A simulation optimization method and system for sealing performance of cargo box doors

Abstract

This invention discloses a simulation optimization method and system for the sealing performance of cargo compartment doors, relating to the field of sealing simulation technology. The method includes: solving for macroscopic displacement based on a three-dimensional model and load conditions, and calculating microscopic displacement using a decoupled transfer matrix to determine the dynamic sealing failure index. The method then determines whether the index exceeds a threshold: if so, it calculates the instantaneous total flow rate and generates a water-conducting redundancy index; if not, it determines that the seal is effective and the water-conducting system is redundantly effective. The sealing failure index and the water-conducting redundancy index are combined with weights to generate a total synergistic index. If the synergistic index does not reach a preset target, the parameters are iteratively adjusted until the target is met. This invention provides a rigid-flexible decoupled simulation model and a hierarchical closed-loop optimization strategy to collaboratively evaluate load-bearing, sealing, and water-conducting performance, replacing manual trial and error and significantly improving design efficiency and economy.

Description

Technical Field

[0001] This invention relates to the field of sealing simulation technology, specifically to a method and system for simulating and optimizing the sealing performance of cargo box doors. Background Technology

[0002] Cargo doors, such as the rear or side doors of trucks, vans, or special vehicles, are a critical component of the vehicle structure. One of their core functions is to provide reliable sealing performance to protect the cargo inside the cargo box from the intrusion of the external environment, especially rainwater, dust, and high-pressure water vapor. During actual vehicle operation, the cargo door is not in a static environment but is constantly subjected to complex dynamic loads. These loads mainly originate from random vibrations caused by uneven road surfaces and chassis torsion during vehicle steering or driving on rough roads. These dynamic loads inevitably cause macroscopic structural displacement and elastic deformation of the door's load-bearing frame. Therefore, accurately predicting and optimizing the sealing integrity of the door under dynamic conditions during the design phase, and ensuring that the sealing system can effectively compensate for these structural deformations, is a key technical problem that must be solved in vehicle body design, especially in the design of freight vehicles.

[0003] Existing simulation methods for sealing performance have significant limitations in addressing this problem. Current mainstream simulation models tend to treat the door's load-bearing structure and sealing system as a single rigid or semi-rigid unit. This modeling approach leads to excessive coupling between structural deformation and sealing failure. In simulations, the macroscopic dynamic displacement of the load-bearing frame is incorrectly and without attenuation transmitted to the sealing interface, causing simulation results to often exaggerate the risk of sealing failure, even leading to pessimistic conclusions that structural deformation inevitably leads to sealing failure. This forces designers to rely excessively on the single and expensive method of strengthening the load-bearing structure to meet sealing requirements, neglecting the possibility of isolating and compensating for deformation through flexible connections or optimizing the compression stroke of the sealing strip itself. Furthermore, existing design processes lack a closed-loop, automated optimization mechanism, heavily relying on engineers' personal experience for parameter adjustments, resulting in high trial-and-error costs and difficulty in converging to the optimal solution. Simultaneously, the design fails to co-quantify and analyze the instantaneous leakage of the sealing strip and the redundant drainage capacity of the water channel, leading to scattered design objectives and an inability to achieve a comprehensive balance and synergistic optimization among structural load-bearing capacity, precision sealing, and redundant water channeling. Summary of the Invention

[0004] The purpose of this invention is to provide a method and system for simulating and optimizing the sealing performance of cargo box doors, which solves the problems existing in the background art. Specifically, the technical solution of this invention includes:

[0005] S1, based on the three-dimensional geometric model parameters of the cargo box door and the preset dynamic load conditions, solve the macroscopic structural displacement of the bearing domain;

[0006] S2, combining the macroscopic structural displacement and the decoupling transfer matrix, calculate the microscopic displacement of the sealing domain; based on the microscopic displacement and the normal effective compression stroke, calculate the dynamic seal failure index;

[0007] S3, determine whether the dynamic seal failure index is greater than the preset seal threshold; if not, determine that the seal is effective and proceed to step S4; if yes, proceed to step S4.

[0008] S4, in response to the yes judgment in S3, calculate the instantaneous total flow rate of leakage, and generate the water guiding redundancy index based on the maximum discharge flow rate determined by the preset water guiding channel parameters and the instantaneous total flow rate; in response to the no judgment in S3, if it is determined that the seal is effective in S3, then the water guiding system is determined to be redundant and effective.

[0009] S5. Based on the dynamic sealing failure index and the water-conducting redundancy index, a sealing performance score and a redundancy performance score are generated respectively; combined with the scores and a preset weight model, a total synergy index is generated.

[0010] S6, determine whether the total coordination index meets the preset coordination target; if not, iteratively optimize at least one preset parameter through a hierarchical correction strategy; if it meets the target, end the optimization.

[0011] Preferably, solving the structural dynamics equations of the bearing domain includes: solving the macroscopic structural displacement of the bearing domain based on the mass matrix, damping matrix, and stiffness matrix of the bearing domain, combined with preset dynamic load conditions.

[0012] Preferably, the calculation of the dynamic seal failure index includes: multiplying the macroscopic structural displacement by the decoupling transfer matrix to obtain the microscopic displacement of the sealing domain; and based on the microscopic displacement of the sealing domain, dividing the component of the normal direction at the sealing interface by the effective compression stroke of the normal direction to obtain the dynamic seal failure index.

[0013] Preferably, after calculating the dynamic seal failure index, the method further includes: classifying the sealing state into effective sealing, instantaneous leakage, or high-pressure water injection based on the dynamic seal failure index and a preset leakage-water injection conversion threshold; wherein, S3 triggers leakage calculation in response to the sealing state being instantaneous leakage or high-pressure water injection.

[0014] Preferably, calculating the instantaneous total flow rate of leakage includes: traversing all failure nodes, multiplying the difference between the micro-displacement and the effective normal compression stroke by the characteristic length of the sealing strip; summing the calculation results of all failure nodes to obtain the instantaneous total gap area; and calculating the instantaneous total flow rate of leakage based on the instantaneous total gap area and the preset high-pressure water vapor impact pressure, and using a preset flow coefficient, through the orifice outflow model.

