297 results about "Joint simulation" patented technology

The invention relates to an oil bearing carrying capacity evaluation method based on virtual simulation, and the method comprises the steps: obtaining working condition data samples of an oil bearing in a plurality of typical operation states under a complex working condition of a composite load, and carrying out the marking of bearing structure partitions, so as to build a working condition partition mapping table; establishing a multi-physics field sensitive area identification model for each partition, and performing dynamic parameter adjustment on the global finite element model and the local high-precision infinitesimal sub-model by using a multi-physics field coupling calibration factor; and performing time sequence feature extraction on a multi-physical field joint simulation result after dynamic parameter adjustment to obtain a multi-dimensional parameter sequence related to the typical failure mechanism of the oil bearing.

The invention provides a pipe jacking construction digital twinning optimization system and method based on high-precision physical simulation, and relates to the technical field of underground pipe network pipe jacking construction. Construction data of multiple physical entities during pipe jacking construction are collected in real time through a physical simulation engine module and then transmitted to an established digital twin model, virtual mapping synchronously updated with the construction data of the physical entities is established, and an optimization and decision module optimizes construction parameters by adopting a joint simulation algorithm fusing finite element analysis (FEA) and computational fluid dynamics (CFD), so that the construction parameters are optimized. The construction feedback module realizes automatic parameter adjustment based on PLC control according to optimized construction parameters, the analysis report module analyzes time sequence data and generates a construction efficiency evaluation report, a stress concentration area is accurately simulated, the simulation precision is improved, high synchronization of a virtual model and physics is realized, and the precision and real-time performance of system execution are improved.

The invention relates to the technical field of automobile chassis simulation, and discloses an automobile chassis mechanism simulation optimization method based on digital twinning. The method comprises the following steps: firstly, acquiring a real-time operation data set of an automobile chassis mechanism, including multi-axis acceleration time sequence information, a suspension displacement monitoring sequence and the like, and synchronously transmitting the real-time operation data set to a cloud digital twin platform; constructing a hierarchical digital twin model comprising a suspension subsystem node, a steering mechanism node and a connecting component spatial constraint relation in the platform according to a chassis topological structure; performing multi-physics field feature extraction on the real-time operation data set to generate a chassis multi-physics field data set; executing multi-scale joint simulation calculation based on the model and the data set, and outputting a chassis dynamic response prediction result including fatigue damage distribution of the key connecting piece and the like; and finally, generating an optimization parameter adjustment instruction set according to the result, combining and feeding back to a physical chassis execution mechanism. According to the method, the real-time performance and precision of chassis simulation optimization are realized, and the chassis performance is improved.

The invention discloses a diastrophic stratum deformation analysis and calculation method for an active fault zone, and relates to the technical field of geological engineering calculation, and the method comprises the following steps: (1) constructing a three-field dynamic coupling model based on an energy density gradient, and unifying dimensions of physical parameters of a mechanical field, a seepage field and a temperature field as an energy density function; according to the diastrophic stratum deformation analysis and calculation method for the active fault zone, the problems of multi-physical field splitting and time scale solidification in a traditional method are solved by constructing an energy-mediated multi-field dynamic coupling model and a space-time decoupling algorithm. On the basis of an interaction path of energy density gradient tensor unified mechanics, seepage and temperature fields, instantaneous bidirectional feedback of three-field parameters is achieved, compared with a traditional model, the pore pressure prediction error is reduced, and the calculation efficiency is improved; and meanwhile, the joint simulation efficiency of the second-level seismic event and the ten-thousand-year tectonic motion is improved, the interface parameter continuity error is controlled, and the precision and stability of cross-scale modeling are improved.

