection inversion method based on the double-dip-angle measurement, the trestle girder deflection inversion method based on the double-dip-angle measurement can iteratively generate a new conversion coefficient according to the dip angle data of the trestle when the trestle works every time so as to provide an accurate trestle girder deflection value.

The embodiment of the invention relates to the technical field of simulation analysis of vehicle structures, and discloses a simulation test method and device for a vehicle-mounted display equipment support and electronic equipment, and the method comprises the steps: determining a failure control parameter, and determining a failure basis and a failure criterion of a failure model; the failure control parameter comprises deletion when the deletion attribute is failure; determining constraints among the structure sub-models as contact constraints, incremental step control parameters and output control parameters; based on the failure control parameter, the failure basis, the failure criterion, the contact constraint, the incremental step control parameter and the output control parameter, applying a simulation process of a progressive breaking strength load to the to-be-processed model by adopting nonlinear statics simulation, and outputting target plastic mechanics data and a target failure state value of a unit at each time step; and the breaking strength of the vehicle-mounted display equipment bracket is determined. By applying the technical scheme of the invention, the accuracy of simulation analysis can be improved.

The invention relates to the technical field of data processing, and particularly provides a design parameter optimization method, system and device for a wind power tower protection net and a medium, and the method comprises the steps: constructing a three-dimensional model of the protection net based on current design parameters; loading a static simulation load and a dynamic simulation load to the three-dimensional model, and solving a stress peak value and stress distribution of the three-dimensional model under the action of the loads; calculating safety indexes of the protective net adopting the current design parameters based on the stress peak value, the stress distribution and pre-stored material characteristic data; and current design parameters are optimized based on the safety indexes, wherein the safety indexes comprise the maximum deformation quantity, the safety coefficient curve and the fatigue life. According to the method, the scientificity of the design parameters of the wind power tower protective net is improved, manual trial and error are reduced, and the design period is shortened.

The present application provides a method for scaled design of the internal flow field environment in an industrial-scale bioreactor, including input, static simulation, dynamic simulation, and output; in the input step, built-in parameters and conditional parameters are input; in the static simulation step, calculations are performed on the built-in parameters and conditional parameters to obtain static simulation results; in the dynamic simulation step, the static simulation results, built-in parameters, and conditional parameters are cyclically iterated until the cyclic iteration terminates to obtain dynamic simulation results; in the output step, the static simulation results and dynamic simulation results are output; the present application also provides a system adopting the above method. The scaled design method and system provided by the present application can achieve the observation of the dynamic changes of key metabolic parameters during the fermentation process.

The invention provides a rigidity and strength fatigue wear simulation analysis method and equipment for a clutch separation device and a medium, and belongs to the technical field of vehicle clutches. Three-dimensional models of a separation shifting fork shaft, a rocker arm and a gearbox front shell are obtained, and a finite element model is established based on the three-dimensional models; defining a constraint set point, a surface grid set, a contact relation, a material attribute and a grid type; and applying a first load to the surface grid set to establish pre-contact, and then applying a second load to perform static simulation. Extracting stress data to determine a dangerous position, and extracting displacement data to calculate torsional rigidity. And based on the dangerous position and second load cyclic loading, fatigue safety coefficient distribution is obtained, and bushing wear data are extracted to evaluate the wear condition. The rigidity, the fatigue life and the lining abrasion performance of the separation device are evaluated synchronously through simulation, a stress danger area and an abrasion overrun area are positioned, data support is provided for structural optimization and maintenance period formulation, the reliability of the clutch is improved, and the service life of the clutch is prolonged.