[0015] Preferably, generating the overall synergy index includes: generating a sealing performance score based on the maximum value of the dynamic sealing failure index; generating a redundancy performance score based on the minimum value of the water-conducting redundancy index; and weighting and summing the sealing performance score and the redundancy performance score using a preset weighting model to obtain the overall synergy index.

[0016] Preferably, the graded correction strategy includes: in response to the sealing performance score being less than a preset performance score threshold, performing a first-level correction to optimize the decoupling transfer matrix or the effective normal compression stroke; in response to the redundancy performance score being less than a preset redundancy score threshold, performing a second-level correction to optimize the water channel parameters; and in response to the parameters in the first-level correction having reached the material limit, performing a third-level correction to optimize the load-bearing domain stiffness.

[0017] A simulation and optimization system for the sealing performance of cargo box doors includes:

[0018] The data acquisition module is used to collect model parameters, dynamic load conditions, and preset parameters required for simulation optimization.

[0019] The simulation processing module includes a structural displacement calculation unit, which is used to solve the structural dynamic equations of the bearing domain based on the model parameters and dynamic load conditions, and to determine the macroscopic structural displacement of the bearing domain.

[0020] The failure index calculation unit is used to combine the macroscopic structural displacement and the decoupling transfer matrix to calculate the microscopic displacement of the sealing domain, and to calculate the dynamic seal failure index based on the microscopic displacement and the normal effective compression stroke.

[0021] The leakage calculation unit is used to calculate the instantaneous total leakage flow rate in response to the dynamic seal failure index being greater than the preset seal threshold; and to determine that the seal is effective in response to the dynamic seal failure index not being greater than the preset seal threshold.

[0022] The redundancy index generation unit is used to calculate the maximum discharge flow rate based on preset water guide channel parameters in response to the calculation of the instantaneous total flow rate, and to generate a water guide redundancy index by combining the maximum discharge flow rate with the instantaneous total flow rate; in response to the failure to calculate the instantaneous total flow rate, the water guide system is determined to be redundant and effective.

[0023] The synergy index generation unit is used to generate a sealing performance score and a redundancy performance score based on the dynamic sealing failure index and the water-conducting redundancy index, respectively; and to generate a total synergy index by combining the scores with a preset weight model.

[0024] The closed-loop optimization module is used to iteratively optimize at least one preset parameter through a hierarchical correction strategy if the total synergy index does not meet the preset synergy target; and to end the optimization if the total synergy index meets the preset synergy target.

[0025] Preferably, the closed-loop optimization module is specifically used for:

[0026] If the sealing performance score is less than the preset performance score threshold, a first-level correction is performed to optimize the decoupling transfer matrix or the normal effective compression stroke.

[0027] If the redundancy performance score is less than the preset redundancy score threshold, a secondary correction is performed to optimize the water channel parameters.

[0028] If the parameters in the first-level correction have reached the material limit, a third-level correction is performed to optimize the stiffness of the bearing domain. Compared with the prior art, the present invention has the following advantages:

[0029] 1. This application constructs an innovative rigid-flexible decoupled composite frame simulation model, which decouples the structural load-bearing function from the sealing function at the simulation level. Instead of rigidly transferring the macroscopic displacement of the load-bearing domain to the sealing domain, it introduces a decoupling transfer matrix to accurately quantify the isolation and attenuation capabilities of the flexible connectors for structural vibration and deformation. This more realistically reflects the physical reality and enables the simulation system to accurately assess the microscopic stability maintained by the sealing domain through its own flexible connection when the load-bearing domain undergoes dynamic deformation, thereby avoiding over-design caused by model distortion.

[0030] 2. This application establishes a multi-level collaborative evaluation system, which for the first time unifies and comprehensively analyzes dynamic sealing integrity and redundant water conduction capacity. It not only evaluates whether the seal has failed, but also quantitatively calculates the instantaneous leakage flow when failure occurs and compares it with the maximum discharge flow of the water guide channel to generate a redundancy index. By weighting and combining the sealing performance score and the redundancy performance score into a total collaborative index, this invention provides a single and clear optimization target for design, and achieves a collaborative balance of the three originally conflicting performance indicators of load-bearing capacity, sealing, and water conduction.

[0031] 3. This application provides a closed-loop automatic optimization logic. Through a preset hierarchical correction strategy, it significantly improves design efficiency and reduces R&D costs. When the simulation results do not meet the collaborative goal, it can automatically trigger iterative optimization and simulate the design thinking of senior engineers. It prioritizes the optimization of low-cost parameters such as the sealing domain and the guide water area. Only when the flexible compensation measures reach their limit will it initiate the high-cost correction of the stiffness of the bearing domain. This structured intelligent correction path replaces the traditional trial-and-error process that relies on the experience of engineers, accelerates the simulation convergence speed, and ensures the economy and engineering feasibility of the optimization scheme. Attached Figure Description

[0032] To more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0033] Figure 1 This is a flowchart of the method of the present invention;

[0034] Figure 2 This is a structural diagram of the system of the present invention. Detailed Implementation

[0035] The technical solutions of the present invention will be clearly and completely described below with reference to the accompanying drawings of the embodiments of the present invention. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. All other embodiments obtained by those skilled in the art based on the embodiments of the present invention without creative effort are within the scope of protection of the present invention.

[0036] Example 1

[0037] Please see Figure 1 The present invention provides a method and system for simulating and optimizing the sealing performance of cargo box doors, including: S1, solving the macroscopic structural displacement of the load-bearing domain based on the three-dimensional geometric model parameters of the cargo box door and the preset dynamic load conditions;

[0038] S2, combining the macroscopic structural displacement and the decoupling transfer matrix, calculate the microscopic displacement of the sealing domain; based on the microscopic displacement and the normal effective compression stroke, calculate the dynamic seal failure index;

[0039] S3, determine whether the dynamic seal failure index is greater than the preset seal threshold; if not, determine that the seal is effective and proceed to step S4; if yes, proceed to step S4.

