Method and device for digitally simulating and checking structural strength of ship

Abstract

The invention provides a ship structural strength digital simulation verification method and device. The method comprises the following steps: constructing a three-dimensional digital model of a ship structure according to a ship design drawing and a design specification; setting load and boundary conditions according to the operation environment and design requirements of the ship; carrying out finite element division on the constructed three-dimensional digital model by adopting finite element analysis software, and carrying out finite element analysis calculation according to set load and boundary conditions to obtain mechanical responses of stress and strain of the ship structure; and according to a finite element analysis result, checking and evaluating the structural strength of the ship, and if the requirement is not met, carrying out optimization design on the three-dimensional digital model, and carrying out finite element analysis and strength checking again. The problems that an existing ship structure strength checking method is insufficient in model precision, low in calculation efficiency and not high in checking result credibility are solved.

Description

Technical Field

[0001] The present application relates to the technical field of ship design and manufacturing, and in particular to a digital simulation verification method and device for ship structure strength. Background Art

[0002] Ship structure strength verification is a key link to ensure the safe operation of ships. It verifies whether the strength and stability of the ship under various working conditions meet the design requirements through detailed mechanical analysis and calculation of the ship structure. In this process, it is necessary to consider various load factors such as hydrostatic pressure, wave impact, cargo weight, etc., as well as the material properties, geometric shape and connection method of the structure itself.

[0003] In the field of ship structure strength verification, traditional methods often rely on simplified physical models and manual calculations, which leads to the problem of insufficient model accuracy. Due to the complexity of ship structures, simplified physical models often cannot accurately reflect the actual stress distribution and deformation, thus affecting the accuracy of the verification results. In addition, traditional calculation methods are inefficient and difficult to adapt to large-scale, high-precision calculation needs. During the ship design process, a large amount of strength verification and analysis is required, and traditional methods often require a lot of time and computing resources, which limits design efficiency and innovation capabilities. At the same time, due to insufficient model accuracy and inefficient calculation methods, the results obtained by traditional verification methods are not credible, which may lead to safety hazards during ship operation and pose a threat to the safety of personnel and property. Summary of the invention

[0004] The purpose of the present application is to provide a method and device for digital simulation verification of ship structure strength, which can at least partially solve the above-mentioned technical problems existing in the prior art.

[0005] One aspect of the present application provides a digital simulation verification method for the strength of a ship structure. The method includes: constructing a three-dimensional digital model of the ship structure according to the ship design drawings and design specifications; setting loads and boundary conditions according to the ship's operating environment and design requirements; using finite element analysis software to perform finite element division on the constructed three-dimensional digital model, and performing finite element analysis and calculation according to the set loads and boundary conditions to obtain the mechanical response of the stress and strain of the ship structure; verifying and evaluating the strength of the ship structure according to the finite element analysis results, and if it does not meet the requirements, optimizing the design of the three-dimensional digital model, and re-performing finite element analysis and strength verification.

[0006] Furthermore, the method also includes: visualizing the finite element analysis results and the strength verification results to generate intuitive charts; and / or generating a verification report based on the strength verification results.

[0007] Furthermore, the method also includes: performing fine processing on the three-dimensional digital model.

[0008] Furthermore, the fine processing of the three-dimensional digital model includes: setting material nonlinear parameters and geometric nonlinear parameters of the ship; using a nonlinear solver to perform nonlinear analysis on the three-dimensional digital model to obtain stress and strain responses of the ship structure.

[0009] Furthermore, the refinement of the three-dimensional digital model includes one or more of the following processing methods: using a more refined modeling method for complex connection parts of the ship structure, including: using a mixture of shell units and solid units; refining the grid near the connection parts of the ship structure; setting contact parameters for the connection parts in the ship structure where there is contact behavior.

[0010] Furthermore, the refining of the three-dimensional digital model includes: performing uncertainty analysis on boundary conditions by adopting a probabilistic statistical method to evaluate the influence of boundary conditions on the strength of the ship structure.

[0011] Furthermore, the refining of the three-dimensional digital model includes: simulating welding residual stress on welding parts of the ship structure to evaluate the influence of welding residual stress on the strength of the ship structure.

[0012] Furthermore, the setting of loads and boundary conditions includes: Determination and calculation of load types, including: identifying the main load types in the ship's operating environment, which include one or more of hydrostatic pressure, wave load and wind load; calculating the specific value of each load according to the ship's design requirements and operating environment and related hydrodynamics and wind engineering theories, and performing statistical analysis or time domain simulation on the loads; Boundary condition setting includes: determining the type of boundary conditions according to the characteristics of the ship structure and the needs of the simulation analysis, wherein the boundary condition type includes one or more of fixed constraints, hinged constraints and sliding constraints; setting the position and parameters of the boundary conditions in the three-dimensional digital model; verifying the loads and boundary conditions, and adjusting and optimizing the loads and boundary conditions accordingly according to the verification results.

[0013] Furthermore, the finite element division of the constructed three-dimensional digital model includes: according to the characteristics of the ship structure and the load distribution, the three-dimensional digital model is divided into adaptive grids.

[0014] Furthermore, the adaptive meshing of the three-dimensional digital model according to the characteristics of the ship structure and the load distribution includes: constructing a stress distribution function of the ship structure; dynamically adjusting the density of the meshing according to the stress distribution function of the ship structure, wherein the greater the stress value, the greater the value of the mesh density adjustment factor, and accordingly, the mesh density increases.

[0015] Furthermore, performing finite element analysis calculation according to the set load and boundary conditions includes: performing finite element analysis according to the set load and boundary conditions and adopting parallel computing technology.

[0016] Furthermore, verifying and evaluating the strength of the ship structure includes: verifying and evaluating the strength of the ship structure using an allowable stress method.

[0017] Furthermore, the strength of the ship structure is determined according to the following stress calculation formula:

[0018] in, Represents the ship structure strength evaluated by the allowable stress method, represents the maximum stress value in the ship structure, σ represents the allowable stress value, and the material parameters and structural parameters are the material parameters and structural parameters that affect the strength of the ship structure. When the ship structure strength calculated by the stress calculation formula is less than or equal to the allowable stress value, it is determined that the ship structure meets the strength requirements; when the ship structure strength calculated by the stress calculation formula is greater than the allowable stress value, it is determined that the strength of the ship structure is insufficient.

[0019] Furthermore, the optimization design of the three-dimensional digital model includes one or more of the following methods: increasing the structural thickness of the ship; changing the material properties of the ship; optimizing the structural shape of the ship; optimizing the structural connection method of the ship.

