254 results about "Computer simulation" patented technology

The invention relates to the technical field of computer simulation testing, in particular to a dynamic analogue simulation testing method and system for plate type structure service deformation. The technical problem that the structural damage identification precision is insufficient when fixed signal decomposition parameters are used for processing all detection signals is solved. The method comprises the following steps: acquiring a mesoscopic parameter set and a bimodal ultrasonic guided wave original signal set of a to-be-detected plate type structure; based on the mesoscopic parameter set, determining optimization parameters for decomposing the bimodal ultrasonic guided wave original signal set; decomposing the bimodal ultrasonic guided wave original signal set based on the optimized parameters and a signal decomposition algorithm, and determining a target signal set related to structural damage; and performing simulation comparison on the mesoscopic parameter set and the target signal set, and determining the service damage state of the plate type structure. The method is used for plate type structure damage identification scenes.

The invention relates to a preparation process optimization method of a zirconium alloy material with high fretting wear resistance, which comprises the following steps: setting a chemical component optimization range of a zirconium alloy, including specific proportions of tin, iron, niobium, chromium and oxygen elements; establishing a computer simulation model, and predicting the wear volume, tribological stability and microstructure evolution of the material under the fretting wear condition; then, a complete optimization scheme is output based on the model optimization homogenization treatment temperature interval, the hot working deformation range, the cold working cumulative deformation degree and the annealing system; and finally, a preparation process sequence including smelting, homogenization treatment, hot working deformation, cold working deformation and final heat treatment is implemented, the zirconium alloy material with the equiaxed grain structure is prepared, and the wear resistance of the zirconium alloy material is verified through an experimental fretting wear performance test. Compared with the prior art, the method has the advantages that through systematic component design and process parameter simulation optimization, the material performance is remarkably improved, and the application reliability is enhanced.

The invention discloses a method for predicting the residual life of an existing asphalt pavement structure, particularly relates to the technical field of computer simulation and data processing, and is used for solving the problem that the existing prediction method cannot efficiently represent the non-uniformity of an existing pavement material and the dynamic environment load influence on the premise of ensuring the precision. Existing damage data of a road surface are acquired to construct a simulation model reflecting a real initial state, material fatigue parameters are acquired in combination with cross-scale analysis, a dynamic environment boundary is driven by utilizing climate time sequence data, and then time-frequency coherence analysis is performed on a damage mode and a climate load to identify a high-threat working condition, so that the high-threat working condition is identified. And finally, preferentially operating high-fidelity thermal-mechanical coupling numerical simulation aiming at a high-threat working condition, and mapping damage evolution data output by simulation to a macroscopic performance degradation process so as to determine the residual fatigue life.

The invention relates to the technical field of digital twinning and computer simulation, in particular to a power transmission and transformation project optical cable connection information operation and maintenance system based on a logic model, which comprises a model fusion module for constructing a digital twinning anchor point set by fusing a three-dimensional physical model and a secondary system logic model of a power transmission and transformation project; when the simulation analysis module receives a logic loop alarm, the physical path is reversely traced based on anchor point data, physical field simulation operation is executed, and a physical degradation risk point is output; the augmented reality module realizes spatial registration of a three-dimensional physical model and a live scene through a spatial computing technology, and visually presents logic loop and risk point information. According to the method, the space-time twin anchor points are constructed, the physical field simulation operation is driven, and the diagnosis result and the operation and maintenance instruction are superposed on the live scene through the augmented reality technology, so that the intelligent operation and maintenance closed loop of the optical cable connection information of the power transmission and transformation project is realized, and the troubleshooting efficiency and accuracy are improved.

The invention relates to the technical field of computer simulation, and provides an ecological restoration measure carbon sink effect quantitative simulation prediction method and system based on digital modeling. The method comprises the following steps: collecting ecological element information of a target drainage basin, extracting a multi-dimensional spatial distribution feature set, and establishing an ecological environment response simulation model under engineering disturbance in combination with digital baseline data; constructing a carbon sink effect quantitative model based on construction operation situation information, and embedding the carbon sink effect quantitative model into associated nodes of the ecological environment response simulation model to realize coupling; the dynamic influence of engineering construction operation on the drainage basin carbon sink capacity is simulated based on the coupling model, the multi-target optimization decision matrix is generated, the pre-optimization decision suggestion is output, collaborative simulation of ecological environment response and carbon sink effect quantification is achieved, and the accuracy of hydropower engineering carbon sink influence prospective evaluation and the scientificity of decision suggestion are improved.