[0040] S4, in response to S3 being true, calculate the instantaneous total flow rate of leakage, and generate a water guiding redundancy index based on the maximum discharge flow rate determined by the preset water guiding channel parameters and the instantaneous total flow rate; in response to S3 being false, determine that the water guiding system redundancy is effective.

[0041] S5. Based on the dynamic sealing failure index and the water-conducting redundancy index, a sealing performance score and a redundancy performance score are generated respectively; combined with the scores and a preset weight model, a total synergy index is generated.

[0042] S6, determine whether the total coordination index meets the preset coordination target; if not, iteratively optimize at least one preset parameter through a hierarchical correction strategy; if it meets the target, end the optimization.

[0043] This embodiment provides a simulation optimization method for the sealing performance of cargo box doors. The method aims to achieve the coordinated design of the load-bearing, sealing and water-proof performance of cargo box doors by constructing a rigid-flexible decoupled simulation model and closed-loop optimization logic, which solves the technical problem that traditional integrated rigid body models cannot take into account both structural strength and sealing accuracy.

[0044] The specific steps of this method are as follows:

[0045] S1, Data Acquisition and Modeling; The purpose of this step is to initialize all the input parameters required for the simulation model and solve the macroscopic response of the structural frame under dynamic loads; Perform data acquisition; Acquire the three-dimensional geometric model parameters of the cargo box door. These three-dimensional geometric model parameters are digital information describing the geometric shape of the door, which provides the basis for finite element mesh generation. The source of these parameters is CAD software modeling.

[0046] Simultaneously, a series of preset parameters are collected, which define the operating conditions and physical baselines of the simulation system:

[0047] Collect preset dynamic load conditions Decoupling transfer matrix Effective compression stroke in the normal direction ;

[0048] Preset sealing threshold, preset high-pressure water vapor impact pressure Preset water channel parameters, preset flow coefficient Preset weighting model, preset collaborative target, preset leakage-injection conversion threshold; Preset performance score threshold and preset redundancy score threshold;

[0049] Based on preset dynamic load conditions Solve the structural dynamics equations of the load-bearing domain; the purpose of this step is to calculate the response of the main load-bearing structure of the gate under dynamic loads; and determine the macroscopic structural displacements of the load-bearing domain. ;

[0050] S2, Failure Index Calculation; The purpose of this step is to calculate the macroscopic structural displacement based on the rigid-flexible decoupling model. Converted to micro-displacement of sealed interface And further quantified into a dynamic seal failure index. Combined with macroscopic structural displacement With decoupling transfer matrix Calculate the microscopic displacement of the sealed region Microscopic displacement based on the sealed domain With normal effective compression stroke The dynamic seal failure index was calculated. ;

[0051] S3, Failure Status Determination; The purpose of this step is to determine the sealing status based on the failure determination result of S2 and provide a trigger signal for S4.

[0052] In response to the dynamic seal failure index exceeding the preset seal threshold, i.e. If the seal fails, the leakage calculation and redundancy analysis in S4 will be triggered.

[0053] In response to the dynamic seal failure index not exceeding a preset sealing threshold, i.e. If the seal is valid, the redundant validity index of S4 will be generated.

[0054] S4, Water Conveying Redundancy Analysis; The purpose of this step is to evaluate the redundancy capability of the second line of defense (water convection channel) in response to the judgment result of S3.

[0055] In response to S3 determining a seal failure, calculate the instantaneous total flow rate of leakage. Based on preset water channel parameters, for example Hydraulic gradient and flow channel roughness Wait, calculate the maximum discharge flow rate. Combined with maximum discharge flow rate With instantaneous total flow Generate the water-conducting redundancy index ;

[0056] If the seal is deemed effective in response to S3, indicating that the first line of defense is intact, then the water diversion system is deemed to be redundant and effective.

[0057] S5, Synergy Index Generation; The purpose of this step is to normalize the two key performance indicators obtained in S2 and S4 and combine them into a single, optimizable overall objective function; Based on the dynamic seal failure index, a seal performance score is generated. Based on the water-conducting redundancy index, a redundancy performance score is generated. Combined with sealing performance score Redundancy performance score A total synergy index is generated using a pre-defined weighting model. ;

[0058] S6, Closed-loop optimization; the purpose of this step is to optimize the total synergy index generated in S5. It automatically iterates and optimizes the design parameters until the design goals are met;

[0059] In response to the overall synergy index not meeting the preset synergy target, for example If the system fails to meet the performance requirements, a graded correction strategy will be initiated; the system will strategically iteratively optimize at least one preset parameter based on the performance bottleneck.

[0060] In response to the overall synergy index meeting the preset synergy target, for example If the simulation optimization ends, the current design parameters are output as the final optimization result.

[0061] The method described in this embodiment, through the construction of a rigid-flexible decoupling model, dynamic failure discrimination, and redundant water-conducting analysis, achieves for the first time a unified quantitative evaluation of the load-bearing, sealing, and water-conducting performance of cargo box doors at the simulation level. More importantly, by constructing a single total synergy index and a hierarchical correction strategy, this method establishes a complete closed-loop optimization system. It can automatically iterate and balance conflicting design goals, solving the pain points of existing technologies that rely on engineer experience, have high trial-and-error costs, and cannot achieve collaborative optimization, thus significantly improving the quality and efficiency of cargo box door sealing design.

[0062] Example 2:

[0063] Solving the structural dynamics equations of the bearing domain includes: solving the macroscopic structural displacement of the bearing domain based on the mass matrix, damping matrix, and stiffness matrix of the bearing domain, combined with preset dynamic load conditions.

[0064] This embodiment is a specific implementation of the S1 step for solving the structural dynamics equations of the load-bearing domain; the purpose of solving the structural dynamics equations of the load-bearing domain is to accurately simulate the load-bearing domain under dynamic loads. The physical response under these conditions; in this embodiment, the solution is achieved through the standard finite element structural dynamics equations:

[0065]

[0066] It is the mass matrix of the load-bearing domain, representing the mass distribution of each node in the load-bearing domain structure. Its source is defined by the three-dimensional geometric model and material density.