The invention discloses a conversion method and system based on SysML and Modelica model semantic mapping. The method comprises the following steps that S1, a Modelica standard model library is imported into a SysML modeling tool; s2, completing the definition of behavior elements, and forming an SysML model instance; s3, exporting a Modelica model which can be executed by the Modelica simulator; s4, establishing a mapping relation table between SysML model elements and Modelica model elements; s5, when a change event occurs in the SysML model, updating the content of the corresponding Modelica model; s6, the Modelica model is imported into the SysML model, and a corresponding SysML model instance is generated; s7, simulation result mapping and behavior modeling generation are executed, a state transition diagram structure is formed, and structure updating of internal block diagrams in the system model is completed. According to the method, bidirectional conversion and joint simulation optimization between models are realized, and the method is suitable for cross-platform modeling, collaborative design and functional verification scenes of a complex system.

The invention discloses a multi-physics field simulation method, device and equipment for a large-current connecting piece and a storage medium, and discloses the multi-physics field simulation method for the large-current connecting piece, and the method comprises the steps: carrying out the dynamic simulation of a contact process through a dynamic simulation model of the large-current connecting piece, and determining a dynamic simulation result; and determining a first state geometric model of the large-current connecting piece and a contact pressure function of each contact surface according to a dynamic simulation result, and further performing multi-physics field coupling simulation on the large-current connecting piece in a contact state to obtain a multi-physics field simulation result. According to the mode, when force-electricity-heat multi-physical field joint simulation is carried out on the large-current connector contact element, dynamic simulation is carried out firstly, electrothermal coupling simulation in a contact state is carried out based on a simulation result, and the simulation process is disassembled, so that the convergence and stability of simulation calculation are improved; and reliable information is provided for subsequent design optimization of the large-current connecting piece.

The invention provides a method and a system for digital twinborn construction and multi-performance real-time evaluation of equipment, the core of the method is to construct a digital twinborn body of the equipment and develop a multi-performance real-time evaluation agent model, and the method comprises the following steps: constructing a multi-field simulation virtual prototype of the equipment based on a joint simulation technology; various performance indexes of the equipment are comprehensively presented through simulation analysis; the model of the virtual prototype is combined with sensing data, and after visualization processing, a digital twinborn body capable of reflecting direct observation information of equipment is constructed; a robust agent model construction strategy is provided, and batch joint simulation data is adopted to train the model, so that the indirect performance index of the equipment can be accurately evaluated; sensor data for collecting working conditions in real time and an agent model for evaluating performance in real time are integrated in a digital twinborn body, and a model-data dual-drive performance evaluation mechanism is formed.

The invention relates to the technical field of industrial equipment intelligent simulation, and discloses a simulation model construction method and system, and the method comprises the following steps: 1, analyzing the electrical control logic of industrial equipment, and converting the electrical control logic into a mixed integer nonlinear programming problem containing a discrete Boolean variable and a continuous variable; 2, modeling the physical field based on a tensor network decomposition algorithm, and generating a compressed low-rank tensor network model; 3, dynamically adjusting parameters of the tensor network model by adopting a hierarchical optimization strategy, wherein the hierarchical optimization strategy switches a global search algorithm and a local optimization algorithm according to an error convergence state; 4, allocating and executing symbol calculation, tensor network operation and parameter optimization tasks through a heterogeneous calculation system; and 5, collecting production line sensor data in real time. According to the method, different physical field sub-models are dynamically activated through Boolean variables, and the accuracy of joint simulation in a complex industrial scene is remarkably improved.

The invention relates to the technical field of digital twinning, in particular to a storage space utilization rate optimization method and system based on digital twinning, and the method comprises the steps: determining three-dimensional visual modeling input data of a storage digital twinning body according to an obtained environment data set of a storage space and an operation state data set of storage equipment; performing feature extraction processing on the three-dimensional visual modeling input data to generate a storage feature set, and generating a three-dimensional visual model of the storage digital twin based on the storage feature set; calling a spatial layout simulation analysis algorithm, performing joint simulation processing on shelf distribution characteristics, equipment moving path characteristics and goods access frequency characteristics in the three-dimensional visual model, and generating a spatial layout simulation result set; and generating a warehousing operation adjustment strategy set according to the path conflict simulation result and the space idle simulation result in the space layout simulation result set, and indicating a warehousing control system to perform space layout optimization processing based on the warehousing operation adjustment strategy set.