A system and method for automatically generating immersive training scenarios for workers in an industrial environment for hazardous events in a computer simulated environment is provided. The method includes acquiring, by processing unit, information pertaining to operation of assets and related anomalies and hazards in industrial environment for which training scenarios are to be simulated, loading simulation sequence of industrial environment including assets operating at ideal behavior, wherein simulation sequence executes a first set of tasks on virtual assets within ideal behavior, defining one or morse sequence of events that lead to hazardous event in industrial environment based on acquired information, determining second set of tasks to be executed in loaded simulation sequence, simulating second set of tasks in loaded simulation sequence, and generating immersive training scenario in computer simulated environment based on execution of the first set of tasks and the second set of tasks in loaded simulation sequence.

The invention discloses a high-precision adaptive numerical simulation method and system for solving a nonlinear integral-differential equation, and relates to the technical field of computer simulation and numerical calculation. Comprising the steps of setting simulation conditions; constructing a grid space based on the computational domain; constructing a global cubic spline interpolation function based on the solutions on the grid points; if the updated grid point location exists, calculating a right-end integral item by using an adaptive numerical simulation integral algorithm; calculating a heuristic solution and an error estimation value; dynamically adjusting the tentative step length and updating the time according to the estimated value and the ODE tolerance; checking gradient and curvature distribution of solutions, encrypting grids for areas with violent solution changes, and sparse grids for areas with smooth solution changes; using a global cubic spline interpolation function to demap the old grid space to the adjusted new grid space; and iteratively executing the steps, and outputting an integral solution in the computational domain. And finally, collaborative improvement of integral simulation calculation in precision, efficiency and stability is realized.

The invention discloses a CAE (Computer Aided Engineering) workflow control subsystem and method based on cloud computing, and belongs to the technical field of crossing of computer simulation and cloud computing, and the subsystem comprises a workflow configuration analysis module which is used for converting a CAE workflow configuration file possibly containing cyclic dependence into a directed acyclic graph state machine through strong connectivity component analysis; the workflow state machine operation module is used for dynamically deriving task groups which can be executed in parallel in the next stage in the state machine according to the current state; and the workflow scheduling module is used for submitting the tasks to a cloud solving platform in parallel and realizing fault recovery through state persistence. Through deep fusion of a graph theory method and a cloud computing architecture, automatic scheduling, efficient parallel execution and reliable fault tolerance of the CAE workflow are realized, and the computing resource utilization rate and the system reliability are remarkably improved.

The invention relates to the crossing field of a medical rehabilitation training technology and a computer simulation technology, in particular to a postpartum rehabilitation simulation training demonstration device and a use method thereof. The training assembly comprises a dredging massage piece, a uterus simulation piece and a moxibustion piece which are arranged in the model body; the driving assembly comprises a transmission piece and a pressing piece; the transmission piece comprises an external connection block arranged in the model body and a transmission groove formed in the upper end face of the external connection block. The pressing piece comprises a lower pressing shaft arranged on the inner wall of the model body and a rotating shaft arranged on the inner side of the lower pressing shaft; massage rehabilitation of the abdomen, the mammary gland and the uterus can be achieved through a plurality of components in the training assembly, the training requirements of personnel are met, meanwhile, downward pressure is converted into power of the triggering assembly through the pressing piece, and whether the force is appropriate or not is judged through responses of the response pieces at different positions; and the accuracy of the pressing position and force during personnel training is improved.