[0067] It is the damping matrix of the load-bearing domain, representing the energy dissipation characteristics of the structure during vibration. Its source is determined according to the material properties and the structural connection method.

[0068] It is the stiffness matrix of the bearing domain, representing the structure's ability to resist deformation. It is obtained through finite element calculation using a three-dimensional geometric model and the elastic modulus of the material.

[0069] The preset dynamic load condition is an external force vector that is applied to the structure and changes over time. Its source is the load condition input collected in S1.

[0070] It is the macroscopic structural displacement of the bearing domain, representing the displacement vector of each node of the structure as time changes, and is the output of the solution to this equation;

[0071] and These are displacements The first derivative with respect to time is velocity, and the second derivative is acceleration;

[0072] Based on the inherent logic of this model, by constructing and solving this dynamic equation, this scheme can solve for the macroscopic structural displacement of the bearing domain based on the mass matrix, damping matrix, and stiffness matrix of the bearing domain, combined with preset dynamic load conditions. ;

[0073] This embodiment employs standard finite element structural dynamics equations, providing a solid physical foundation for the simulation; it ensures the accuracy of the calculated macroscopic structural displacements. It can accurately reflect the actual deformation and vibration response of the load-bearing frame under complex dynamic working conditions, thus providing high-precision and reliable input data for the subsequent rigid-flexible decoupling analysis S2, avoiding the problem of failure of the entire simulation chain due to structural model distortion.

[0074] Example 3:

[0075] The calculation of the dynamic seal failure index includes: multiplying the macroscopic structural displacement by the decoupling transfer matrix to obtain the microscopic displacement of the sealing domain; and based on the microscopic displacement of the sealing domain, dividing the component of the normal direction at the sealing interface by the effective normal compression stroke to obtain the dynamic seal failure index.

[0076] This embodiment is a specific implementation of step S2 for calculating the dynamic seal failure index; this step is the core of achieving rigid-flexible decoupling and failure discrimination; the purpose of calculating the dynamic seal failure index is to measure the macroscopic displacement of the bearing domain. Microscopic failure quantification index converted into sealing domain ;

[0077] Displacement of macrostructure Its source is the calculated output of S1, multiplied by the decoupling transfer matrix. The microscopic displacement of the sealed region is obtained. This step is achieved through the following decoupling transitive relationship:

[0078]

[0079] in, It is A transfer matrix of dimension, where It is a carrying domain The number of degrees of freedom, It is a sealed area The number of degrees of freedom; representing the ability of flexible connectors to isolate structural vibrations and deformations and their transmission paths; in traditional models, The identity matrix assumes that the seal is rigidly connected to the frame, resulting in The deformation must be transmitted as Deformation; It is the macroscopic structural displacement of the bearing domain;

[0080] It is a key parameter for realizing rigid-flexible decoupling simulation, and it characterizes the effect of the flexible connector on the macroscopic displacement of the bearing domain. The isolation and transmission characteristics; in this embodiment, This can be determined through a combination of simulation and experimental calibration:

[0081] Refined Sub-model Simulation: A locally refined finite element sub-model is established, including the sealing strip, mounting groove, and door contact surface. This sub-model employs a nonlinear material constitutive model capable of characterizing the physical properties of the sealing strip and incorporates contact nonlinearity. Typical macroscopic structural displacements are applied to the load-bearing domain boundary of the sub-model. As the input load, the microscopic displacements of the corresponding nodes on the sealed domain are obtained by solving. . The coefficients of each term in the matrix can be obtained through The relationship is calculated in reverse;

[0082] Experimental calibration and verification: Alternatively, dynamic vibration experiments can be conducted on the actual door-sealing strip assembly on a standard test bench, using tools such as laser displacement sensors to simultaneously measure the displacement response of key nodes in the load-bearing and sealing domains. Using the collected experimental data, the simulation sub-model can be calculated... The coefficients are corrected and calibrated to ensure that they accurately reflect the transmission characteristics of the physical system.

[0083] By introducing Functional separation was achieved at the model level, and the damping effect of flexible connections on vibration was quantified.

[0084] This formula is the mathematical embodiment of the rigid-flexible decoupling concept in this scheme; it is based on the microscopic displacement of the sealed domain obtained in the previous step. Divide its component in the normal direction at the sealing interface by the effective normal compression stroke. The dynamic seal failure index was obtained. This step is achieved using the following normalization formula:

[0085]

[0086] in, yes In the The displacement component perpendicular to the sealing surface at each node;

[0087] To achieve this calculation, the relationship in this embodiment... It should be understood specifically as vector operations;

[0088] Furthermore, the aforementioned normal components By taking the total microscopic displacement vector Extracted from nodes Three-dimensional displacement vector The unit normal vector to the sealed interface of this node The specific calculation formula for obtaining this through projection is as follows:

[0089]

[0090] in, It is determined in S1 based on the three-dimensional geometric model, at the nodes. A unit vector perpendicular to the sealing surface;

[0091] With this supplement The computational premises become clear and reproducible; This is the maximum normal deformation that the sealing strip can compensate for, and its source is the preset parameters collected in S1; this formula compares two core physical quantities: the deformation of the sealing interface that needs to be compensated. Compensation provided by the sealing strip ; This means that the deformation is within the sealing strip's capacity, and the seal is effective. This means that the deformation exceeds the limit, creating a momentary gap and causing the seal to fail;

[0092] This embodiment introduces... coefficients and sum The index has a dual benefit effect: firstly, The formula achieves structural load-bearing capacity at the simulation model level. With sealing function The separation of [the elements] solves the coupling problem in traditional models where structural deformation inevitably leads to seal failure; secondly, The formula normalizes the complex physical process into an intuitive and comparable failure index, transforming the question of whether a seal has failed from a vague qualitative issue into a precise quantitative one, providing accurate input for leakage calculations in S3 and performance scoring in S5.