[0020] Another aspect of the present application provides a digital simulation verification device for ship structure strength. The device includes a memory, a processor, and a computer program stored in the memory and executable on the processor, and the processor implements the steps of the digital simulation verification method for ship structure strength when executing the computer program.

[0021] The digital simulation verification method and device for ship structure strength of the present application solve the problems of insufficient model accuracy, low calculation efficiency and low credibility of verification results in existing ship structure strength verification methods. BRIEF DESCRIPTION OF THE DRAWINGS

[0022] Figure 1A schematic flow chart of a digital simulation verification method for ship structure strength according to an embodiment of the present application.

[0023] Figure 2 A schematic block diagram of a digital simulation verification device for ship structure strength according to an embodiment of the present application. DETAILED DESCRIPTION

[0024] Exemplary embodiments will be described in detail herein, examples of which are shown in the accompanying drawings. When the following description refers to the drawings, unless otherwise indicated, the same numbers in different drawings represent the same or similar elements. The embodiments described in the following exemplary embodiments do not represent all embodiments consistent with the present application. Instead, they are merely examples of devices consistent with some aspects of the present application as detailed in the appended claims.

[0025] The following is a detailed description of the digital simulation verification method and device for ship structure strength of each embodiment of the present application in conjunction with the accompanying drawings. In the absence of conflict, the features of the following embodiments and implementations can be combined with each other.

[0026] Figure 1 The present invention discloses a flow chart of a digital simulation verification method for ship structure strength according to an embodiment of the present invention. Figure 1 As shown, a digital simulation verification method for ship structure strength according to an embodiment of the present application may include steps S1 to S4.

[0027] In step S1 , a three-dimensional digital model of the ship structure may be constructed according to the ship design drawings and design specifications by using, for example, CAD / CAE (Computer-Aided Design / Computer Aided Engineering) software.

[0028] In some embodiments, the digital simulation verification method for ship structure strength of the present application may further include: a step of performing fine processing on the three-dimensional digital model, thereby further improving the precision and accuracy of the model.

[0029] Since the ship structure may show obvious nonlinear behavior during the stress process, such as material nonlinearity, geometric nonlinearity, etc. These nonlinear factors will have a significant impact on the strength of the ship structure, and therefore need to be considered in the simulation verification. Therefore, optionally, the refinement of the three-dimensional digital model may include step S11 and step S12.

[0030] In step S11, the material nonlinear parameters and geometric nonlinear parameters of the ship are set.

[0031] For nonlinear material behavior: Identify material properties: First, it is necessary to accurately identify the nonlinear properties of the material used, such as plasticity, creep, strain hardening, etc. This usually relies on the mechanical properties test data of the material; Set material model: In the simulation software, set the corresponding material model according to the identified material properties. For example, for plastic materials, it is necessary to define the yield criterion, flow law, and hardening law; Parameter calibration: Use experimental data to calibrate the parameters in the material model to ensure the accuracy of the simulation results.

[0032] For geometric nonlinearity: Identify the source of geometric nonlinearity: Analyze the geometric nonlinear behavior that may occur in the ship structure during stress, such as large deformation, buckling, etc.; Set geometric nonlinear options: In the simulation software, enable the geometric nonlinear options and set the corresponding solution parameters, such as iteration method, convergence criterion, etc.

[0033] In step S12, a nonlinear solver is used to perform nonlinear analysis on the three-dimensional digital model to obtain the stress and strain response of the ship structure.

[0034] Choose a solver: Choose an appropriate nonlinear solver based on the complexity and scale of the problem. Common nonlinear solvers include the Newton-Raphson method, the arc length method, etc.

[0035] Set solution parameters: According to the requirements of the solver, set the corresponding solution parameters, such as initial step size, maximum number of iterations, convergence tolerance, etc.

[0036] Execute the solution: Run the solver to perform nonlinear analysis on the 3D digital model to obtain the stress, strain and other responses of the ship structure.

[0037] The following is a detailed description of the process of solving the problem using a nonlinear solver, including the input, solution process, and output of the nonlinear solver.

[0038] The input of the nonlinear solver mainly includes the following aspects: Objective function: This is the function to be minimized or maximized, usually representing some performance indicator of the structure, such as stress, strain energy or displacement.

[0039] Initial guess: Provides an initial solution to the solver, which helps the solver converge to the final solution faster. The initial guess can be randomly generated or set based on the physical context of the problem.

[0040] Constraints: These conditions limit the range of feasible solutions. In ship structure simulation, constraints may include geometric constraints (such as the size and shape of the structure), physical constraints (such as the mechanical properties of materials and boundary conditions), and other specific engineering constraints. Nonlinear constraints may include material yield conditions, geometric deformation restrictions, or contact conditions.

[0041] Nonlinear parameters: These parameters describe the nonlinear behavior of the structure, such as the plastic parameters of the material, geometric nonlinear parameters (such as large deformation parameters), and welding residual stresses.

[0042] The solution process of a nonlinear solver is usually an iterative process that aims to find a solution that satisfies the constraints and optimizes the objective function. This process may include the following steps: Initialization: Set the internal state of the solver, including iteration counter, convergence criteria, etc.

[0043] Iterative solution: In each iteration, the solver calculates the gradient and Hessian matrix (or approximation) of the objective function based on the current solution and constraints, and uses this information to update the solution. This process may involve complex mathematical operations such as linear algebra, optimization algorithms, and numerical analysis.

[0044] Convergence check: After each iteration, the solver checks whether the current solution meets the convergence criteria. The convergence criteria may be based on the amount of change in the solution, the gradient of the objective function, or the norm of the Hessian matrix. If the convergence criteria are met, the solution process ends; otherwise, the iteration continues.

[0045] The output of the nonlinear solver mainly includes the following aspects: Optimal solution: This is the solution that satisfies the constraints and optimizes the objective function. In ship structure simulation, the optimal solution may represent the stress distribution, deformation or other performance indicators of the structure.

[0046] Objective function value: The objective function value calculated at the optimal solution. This value can be used to evaluate the performance of the structure or perform comparative analysis.

[0047] Convergence information: including the number of iterations, whether the convergence criteria are met, etc. This information helps to understand the stability and efficiency of the solution process.

[0048] Other outputs: Depending on the specific implementation of the solver and user requirements, other relevant information may also be output, such as gradient vectors, Hessian matrices, Lagrange multipliers, etc.

[0049] In summary, when using a nonlinear solver to solve a problem, it is necessary to clearly input information (including the objective function, initial guess, constraints, and nonlinear parameters, etc.), and then find the optimal solution through an iterative solution process. Finally, the solver will output the optimal solution and related information for the user to analyze and evaluate.