The invention relates to the crossing field of computer simulation and aerospace propulsion technology, and discloses a numerical simulation method for solid propellant grain cutting treatment, which comprises the following steps: establishing a three-dimensional model of a grain and a cutting tool, and defining a heat-force-damage coupling constitutive relation and boundary conditions; performing multi-physical field monitoring based on the weighted combination of the equivalent plastic strain, the temperature and the damage gradient at each time step; dynamically executing self-adaptive encryption and coarsening of the grid; in combination with dynamic load balancing in parallel computing, the resource utilization rate is increased; and material separation is simulated through a damage fracture criterion, and finally high-precision cutting force, a temperature field, a stress-strain field and a cutting morphology are output. According to the method, the simulation precision and efficiency are improved, and reliable support is provided for process optimization and safety evaluation.

The invention discloses a flow-state backfill material and a matching ratio design method and system thereof based on coupling simulation. The method comprises the following steps: S1, initial parameter setting and material characterization; s2, CFD simulation and primary optimization of macroscopic workability; s3, DEM simulation and secondary optimization of microstructure stability are carried out; and S4, coupling iteration and final mix proportion determination. The invention relates to the technical field of crossing of civil engineering material design and computer simulation, and can solve the problems of long design period, high cost and unclear mechanism of the mix proportion of a flow-state backfill material in the prior art.

The invention relates to the technical field of computer simulation, in particular to an impact test and simulation imaging method and system for underground vibration, and the method comprises the steps: obtaining an underground test and imaging judgment coefficient according to the combination of an obtained target requirement specific type and a test index with an underground vibration simulation model; threshold value division is carried out based on underground testing and imaging judgment coefficients, truth degree grades are set according to the divided threshold values, and the data truth degree is analyzed; and optimizing the analyzed underground operation information data according to the grading result, marking data with large grade difference, converting the optimized vibration data and simulation result into a visual image, and feeding back and interpreting the visual image. According to the method, the accuracy and the reliability of data are improved, more valuable reference information is provided for underground operation, the safety and the efficiency of the underground operation are improved, potential risks are reduced, and a reliable basis is provided for subsequent decision and analysis.

The invention relates to the technical field of spacecrafts, in particular to a spacecraft defense material and a preparation method thereof, and designs a structure capable of effectively absorbing and dispersing impact energy on microscopic and macroscopic scales by utilizing computer simulation and an advanced material modeling technology. A base material with high strength, high toughness, light weight and corrosion resistance is selected, nanofibers, nanoparticles or nanosheet layers are embedded into the base material by utilizing a nanotechnology so as to enhance the mechanical property and the impact resistance of the base material, and the shape, the structure and the performance of the material are accurately controlled by adopting an advanced manufacturing technology. The prepared materials are stacked, bonded or mechanically connected together to form a final defense structure, and the structure is strictly tested. By combining a nanotechnology, composite material engineering and an additive manufacturing defense material, the deep requirement of a space exploration task is met, and the safety of astronauts and the smooth completion of the task are ensured.

The application discloses a forest structure and intelligent coupling analysis and modeling method for absorbing photosynthetically active radiation, and belongs to the technical field of forest ecology remote sensing, structure analysis and computer simulation. The method focuses on fusing airborne and handheld laser radar information, accurately inverting forest structure indexes, covering single-tree level attributes, neighborhood spatial structure indexes, gap structure, stand density SD and slope SL; three-dimensional radiation transmission simulation is carried out; through the construction of a single-tree three-dimensional model library and a digital sample plot, high-precision three-dimensional forest reconstruction and hierarchical APAR simulation are realized, and photosynthetic spatial heterogeneity parameters are extracted; Spearman correlation analysis is carried out based on the structure and APAR parameters, and PCA dimension reduction and KMeans clustering are combined to identify the dominant structure mode and spatial type; based on the clustering result, a typed structure-APAR coupling integrated learning model is constructed, and the regulation mechanism of single-tree attributes and neighborhood structure on APAR is revealed.

