Military shelter thermodynamic property analysis and optimization method based on finite element

Abstract

The invention discloses a military shelter thermodynamic property analysis and optimization method based on finite elements, and relates to the technical field of finite element thermodynamic analysis. According to the military shelter thermodynamic performance analysis and optimization method based on the finite element, grid division processing is carried out based on a finite element model of a military shelter to be analyzed stored in a database, a plurality of shelter plate finite elements of the military shelter to be analyzed are obtained, and thermodynamic behavior simulation data are obtained for comprehensive analysis; according to the method, the thermal performance evaluation index of the cabin plate and the mechanical performance evaluation index of the cabin plate are optimized and analyzed, corresponding optimization measures are taken based on the optimization analysis result, and the thermal performance evaluation index of the cabin plate and the mechanical performance evaluation index of the cabin plate are obtained. Therefore, the thermodynamic properties under various working conditions are accurately and comprehensively evaluated, so that the structure of the military shelter is adjusted when different environment and load requirements are met, and the reliability of the military shelter is further improved.

Description

Technical Field

[0001] The present invention relates to the technical field of finite element thermodynamics analysis, and specifically provides a method for analyzing and optimizing the thermodynamic performance of military shelters based on finite elements. Background Technique

[0002] The finite element analysis method is one of the important methods in the field of engineering analysis today. The finite element simulation technology based on the finite element method has gradually become the key method for modeling, simulation calculation and optimization of major engineering technologies and products, and is increasingly widely used. There are endless studies on the finite element simulation analysis of shelters. Moreover, military shelters are a special type of automobile carriage. The military special vehicle shelter is a new type of equipment in current military ground equipment. It can adapt to various transportation forms, has good mobility, and can provide a good internal working environment under harsh conditions such as engineering emergency rescue, life reserve, medical rescue, power supply, and military operations, and has various protection capabilities. Military special shelters have sufficient rigidity and service life, and are widely used in various fields due to their flexible transfer, reliable electromagnetic compatibility, and good airtightness.

[0003] The limitations of the existing technology at least include the following problems. The existing technology only analyzes single working conditions, and it is easy to ignore the thermal and mechanical behaviors and stress changes of the cabin panels under multiple working conditions. Moreover, in the existing technology, the thermodynamic and mechanical properties are often analyzed independently, and it is difficult to obtain a comprehensive evaluation of the cabin panel performance. Especially in the thermo-mechanical coupling environment, the thermal and mechanical behaviors of the cabin panels affect each other, and it is difficult to optimize comprehensively. Summary of the Invention

[0004] In view of the deficiencies of the existing technology, the present invention provides a method for analyzing and optimizing the thermodynamic performance of military shelters based on finite elements, which solves the problems that the existing technology easily ignores the thermal and mechanical behaviors and stress changes of the cabin panels under multiple working conditions and the thermal and mechanical behaviors of the cabin panels affect each other in the thermo-mechanical coupling environment.

[0005] To achieve the above objectives, the present invention is realized through the following technical solutions: A method for analyzing and optimizing the thermodynamic performance of military shelters based on finite elements, including the following steps: Perform mesh division processing on the finite element model of the military shelter to be analyzed stored in the database to obtain several cabin panel finite elements of the military shelter to be analyzed; Obtain the thermal and mechanical behavior simulation data of each cabin panel finite element of the military shelter to be analyzed under each working condition, and perform data analysis to obtain the thermal performance evaluation index and mechanical performance evaluation index of the cabin panels of the military shelter to be analyzed. Perform comprehensive analysis on the thermal performance evaluation index and mechanical performance evaluation index of the cabin panels of the military shelter to be analyzed to obtain the thermal-mechanical performance evaluation index of the cabin panels of the military shelter to be analyzed. Optimize and analyze the evaluation index of the thermal performance of the cabin panels of the military shelter to be analyzed, and take corresponding optimization measures based on the results of the optimization analysis.