[0093] Example 4:

[0094] After calculating the dynamic seal failure index, the method also includes: classifying the sealing status into effective sealing, instantaneous leakage, or high-pressure water injection based on the dynamic seal failure index and the preset leakage-water injection conversion threshold; wherein, S3 triggers leakage calculation in response to the sealing status being instantaneous leakage or high-pressure water injection.

[0095] This embodiment is based on the calculation of the dynamic seal failure index. Subsequently, a step was added to refine the classification of the sealing condition; based on the dynamic seal failure index. With preset leakage-injection conversion threshold The sealing status is classified into levels; status one is effective sealing, triggered by the following conditions: The physical meaning is the physical compensation capability of the sealing strip for displacement at the sealing interface. Within the range; State 2 is instantaneous leakage, triggered by the following conditions: , That is, a preset leakage-injection conversion threshold, for example The physical meaning is that the interface displacement has exceeded the compensation limit. This creates a momentary gap; state three is high-pressure water injection, triggered by the following conditions: The physical meaning is that the gap is severely exceeded, allowing high-pressure water vapor to escape from the outside. High-pressure water injection channels are formed under impact; this grading rule is defined in this scheme.

[0096] Should The threshold setting has a clear physical basis, and it is usually related to the crush point or failure point of the nonlinear compression characteristic curve of the sealing strip material; that is, when the deformation... Exceed When this occurs, the sealing strip not only loses its sealing ability, but its structure itself may also suffer irreversible damage or collapse, leading to a rapid expansion of the moisture passages. Therefore, The value setting ensures that this scheme can impose a more severe penalty on structural failures; specifically, S3 triggers leakage calculation in response to instantaneous leakage or high-pressure water injection in the sealing state; in other words, as long as The leakage calculation unit in S3 is then activated;

[0097] This embodiment provides richer diagnostic information than a binary judgment of failure or non-failure; by introducing... The threshold distinguishes between instantaneous leakage and high-pressure water injection, enabling this method to assess the severity of failure. This not only provides clear triggering conditions for the calculation of S3, but also enhances the sealing performance score in S5. It provides more refined penalty criteria, making the entire optimization system more sensitive and accurate in avoiding severe failures.

[0098] Example 5:

[0099] The calculation of the instantaneous total flow rate of leakage includes: traversing all failure nodes, multiplying the difference between the micro displacement and the effective normal compression stroke by the characteristic length of the sealing strip; summing the calculation results of all failure nodes to obtain the instantaneous total gap area; and calculating the instantaneous total flow rate of leakage based on the instantaneous total gap area and the preset high-pressure water vapor impact pressure, and using the preset flow coefficient, through the orifice outflow model.

[0100] This embodiment is a specific implementation of step S3 for calculating the instantaneous total flow rate of leakage; this step is in It is triggered at certain times to quantify the amount of water leakage;

[0101] Traverse all failed nodes, i.e. ,in It is all satisfied The set of nodes; the difference between the micro-displacement of the sealing domain and the effective normal compression stroke, i.e. Multiply by the characteristic length of the sealing strip corresponding to that node. This product Representing the The instantaneous gap area of ​​each failed node is calculated; the calculation results of all failed nodes are summed to obtain the total instantaneous gap area. This step is achieved using the following formula:

[0102]

[0103] in, It is the characteristic length of the sealing strip, which comes from the geometric model parameters collected by S1; yes In the The displacement components perpendicular to the sealing surface at each node are derived from the S2 calculation results; It is the maximum normal deformation that the sealing strip can compensate for, which comes from the S1 preset parameter;

[0104] Based on the instantaneous total gap area obtained in the previous step With preset high-pressure water vapor impact pressure And using a preset flow coefficient The instantaneous total flow rate of leakage was calculated using a standard orifice outflow model. This step is achieved using the following formula:

[0105]

[0106] in, The preset flow coefficient for S1; This is the result of the calculation in the previous step; Input the operating conditions collected by S1; Let be the density of water, and be a standard physical constant. The instantaneous total flow rate of the leakage is expressed in units of... ;

[0107] This embodiment will determine the failure in S2. Further quantification; through formula and This formula and method precisely convert the degree of failure into the amount of water leakage. This provides a clear load input for the water diversion redundancy analysis in S4, transforming the question of whether the water diversion channel is sufficient from a qualitative assessment to a data-driven approach. Penetration and The precise quantitative comparison of discharge volume greatly enhances the scientific nature of redundancy design.

[0108] Example 6:

[0109] The overall synergy index is generated by: generating a sealing performance score based on the maximum value of the dynamic sealing failure index; generating a redundancy performance score based on the minimum value of the water-conducting redundancy index; and weighting and summing the sealing performance score and the redundancy performance score using a preset weighting model to obtain the overall synergy index.

[0110] This embodiment is a specific implementation of step S5 for generating the overall synergy index; the purpose of this step is to merge two key but different performance indicators, namely sealing performance and redundancy performance, into a single optimization objective. ;

[0111] Maximum value based on dynamic seal failure index Generate sealing performance score ; This refers to all nodes and the entire simulation time domain Internal observation The maximum value is derived from the calculation output of S2; The calculation formula is as follows, which is defined as a piecewise function to ensure that the score is correctly normalized to... Interval:

[0112]

[0113] in, The score is for sealing performance, dimensionless, range. ; The dynamic sealing failure index is the maximum value of the dynamic sealing failure index across all nodes and the entire time domain, and is dimensionless. The preset leakage-injection conversion threshold is dimensionless.

[0114] This formula will Normalization to The interval; its physical meaning is: when That is, when the seal is effective, Full marks; when That is, during instantaneous leakage, the score is... Follow Increases and decreases linearly from 1 to 0; when That is, during high-pressure water injection, Zero points;

[0115] Minimum value based on the water-conducting redundancy index Generate redundancy performance score ; This refers to the calculation by S4. The minimum value over the entire simulation time domain is used to evaluate the lowest performance of the water channel under maximum leakage load. The calculation formula is as follows:

[0116]

[0117] in, The water-conducting redundancy index is dimensionless.