[0050] Optionally, the refinement processing of the three-dimensional digital model may further include step S13.

[0051] In step S13, a more sophisticated modeling method can be used for complex connection parts of the ship structure, such as welded joints, bolted connections, etc. For example, a mixture of shell elements and solid elements can be used to help accurately simulate the stress distribution and deformation of the connection parts.

[0052] In the early stage of model building, the geometry, material properties, boundary conditions, etc. of the model can be preliminarily determined according to the characteristics of the ship structure, load distribution, and analysis requirements. At this time, the model may use a simpler unit type (such as all solid units or shell units) for rapid construction and analysis.

[0053] As the analysis progresses, it may be found that the stress distribution and deformation of certain parts are more complex, requiring more sophisticated modeling methods to accurately simulate. The mixed use of shell elements and solid elements is one of the refined processing methods, which combines the advantages of shell elements in simulating thin shell structures and the ability of solid elements in simulating three-dimensional solid structures.

[0054] Based on the analysis results of the preliminary model, it can be determined which parts need to use a mixture of shell elements and solid elements. These parts usually include connection parts, parts with complex geometries, or parts with stress concentration.

[0055] After determining the mixed use areas, the model can be modified and refined accordingly, including adding shell elements and solid elements to the areas where mixed use is required, and ensuring that the connection and transition between them are smooth and reasonable.

[0056] After mixing shell elements and solid elements, it is necessary to set the corresponding nonlinear parameters (such as material nonlinearity, geometric nonlinearity, etc.) and use a nonlinear solver to solve the problem. This helps to simulate the stress distribution and deformation of the connection more accurately.

[0057] The mixed use of shell elements and solid elements can significantly improve the calculation accuracy of the model, especially when simulating complex connection parts, which helps to more accurately evaluate the strength and durability of ship structures.

[0058] Optionally, the refinement processing of the three-dimensional digital model may further include step S14.

[0059] In step S14, mesh refinement may be performed near the connection part of the ship structure to improve the calculation accuracy. At the same time, the transition of the mesh is ensured to be smooth to avoid stress concentration.

[0060] Optionally, the refinement processing of the three-dimensional digital model may further include step S15.

[0061] In step S15, contact parameters such as friction coefficient, contact stiffness, etc. may be set at the connection parts where contact behavior exists in the ship structure.

[0062] Optionally, the refinement processing of the three-dimensional digital model may further include step S16.

[0063] In step S16, uncertainty analysis of boundary conditions may be performed by adopting a probabilistic statistical method to evaluate the influence of boundary conditions on the strength of the ship structure, thereby improving the robustness of the model.

[0064] When considering the uncertainty of boundary conditions, the main purpose of using probability and statistics methods for uncertainty analysis is to evaluate the impact of the variation of boundary conditions on the structural strength. This uncertainty analysis can quantify the impact of changes in input parameters (i.e., boundary conditions) on simulation outputs (such as structural strength), thereby helping to identify and mitigate potential risks and provide a more reliable basis for the decision-making process.

[0065] Uncertainty analysis focuses on the following results: Probability distribution of boundary conditions: First, the probability distribution of the boundary conditions needs to be determined. This is usually based on historical data, expert judgment, or experimental data. For example, boundary conditions such as temperature, pressure, load, etc. may follow a normal distribution, a lognormal distribution, or other types of distributions.

[0066] Variability of structural strength: Through simulation analysis, the variability of structural strength under different boundary conditions can be obtained. This helps to understand the performance of the structure under different working conditions.

[0067] Sensitivity Analysis: Sensitivity analysis reveals which boundary conditions have the greatest impact on the strength of the structure. This helps prioritize these critical factors during the design process.

[0068] Reliability assessment: Based on the results of uncertainty analysis, the reliability of the structure can be assessed. For example, the failure probability or safety margin of the structure under a specific load can be calculated.

[0069] The method of evaluating the impact of boundary condition uncertainty on structural strength usually includes the following steps: Collect data: Collect historical data, experimental data, or expert judgment about boundary conditions; Determine probability distribution: Based on the collected data, determine the probability distribution of boundary conditions; Model building: Building a finite element model and taking into account factors such as material nonlinearity and geometric nonlinearity; Perform simulations: Solve the model using nonlinear solvers to simulate the structural response under different boundary conditions. Uncertainty analysis: Use probabilistic statistical methods to analyze simulation results and evaluate the impact of uncertainty in boundary conditions on structural strength. This usually involves calculating statistical parameters such as mean, variance, covariance, and drawing graphs such as probability density functions and cumulative distribution functions; Interpretation and decision making: Based on the results of the uncertainty analysis, interpret the impact of boundary condition uncertainty on the strength of the structure and make decisions accordingly. For example, the design may need to be modified to improve the reliability of the structure or reduce the probability of failure.

[0070] Uncertainty analysis is usually performed in the later stages of refinement. After the finite element model is initially established and the corresponding boundary conditions and loads are set, factors such as nonlinear behavior of the material and geometric nonlinearity are considered and solved using a nonlinear solver. Then, after the refinement steps such as handling complex connections and optimizing meshing strategies are completed, uncertainty analysis is performed to evaluate the impact of uncertainty in boundary conditions on structural strength. This step is usually in the later stages of the entire analysis process, but in practice it may be appropriately adjusted based on specific needs and resource conditions.

[0071] Optionally, the refinement processing of the three-dimensional digital model may further include step S17.

[0072] In step S17, a welding residual stress simulation may be performed on the welding parts of the ship structure, such as a thermoelastic-plastic finite element analysis, to evaluate the influence of the welding residual stress on the strength of the ship structure.

[0073] The specific steps of welding residual stress simulation are as follows: Establish welding model: According to the actual welding process and structural characteristics, establish a finite element model including the weld, base material and surrounding structure; determine the shape, size and position of the weld, as well as the heat source model in the welding process (such as Gaussian heat source, double ellipsoid heat source, etc.).

[0074] Define material properties: Define temperature-dependent material properties for the weld and base material, including thermal conductivity, specific heat capacity, yield strength, elastic modulus, etc. These properties are usually obtained through experimental data or literature and need to be calibrated according to actual conditions.

[0075] Set boundary conditions and loads: define the boundary conditions during the welding process, such as initial temperature, ambient temperature, convection heat transfer coefficient, etc.; apply welding heat source as load to simulate the temperature distribution and changes during the welding process.