The invention belongs to the technical field of mine monitoring, and particularly relates to a multi-field joint simulation method for mining-induced fractures of top and bottom plates of a gas outburst mine. Comprising the following steps: S1, determining development heights of a working face water flowing fractured zone and a caving zone and depth characteristics and evolution laws of a floor failure zone by adopting various in-situ space-time monitoring technologies; s2, constructing a numerical model based on mechanical parameters actually measured by engineering, and obtaining an upper layer overlying strata damage simulation result; s3, establishing a parameter correction model, obtaining a corrected simulation result, and applying the corrected simulation result to overlying strata failure simulation after full-layer mining after the actual measurement precision is met; s4, collecting overlying strata damage data of all fully mechanized coal mining faces in the mining area or the region, fusing the corrected numerical simulation results, and analyzing to obtain a regression prediction model of the height of the water flowing fractured zone; and S5, collecting overlying strata failure data of each fully mechanized coal mining face in the mining area or the region, fusing the corrected numerical simulation results, and analyzing to obtain a regression prediction model of the floor failure zone height. The invention creates a numerical simulation method for the mining process and overlying strata failure evolution.

The invention discloses a multi-scale wear fatigue joint simulation method and system for a valve element and a valve sleeve of a servo valve, and relates to the technical field of hydraulic control. A geometric model is designed according to structural parameters of a valve structure, and the geometric model is divided into multiple assemblies; defining material parameters of each component, and correspondingly associating the material parameters with each component; defining a wear model of the contact surface of the valve core and the valve sleeve; defining a nonlinear mechanism of the fatigue model; defining a coupling model of a coupling relationship between the wear model and the fatigue model; performing grid division on the geometric model by adopting a dynamic grid updating model, and taking all grid units as simulation analysis objects; performing simulation analysis on the coupling model; according to the simulation result, the wear fatigue coupling failure behavior of the valve element and the valve sleeve is predicted, and the design of the valve element and the valve sleeve is optimized. According to the method, the submicron wear depth prediction precision can be realized, the service life prediction error is reduced compared with that of a traditional method, and a quantitative basis is provided for reliability design and condition-based maintenance of a high-precision servo valve.

The invention discloses a wave-current combined simulation system and method in a low-pressure environment, and relates to the technical field of underwater vehicle hydrodynamic model tests. The defects that in the prior art, sealing and strength are difficult to guarantee in a low-air-pressure environment, and accurate flow velocity and shear gradient control of a multi-layer flow channel cannot be achieved are overcome. According to the technical scheme, the device comprises a low-pressure pool, a plurality of layers of layered water inlet galleries, a plurality of layers of layered water outlet galleries, a rectifying wall, a rectifying baffle, a flow guide grid, a wave absorbing bank, an in-cabin rocking plate type wave maker, a plurality of bottom flow making pump flow making systems, an electric butterfly valve, a high-voltage frequency conversion cabinet, a three-phase asynchronous motor, a gear box, an impeller shaft system and the like. All the devices work cooperatively, and accurate coupling simulation of a multi-layer flow field and high sea condition waves under low air pressure is achieved. The device is suitable for wave-current combined hydrodynamic characteristic simulation and test research of deep-sea navigation bodies and ocean engineering equipment in a low-pressure environment.

The invention belongs to the technical field of electric power system information physical fusion, and discloses an electric power information physical system modeling method and device based on digital twinborn and cross-domain joint simulation, equipment and a medium. The device comprises a physical layer used for acquiring basic data of a power network; the communication layer is used for constructing a communication network model and simulating communication among different subsystems in the power network; the digital twin layer is used for constructing a protocol conversion gateway to align semantics of the physical layer data and the communication layer data, and performing state estimation of the physical layer and the communication layer by adopting digital twin virtual-real interaction based on the physical layer data and the communication layer data which are subjected to semantic alignment; performing joint simulation of the physical layer and the communication layer in different communication time delays and communication fault risk conditions to obtain a simulation result; and the application layer is used for obtaining critical time delay and time delay-frequency sensitivity based on the simulation result.