[0118] This formula is used to evaluate whether the water guide channel is qualified; when That is, when redundancy is effective and the discharge capacity is greater than the leakage volume, Full marks; when That is, when redundancy fails and there is a risk of water accumulation, The score decreases proportionally;

[0119] Score the sealing performance Redundancy performance score The total synergy index is obtained by weighted summation using a pre-defined weighting model. ; and All results are from the calculations performed in this step; The calculation formula is as follows:

[0120]

[0121] in, and The sealing weight and water conduction weight collected by S1 are used to balance design preferences, and ;

[0122] This embodiment successfully integrates a high-precision internal seal, by... ;

[0123] This embodiment successfully integrates a high-precision internal seal, by... Quantification, these two originally independent and potentially conflicting complex performance metrics, through The formula is constructed into a single synergistic index that represents the integration of three defenses. ; As a unified The optimization objective function of the interval makes automatic closed-loop optimization in S6 possible, solving the engineering problem of convergence and trade-offs in multi-objective optimization.

[0124] Example 7:

[0125] The graded correction strategy includes: in response to a sealing performance score being less than a preset performance score threshold, a first-level correction is performed to optimize the decoupled transfer matrix or the effective compression stroke of the normal direction.

[0126] If the redundancy performance score is less than the preset redundancy score threshold, a secondary correction is performed to optimize the water channel parameters.

[0127] If the parameters in the first-level correction have reached the material limit, then the third-level correction is performed to optimize the stiffness of the bearing domain.

[0128] This embodiment is a specific implementation of the graded correction strategy for step S6; this strategy is based on the total synergy index. When the preset collaboration goals are not met, such as It is triggered to guide the system on how to efficiently iteratively optimize design parameters;

[0129] In response to sealing performance score The score is less than a preset performance score threshold, which is 1 in this embodiment. If a sealing failure is detected, a first-level correction is performed; if the system determines that the sealing domain design is inadequate, the decoupling transfer matrix is ​​tuned. or normal effective compression stroke For example, optimization Higher damping flexible connectors can be selected accordingly; optimization. A thicker sealing strip can be selected accordingly; the goal of this modification is to iterate until... ;

[0130] Response to redundancy performance score The score is less than a preset redundancy score threshold, which is 1 in this embodiment. If the system indicates a risk of water accumulation, a secondary correction is performed; if the system determines that the guide channel design is inadequate, the guide channel parameters are optimized, for example, by increasing the cross-sectional area of ​​the guide channel. Or hydraulic gradient The goal of this correction is to iterate until... ;

[0131] In response to the first-order correction, the parameters have reached the material limit, for example... It has been reduced to the lowest level or It has increased to the maximum, but If the value is still less than 1, a third-level correction is performed; the system determines it to be a bearer domain. The original deformation was too large, exceeding the compensable range of the sealing domain. In this case, the stiffness of the bearing domain was optimized. For example, increasing the wall thickness of the load-bearing square tube can reduce the risk at the source. The amplitude;

[0132] This embodiment provides a set of efficient and economical correction logic for closed-loop optimization S6 that conforms to engineering practice. This strategy simulates the design thinking of senior engineers: prioritize adjusting soft parameters with lower modification costs, such as first-level and second-level corrections; only when the above measures are ineffective will the most costly third-level correction be initiated, that is, modifying the bearing domain. This hierarchical strategy avoids blind iteration, significantly accelerates simulation convergence, and achieves the synergistic goal with minimal design cost. .

[0133] Example 8:

[0134] Please see Figure 2 The present invention also provides a simulation and optimization system for the sealing performance of cargo box doors, comprising:

[0135] The data acquisition module is used to collect model parameters, dynamic load conditions, and preset parameters required for simulation optimization.

[0136] The simulation processing module includes:

[0137] The structural displacement calculation unit is used to solve the structural dynamic equations of the bearing domain based on the model parameters and dynamic load conditions, and to determine the macroscopic structural displacement of the bearing domain.

[0138] The failure index calculation unit is used to combine the macroscopic structural displacement and the decoupling transfer matrix to calculate the microscopic displacement of the sealing domain, and to calculate the dynamic seal failure index based on the microscopic displacement and the normal effective compression stroke.

[0139] The leakage calculation unit is used to calculate the instantaneous total leakage flow rate in response to the dynamic seal failure index being greater than the preset seal threshold; and to determine that the seal is effective in response to the dynamic seal failure index not being greater than the preset seal threshold.

[0140] The redundancy index generation unit is used to calculate the maximum discharge flow rate based on preset water guide channel parameters in response to the calculation of the instantaneous total flow rate, and to generate a water guide redundancy index by combining the maximum discharge flow rate with the instantaneous total flow rate; in response to the failure to calculate the instantaneous total flow rate, the water guide system is determined to be redundant and effective.

[0141] The synergy index generation unit is used to generate a sealing performance score and a redundancy performance score based on the dynamic sealing failure index and the water-conducting redundancy index, respectively; and to generate a total synergy index by combining the scores with a preset weight model.

[0142] The closed-loop optimization module is used to iteratively optimize at least one preset parameter through a hierarchical correction strategy if the total synergy index does not meet the preset synergy target; and to end the optimization if the total synergy index meets the preset synergy target.

[0143] This embodiment provides a simulation and optimization system for the sealing performance of cargo box doors, which is a hardware or software platform for implementing the above method; it includes a data acquisition module, a simulation processing module, and a closed-loop optimization module;

[0144] The data acquisition module is a data input interface designed to collect and initialize all parameters required for the simulation. This module is used to collect model parameters, dynamic load conditions, and preset parameters needed for simulation optimization. Specifically, it may include: three-dimensional geometric model parameters (including the feature length of the sealing strip). Preset dynamic load conditions Decoupling transfer matrix Effective compression stroke in the normal direction Preset sealing threshold, preset high-pressure water vapor impact pressure Preset water channel parameters, preset flow coefficient Preset weighting model, preset collaborative target, preset leakage-injection conversion threshold Preset performance score threshold and preset redundancy score threshold;