[0006] Furthermore, the thermal behavior simulation data includes temperature value, thermal stress value, phase change effect value, thermal fatigue value, thermal strain value, stress index, displacement value, buckling critical load value, strain energy storage value, strain hardening value, crack initiation index.

[0007] Furthermore, the specific formula for calculating the evaluation index of the thermal performance of the cabin panels of the military shelter to be analyzed is as follows: Among them, ZrL is the evaluation index of the thermal performance of the cabin panels of the military shelter to be analyzed, RxP and LxP are the evaluation index of the thermal performance and the evaluation index of the mechanical performance of the cabin panels of the military shelter to be analyzed respectively, and α1, α2, and α3 are the thermal evaluation adjustment coefficient, the force evaluation adjustment coefficient, and the interaction coefficient stored in the database in sequence.

[0008] Furthermore, the specific steps to obtain several finite elements of the cabin panels of the military shelter to be analyzed are as follows: Obtain the length values, width values, warping angle values, and Jacobian ratio values of several finite element meshes in the finite element model of the military shelter to be analyzed stored in the database, and perform standardization processing; Based on the length values, width values, warping angle values, and Jacobian ratio values of each finite element mesh in the finite element model of the military shelter to be analyzed stored in the database after standardization processing, conduct comprehensive analysis to obtain the classification index of each finite element mesh in the finite element model of the military shelter to be analyzed, and conduct judgment analysis to obtain several finite elements of the cabin panels of the military shelter to be analyzed.

[0009] Furthermore, the specific steps to obtain the evaluation index of the thermal performance of the cabin panels of the military shelter to be analyzed are as follows: Obtain the material characteristic data of each cabin panel finite element of the military shelter to be analyzed under each working condition, and the material characteristic data includes elastic modulus value, tensile strength value, yield strength value, and Poisson's ratio, and conduct comprehensive analysis to obtain the modified index of the cabin panel material of the military shelter to be analyzed; Conduct comprehensive analysis on the temperature values of each cabin panel finite element of the military shelter to be analyzed under each working condition to obtain the temperature distribution index of the cabin panels of the military shelter to be analyzed; Read the thermal stress values, phase change effect values, thermal fatigue values, and thermal strain values of each cabin panel finite element of the military shelter to be analyzed under each working condition, and conduct comprehensive analysis to obtain the thermo-mechanical performance index of the cabin panels of the military shelter to be analyzed; Conduct normalization processing on the modified index of the cabin panel material, the temperature distribution index of the cabin panels, and the thermo-mechanical performance index of the cabin panels of the military shelter to be analyzed; Based on the panel material correction index, panel temperature distribution index, and panel thermo-mechanical performance index of the military shelter to be analyzed after normalization processing, a comprehensive analysis is carried out to obtain the panel thermo-performance evaluation index of the military shelter to be analyzed.

[0010] Further, the specific steps to obtain the panel material correction index of the military shelter to be analyzed are as follows: Obtain the reference values of elastic modulus, tensile strength, yield strength, and Poisson's ratio of each panel finite element of the military shelter to be analyzed; And comprehensively analyze the reference values of elastic modulus, tensile strength, yield strength, and Poisson's ratio of each panel finite element of the military shelter to be analyzed, as well as the elastic modulus values, tensile strength values, yield strength values, and Poisson's ratio values under each working condition, to obtain the panel material correction index of the military shelter to be analyzed.