The invention provides a porcelain insulator quality evaluation system based on multi-physics field coupling analysis, and relates to the technical field of rod-column porcelain insulator data processing.The porcelain insulator quality evaluation system adopts an electricity-heat-force multi-physics field joint simulation model to comprehensively reflect the heat accumulation and stress deformation effect caused by electric field concentration; an electric field concentration coefficient, a temperature rise trend coefficient and a stress gradient coefficient at a sharp point can be accurately captured, and degradation path prediction in a real operation environment is formed; according to the technology, the thread coupling abnormal index F alpha i of the ith rod-type column porcelain insulator is constructed, whether the thread structure has the risk of partial discharge, flashover or breakdown or not can be dynamically evaluated, and by introducing equivalent dielectric layer simulation of various environmental media, the simulation of the influence of various pollutants, attachments and climates on electric field concentration in reality is promoted; quantitative evaluation of the corona discharge risk of the sharp point is realized, and the reliability of the structural design of the insulator is promoted and improved.

The present invention belongs to the technical field of intelligent building energy management and control, and discloses a model-data dual-driven building energy management and control intelligent agent training environment creation method. The method is implemented by the following steps: First, a thermodynamic mechanism model of the building envelope structure and a simulation model of the HVAC system are constructed, and the two types of models are coupled through a joint simulation interface. Then, the existing building operation data is cleaned and repaired by time series alignment, missing value filling, outlier filtering, etc. to ensure data quality. Subsequently, the joint simulation model is run to generate output data such as hourly load and equipment status. Finally, through spatiotemporal label association and feature extraction, the cleaned and repaired measured data and the model output data are multi-source fused to construct a training database containing multi-dimensional features such as building thermal dynamic response and equipment operation characteristics, providing high-precision, full-scene training data support for the building environmental control intelligent agent.

The application discloses a high-pressure diaphragm pump one-way valve structure multi-objective optimization method based on digital twinning, and belongs to the technical field of pump valve optimization design; the application collects geometric size parameters and material properties of a high-pressure diaphragm pump one-way valve, and establishes a simulation model; an Isight and ANSYS joint simulation method is used to generate sample points and calculate response values; an agent model is constructed according to response values of each group of sample points, calculation efficiency is improved, and a digital twinning model is constructed; a one-way valve structure multi-objective optimization model is established by taking the maximum equivalent stress of a valve core and the minimum maximum flow velocity of a valve gap flow field as objective functions, a genetic algorithm is used for solving, the best structure parameter combination of the one-way valve impact resistance performance is obtained, and finally, result verification is carried out; the application can realize high-precision simulation of a one-way valve operating state and solving of optimal structure parameters of impact resistance performance, thereby guiding one-way valve structure design, reducing product research and development time cost, and improving service life.

The invention provides a joint simulation method, device and equipment for a vehicle electronic control system and a vehicle, and relates to the technical field of vehicle chassis electronic control, and the method comprises the steps: firstly obtaining basic data of an electronic control system model and a vehicle dynamics model, and a simulation test working condition; then, an interface mapping relation between an electric control system model and a vehicle dynamics model is established, and the electric control system model and the vehicle dynamics model are integrated by means of a multidisciplinary collaborative tool chain to generate an interactive dynamic link library file, so that efficient and stable joint simulation of the electric control system and the Adams whole vehicle model is achieved. According to the method, key parameters are uniformly packaged into an external system library, direct debugging of an electronic control model and flexible configuration of control parameters in a single Adams environment are supported, so that the problems of multi-software switching, solver conflict and interface immobilization in traditional master-slave joint simulation are avoided, the simulation stability, the execution efficiency and the system expansibility are effectively improved, and the method is suitable for large-scale popularization and application. And the control effect of the electronic control system on the dynamic performance of the vehicle can be verified more accurately.