The invention discloses a multi-level voxel simulation system and a cross-level communication method thereof, and relates to the technical field of computer simulation and physical modeling. The system of the present invention includes at least two levels of voxel grids (e.g., coarse grids and fine grids), each voxel in the coarse grid representing a voxel region in the fine grid. During simulation, the coarse hierarchy model quickly simulates global behaviors or performs coarse collision detection, and the fine hierarchy model performs fine calculation on local key areas. When a potential event is detected by the coarse hierarchy, deep simulation of the corresponding fine hierarchy region is triggered through a communication mechanism; and after a fine result is obtained through fine hierarchy calculation, key information is fed back to the coarse hierarchy for global state updating. The hierarchies are kept consistent in modes of sharing occupation information, boundary conditions and the like, so that cross-scale co-simulation is realized. According to the method, waste of calculation in an open area is avoided, and the simulation precision of a detail complex area is ensured.

A system, apparatus, and method for efficiently rendering one or more scenes in a computer simulation environment are disclosed. The method includes receiving visual data from one or more data acquisition devices configured to acquire data related to one or more entities interacting in an industrial environment. The method includes identifying, in real-time, a real-world scene from an industrial environment, where the real-world scene is identified using one or more machine learning models from received visual data; based on a comparison with the identified real-world scene, extracting a pre-configured animated scene from a knowledge base; rendering the pre-configured animation scene extracted from the knowledge base in a computer simulation environment; detecting a deviation in the real world scene when compared to a pre-configured animated scene rendered in the computer simulation environment; and rendering the real-world scene in the computer-simulated environment in response to the detected deviation.

The invention discloses an eccentric circular ring transient temperature field rapid calculation method based on conformal mapping, and belongs to the technical field of heat conduction numerical calculation and computer simulation, and the method comprises the steps: 1, converting an eccentric circular domain of a physical plane into a concentric circular domain of an image plane through conformal mapping, and building a coordinate corresponding relation between the two domains; step 2, constructing a finite difference numerical discrete model introducing scale factor correction, and flexibly selecting an explicit, semi-implicit or fully implicit difference format for solving according to actual requirements; and step 3, performing inverse mapping reduction to obtain a transient temperature field of the physical plane eccentric circular domain. According to the method, the calculation efficiency is remarkably improved while the calculation precision is guaranteed, and the method is particularly suitable for temperature field simulation and monitoring of the eccentric circular ring structure with the high real-time performance requirement.

The invention relates to a method for pulling a single crystal from a melt consisting of silicon and a dopant according to the Czochralski method, comprising the following steps in a given sequence: a) performing a time-dependent computer simulation of a predetermined crystal pulling process having a predetermined dopant concentration (C) in the melt, with the aim of obtaining a temperature gradient and a dopant gradient for each time increment t, wherein the two gradients are determined at the interface between the crystal and the melt in the normal direction of the melt interface, b) determining a maximum dopant concentration (Cmax) in the melt, and c) pulling up a single crystal having a dopant concentration less than the determined maximum dopant concentration (Cmax), characterized in that a parameter (CS) is calculated for each time increment t, which is determined by formula, wherein the parameter fCS is determined from the product of the average concentration (C) of the dopant in the melt, the density of the silicon melt, the Avgamde constant, the molar mass of the silicon and the slope of the liquidus, and then generating an average value of the values obtained for the parameter (CS) wherein only those values having the (CS) value less than zero are included, and determining the maximum dopant concentration (Cmax) by adapting the above defined dopant concentration (C) until the magnitude equals zero.

This invention discloses an accelerated safety assessment method and system for low-altitude navigation systems based on alternating cross-entropy and importance sampling, relating to the fields of computer simulation and safety assessment technology. The method includes: constructing a probabilistic risk assessment model and initializing a proposal distribution; entering an alternating iterative loop: first, performing importance sampling assessment, calculating accident rate estimates and statistical errors; if the error does not meet accuracy requirements, initiating cross-entropy optimization, updating the proposal distribution parameters using simulation data; the new distribution is fed back to the next round of assessment. This loop continues until the results converge, and an assessment report is output. This invention, through a closed-loop feedback mechanism of alternating assessment and optimization, enables the sampling distribution to adaptively approximate the optimal distribution, intelligently focusing simulation resources on high-risk scenarios, solving the computational efficiency bottleneck of assessing extremely low probability events, achieving an order-of-magnitude improvement in assessment efficiency, and possessing high adaptability and engineering practical value.