[0011] Further, the specific formulas for calculating the panel thermo-mechanical performance index and the panel thermo-performance evaluation index of the military shelter to be analyzed are as follows: Among them, RxN is the panel thermo-mechanical performance index of the military shelter to be analyzed, RyL ij 、RxY ij 、RpL ij 、RyB ij are the thermal stress value, phase change effect value, thermal fatigue value, and thermal strain value of the i-th panel finite element of the military shelter to be analyzed under the j-th working condition in sequence, φ1, φ2, φ3, φ4, φ5 are the thermal stress adjustment coefficient, phase change adjustment coefficient, thermal fatigue adjustment coefficient, thermal strain adjustment coefficient, and thermal superposition coefficient stored in the database in sequence, RxP is the panel thermo-performance evaluation index of the military shelter to be analyzed, CbX′, CwB′, RxN′ are the panel material correction index, panel temperature distribution index, and panel thermo-mechanical performance index of the military shelter to be analyzed after normalization processing in sequence, η1, η2, η3 are the panel material coefficient, temperature distribution coefficient, and thermo-mechanical coefficient stored in the database in sequence, ξ is the interaction adjustment coefficient stored in the database, η1 + η2 + η3 = 1, i = 1, 2, 3,..., i0, i0 is the number of panel finite elements, j = 1, 2, 3,..., j0, j0 is the number of panel finite elements, and e is the natural constant.

[0012] Further, the specific steps to obtain the panel mechanical performance evaluation index of the military shelter to be analyzed are as follows: Comprehensively analyze the stress index of each panel finite element of the military shelter to be analyzed under each working condition to obtain the stress distribution index of the military shelter to be analyzed; Normalize the displacement value, buckling critical load value, strain energy storage value, strain hardening value, and crack initiation index of each finite element of the military shelter to be analyzed under each working condition; Based on the buckling critical load value, strain energy storage value, and strain hardening value of each finite element of the military shelter to be analyzed under each working condition after normalization, perform a comprehensive analysis to obtain the load-bearing index of the shelter board of the military shelter to be analyzed; Based on the displacement value and crack initiation index of each finite element of the military shelter to be analyzed under each working condition after normalization, perform a comprehensive analysis to obtain the reliability index of the shelter board of the military shelter to be analyzed; Perform a comprehensive analysis on the stress distribution index, load-bearing index, and reliability index of the shelter board of the military shelter to be analyzed to obtain the mechanical property evaluation index of the shelter board of the military shelter to be analyzed.

[0013] Furthermore, the specific formulas for calculating the load-bearing index, reliability index, and mechanical property evaluation index of the shelter board of the military shelter to be analyzed are as follows: Among them, CzS is the load-bearing index of the shelter board of the military shelter to be analyzed, QhL′ ij , XbY′ ij , YbN′ ij are the buckling critical load value, strain hardening value, and strain energy storage value of the i-th finite element of the shelter board after normalization under the j-th working condition in sequence. λ1, λ2, and λ3 are the cooperation coefficient, attenuation control coefficient, and nonlinear adjustment coefficient stored in the database in sequence. BkZ is the reliability index of the shelter board of the military shelter to be analyzed, WyZ′ ij , LmZ′ ij are the displacement value and crack initiation index of the i-th finite element of the shelter board after normalization under the j-th working condition in sequence. are the displacement coefficient and initiation coefficient stored in the database in sequence. LxP is the mechanical property evaluation index of the shelter board of the military shelter to be analyzed, YbF is the stress distribution index of the military shelter to be analyzed, and θ1, θ2, θ3, and θ4 are the stress distribution adjustment coefficient, load-bearing adjustment coefficient, reliability adjustment coefficient, and interaction control coefficient stored in the database in sequence. i = 1, 2, 3,..., i0, where i0 is the number of finite elements of the shelter board, and j = 1, 2, 3,..., j0, where j0 is the number of finite elements of the shelter board, and e is the natural constant.

[0014] Furthermore, the specific steps for optimizing the thermal-mechanical property evaluation index of the shelter board of the military shelter to be analyzed and taking corresponding optimization measures based on the optimization analysis results are as follows: Compare and analyze the thermal-mechanical property evaluation index of the shelter board of the military shelter to be analyzed with the preset threshold of the thermal-mechanical property evaluation index of the shelter board; If the thermal performance evaluation index of the cabin panel of the military shelter to be analyzed is lower than the preset threshold of the thermal performance evaluation index of the cabin panel, it is marked as a substandard military shelter, and the first optimization measure is taken; If the thermal performance evaluation index of the cabin panel of the military shelter to be analyzed is not lower than the preset threshold of the thermal performance evaluation index of the cabin panel, it is marked as a qualified military shelter, and the second optimization measure is taken.