[0076] Perform thermal analysis: Use finite element analysis software to perform thermal analysis and calculate the temperature field distribution during welding. This step usually involves solving the heat conduction equation to obtain the temperature change of the weld and surrounding structure over time.

[0077] Perform elastic-plastic analysis: Based on thermal analysis, perform elastic-plastic analysis to simulate the stress and strain changes during welding; consider the nonlinear behavior of the material (such as yielding, hardening, etc.), as well as the thermal stress and residual stress generated during welding.

[0078] Extract residual stress: After the elastic-plastic analysis is completed, the residual stress distribution after welding cooling is extracted. These residual stresses will be used as input conditions for subsequent structural analysis to evaluate their impact on structural strength.

[0079] The simulation of welding residual stress is usually carried out in the refinement stage after the preliminary model is established. Specifically, it may be between the following steps: Preliminary model establishment: Establish a finite element model including the main structure and connection parts; Welding residual stress simulation: Based on the above model, add simulation of weld and welding process, perform thermoelastic finite element analysis, and extract residual stress; Subsequent analysis: The extracted residual stress is used as input condition for subsequent structural strength analysis, fatigue analysis or optimization design.

[0080] Optionally, in order to further improve the precision and accuracy of the three-dimensional digital model, the three-dimensional digital model can also be verified and checked. The accuracy and reliability of the three-dimensional digital model can be verified by comparing the experimental results and the simulation results. If a large difference is found, the three-dimensional digital model can be further adjusted and optimized.

[0081] The digital simulation verification method for ship structure strength of the present application takes nonlinear factors into consideration, such as the nonlinear behavior of materials and geometric nonlinearity, and sets corresponding nonlinear parameters, and uses a nonlinear solver for solving the problem. This measure makes the model closer to the actual situation and can more accurately reflect the mechanical behavior of the ship structure under complex working conditions.

[0082] The digital simulation verification method for ship structure strength of this application adopts a more sophisticated modeling method when dealing with complex connection parts, such as the mixed use of shell elements and solid elements, which accurately simulates the stress distribution and deformation of the connection parts and avoids errors caused by simplified processing. In addition, the simulation method of welding residual stress is introduced to evaluate its impact on structural strength, further optimize the model and improve the reliability of the analysis.

[0083] The digital simulation verification method for ship structure strength of this application also takes into account the uncertainty of boundary conditions, and uses probability statistics method to perform uncertainty analysis on boundary conditions. Because in actual operation, boundary conditions are often affected by multiple factors and there is a certain degree of uncertainty. Through uncertainty analysis, the impact of boundary conditions on structural strength can be more comprehensively evaluated, providing a more scientific basis for design.

[0084] In step S2, loads and boundary conditions may be set according to the operating environment and design requirements of the ship.

[0085] In some embodiments, setting loads and boundary conditions in step S2 may include steps S21 to S23.

[0086] In step S21, the load type is determined and calculated.

[0087] The main load types in the ship operation environment are identified. The load types may include, but are not limited to, one or more of hydrostatic pressure, wave load, and wind load.

[0088] The specific value of each load is calculated based on the ship design requirements and operating environment parameters such as water depth, wave period, wave height, wind speed and related hydrodynamics and wind engineering theories. It is also necessary to consider the temporal and spatial distribution characteristics of the load, the randomness of the wave load, the directionality and variability of the wind load, and perform statistical analysis or time domain simulation on the load.

[0089] In step S22, boundary conditions are set.

[0090] The type of boundary condition is determined according to the characteristics of the ship structure and the requirements of the simulation analysis. The type of boundary condition may include, but is not limited to, one or more of fixed constraints, hinged constraints, and sliding constraints.

[0091] The location and parameters of boundary conditions are set in the 3D digital model, including but not limited to the application point of the fixed constraint, the rotation axis and stiffness of the hinge constraint.

[0092] Considering the interaction between boundary conditions and loads, the dynamic response of the hull and mooring system under wave loads, ensure that the setting of boundary conditions can truly reflect the stress conditions of the ship in actual operation.

[0093] In step S23, the loads and boundary conditions are verified, for example, by physical tests, comparative analysis or expert review, and the loads and boundary conditions are adjusted and optimized accordingly based on the verification results. Thus, the main load types in the ship operating environment, including hydrostatic pressure, wave loads and wind loads, can be fully identified and accurately calculated, while taking into account the temporal and spatial distribution characteristics and randomness of the loads, so that the load setting is closer to the actual situation. This not only improves the accuracy of the analysis, but also provides more accurate data support for subsequent structural strength verification.

[0094] The digital simulation verification method for ship structure strength of this application determines the reasonable boundary condition type according to the characteristics of the ship structure and the needs of simulation analysis, and accurately sets the location and parameters of the boundary conditions in the digital model. In addition, the interaction between boundary conditions and loads is also considered, such as the dynamic response of the hull and mooring system under wave loads, which helps to ensure that the setting of boundary conditions can truly reflect the stress conditions of the ship in actual operation. Finally, through verification and adjustment, the set loads and boundary conditions are verified by physical tests, comparative analysis or expert review, and adjustments and optimizations are made based on the verification results, which further improves the accuracy and credibility of the analysis.

[0095] In step S3, finite element analysis software is used to perform finite element division on the constructed three-dimensional digital model, and finite element analysis calculation is performed according to the set loads and boundary conditions to obtain the mechanical response of stress and strain of the ship structure.

[0096] In some embodiments, finite element analysis is performed according to set loads and boundary conditions and parallel computing technology is used to improve computing efficiency. The specific implementation method and formula are as follows: Assume that the total computational effort of finite element analysis is When parallel computing technology is used, the total amount of calculation Divide into subtasks, each of which consists of an independent computing node Completed, the calculation amount is , then the total amount of parallel computing can be expressed as:

[0097] The efficiency of parallel computing can be improved by speedup ratio To measure, it is defined as:

[0098] in, is the time required for serial calculation, is the time required for parallel computing, when When the computing nodes are completely independent and load balanced, the speedup ratio near .

[0099] By dividing the total computational workload of finite element analysis into multiple subtasks and assigning them to independent computing nodes, parallel processing of computing tasks is achieved. This method not only fully utilizes the advantages of multi-core and multi-processor modern computers, but also ensures the efficient operation of each computing node through load balancing strategies.

[0100] By defining the total amount of computation The mathematical basis of parallel computing technology is clearly demonstrated by the representation of the computational amount of each subtask and the total computational amount of parallel computing. At the same time, the concept of speedup ratio is introduced to measure the efficiency improvement of parallel computing. This indicator can intuitively reflect the time advantage of parallel computing over serial computing. In particular, when each computing node is completely independent and load-balanced, the speedup ratio is close to the ideal value, which further proves the significant effect of parallel computing technology in improving computing efficiency.

