Three-component joint simulation system and method based on MAA

Abstract

The invention discloses an MAA-based three-dimensional joint simulation system and method, and relates to the technical field of network system simulation, and the method comprises the steps: building a control system model according to an expected control function and response performance index of a target system, setting an input / output interface, and generating an FMU file of a dynamic response model of the control system; building a finite element analysis model based on detailed geometric information and material mechanics parameters of the structure, applying structural constraints and loads, obtaining structural modal information, and generating an MNF file bearing the structural modal information: importing an FMU file and the MNF file, establishing a joint simulation model in combination with a kinematic pair and constraints, and calculating and outputting kinematic and dynamic data of the system; data combination is carried out through data conversion interfaces between the modules, real-time interaction and dynamic closed-loop optimization of interdisciplinary data are achieved, the system design is more comprehensive and accurate, and the overall performance and the optimization effect are improved.

Description

Technical Field

[0001] The present invention relates to the technical field of network system simulation, and in particular to a MAA-based three-way joint simulation system and method. Background Art

[0002] With the continuous development of engineering technology, finite element analysis, control system simulation, and motion system simulation have become important means for system design and optimization. In complex mechanical, pneumatic, and structural analysis, ADAMS, ABAQUS, and MWORKS are responsible for kinematic and dynamic analysis, finite element analysis, and pneumatic and fluid dynamics simulation, respectively.

[0003] However, existing methods operate independently, without close disciplinary coupling or an effective joint simulation process. This results in insufficient consideration of the interactions between different modules, impacting simulation accuracy and efficiency. This traditional approach has the following major drawbacks:

[0004] (1) Lack of synergy between modules: ABAQUS, ADAMS, and MWORKS operate as independent modules, lacking real-time data sharing and unable to effectively consider the mutual influence between different disciplines.

[0005] (2) Low simulation efficiency and long cycle: Modules are executed independently, which increases time consumption, reduces simulation efficiency, and prolongs the optimization cycle.

[0006] (3) Lack of multidisciplinary collaborative optimization: It is impossible to perform structural, dynamic, and control system analysis simultaneously in the same simulation process, resulting in the inability to perform global performance optimization and limiting the system design potential.

[0007] In view of this, the present invention provides a three-way joint simulation system and method based on MAA to solve the above problems. Summary of the Invention

[0008] The purpose of the present invention is to provide a three-way joint simulation system and method based on MAA, so that multidisciplinary simulation contents such as flexible bodies, rigid bodies and control systems can be calculated in a unified manner, thereby improving the accuracy of simulation results and the efficiency of system analysis.

[0009] In order to achieve the above object, the present invention provides the following technical solutions:

[0010] In the first aspect, the present invention provides a three-part joint simulation system based on MAA, including a control system simulation module, a finite element analysis module, and a multi-body dynamics simulation module:

[0011] The control system simulation module builds a control system model based on the expected control functions and response performance indicators of the target system, sets input and output interfaces, and generates the FMU file of the control system dynamic response model;

[0012] The finite element analysis module builds a finite element analysis model based on the detailed geometric information of the structure and the mechanical parameters of the materials, applies structural constraints and loads, obtains structural modal information, and generates an MNF file that carries the structural modal information:

[0013] Multi-body dynamics simulation module imports FMU files and MNF files, and combines kinematic pairs and constraints to establish a joint simulation model, calculate and output system kinematics and dynamics data;

[0014] The joint simulation module combines data through the data conversion interface between modules. The FMU file transmits the dynamic response data of the control system to guide and constrain the dynamic simulation in the multi-body dynamics simulation module. The MNF file transmits the structural modal information, so that the multi-body dynamics simulation module can accurately simulate the dynamic response of the flexible structure.

[0015] As a preferred technical solution of the first aspect of the present invention, the control system model is constructed according to the expected control function and response performance index of the target system, including:

[0016] Clarify the target system response speed, control accuracy and control algorithm logic;

[0017] Load the model library resources required by the target control system and determine the connection relationship and parameters of each component;

[0018] Input the test signal and repeatedly adjust the parameters until the simulation output data meets the expected functions and response performance indicators of the target system.

[0019] As a preferred technical solution of the first aspect of the present invention, the model library resources required for loading the target control system include:

[0020] Locate the model component library based on the predefined resource library index;

[0021] Select components based on system requirements and determine their specific operating parameters through a pre-defined parameterized configuration interface.