[0015] The present invention has the following beneficial effects: (1). The finite element-based method for analyzing and optimizing the thermodynamic performance of military shelters provides a more accurate and comprehensive thermodynamic performance evaluation for military shelters by comprehensively analyzing thermal and mechanical properties. It considers the coupling effects of multiple factors such as temperature changes, stress distributions, and thermal strains, and thus can better optimize the cabin panel design to improve the reliability and safety of the shelter under different usage conditions. For example, under the roller bar condition, when the cabin panel is subjected to the dual action of temperature and mechanical load, this method can timely detect the thermal stress concentration area through comprehensive analysis of thermal behavior and mechanical response, and propose a structural optimization plan, such as changing the material or thickness of the cabin panel, to effectively improve the heat resistance ability.

[0016] (2). The finite element-based method for analyzing and optimizing the thermodynamic performance of military shelters improves the compressive and thermal adaptation abilities of the shelter under extreme conditions through detailed thermal and mechanical performance evaluations, so as to ensure its long-term reliable operation in extreme environments. For example, for the problem of excessive thermal expansion that is likely to occur when the shelter is in the lifting condition, this method will select a suitable high heat-resistant alloy through the material correction index adjustment and combine the temperature distribution index adjustment to optimize the heat dissipation design, so as to ensure that the shelter does not deform in an environment with a large temperature difference, thus meeting the requirements of military missions.

[0017] (3). The finite element-based method for analyzing and optimizing the thermodynamic performance of military shelters can dynamically adjust the design of the cabin panel according to different working conditions and mission requirements. In this way, the military shelter can easily cope with different usage conditions and demand changes, and at the same time, the optimized design can also maintain a high reliable performance for a long time, thereby improving the design efficiency, extending the service life of the shelter, and reducing the maintenance cost. For example, in different military missions, the shelter needs to cope with different environmental and load requirements. If the mission involves a high-temperature environment, the data of high heat-resistant materials can be quickly retrieved through simulation software for rapid adjustment, so as to improve the adaptability and combat ability of the shelter.

[0018] Of course, it is not necessary for any product implementing the present invention to achieve all the above-mentioned advantages simultaneously. Description of the Drawings

[0019] Figure 1This is a flowchart of a method for analyzing and optimizing the thermodynamic performance of a military shelter based on finite elements according to the present invention.

[0020] Figure 2 This is a flowchart of the steps for obtaining the evaluation index of the thermal performance of the cabin board of the military shelter to be analyzed in the method for analyzing and optimizing the thermodynamic performance of a military shelter based on finite elements according to the present invention.

[0021] Figure 3 This is a flowchart of the steps for obtaining the evaluation index of the mechanical performance of the cabin board of the military shelter to be analyzed in the method for analyzing and optimizing the thermodynamic performance of a military shelter based on finite elements according to the present invention. Specific implementation manners

[0022] Please refer to Figure 1 , an embodiment of the present invention provides a technical solution: a method for analyzing and optimizing the thermodynamic performance of a military shelter based on finite elements, including the following steps: performing mesh division processing on the finite element model of the military shelter to be analyzed stored in the database to obtain a number of cabin board finite elements of the military shelter to be analyzed; obtaining the thermal behavior simulation data of each cabin board finite element of the military shelter to be analyzed under several working conditions (such as, the bottom plate bearing condition, the lifting condition, and the condition of two rollers rolling on the shelter), and performing data analysis to obtain the evaluation index of the thermal performance of the cabin board of the military shelter to be analyzed and the evaluation index of the mechanical performance of the cabin board; comprehensively analyzing the evaluation index of the thermal performance of the cabin board and the evaluation index of the mechanical performance of the cabin board of the military shelter to be analyzed to obtain the evaluation index of the thermal-mechanical performance of the cabin board of the military shelter to be analyzed; performing optimization analysis on the evaluation index of the thermal-mechanical performance of the cabin board of the military shelter to be analyzed, and taking corresponding optimization measures based on the optimization analysis results.