[0101] In some embodiments, performing finite element division on the constructed three-dimensional digital model includes: using adaptive mesh division on the three-dimensional digital model according to the characteristics of the ship structure and the load distribution, which helps to further improve the accuracy of the model while maintaining the calculation efficiency.

[0102] In some embodiments, according to the characteristics of the ship structure and the load distribution, the three-dimensional digital model may be adaptively meshed and divided into steps S31 and S32.

[0103] In step S31, a stress distribution function of the ship structure is constructed.

[0104] In finite element analysis, when combining adaptive meshing technology to improve calculation accuracy and efficiency, the stress distribution function is the key to determine the mesh density adjustment factor. This stress distribution function is usually obtained through the following steps: Step S311: preliminary analysis.

[0105] First, a preliminary finite element analysis is performed. In this step, the structure is modeled and analyzed using a relatively uniform mesh density. The purpose of the preliminary analysis is to obtain the approximate stress distribution of the structure and provide a basis for subsequent adaptive meshing.

[0106] Step S312: extracting stress distribution.

[0107] After the preliminary analysis is completed, stress distribution data is extracted from the analysis results. This data usually includes the stress values ​​of each node and the distribution of stress in the structure. This data will be used to construct the stress distribution function.

[0108] Step S313: construct a stress distribution function.

[0109] Based on the extracted stress distribution data, a stress distribution function is constructed. This function is usually a mathematical expression or interpolation function that can describe the change of stress in the structure. When constructing the stress distribution function, factors such as the geometry of the structure, material properties, and load distribution need to be considered.

[0110] Step S314: Verification and adjustment.

[0111] After the construction is completed, the stress distribution function is verified and adjusted. By comparing with the preliminary analysis results, the accuracy and applicability of the function are checked. If the function cannot describe the stress distribution well, it needs to be adjusted and optimized.

[0112] In step S32, the density of the grid division is dynamically adjusted according to the stress distribution function of the ship structure, wherein the greater the stress value, the greater the value of the grid density adjustment factor, and accordingly, the grid density increases.

[0113] The verified and adjusted stress distribution function can be used to guide adaptive meshing. The mesh density adjustment factor is dynamically adjusted according to the value of the stress distribution function. In the stress concentration area, due to the large stress value, the value of the mesh density adjustment factor is also large, resulting in an increase in mesh density to more accurately capture the stress changes. In the area with less stress, the value of the mesh density adjustment factor is smaller, and the mesh density is reduced accordingly to improve the calculation efficiency.

[0114] Assume the initial mesh density is , according to the stress distribution function Dynamically adjust the grid density. The adjusted grid density It can be expressed as:

[0115] in, is the mesh density adjustment factor, which is based on the stress distribution function The value of dynamically adjusts the mesh density. In the stress concentration area, The larger the value of is, the higher the mesh density will be. In the area with smaller stress, The smaller the value of , the smaller the mesh density.

[0116] Adaptive meshing technology can dynamically adjust the mesh density according to the stress distribution function, automatically increase the mesh density in the stress concentration area to capture stress changes more finely, thereby improving the calculation accuracy. At the same time, it reduces the mesh density in the area with less stress, reduces the amount of calculation, and improves the calculation efficiency. This method of dynamically adjusting the mesh density not only ensures the calculation accuracy of key areas, but also optimizes the overall calculation performance, making finite element analysis more efficient and accurate.

[0117] By setting the initial mesh density and dynamically adjusting the mesh density according to the stress distribution function, the mesh density adjustment factor is the key parameter. It dynamically adjusts the mesh density according to the value of the stress distribution function. The adaptive meshing technology can automatically adjust the mesh density according to the stress distribution inside the structure without manual intervention, thereby greatly improving the automation and accuracy of the analysis. In addition, the technology can also be customized according to the stress characteristics of different structures, making the meshing more flexible and efficient.

[0118] After combining parallel computing technology and adaptive meshing technology, the total calculation time of finite element analysis It can be expressed as:

[0119] in, is the computational efficiency improvement coefficient brought by the adaptive meshing technology, which reflects the improvement in computational efficiency of adaptive meshing compared with fixed meshing. The value depends on the mesh density adjustment factor accuracy and rationality.

[0120] At the same time, by combining these two technologies, the accuracy of finite element analysis can be improved by reducing the error ratio To measure, it is defined as:

[0121] in, is the error when using fixed grid division, The error when using adaptive meshing is adjusted by optimizing the mesh density factor , which can reduce the error , in order to improve the accuracy of finite element analysis.

[0122] In the process of optimizing the mesh density adjustment factor to reduce errors and improve the accuracy of finite element analysis, evaluating the quality of the mesh density adjustment factor setting and determining the timing of optimizing this factor are key issues. The following steps can be used to determine the quality of the mesh density adjustment factor setting.

[0123] Error analysis: Directly compare the error between the finite element analysis results and the theoretical solution or experimental data when using different mesh density adjustment factors. The smaller the error, the better the setting of the mesh density adjustment factor. It can be measured by relative error or absolute error, depending on the nature and requirements of the problem.

[0124] Convergence analysis: Perform a series of finite element analyses under different mesh density adjustment factors and observe the trend of the analysis results as the mesh density adjustment factor changes. If the analysis results gradually converge to the theoretical solution or experimental data as the mesh density adjustment factor is optimized, it means that the setting of the mesh density adjustment factor is effective.

[0125] Trade-off between computational efficiency and accuracy: Evaluate the effect of mesh density adjustment factors on computational efficiency. Although finer meshes can improve accuracy, they also increase computational costs. It is necessary to find the best balance between computational efficiency and accuracy while ensuring a certain level of accuracy.

[0126] Visualization check: Use visualization tools to check the model after mesh density adjustment to ensure that the mesh is denser in stress concentration areas and sparser in stress-free areas. This helps to intuitively evaluate the rationality of the mesh density adjustment factor.

[0127] Optimizing the mesh density adjustment factor is usually done after initially building the finite element model and setting the initial mesh density. The specific steps are as follows: Preliminary modeling and meshing: According to the structural characteristics and load distribution, establish a preliminary finite element model and set the initial mesh density; Perform finite element analysis: Use the initial mesh density to perform finite element analysis and obtain preliminary analysis results; Evaluate error and convergence: Based on the preliminary analysis results, evaluate the error size and perform convergence analysis; if the error is large or the convergence is poor, it is necessary to optimize the grid density adjustment factor; Optimize the grid density adjustment factor: adjust the value of the grid density adjustment factor based on the results of error analysis and convergence analysis. The factor can be adjusted by trial and error, optimization algorithm (such as genetic algorithm, particle swarm algorithm, etc.) or rules based on experience; Re-run FEA: Re-run the FEA using the optimized mesh density adjustment factor.