[0022] As a preferred technical solution of the first aspect of the present invention, the construction of a finite element analysis model based on detailed geometric information of the structure and material mechanical parameters includes:

[0023] Import the structural geometry model after model cleaning and geometry repair;

[0024] Set the material properties of the structure and set assembly constraints based on the structural assembly relationship;

[0025] Mesh the structure and check the mesh quality to ensure the finite element model is suitable for modal analysis.

[0026] As a preferred technical solution of the first aspect of the present invention, the importing of the structural geometric model after model cleaning and geometric repair includes:

[0027] Use SolidWorks to remove redundant and erroneous features from the original model;

[0028] Automatic geometry repair is performed on the cleaned structural model to meet the model accuracy requirements of finite element analysis.

[0029] As a preferred technical solution of the first aspect of the present invention, the importing of the FMU file and the MNF file, and establishing a joint simulation model in combination with the kinematic pairs and constraints, includes:

[0030] Import the MNF file based on the basic simulation model and replace the corresponding rigid body parts with flexible bodies;

[0031] Import the FMU file and establish the coupling relationship between the control system dynamic response model and the physical parameters of the co-simulation model.

[0032] As a preferred technical solution of the first aspect of the present invention, the establishment of a coupling relationship between the control system dynamic response model and the physical parameters of the joint simulation model includes:

[0033] Define the mapping relationship between the output variables in the FMU file and the physical variables of the co-simulation model;

[0034] The simulation interface software is used to realize the data coupling between the real-time output of the control system dynamic response model and the real-time input of the joint simulation model.

[0035] As a preferred technical solution of the first aspect of the present invention, adjusting the control system model parameters according to the system kinematics and dynamics data and regenerating the FMU file includes:

[0036] Analyze system dynamic response data from co-simulation results to determine deviations from expected control performance;

[0037] Automatically adjust the control system model parameters based on the deviation, and re-execute the control system simulation and FMU file generation.

[0038] As a preferred technical solution of the first aspect of the present invention, adjusting the structural analysis constraints and loads according to the system kinematics and dynamics data to regenerate the MNF file of the structural modal information includes:

[0039] Extract the structural stress and displacement data from the joint simulation results to determine the structural area that needs to be optimized; S105.2: Reset the constraints and load conditions in the optimization area, repeat the finite element analysis and regenerate the MNF file of the structural modal information.

[0040] In a second aspect, the present invention provides a three-way joint simulation method based on MAA, which, based on the implementation of the first aspect, includes the following steps:

[0041] S101: Build a control system model based on the expected control functions and response performance indicators of the target system, set the input and output interfaces, and generate the FMU file of the control system dynamic response model;

[0042] S102: Build a finite element analysis model based on the detailed geometric information of the structure and the material mechanical parameters, apply structural constraints and loads, obtain structural modal information, and generate an MNF file that carries the structural modal information;

[0043] S103: Import the FMU file and MNF file, and establish a joint simulation model by combining the kinematic pairs and constraints to calculate and output the system kinematic and dynamic data;

[0044] S104: Adjust the control system model parameters according to the system kinematics and dynamics data, regenerate the FMU file, and update the system dynamic response model;

[0045] S105: Adjust the structural analysis constraints and loads according to the system kinematics and dynamics data, regenerate the MNF file of the structural modal information, and update the finite element analysis model.

[0046] In the above technical solution, the technical effects and advantages provided by the present invention are:

[0047] By integrating the joint simulation process of MWORKS, ABAQUS and ADAMS, the present invention realizes the close coordination of control system, finite element analysis and multi-body dynamics simulation, significantly improves the simulation accuracy and efficiency, shortens the optimization cycle, and realizes real-time interaction of interdisciplinary data and dynamic closed-loop optimization, making the system design more comprehensive and accurate, and improving the overall performance and optimization effect. BRIEF DESCRIPTION OF THE DRAWINGS

[0048] In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the following briefly introduces the drawings required for use in the embodiments. Obviously, the drawings described below are only some embodiments described in the present invention. For ordinary technicians in this field, other drawings can also be obtained based on these drawings.

[0049] Figure 1 This is a structural framework diagram of the joint simulation system of the present invention.