[0145] The simulation processing module is the central processing unit that performs the core simulation calculations; this module contains a structural displacement calculation unit, used to calculate based on preset dynamic load conditions. Solve the structural dynamics equations of the bearing domain and determine the macroscopic structural displacements of the bearing domain. This module also includes a failure index calculation unit, used to combine macroscopic structural displacement. With decoupling transfer matrix Calculate the microscopic displacement of the sealed region And based on the micro-displacement of the sealed domain With normal effective compression stroke The dynamic seal failure index was calculated. This module also includes a leakage calculation unit, used in response to the dynamic seal failure index. If the value exceeds the preset sealing threshold, then the micro-displacement is based on the sealing domain. Combined with normal direction to effectively compress the stroke With preset high-pressure water vapor impact pressure Calculate the instantaneous total flow rate of the leakage. If the dynamic seal failure index is not greater than the preset seal threshold, the seal is deemed effective. This module also includes a redundant index generation unit, used to calculate the instantaneous total leakage flow rate. The maximum discharge flow rate is then calculated based on the preset water guide channel parameters. and combined with the maximum discharge flow rate With instantaneous total flow Generate the water-conducting redundancy index ;

[0146] Specifically, maximum discharge flow rate It is based on the preset water guide channel parameters collected in S1 and the design average drainage velocity obtained from subsequent calculations. The result was obtained through calculations using fundamental fluid mechanics formulas:

[0147]

[0148] in, The effective drainage cross-sectional area of ​​the water guide channel is calculated per unit. ; The average drainage velocity is designed for the water guide channel, per unit Design average drainage velocity It is not an independent preset parameter, but is based on other water guide parameters, such as the effective drainage cross-sectional area collected in S1. Hydraulic gradient and flow channel roughness It is calculated using standard fluid dynamics formulas, such as the Manning formula. ,in The hydraulic radius is The function;

[0149] Water conduction redundancy index It is defined by comparing the maximum discharge capacity of the water guide channel with the actual leakage volume; for S5 The calculation logic provides support, and the index should be defined as the ratio of the two:

[0150]

[0151] in, The maximum discharge flow rate of the water guide channel, in units ;

[0152] when At this time This indicates extremely high redundancy, which conforms to the description of determining the redundancy effectiveness of the water diversion system in S4.

[0153] In response to the instantaneous total flow rate without calculating leakage, the water diversion system is deemed redundant and effective. This module also includes a collaborative index generation unit for generating a sealing performance score based on a dynamic seal failure index. Redundancy performance scores are generated based on the water-conducting redundancy index. ; and combined with the sealing performance score Redundancy performance score A total synergy index is generated using a pre-defined weighting model. ;

[0154] The closed-loop optimization module is the controller that performs decision-making and iteration; it is used to respond to the total synergy index input by the synergy index generation unit. If the preset coordination target input from the data acquisition module is not met, a hierarchical correction strategy is used to iteratively optimize at least one preset parameter design fed back to the data acquisition module or simulation processing module; in response to the overall coordination index. If the preset collaboration goal is met, the optimization ends.

[0155] The system described in this embodiment provides a modular and integrated simulation optimization platform by solidifying the method steps into a data acquisition module, a simulation processing module containing five core computing units, and a closed-loop optimization module. The system has a clear architecture and well-defined responsibilities for each unit. It can automatically and continuously execute the complete closed loop from data input, simulation analysis, performance evaluation to parameter iteration, transforming the complex design optimization process from manual operation to automated system execution, which greatly improves the speed and reliability of design iteration.

[0156] Example 9:

[0157] The closed-loop optimization module is specifically used for:

[0158] If the sealing performance score is less than the preset performance score threshold, a first-level correction is performed to optimize the decoupling transfer matrix or the normal effective compression stroke.

[0159] If the redundancy performance score is less than the preset redundancy score threshold, a secondary correction is performed to optimize the water channel parameters.

[0160] If the parameters in the first-level correction have reached the material limit, then the third-level correction is performed to optimize the stiffness of the bearing domain.

[0161] This embodiment describes a specific configuration and implementation of a closed-loop optimization module. In this embodiment, the closed-loop optimization module is configured to execute a hierarchical correction strategy. This module receives data from the cooperative index generation unit. and The score is calculated, and parameter tuning instructions are sent to the data acquisition module or simulation processing module according to the following logic;

[0162] This module responds to the sealing performance score. Less than the preset performance score threshold, such as Then, a first-level correction is performed, and instructions are issued to optimize the decoupling transfer matrix. or normal effective compression stroke ;

[0163] This module responds to redundancy performance scores. Less than the preset redundancy score threshold, such as If so, a second-level correction is performed, and a command is issued to optimize the parameters of the water guide channel;

[0164] This module responds when the parameters in the first-level correction have reached the material limit, for example, when the module attempts to optimize. However, feedback was received indicating that the lower limit had been reached. If the value is still less than the threshold, a third-level correction is performed, and a command is issued to optimize the stiffness of the bearing domain. ;

[0165] This embodiment provides a clear and efficient pathfinding algorithm for the system's optimization engine by embedding this three-level correction logic in the closed-loop optimization module. The benefit of this configuration is that it ensures that the system's iterative behavior is structured and economical, prioritizing the optimization of low-cost sealing and guiding domains before initiating the optimization of high-cost bearing domains. This ensures that the system's behavior path during automatic optimization is consistent with the design experience of senior engineers, significantly improving optimization efficiency and reducing the overall design cost of the final solution.

[0166] The above are merely preferred embodiments of the present invention and are not intended to limit the present invention in any other way. Any person skilled in the art may make changes or modifications to the above-disclosed technical content to create equivalent embodiments that can be applied to other fields. However, any simple modifications, equivalent changes, and modifications made to the above embodiments based on the technical essence of the present invention without departing from the scope of the present invention shall still fall within the protection scope of the present invention.