[0128] Repeat the above steps until the grid density adjustment factor that meets the accuracy requirements is found.

[0129] The digital simulation verification method for ship structure strength of the present application adopts an optimized grid division strategy. According to the characteristics of the structure and the load distribution, adaptive grid division technology or other optimization methods are used, which not only improves the calculation accuracy, but also significantly improves the calculation efficiency, making this method more suitable for large-scale and high-precision calculation needs.

[0130] The digital simulation verification method for ship structure strength of the present application combines the two technologies of parallel computing and adaptive optimization grid, and the total calculation time of finite element analysis is effectively shortened. Among them, the calculation efficiency improvement coefficient brought by the adaptive grid division technology reflects the significant improvement in the calculation efficiency of this technology compared with the fixed grid division. This improvement is mainly due to the accuracy and rationality of the grid density adjustment factor, which makes the grid division more flexible and efficient, and can be dynamically adjusted according to the stress distribution in different areas, thereby ensuring the calculation accuracy while greatly reducing the amount of calculation. In addition, the introduction of parallel computing technology further accelerates the calculation process, making large-scale, high-precision finite element analysis possible.

[0131] By comparing the errors when using fixed meshing and adaptive meshing, we can intuitively reflect the advantages of adaptive meshing technology in improving analysis accuracy. The introduction of this indicator not only provides a scientific basis for evaluating the accuracy of finite element analysis, but also points out the direction for optimizing the mesh density adjustment factor and further improving the analysis accuracy. By continuously adjusting and optimizing the mesh density adjustment factor, the error can be further reduced, making the results of finite element analysis more accurate and reliable.

[0132] In step S4, the ship structure strength is verified and evaluated based on the finite element analysis results. If the requirements are not met, the three-dimensional digital model is optimized and the finite element analysis and strength verification are performed again.

[0133] In some embodiments, the allowable stress method or the limit state design method may be used to verify and evaluate the strength of the ship structure.

[0134] When the allowable stress method is selected as the evaluation method, complex stress calculation formulas need to be introduced to accurately determine the strength performance of the structure.

[0135] The stress calculation formula can be expressed as:

[0136] in, Represents the ship structure strength evaluated by the allowable stress method, represents the maximum stress value in the ship structure, σ represents the allowable stress value, and the material parameters and structural parameters are the material parameters and structural parameters that affect the strength of the ship structure respectively.

[0137] In the comparison process, when the ship structure strength calculated by the stress calculation formula When the stress value is less than or equal to the allowable stress value σ, the ship structure is judged to meet the strength requirements; when the ship structure strength calculated by the stress calculation formula is When it is greater than the allowable stress value σ, it is judged that the strength of the ship structure is insufficient.

[0138] The stress calculation formula is based on the basic principles of material mechanics and is used to calculate the maximum stress value in the structure and compare it with the allowable stress value.

[0139] The stress calculation formula is: σ = F / A Among them, σ represents the maximum stress value in the ship structure, which is a key parameter that needs to be calculated to evaluate the strength performance of the structure; F represents the external force or internal force acting on the structure, which depends on the specific analysis situation and the type of load on the ship structure; A represents the area of ​​the load-bearing section, which is a factor that must be considered when calculating stress, and it affects the distribution and magnitude of stress.

[0140] Material parameters mainly reflect the mechanical properties and physical characteristics of the material itself, and have a direct impact on the strength performance of the structure. Common material parameters include: elastic modulus E: reflects the stress-strain relationship of the material within the elastic deformation range, and is a measure of the material's stiffness; yield strength σs: the stress value when the specimen begins to produce plastic deformation in a tensile test of a plastic material; strength limit σb: the maximum stress value before the specimen breaks in a tensile test, also known as tensile strength; fatigue limit σ-1: the maximum stress value of a material that does not break after a certain number of cycles under alternating stress; hardness: indicates the ability of a material to resist deformation due to local pressure. The higher the hardness, the better the wear resistance of the material; toughness: the ability of a material to absorb energy without breaking when subjected to an impact load. Materials with good toughness can better resist brittle fracture.

[0141] Structural parameters mainly reflect the geometric shape, size and connection method of the structure, and have an important influence on the stress distribution and strength performance of the structure. Common structural parameters include: cross-sectional dimensions: such as the cross-sectional width and height of the beam, the cross-sectional diameter of the column, etc. These dimensions directly affect the bearing capacity and stress distribution of the structure; wall thickness: for structures such as shells and pipes, the wall thickness is a key factor affecting their strength and stability; connection methods: such as welding, bolt connection, riveting, etc., different connection methods will affect the overall strength and stiffness of the structure; geometric shape: the geometric shape of the structure, such as round, square, rectangular, etc., will affect the distribution and size of the stress; span-to-height ratio: for structures such as beams and plates, the ratio of their span to height will affect the overall stability and bearing capacity of the structure.

[0142] The maximum stress value is usually calculated by finite element analysis (FEA) or other structural analysis methods. These methods are based on the principles of material mechanics and solid mechanics and can simulate the stress distribution of the structure under load.

[0143] Finite element analysis (FEA) is a numerical method used to solve problems such as stress, strain and displacement of complex structures. By dividing the structure into a finite number of units and performing mechanical analysis on each unit, the stress distribution of the entire structure can be obtained. In finite element analysis, it is usually necessary to input parameters such as the elastic modulus and Poisson's ratio of the material, as well as information such as the geometry, size and load conditions of the structure. Through calculation, the maximum stress value in the structure can be obtained.

[0144] In addition to finite element analysis, other structural analysis methods, such as analytical method, differential method, etc., can also be used to calculate the maximum stress value in the structure. These methods are usually suitable for structures with regular shapes and simple loads.

[0145] The allowable stress value is determined based on the strength properties of the material and the use requirements of the structure. It reflects the maximum stress value that the material can withstand under specific conditions without being damaged.

[0146] The allowable stress value is usually determined based on the yield strength or tensile strength of the material. The yield strength is the stress value when the material begins to deform plastically, while the tensile strength is the maximum stress value that the material can withstand before breaking. By consulting the material manual or conducting material tests, the strength performance data such as the yield strength and tensile strength of the material can be obtained.