[0050] Figure 2 This is a logic flow chart of the control system simulation module of the present invention;

[0051] Figure 3 It is a logic flow chart of the finite element analysis module application of the present invention;

[0052] Figure 4 This is a logic flow chart of the multi-body dynamics simulation module application of the present invention;

[0053] Figure 5 This is a flow chart of the joint simulation method of the present invention. DETAILED DESCRIPTION

[0054] Example embodiments will now be described more fully with reference to the accompanying drawings. However, example embodiments can be implemented in a variety of forms and should not be construed as limited to the examples set forth herein; rather, these example embodiments are provided so that the description of this disclosure will be more comprehensive and complete, and will fully convey the concepts of the example embodiments to those skilled in the art. The accompanying drawings are merely schematic illustrations of the present disclosure and are not necessarily drawn to scale. Identical reference numerals in the figures indicate identical or similar parts, and thus repeated descriptions thereof will be omitted.

[0055] In addition, the described features, structures or characteristics can be combined in any suitable manner in one or more example embodiments. In the following description, many specific details are provided to provide a full understanding of the example embodiments of the present disclosure. However, those skilled in the art will appreciate that the technical solutions of the present disclosure can be practiced while omitting one or more of the specific details, or methods, components, steps, etc. In other cases, well-known structures, methods, implementations or operations are not shown or described in detail to avoid obscuring various aspects of the present disclosure.

[0056] Example 1

[0057] like Figure 1 As shown, this embodiment provides a three-part joint simulation system based on MAA, including a control system simulation module, a finite element analysis module, and a multi-body dynamics simulation module. The three are closely integrated, and a data collaboration mechanism is established between the simulation modules through the joint simulation module. This enables unified calculation of multidisciplinary simulation contents such as flexible bodies, rigid bodies, and control systems, thereby improving the accuracy of simulation results and the efficiency of system analysis. Among them:

[0058] The control system simulation module (MWORKS module) builds a control system model based on the expected control functions and response performance indicators of the target system, sets input and output interfaces, and generates the FMU file of the control system dynamic response model.

[0059] It should be noted that the control system model refers to the logical model and structural model built in the simulation software (such as the MWORKS module). It defines the logical relationship, parameter settings, operating rules and connection methods of the various components of the control system, and is a complete model architecture.

[0060] The control system dynamic response model (FMU file) is a standardized model file (FMU) derived from a control system model after simulation. The FMU file contains all the dynamic characteristics and response features of the control system model, clearly defines the input and output interfaces, and can be run in real time in a co-simulation environment.

[0061] The control system dynamic response model (FMU) is a dynamic model of the control system model that can run independently and output control responses in real time after simulation calculation. The FMU model is the actual operation and interaction form of the control system model. It is the specific embodiment of the control system model in the joint simulation environment and reflects the dynamic characteristics and real-time response capabilities of the control system model.

[0062] Specifically, if Figure 2 As shown, the specific functional steps of the MWORKS module are:

[0063] Data preparation: Clarify the expected functions and performance indicators of the control system, such as response speed and control accuracy; obtain information such as system physical parameters, control algorithm logic, and external input conditions;

[0064] Model building: load the required model library resources, build the control system model, and set component parameters;

[0065] Model optimization: check the correctness of model syntax, connections, and logic, input test signals for simulation, observe the output and compare it with expectations, adjust model parameters based on simulation results, and repeat the simulation until the target is met;

[0066] To export the FMU file, set the input and output interfaces in the built model, select the "FMU" export option, and set the appropriate sampling time interval and save address.

[0067] Finite element analysis module (ABAQUS module) builds a finite element analysis model based on the detailed geometric information of the structure and the mechanical parameters of the materials, applies structural constraints and loads, obtains structural modal information, generates an MNF file that carries the structural modal information, and focuses on processing the physical properties of the flexible body.