The invention discloses a heat pump drying experiment method based on 1D-3D joint simulation, particularly relates to the crossing field of heat energy engineering and simulation modeling, and aims to solve the problem of insufficient precision caused by disconnection of a heat pump system and cavity flow field simulation in a heat pump drying process in washing equipment such as a dish-washing machine. The method comprises the following steps: establishing a heat pump system one-dimensional dynamic model and a cavity three-dimensional flow field model, dynamically setting one-dimensionally output air supply temperature and humidity parameters as a three-dimensional inlet boundary, and meanwhile, feeding back three-dimensional air return parameters to a one-dimensional evaporator adjusting boundary to form closed-loop coupling iteration, so as to obtain a three-dimensional flow field model; dynamic high-precision simulation of the whole drying process is achieved, the structure optimization efficiency and the energy consumption evaluation reliability are effectively improved, part of physical tests are replaced, and the development cost is reduced.

The simulation experiment device for the frictional wear behavior of the surface of the artificial hip joint sample comprises a rack, a hydraulic loading mechanism, a hip joint simulation opposite-grinding pair mechanism, a composite motion mechanism, a lubricating liquid adding mechanism and an abrasive dust adding mechanism, and the simplification of the opposite-grinding pair structure and the simulation of an opposite-grinding track are both considered; a lubricating liquid adding mechanism and an abrasive dust adding mechanism are introduced in combination with actual conditions, artificial hip joint friction wear simulation under different lubricating conditions and abrasive dust forming conditions can be better simulated, and the artificial hip joint friction wear simulation device is more suitable for artificial joint material performance evaluation and selection under laboratory conditions.

The invention provides a model-based reusable vehicle fault joint simulation method, which comprises the following steps of: (1) creating fault mode information according to the composition and connection relationship of a system simulation model, and summarizing to form a fault mode information set associated with the model; (2) analyzing a logic causal relationship between fault events, and establishing a system-level fault mode library based on fault mode information; (3) aiming at a joint simulation requirement, screening out a fault mode needing to be injected from the fault mode library, establishing a relationship between fault mode information and a simulation model through a model grammar rule, and generating a fault model; and (4) according to the requirements of fault combination, fault time and fault injection probability in the simulation of the reusable vehicle, completing fault simulation setting, and carrying out fault joint analog simulation. According to the method, automatic mapping and injection of fault information based on the model are realized, and the analogue simulation requirements of the reusable vehicle under large-scale, cross-system and cross-linking coupling faults are met.

The invention belongs to the technical field of ocean information engineering, and discloses a joint simulation method for a structure collision effect in a floating installation process of an offshore converter station. The joint simulation method comprises the following steps: S1, setting sea condition parameters of an operation sea area and geometric parameters and material parameters of a floating system; s2, initializing a hydrodynamic model and a multi-body model; s3, solving the barge motion equation under the current time step by using the hydrodynamic model to obtain barge motion data; s4, calculating an LMU contact force and a DSU contact force under the current time step according to the barge motion data in the step S3, feeding back the LMU contact force and the DSU contact force to the hydrodynamic model, and updating the external load of the barge; and S5, repeating the steps S3-S4 until simulation in the set time step is completed, and then outputting a simulation result. According to the method, precise calculation of dynamic movement of the floating body and precise simulation of complex contact-nonlinear restoring force of the LMU can be considered, and high-precision simulation analysis of the whole floating installation process of the offshore converter station is achieved.

The invention discloses a wide-body vehicle batch automatic simulation method which comprises the following steps: establishing a hydraulic system dynamic model of a wide-body vehicle, and exporting an FMU model file; establishing a whole vehicle dynamic model of the wide-body vehicle; importing the FMU model file into the whole vehicle dynamic model to form a joint simulation model; combining dynamic response behaviors of the wide-body vehicle under different working conditions with actual engineering experience, and determining a combination of discrete parameters and continuous parameters based on sensitivity analysis; sampling the discrete parameters and the continuous parameters to obtain a parameter combination sample; automatically writing each group of parameter combination samples into an ESL script configuration file to replace simulation input parameters, generating a corresponding simulation task configuration file, and running a Python batch simulation script to perform simulation solution on the whole vehicle model under different parameter combinations; and performing unified archiving and processing on simulation results. According to the wide-body vehicle batch automatic simulation method, the wide-body vehicle simulation analysis efficiency and the data consistency are improved.