[0147] In order to ensure the safety and reliability of the structure, it is usually necessary to introduce a safety factor to reduce the allowable stress value. The size of the safety factor depends on factors such as the importance of the structure, the variability of the load, and the stability of the material properties. The allowable stress value can be obtained by dividing the yield strength or tensile strength of the material by the safety factor. For example, for plastic materials, the allowable stress value is usually equal to the yield strength divided by the safety factor; for brittle materials, the allowable stress value may be equal to the tensile strength divided by the safety factor.

[0148] In some cases, the allowable stress value may be directly given by the relevant engineering specifications and standards. These specifications and standards usually take into account factors such as material performance, structural conditions of use, safety requirements, etc., and provide corresponding allowable stress value tables or formulas.

[0149] The application of the stress calculation formula fully considers the influence of material parameters and structural parameters on structural strength, making the evaluation results closer to the actual situation. In the comparison process, if the maximum stress value in the structure calculated by the formula is less than or equal to the allowable stress value, the structure is judged to meet the strength requirements, otherwise it indicates that the structural strength is insufficient. This judgment standard is clear and unambiguous, which facilitates the rapid and accurate evaluation of the strength performance of the structure. In addition, when it is judged that the structural strength is insufficient, the model can also be optimized, which provides a clear guiding direction for further improvement of the structure.

[0150] The application of the allowable stress method is not static, but needs to be adjusted according to the specific engineering background and material properties. For example, the allowable stress values ​​may be different for different types of materials; the stress distribution and stress concentration may also be different for different structural forms. Therefore, when applying the allowable stress method for strength assessment, these factors need to be fully considered to ensure the accuracy and reliability of the assessment results. In addition, with the continuous development of computer technology, the application of numerical simulation methods in strength assessment is becoming more and more extensive. By combining numerical simulation methods and the allowable stress method, we can have a deeper understanding of the stress distribution and strength performance of the structure, providing more comprehensive support for the optimal design of the structure.

[0151] In some embodiments, optimizing the design of the three-dimensional digital model may include, but is not limited to, increasing the structural thickness of the ship and / or changing the material properties of the ship in order to reduce the maximum stress value. Or increase the allowable stress value After the optimization design is completed, it is necessary to re-perform finite element analysis and apply the stress calculation formula again to perform strength verification until the ship structure meets the strength requirements. When the ship structure strength is insufficient, the optimization design can be increased by increasing the structure thickness, changing the material properties, etc., aiming to reduce the maximum stress value by adjusting the structural parameters and material properties. Or increase the allowable stress value , thereby ensuring that the ship structure meets the strength requirements.

[0152] The implementation of optimization design measures is not a one-time process, but requires iterative adjustments based on the results of finite element analysis and strength verification. After each optimization design is completed, finite element analysis needs to be repeated to obtain updated stress distribution and maximum stress values. Subsequently, the stress calculation formula is applied again for strength verification to determine whether the ship structure after the optimized design meets the strength requirements. This process needs to be repeated until the strength of the ship structure reaches the preset standard. Although this iterative optimization method increases the workload of calculation and analysis, it can ensure that the final ship structure design scheme not only meets the strength requirements, but also has high economy and feasibility.

[0153] In some embodiments, the optimization design of the three-dimensional digital model may also include, but is not limited to, optimizing the structural shape of the ship and / or optimizing the structural connection method of the ship to improve the structural strength and safety of the ship. Through the comprehensive optimization of the structural shape, connection method, etc., not only the structural strength of the ship is effectively improved, but also its safety is further enhanced, providing a more solid guarantee for the navigation of the ship.

[0154] The optimization of structural shape often involves adjusting the geometry of the overall or local structure of the ship. This adjustment may be based on an in-depth analysis of stress distribution and load transfer paths, aiming to optimize stress distribution and reduce stress concentration by changing the geometry of the structure, thereby reducing the risk of structural failure. For example, for the hull structure, its bending and torsion resistance can be optimized by adjusting parameters such as plate thickness and curvature; for the connection parts, the reliability and durability of the connection can be improved by optimizing the shape and size of the connector.

[0155] At the same time, the optimization of connection methods is also an important means to improve the strength and safety of ship structures. In ship structures, connection parts are often high-incidence areas of stress concentration and fatigue damage. Therefore, by improving the connection method, such as using high-strength bolt connection, welding technology, etc., the strength and fatigue life of the connection parts can be significantly improved. In addition, for complex structures, new connection technologies such as gluing and riveting can also be considered to further improve the reliability and stability of the connection.

[0156] In some embodiments, the digital simulation verification method for ship structure strength of the present application may further include step S5.

[0157] In step S5, the finite element analysis results and the strength verification results can be visualized to generate intuitive charts; and / or, a verification report can be generated based on the strength verification results to provide powerful data support and intuitive analysis methods for the optimal design of the ship structure.

[0158] Generating intuitive charts can include generating stress cloud charts and strain cloud charts to intuitively display the stress and strain distribution of the ship structure. By generating stress cloud charts, strain cloud charts and other charts, the stress and strain distribution of the ship structure can be intuitively and clearly displayed, which can provide engineers with a more intuitive and convenient analysis method, greatly improving the accuracy and efficiency of ship structure strength assessment.

[0159] The visualization of stress cloud diagrams and strain cloud diagrams is also highly flexible and scalable, such as extracting key data points, calculating stress concentration factors, and predicting fatigue life, to meet different analysis needs.

[0160] The digital simulation verification method for ship structure strength of the present application solves the problems of insufficient model accuracy, low calculation efficiency and low credibility of verification results in existing ship structure strength verification methods.

[0161] Compared with the prior art, the digital simulation verification method for ship structure strength of the present application can have at least the following beneficial technical effects: The digital simulation verification method for the strength of ship structure of the present application adopts a three-dimensional digital model constructed by CAD / CAE software, for example. After fine processing, it can more accurately reflect the real geometric shape and material properties of the ship structure, and provide a solid foundation for subsequent finite element analysis and strength verification; secondly, according to the operating environment and design requirements of the ship, a variety of load factors and boundary conditions are comprehensively considered, so that the analysis results are closer to the actual situation, and the credibility of the verification results is improved. At the same time, efficient finite element analysis software is used to perform fine finite element division on the digital model, and accurate calculation is performed according to the set loads and boundary conditions, which not only improves the calculation efficiency, but also makes the analysis results more accurate, and can accurately reflect the stress and strain of the ship structure under various working conditions, and strictly verify and evaluate the strength of the ship structure. If the requirements are not met, the model is optimized and re-analyzed. This cyclic iterative process ensures the safety and reliability of the strength of the ship structure; finally, the visualization and report generation of the verification results make the analysis results more intuitive and easy to understand, and the generated detailed verification report also provides strong support for subsequent design improvements and decisions.