[0068] Specifically, if Figure 3 As shown in the figure, the specific functional steps of the ABAQUS module (finite element analysis module) are:

[0069] Model pre-processing: Collect and analyze detailed geometric information of the structure, obtain various mechanical parameters of the materials used in the structure, use SolidWorks to clean and simplify the model, and use SolidWorks to perform geometric repair on the model;

[0070] Model construction: Import the modified model, assign material properties to the components, assemble the components according to the assembly relationship, and set assembly constraints;

[0071] Analysis setup: define interactions, apply boundary constraints, and apply various loads;

[0072] Meshing: select mesh parameters, divide and check mesh quality;

[0073] Job submission: Plan the analysis step type and parameters, edit the keywords, and submit the job for solution. To edit the keywords, first locate the *Substructure Generate line and replace them. For example: *SubstructureGenerate,overwrite,type=Z10,recovery matrix=YES,MASS MATRIX=YES*FLEXIBLEBODY,TYPE=ADAMS;

[0074] Output the MNF file, open the command window, cd to the file location where the job is saved, and enter the instructions to generate the mnf file. The instructions need to correspond to the keyword data in the previous step, for example: abaqus adams job = Job-1substructure_sim = Job-1_Z10 model_odb = Job-1length = mm mass = tonne time = sec force = N.

[0075] The Multibody Dynamics Simulation Module (ADAMS) imports FMU and MNF files, combines kinematic pairs and constraints to build a co-simulation model, and calculates and outputs system kinematic and dynamic data. It is responsible for executing global multibody dynamics simulations. It receives control system models from MWORKS and structural modal data from ABAQUS to perform kinematic and dynamic analysis of the entire system.

[0076] Specifically, if Figure 4 As shown in the figure, the specific functional steps of the multi-body dynamics simulation module (ADAMS module) are:

[0077] Model preparation: import the basic model, import the MNF file to replace the rigid body components;

[0078] Model improvement: build kinematic pairs and constraints, import FMU files and connect the model;

[0079] Simulation analysis: set simulation parameters and run simulation;

[0080] Optimization iteration: Based on the evaluation results, identify the problems in the system, determine the aspects that need to be optimized, optimize the model and re-simulate.

[0081] Joint simulation module: Model each module separately, and then combine the data through the data conversion interface between modules. The FMU file transmits the dynamic response data of the control system to guide and constrain the dynamic simulation in the multi-body dynamics simulation module. The MNF file transmits the structural modal information, so that the multi-body dynamics simulation module can accurately simulate the dynamic response of the flexible structure.

[0082] Specifically, the data generated after simulation by the multi-body dynamics simulation module, such as the system's displacement, velocity, stress, etc., are fed back to the control system simulation module and the finite element analysis module to support the parameter adjustment of the control system and the optimization of the structural design.

[0083] Each module achieves close multidisciplinary collaborative simulation through clear data interfaces (FMU, MNF files) and a clear data feedback mechanism. The closed-loop design of the joint simulation significantly improves simulation efficiency and accuracy, ensuring the optimization of the overall system performance.

[0084] Further explanation is: the transmission logic of data flow between modules is:

[0085] Data transfer from the control system simulation module to the multibody dynamics simulation module: The FMU file exported by the control system simulation module contains control system data. When exporting the FMU file, the control system simulation module sets the output variables and sampling time as described above. After importing the FMU file, the multibody dynamics simulation module associates its input and output variables with the physical quantities of its own model, enabling the control system to control the motion of the mechanical system.

[0086] Data transfer from the Finite Element Analysis module to the Multibody Dynamics Simulation module: The MNF file exported by the Finite Element Analysis module contains structural modal information. When exporting the MNF file from the Finite Element Analysis module, select the appropriate modal information range for export. The Multibody Dynamics Simulation module imports the MNF file, incorporates the flexible body information into the model, and simulates the dynamic behavior of the flexible body.

[0087] The multibody dynamics simulation module feeds simulation results, such as component displacements and stresses, to the control system simulation module and the finite element analysis module. The finite element analysis module outputs this feedback data in a specific data format (e.g., text file, database) or through a software interface. MWORKS adjusts the control algorithm accordingly, and the finite element analysis module optimizes the structural design, achieving collaborative model optimization.

[0088] Example 2

[0089] like Figure 5 As shown, this embodiment provides a three-way joint simulation method based on MAA, including the following steps:

[0090] S101: Build a control system model based on the expected control functions and response performance indicators of the target system, set the input and output interfaces, and generate the FMU file of the control system dynamic response model;

[0091] S102: Build a finite element analysis model based on the detailed geometric information of the structure and the material mechanical parameters, apply structural constraints and loads, obtain structural modal information, and generate an MNF file that carries the structural modal information;

[0092] S103: Import the FMU file and MNF file, and establish a joint simulation model by combining the kinematic pairs and constraints to calculate and output the system kinematic and dynamic data;

[0093] S104: Adjust the control system model parameters according to the system kinematics and dynamics data, regenerate the FMU file, and update the system dynamic response model;

[0094] S105: Adjust the structural analysis constraints and loads according to the system kinematics and dynamics data, regenerate the MNF file of the structural modal information, and update the finite element analysis model.