The invention discloses an autonomous underwater vehicle hydrodynamic coefficient solving method based on multi-degree-of-freedom coupling driving, and provides a multi-degree-of-freedom dynamic coupling driving joint simulation strategy aiming at the limitations of low efficiency, step-by-step calculation error accumulation and the like of a traditional hydrodynamic coefficient calculation method. Through deep fusion of a system identification theory and a six-degree-of-freedom rigid body motion equation, a full-degree-of-freedom coupling simulation platform based on dynamic grid self-adaption is developed, transverse fluid power interference under plane constraint motion is decoupled, and synchronous iterative solution of six-degree-of-freedom hydrodynamic parameters of surging, swaying, heaving, pitching, rolling and yawing is achieved. According to the method, six-degree-of-freedom coupling motion numerical simulation is carried out by taking an independently researched and developed cheongfish series AUV (Autonomous Underwater Vehicle) as an example, and all hydrodynamic coefficients can be solved only through one-time example calculation. According to the method, the hydrodynamic coefficient of the autonomous underwater vehicle can be rapidly obtained, and the purpose of accurately controlling the autonomous underwater vehicle is achieved.

The invention relates to the technical field of civil engineering material detection, and particularly discloses a performance detection method of self-repairing concrete for civil engineering, which comprises the following steps: acquiring micro-deformation field data of a crack area in real time in a crack induction process, and constructing a joint simulation model; predicting an initial contact state between a crack and a repair material based on the model, extracting interface pressure distribution and effective bonding area change information, and calculating an interface bonding failure risk characteristic value through an improved fuzzy C-means clustering algorithm; a periodic load is applied to a preset crack area, a closed response signal is collected, and a multi-scale crack expansion coupling degree characteristic value is constructed to quantify coordination between microscopic filling and macroscopic recovery; fusing the two feature values into a composite repair quality feature vector, inputting the composite repair quality feature vector into a recognition model based on an improved deep residual network, recognizing and repairing a blind area, and generating a spatial positioning tag map; and finally, dynamically adjusting the monitoring path and the loading frequency according to an identification result.

The invention discloses a system-level coupling modeling method, system, equipment and medium for a multi-wind-wheel multi-tower-drum floating type wind turbine generator set, and relates to the field of simulation modeling, and the method comprises the steps that parameter information of the multi-wind-wheel multi-tower-drum floating type wind turbine generator set is obtained, and a multi-system structural dynamics model is obtained based on the parameter information of the multi-wind-wheel multi-tower-drum floating type wind turbine generator set; the unsteady aerodynamic model, the hydrodynamic model and the mooring structure dynamic model are used for outputting aerodynamic loads, hydrodynamic loads and mooring cable tension, the aerodynamic loads, the hydrodynamic loads and the mooring cable tension are fed back to the multi-system structure dynamic model, and based on a Lagrange framework, the models are subjected to joint simulation operation through a joint simulation interface, so that the mooring cable tension is obtained. And the multi-wind-wheel and multi-tower-drum floating type wind turbine generator is designed. According to the method, a complete system dynamics model can be established, and complete machine level rapid evaluation and engineering iteration under multiple working conditions can be supported.