The invention relates to the crossing field of water conservancy projects and computer simulation technologies, in particular to a river and canal protection engineering failure dynamic judgment and boundary updating method, which comprises the following steps of: marking a protection engineering area and setting the protection engineering area as a non-scour boundary during simulation initialization, and calculating hydrodynamic parameters such as water depth and flow velocity in each time step; comparing with the water depth-flow velocity relationship of a gabion, the design flood control standard of a stilling pool, the bottom elevation of an anti-scour wall and other anti-scour thresholds, if the thresholds are exceeded, judging that the boundary is invalid and dynamically updating the boundary to be a scoured boundary, and continuing simulation by combining dynamic dry and wet grid judgment and GPU parallel calculation; according to the method, water flow-sediment-riverbed-protection engineering collaborative simulation is achieved, the progressive damage process is precisely restored, the erosion and deposition simulation error is lower than 9%, universality is high, and a reliable quantification tool is provided for flood control safety evaluation and optimization design of wading projects such as river and canal crossing engineering.

The invention relates to the technical field of computer simulation, and provides a BIM (Building Information Modeling)-driven green performance real-time simulation analysis system, which is characterized by comprising a model analysis module used for importing and analyzing an original BIM file and extracting multi-source building component data; the model conversion module is used for constructing a unified scene model; the parameter association module is used for generating and outputting a synchronization parameter update package; the simulation calculation module is used for outputting a green performance index distribution diagram; and the interaction feedback module is used for converting the green performance index distribution diagram into a hot area visualization diagram, superposing and rendering the hot area visualization diagram into a unified scene model in real time, and when the user interaction operation is model modification and / or parameter analysis, generating a parameter modification instruction and sending the parameter modification instruction to the parameter association module so as to trigger a new round of simulation. Through a multi-source data dynamic fusion mechanism and a parameter bidirectional link technology, an interactive feedback closed-loop system from a BIM model to green performance analysis is constructed.

This invention discloses a computer simulation-based emergency evacuation simulation method for hazardous chemical accidents. The simulation method includes the following steps: constructing a simulation model including a display map, displayed objects, and simulation rules; setting the simulation background based on accident information, and setting the initial states of personnel distribution, traffic conditions, and material reserves; updating the state and position of displayed objects on the display map in discrete rounds according to the simulation rules and the initial states, and dynamically simulating personnel evacuation and material supply; evaluating the simulation results, adjusting the simulation rules based on the evaluation results, repeating the simulation, and outputting an optimized emergency evacuation strategy. This invention maps disaster spread, personnel risk evolution, and resource scheduling into the same round time domain, realizing multi-process joint simulation and effectively supporting the evaluation and optimization of emergency evacuation strategies for hazardous chemical accidents.

A condition monitoring and failure early-warning system for a boiler water-cooled wall of a power station, comprising an on-site collection system, a superordinate computer system, and a network communication system. The on-site collection system comprises a plurality of measurement devices and data acquisition devices arranged on the boiler water-cooled wall; the data acquisition devices are connected to the superordinate computer system by means of the network communication system. The superordinate computer system comprises a computer simulation system and a failure early-warning system. The computer simulation system obtains a digital twin model comprising temperature field and stress field distributions of the entire boiler water-cooled wall. On the basis of on-site measurement point data, the failure early-warning system calculates simulation data to perform safety evaluation and provide predictive alarms; and online safety evaluation and intelligent failure early-warning are performed on the boiler water-cooled wall, thereby greatly improving the early warning accuracy.

The invention relates to the field of computer simulation and scientific calculation, and provides a method for carrying out numerical solution on a dynamic system described by a generalized differential equation. According to the method, a system is divided into two subsystems which interact through a port function, a zero-input independent solution and an impulse response of the first subsystem are obtained in a computer, time domain convolution is carried out on the zero-input independent solution and the impulse response of the zero-input independent solution and the impulse response of the zero-input independent solution and the impulse response of the first subsystem and port input of a second subsystem, and a cross-subsystem effect is decomposed into an independent solution item, a historical effect item and an instant effect item; and forming an equivalent equation of the second subsystem and executing numerical integration to obtain a system time domain solution. The method is suitable for electrical, mechanical, hydraulic, control, structural, thermal, electromagnetic, fluid and other systems represented by generalized differential equations, and can be popularized to other time evolution models. According to the method, repeated solution of a linear part is replaced by impulse response, and the matrix operand is reduced while the spectral characteristics and precision are reserved, so that the simulation efficiency is remarkably improved, and the stability is improved.