[0095] The control system model is constructed according to the expected control function and response performance index of the target system, including:

[0096] Clarify the target system response speed, control accuracy and control algorithm logic;

[0097] Load the model library resources required by the target control system and determine the connection relationship and parameters of each component;

[0098] Input the test signal and repeatedly adjust the parameters until the simulation output data meets the expected functions and response performance indicators of the target system.

[0099] The model library resources required for loading the target control system include:

[0100] Locate the model component library based on the predefined resource library index;

[0101] Select components based on system requirements and determine their specific operating parameters through a pre-defined parameterized configuration interface.

[0102] The finite element analysis model is constructed based on the detailed geometric information of the structure and the mechanical parameters of the materials, including:

[0103] Import the structural geometry model after model cleaning and geometry repair;

[0104] Set the material properties of the structure and set assembly constraints based on the structural assembly relationship;

[0105] Mesh the structure and check the mesh quality to ensure the finite element model is suitable for modal analysis.

[0106] The imported structural geometric model after model cleaning and geometric repair includes:

[0107] Use SolidWorks to remove redundant and erroneous features from the original model;

[0108] Automatic geometry repair is performed on the cleaned structural model to meet the model accuracy requirements of finite element analysis.

[0109] The importing of FMU files and MNF files and establishing a joint simulation model in combination with kinematic pairs and constraints include:

[0110] Import the MNF file based on the basic simulation model and replace the corresponding rigid body parts with flexible bodies;

[0111] Import the FMU file and establish the coupling relationship between the control system dynamic response model and the physical parameters of the co-simulation model.

[0112] The establishing of the coupling relationship between the control system dynamic response model and the physical parameters of the joint simulation model includes:

[0113] Define the mapping relationship between the output variables in the FMU file and the physical variables of the co-simulation model;

[0114] The simulation interface software is used to realize the data coupling between the real-time output of the control system dynamic response model and the real-time input of the joint simulation model.

[0115] The control system model parameters are adjusted according to the system kinematics and dynamics data to regenerate the FMU file, including:

[0116] Analyze system dynamic response data from co-simulation results to determine deviations from expected control performance;

[0117] Automatically adjust the control system model parameters based on the deviation, and re-execute the control system simulation and FMU file generation.

[0118] The adjustment of structural analysis constraints and loads based on the system kinematics and dynamics data to regenerate the MNF file of structural modal information includes:

[0119] Extract the structural stress and displacement data from the joint simulation results to determine the structural area that needs to be optimized; S105.2: Reset the constraints and load conditions in the optimization area, repeat the finite element analysis and regenerate the MNF file of the structural modal information.

[0120] The MAA-based three-party joint simulation system provided in an embodiment of the present invention is used to execute a MAA-based three-party joint simulation method provided in the above-mentioned embodiments of the present invention. The specific methods and processes for implementing corresponding functions of each structure included in the MAA-based three-party joint simulation system are detailed in the above-mentioned embodiment of the MAA-based three-party joint simulation method, and will not be repeated here.

[0121] The above description is merely illustrative of certain exemplary embodiments of the present invention. It goes without saying that those skilled in the art will be able to modify the described embodiments in various ways without departing from the spirit and scope of the present invention. Therefore, the above drawings and description are illustrative in nature and should not be construed as limiting the scope of protection of the claims.

Claims

1. A three-part joint simulation system based on MAA, characterized in that: It includes control system simulation module, finite element analysis module and multi-body dynamics simulation module, and establishes a data collaborative working mechanism for each simulation module through a joint simulation module: The control system simulation module builds a control system model based on the expected control functions and response performance indicators of the target system, sets input and output interfaces, and generates the FMU file of the control system dynamic response model; The finite element analysis module builds a finite element analysis model based on the detailed geometric information of the structure and the mechanical parameters of the materials, applies structural constraints and loads, obtains structural modal information, and generates an MNF file that carries the structural modal information: Multi-body dynamics simulation module imports FMU files and MNF files, and combines kinematic pairs and constraints to establish a joint simulation model, calculate and output system kinematics and dynamics data; The joint simulation module (ADAMS module) combines data through the data conversion interface between modules. The FMU file transmits the dynamic response data of the control system to guide and constrain the dynamic simulation in the multi-body dynamics simulation module. The MNF file transmits the structural modal information, so that the multi-body dynamics simulation module can accurately simulate the dynamic response of the flexible structure.