Claims

1. A method for simulation optimization of sealing performance for a cargo door body design, characterized by, The method comprises the following steps: S1, based on the three-dimensional geometric model parameters of the cargo compartment door body and the preset dynamic load working condition, the structural dynamics equation of the bearing domain is solved to determine the macroscopic structure displacement of the bearing domain; S2, combining the macroscopic structure displacement and the decoupling transfer matrix, the microscopic displacement of the sealing domain is calculated; based on the microscopic displacement and the normal effective compression stroke, the dynamic sealing failure index is calculated; the normal effective compression stroke is the maximum normal deformation that can be compensated by the sealing strip; S3, determine whether the dynamic sealing failure index is greater than the preset sealing threshold; if not, it is determined that the sealing is effective, and step S4 is turned to; if yes, step S4 is turned to; S4, in response to S3 being yes, the instantaneous total flow of leakage is calculated, and the maximum discharge flow determined based on the preset water guide groove parameters and the instantaneous total flow is used to generate a water guide redundancy index; in response to S3 being no, it is determined that the water guide system redundancy is effective, and a redundancy effective water guide redundancy index is generated; S5, based on the dynamic sealing failure index and the water guide redundancy index, the sealing performance score and the redundancy performance score are generated respectively; combining the sealing performance score, the redundancy performance score and the preset weight model, the total synergy index is generated; S6, determine whether the total synergy index meets the preset synergy target; if not, at least one preset parameter is iteratively optimized through a hierarchical correction strategy; if yes, the optimization is ended.

2. A method for simulation optimization of sealing performance for a cargo door design according to claim 1, characterized in that, Solving the structural dynamics equation of the bearing domain includes: based on the mass matrix of the bearing domain, the damping matrix of the bearing domain and the stiffness matrix of the bearing domain, combining the preset dynamic load working condition, the macroscopic structure displacement of the bearing domain is solved.

3. The method for simulation optimization of sealing performance for a cargo door design of claim 1, wherein, The dynamic sealing failure index is calculated by multiplying the macroscopic structure displacement by the decoupling transfer matrix to obtain the microscopic displacement of the sealing domain; the dynamic sealing failure index is obtained by dividing the normal component of the microscopic displacement of the sealing domain by the normal effective compression stroke.

4. The method for simulation optimization of sealing performance for a cargo door design of claim 1, wherein, After calculating the dynamic sealing failure index, it also includes: according to the dynamic sealing failure index and the preset leakage-water injection conversion threshold, the sealing state is classified as sealing effective, instantaneous leakage or high-pressure water injection; wherein S3 triggers the leakage calculation in response to the sealing state being instantaneous leakage or high-pressure water injection.

5. The method for simulation optimization of sealing performance for a cargo door design of claim 1, wherein, The instantaneous total flow of leakage is calculated by: traversing all the failure nodes, multiplying the difference between the microscopic displacement and the normal effective compression stroke by the characteristic length of the sealing strip; accumulating the calculation results of all the failure nodes to obtain the instantaneous total gap area; based on the instantaneous total gap area and the preset high-pressure water vapor impact pressure, and using the preset flow coefficient, the instantaneous total flow of leakage is calculated through the orifice outflow model.

6. The method for simulation optimization of sealing performance for a cargo door design of claim 1, wherein, The total synergy index is generated by: generating a sealing performance score based on the maximum value of the dynamic sealing failure index; generating a redundancy performance score based on the minimum value of the water guide redundancy index; the sealing performance score and the redundancy performance score are weighted and summed by the preset weight model to obtain the total synergy index.

7. The method for simulation optimization of sealing performance for a cargo door design of claim 1, wherein, The hierarchical correction strategy comprises: in response to the sealing performance score being less than a preset performance score threshold, performing a first-level correction to optimize the decoupling transfer matrix or the normal effective compression stroke; in response to the redundancy performance score being less than a preset redundancy score threshold, performing a second-level correction to optimize the water channel parameter; and in response to the parameter having reached a material limit in the first-level correction, performing a third-level correction to optimize the bearing domain stiffness.

8. A system for optimizing the simulation of the sealing performance of a cargo door design, applied to a method for optimizing the simulation of the sealing performance of a cargo door design according to any one of claims 1 to 7, characterized in that, The hierarchical correction strategy comprises: a data acquisition module configured to acquire model parameters, dynamic load conditions and preset parameters required for performing simulation optimization; a simulation processing module comprising: a structure displacement calculation unit configured to solve a structure dynamics equation of a bearing domain based on the model parameters and the dynamic load conditions, and determine a macroscopic structure displacement of the bearing domain; a failure index calculation unit configured to calculate a microscopic displacement of a sealing domain in combination with the macroscopic structure displacement and the decoupling transfer matrix, and calculate a dynamic sealing failure index based on the microscopic displacement and the normal effective compression stroke; a leakage calculation unit configured to, in response to the dynamic sealing failure index being greater than a preset sealing threshold, calculate a transient total flow of leakage; and in response to the dynamic sealing failure index not being greater than the preset sealing threshold, determine that the sealing is effective; a redundancy index generation unit configured to, in response to the transient total flow being calculated, calculate a maximum discharge flow based on preset water channel parameters, and generate a water channel redundancy index in combination with the maximum discharge flow and the transient total flow; and in response to the transient total flow not being calculated, determine that the water discharge system redundancy is effective, and generate a water channel redundancy index of the redundancy being effective; a synergy index generation unit configured to generate a sealing performance score and a redundancy performance score based on the dynamic sealing failure index and the water channel redundancy index, respectively; and generate a total synergy index in combination with the sealing performance score, the redundancy performance score and a preset weight model; a closed-loop optimization module configured to, in response to the total synergy index not satisfying a preset synergy target, iteratively optimize at least one preset parameter through the hierarchical correction strategy; and in response to the total synergy index satisfying the preset synergy target, end the optimization.

9. A system for simulation optimization of sealing performance for a cargo door design according to claim 8, characterized in that, The closed-loop optimization module is specifically configured to: in response to the sealing performance score being less than a preset performance score threshold, perform a first-level correction to optimize the decoupling transfer matrix or the normal effective compression stroke; in response to the redundancy performance score being less than a preset redundancy score threshold, perform a second-level correction to optimize the water channel parameter; and in response to the parameter having reached a material limit in the first-level correction, perform a third-level correction to optimize the bearing domain stiffness.

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