The invention provides a three-dimensional geological modeling method and device based on attribute variable joint simulation, and relates to the technical field of computers, and the method comprises the steps: obtaining lithology data and grade data of a mining area; classifying the lithologic data, converting lithologic variables in the lithologic data into indication variables by utilizing an indication criterion, performing Gaussian variation on the grade data, and converting the grade data into normal distribution data with a mean value of 0 and a variance of 1; determining the boundary type of the lithologic boundary by using the lagging scatter diagram, and carrying out joint modeling based on the spatial correlation of the boundary grade under the condition that the boundary type is a soft boundary to obtain an initial model; and determining the number of Gaussian random fields, a truncation rule, a truncation threshold, a suite structure and a common region matrix by using the indication variable and the normal distribution data so as to adjust the parameters of the initial model to obtain a target three-dimensional geologic model. According to the method, the data processing flow is simplified, the data search and simulation efficiency is improved, and the adaptability and accuracy of the model are enhanced.

The invention provides a joint simulation method, system and equipment for power supply integrity and signal integrity. The joint simulation method comprises the following steps: acquiring a first excitation signal; the first excitation signal is obtained by a first simulation result obtained by performing power supply integrity simulation on the to-be-tested system according to the second excitation signal; and performing signal integrity simulation on the to-be-tested system according to the first excitation signal and the second excitation signal to generate a second simulation result. According to the invention, by using the result of the power supply integrity simulation as the input of the signal integrity simulation, the power supply dynamic state of the circuit in the actual working environment can be simulated more accurately, and the influence of the power supply noise on the signal quality can be revealed, so that the potential problem can be avoided in the design stage. In addition, the problem of excessive design caused by separate simulation of SI simulation and PI simulation can be avoided, so that a better solution is provided for PPA and cost of a high-speed interface system.

The invention discloses a heat exchanger performance simulation research method which comprises the following steps: S1, an early-stage preparation stage: acquiring reference performance data and structural data of a primary heat exchanger; s2, a joint simulation model building stage: building a one-dimensional system-level model and a three-dimensional refined model; s3, in a joint simulation operation and iteration stage, single-scheme loop iteration is completed according to one-dimensional output, three-dimensional calculation, three-dimensional feedback and one-dimensional adjustment logic, meanwhile, multi-working-condition batch simulation is executed, and performance data is classified and archived; s4, in a result verification and scheme evaluation stage, simulation data are actually measured and compared through a non-reference working condition, a quantitative evaluation report is generated by taking a core performance index as a core, and model parameters are backtracked and calibrated when errors exceed the standard; and S5, a result archiving and reusing stage: systematically archiving simulation related results, packaging a general simulation model template, reserving a structural parameter modification interface, and constructing an associated database to support result retrieval and reusing.

The invention discloses a stratospheric airship structure optimization design method and a stratospheric airship structure optimization design system based on joint simulation, and aims to solve the problems of long design period, low efficiency and the like caused by consideration of optimal aerodynamic performance due to size or volume limitation in existing airship design. According to the method, the shape of a capsule body is set through Python with a Bezier curve method, the shape of an empennage is set through parameterized design, constraint conditions are output, and three-dimensional CAD software is driven to automatically generate an airship shape model; computational fluid dynamics software is used for completing pneumatic simulation and exporting a report, after Python format conversion, engineering simulation optimization software is imported to build an optimization platform, optimization design is carried out with optimal pneumatic performance as a target in combination with constraint conditions, and finally, optimal structure parameters are verified and output. According to the method, full-process automation from parametric modeling, pneumatic simulation to optimization verification is achieved, the design period is shortened, the efficiency and precision of stratospheric airship structure optimization are improved, and it is ensured that a shape scheme with the optimal pneumatic performance is obtained.

Disclosed is a joint modeling and simulation method and system for ocean engineering installation operation, belongs to the technical field of ship and ocean engineering, and particularly relates to joint modeling and simulation for ocean engineering installation operation. The problems of low simulation efficiency, incapability of satisfying real-time requirements of engineering drills, and high time cost caused by repeated development due to difficulty in reuse of a simulation model in the ocean engineering equipment installation operation at present are solved. The method includes the following steps: step S1: acquiring an equipment independent motion simulation model; and step S2: acquiring joint simulation real-time data through motion transmission simulation and load transmission simulation. The joint modeling and simulation method and system for ocean engineering installation operation are applicable to the joint modeling and simulation for ocean engineering installation operation.