2. The MAA-based three-party joint simulation system according to claim 1, characterized in that: The control system model is constructed according to the expected control function and response performance index of the target system, including: Clarify the target system response speed, control accuracy and control algorithm logic; Load the model library resources required by the target control system and determine the connection relationship and parameters of each component; Input the test signal and repeatedly adjust the parameters until the simulation output data meets the expected functions and response performance indicators of the target system.

3. The MAA-based three-party joint simulation system according to claim 2, characterized in that: The model library resources required for loading the target control system include: Locate the model component library based on the predefined resource library index; Select components based on system requirements and determine their specific operating parameters through a pre-defined parameterized configuration interface.

4. The MAA-based three-party joint simulation system according to claim 1, characterized in that: The finite element analysis model is constructed based on the detailed geometric information of the structure and the mechanical parameters of the materials, including: Import the structural geometry model after model cleaning and geometry repair; Set the material properties of the structure and set assembly constraints based on the structural assembly relationship; Mesh the structure and check the mesh quality to ensure the finite element model is suitable for modal analysis.

5. The MAA-based three-party joint simulation system according to claim 4, characterized in that: The imported structural geometric model after model cleaning and geometric repair includes: Use SolidWorks to remove redundant and erroneous features from the original model; Automatic geometry repair is performed on the cleaned structural model to meet the model accuracy requirements of finite element analysis.

6. The MAA-based three-party joint simulation system according to claim 5, characterized in that: The importing of FMU files and MNF files and establishing a joint simulation model in combination with kinematic pairs and constraints include: Import the MNF file based on the basic simulation model and replace the corresponding rigid body parts with flexible bodies; Import the FMU file and establish the coupling relationship between the control system dynamic response model and the physical parameters of the co-simulation model.

7. The MAA-based three-party joint simulation system according to claim 6, characterized in that: The establishing of the coupling relationship between the control system dynamic response model and the physical parameters of the joint simulation model includes: Define the mapping relationship between the output variables in the FMU file and the physical variables of the co-simulation model; The simulation interface software is used to realize the data coupling between the real-time output of the control system dynamic response model and the real-time input of the joint simulation model.

8. The MAA-based three-party joint simulation system according to claim 1, characterized in that: The control system model parameters are adjusted according to the system kinematics and dynamics data to regenerate the FMU file, including: Analyze system dynamic response data from co-simulation results to determine deviations from expected control performance; Automatically adjust the control system model parameters based on the deviation, and re-execute the control system simulation and FMU file generation.

9. The MAA-based three-party joint simulation system according to claim 1, characterized in that: The adjustment of structural analysis constraints and loads based on the system kinematics and dynamics data to regenerate the MNF file of structural modal information includes: Extract the structural stress and displacement data from the joint simulation results to determine the structural area that needs to be optimized; S105.2: Reset the constraints and load conditions in the optimization area, repeat the finite element analysis and regenerate the MNF file of the structural modal information.

10. A MAA-based three-party joint simulation method, based on the implementation of the MAA-based three-party joint simulation system according to any one of claims 1 to 9, characterized in that: The following steps are involved: S101: Build a control system model based on the expected control functions and response performance indicators of the target system, set the input and output interfaces, and generate the FMU file of the control system dynamic response model; S102: Build a finite element analysis model based on the detailed geometric information of the structure and the material mechanical parameters, apply structural constraints and loads, obtain structural modal information, and generate an MNF file that carries the structural modal information; S103: Import the FMU file and MNF file, and establish a joint simulation model by combining the kinematic pairs and constraints to calculate and output the system kinematic and dynamic data; S104: Adjust the control system model parameters according to the system kinematics and dynamics data, regenerate the FMU file, and update the system dynamic response model; S105: Adjust the structural analysis constraints and loads according to the system kinematics and dynamics data, regenerate the MNF file of the structural modal information, and update the finite element analysis model.

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