The invention relates to the technical field of computer simulation, and discloses a rapid modeling simulation method and system for a deformed wing structure, and the method comprises the steps: recognizing wing section key points of wing section data, fitting an upper surface curve and a lower surface curve of the deformed wing structure, and determining a parameterized wing section of the deformed wing structure; analyzing key change parameters, corresponding to the wingspan direction, of the deformed wing structure so as to construct a parameter change curve in the wingspan direction, and fitting a wing geometric model of the deformed wing structure; determining a deformation mode of the deformed wing structure, calculating an airfoil variable quantity and a torsion angle variable quantity of the deformed wing structure in a deformation process, and fitting an initial deformed wing model of the deformed wing structure; carrying out simulation calculation on an aerodynamic coefficient of the initial deformation wing model, and determining aerodynamic performance of the initial deformation wing model; and optimizing the initial deformation wing model to obtain a target deformation wing model. According to the method, the modeling simulation accuracy and design efficiency of the deformed wing structure can be improved.

The application discloses a computer simulation and optimization method for oriented rubber and meat close fitting, and belongs to the technical field of computer aided engineering and virtual simulation. A three-dimensional model of rubber and meat is constructed and material properties are defined, a virtual contact interface is constructed and is discretized into multiple contact units; a finite element analysis engine is used to simulate the rubber deformation process under different candidate pressure distribution modes, and corresponding deformation sequences are generated; the relative displacement between the rubber nodes and the meat nodes at each contact unit is extracted, and the overall fitting degree coefficient is calculated; the candidate pressure distribution mode is iteratively optimized until the optimized pressure distribution mode meeting the convergence condition is obtained, and is output as the target pressure application scheme. The application can automatically find the optimal pressure application scheme for the closest fitting of rubber and meat, effectively replace the traditional process debugging mode relying on experience and repeated experiments, significantly improve the fitting quality and efficiency, and provide accurate computer guidance for the formulation of actual production processes.

A system, apparatus and method for improving quality and accuracy of data pertaining to plurality of digital twins interacting in a computer simulated collaborative environment over a distributed network is provided. The method includes receiving input data from data sources corresponding to entities in an industrial environment. The method includes identifying if the data sources match the requirement of the digital twins requesting the input data based on the second unique identifier and a set of requirements of the digital twin. The method includes verifying an authenticity of the data sources based on the first unique identifier and the second unique identifier using a self-sovereign identity network including identification information of entities in the distributed network). The method includes providing the received input data to the corresponding digital twin, if the authenticity of the entities is verified.

The application discloses a kind of SPH steady flow processing method and related equipment, method includes the input entrance pressure data is converted into entrance speed data;Entrance speed data is based on setting virtual particle;And the data information of fluid particle is updated by the interaction between virtual particle and the fluid particle to be processed, and fluid particle data is judged based on setting parameter threshold, and the particle field information of output is obtained.The application embodiment can be converted into entrance speed data by the entrance pressure data, and virtual particle is set to simulate fluid particle, reduce the speed shock and data noise caused by particle simulation calculation based on entrance pressure, reduce the accumulation of entrance particle simultaneously, improve the stability of entrance boundary, so as to improve the convergence speed and processing efficiency of steady flow simulation.The application can be widely applied in computer simulation and data processing technical field.

A parallelepiped-shaped body has a flat top surface on which a user draws computer simulation controller buttons with a layout and spacing best fitting the user's physical needs. The user connects wires in the body to random GPIOs and maps the drawn buttons to desired game controller functions using an off-the-shelf controller connected to an MCU by pressing drawn buttons on the body along with corresponding buttons on the off-the-shelf controller, establishing which drawn button has which game controller function.