[0162] The present application also provides a digital simulation verification device 200 for ship structure strength. Figure 2 The schematic block diagram of a digital simulation verification device 200 for ship structure strength according to an embodiment of the present application is disclosed. Figure 2 As shown, a digital simulation verification device 200 for ship structure strength of an embodiment of the present application includes a processor 201, an internal bus 202, a network interface 203, a memory 204 and a non-volatile memory 205, and of course may also include hardware required for other services. The processor 201 can read the corresponding computer program from the non-volatile memory 205 into the memory 204 and then run it to implement the steps of the digital simulation verification method for ship structure strength as described above. Of course, in addition to the software implementation, the present application does not exclude other implementation methods, such as logic devices or a combination of software and hardware, etc., that is to say, the execution subject of the following processing flow is not limited to each logic unit, but can also be hardware or logic components.

[0163] It is understandable that, for the convenience of description, the above device is described by dividing each module into functions. Of course, when implementing this application, the functions of each module can also be implemented in the same or multiple software and / or hardware.

[0164] The digital simulation verification device 200 for ship structure strength of the present application has similar beneficial technical effects as the above-mentioned digital simulation verification method for ship structure strength, so it will not be described in detail here.

[0165] The digital simulation verification method and device for the ship structure strength provided in the embodiment of the present application are introduced in detail above. Specific examples are used herein to illustrate the digital simulation verification method and device for the ship structure strength of the embodiment of the present application. The description of the above embodiments is only used to help understand the core idea of ​​the present application and is not intended to limit the present application. It should be pointed out that for ordinary technicians in this technical field, several improvements and modifications can be made to the present application without departing from the spirit and principles of the present application, and these improvements and modifications should also fall within the scope of protection of the claims attached to the present application.

Claims

1. A digital simulation verification method for ship structure strength, characterized by: include: Construct a 3D digital model of the ship structure based on the ship design drawings and design specifications; Set loads and boundary conditions according to the ship's operating environment and design requirements; Finite element analysis software is used to perform finite element division on the constructed three-dimensional digital model, and finite element analysis calculation is performed according to the set load and boundary conditions to obtain the mechanical response of stress and strain of the ship structure; According to the finite element analysis results, the ship structure strength is verified and evaluated. If it does not meet the requirements, the three-dimensional digital model is optimized and the finite element analysis and strength verification are carried out again.

2. The method according to claim 1, characterized in that: Also includes: Visualize the finite element analysis results and strength verification results to generate intuitive charts; and / or, Generate a verification report based on the strength verification results.

3. The method according to claim 1, characterized in that: Also includes: The three-dimensional digital model is refined.

4. The method according to claim 3, characterized in that: The refining process of the three-dimensional digital model includes: Set the material nonlinear parameters and geometric nonlinear parameters of the ship; A nonlinear solver is used to perform nonlinear analysis on the three-dimensional digital model to obtain the stress and strain response of the ship structure.

5. The method according to claim 3, characterized in that: The fine processing of the three-dimensional digital model includes one or more of the following processing methods: For the complex connection parts of the ship structure, a more sophisticated modeling method is adopted, including: Use a mixture of shell elements and solid elements; Mesh refinement near the connection parts of the ship structure; Set contact parameters at the connection parts with contact behavior in the ship structure.

6. The method according to claim 3, characterized in that: The refining process of the three-dimensional digital model includes: The uncertainty analysis of boundary conditions is carried out by adopting probabilistic statistical methods to evaluate the influence of boundary conditions on the strength of ship structures.

7. The method according to claim 3, characterized in that: The refining process of the three-dimensional digital model includes: The welding residual stress of the welding parts of the ship structure is simulated to evaluate the influence of welding residual stress on the strength of the ship structure.

8. The method according to claim 1, characterized in that: The set loads and boundary conditions include: Load type determination and calculation, including: Identify the main load types in the ship's operating environment, the load types including one or more of hydrostatic pressure, wave loads and wind loads; Calculate the specific value of each load according to the ship design requirements and operating environment as well as relevant hydrodynamics and wind engineering theories, and perform statistical analysis or time domain simulation on the loads; Boundary condition settings, including: Determine the type of boundary conditions according to the characteristics of the ship structure and the requirements of the simulation analysis, wherein the type of boundary conditions includes one or more of fixed constraints, hinge constraints and sliding constraints; Setting the location and parameters of boundary conditions in the three-dimensional digital model; Verify the loads and boundary conditions, and adjust and optimize them accordingly based on the verification results.

9. The method according to claim 1, characterized in that: The finite element division of the constructed three-dimensional digital model comprises: According to the characteristics of the ship structure and the load distribution, the three-dimensional digital model is divided into adaptive grids.

10. The method according to claim 9, characterized in that: The method of using adaptive meshing to divide the three-dimensional digital model according to the characteristics of the ship structure and the load distribution includes: Construct the stress distribution function of the ship structure; The density of the grid division is dynamically adjusted according to the stress distribution function of the ship structure, wherein the greater the stress value, the greater the value of the grid density adjustment factor, and accordingly, the grid density increases.

11. The method according to claim 1, characterized in that: The finite element analysis calculation according to the set load and boundary conditions includes: Finite element analysis is performed according to the set loads and boundary conditions and parallel computing technology is used.

12. The method according to claim 1, characterized in that: Verification and assessment of ship structure strength include: The allowable stress method is used to verify and evaluate the strength of ship structures.

13. The method according to claim 12, characterized in that: The strength of the ship structure is determined according to the following stress calculation formula: in, Represents the ship structure strength evaluated by the allowable stress method, represents the maximum stress value in the ship structure, σ represents the allowable stress value, the material parameters and structural parameters are the material parameters and structural parameters of the ship respectively, When the ship structure strength calculated by the stress calculation formula is less than or equal to the allowable stress value, it is determined that the ship structure meets the strength requirements; when the ship structure strength calculated by the stress calculation formula is greater than the allowable stress value, it is determined that the strength of the ship structure is insufficient.

14. The method of claim 1, wherein: The optimization design of the three-dimensional digital model includes one or more of the following methods: Increase the structural thickness of the ship; Change the material properties of the ship; Optimize the structural shape of the ship; Optimize the structural connection method of the ship.

15. A digital simulation verification device for ship structure strength, comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, characterized in that: When the processor executes the computer program, the steps of the digital simulation verification method for ship structure strength described in any one of claims 1 to 14 are implemented.

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