[0023] The specific formula for calculating the evaluation index of the thermal-mechanical performance of the cabin board of the military shelter to be analyzed is as follows: Wherein, ZrL is the evaluation index of the thermal-mechanical performance of the cabin board of the military shelter to be analyzed, RxP is the evaluation index of the thermal performance of the cabin board of the military shelter to be analyzed, α1 is the thermal evaluation adjustment coefficient stored in the database, LxP is the evaluation index of the mechanical performance of the cabin board of the military shelter to be analyzed, α2 is the force evaluation adjustment coefficient stored in the database, and α3 is the interaction coefficient stored in the database.

[0024] It should be noted that the term exp(-α3*RxP*LxP) in the formula is used to adjust the superposition effect of the thermal response evaluation index and the evaluation index of the mechanical performance of the cabin board, so as to avoid the evaluation index of the thermal-mechanical performance of the cabin board being too high or too low.

[0025] α1, α2, and α3 can be obtained through the following steps: Using historical data, combined with indicators such as the thermal performance evaluation index and mechanical performance evaluation index of the cabin board, perform statistical regression analysis to quantify the specific impact of each factor on the thermal-mechanical performance evaluation index of the cabin board, thereby fitting the initial weight values. Secondly, use the sensitivity analysis method to adjust the value range of each coefficient and observe its impact on the evaluation result of the thermal-mechanical performance of the cabin board to ensure the stability and rationality of the model. Based on the actual situation, correct and optimize the preliminarily fitted coefficients, and finally determine the applicable coefficient values.

[0026] Among them, the specific implementation example of calculating the thermal-mechanical performance evaluation index of the cabin board of the military shelter to be analyzed is as follows. The following data are available: The thermal performance evaluation index of the cabin board of the military shelter to be analyzed is approximately: 1.45.

[0027] The mechanical performance evaluation index of the cabin board of the military shelter to be analyzed is approximately: 1.24.

[0028] The thermal evaluation adjustment coefficient stored in the database is approximately: 0.62.

[0029] The force evaluation adjustment coefficient stored in the database is approximately: 0.53.

[0030] The interaction coefficient stored in the database is approximately: 0.37.

[0031] Substitute the above data into the specific formula for calculating the thermal-mechanical performance evaluation index of the cabin board of the military shelter to be analyzed, and we get: The thermal-mechanical performance evaluation index of the cabin board of the military shelter to be analyzed = ln(1 + ((1.45 0.62 ★1.24 0.53 ) / exp(-0.37 * 1.45 * 1.24))) ≈ 1.31.

[0032] Among them, the establishment process of the finite element model of the military shelter to be analyzed is as follows: Based on the structural discrete diagram of the designed military shelter, divide the work of the military shelter into three situations according to the load and strength and stiffness requirements of the shelter: the load-bearing situation of the bottom plate of the military shelter, the hoisting situation, and the situation of two rollers rolling on the shelter. When establishing the model of the military shelter, some ineffective parts can be appropriately ignored, and the key contents are left in the model. The power door and the switch door in the shelter can be combined into one, which is more convenient for later force calculation and analysis. There are eight beam structures and one plate structure in the sandwich composite board of the military shelter. These structures can be scientifically exchanged and all equivalent to 15-mm aluminum structures, and then the external structure of the shelter is reasonably divided.

[0033] Moreover, the finite element model of the military shelter to be analyzed includes the geometric information, physical properties, material characteristics, and boundary conditions and load conditions of the model. In the database, these finite element models will be saved as structured data, such as tables, graphs, or parametric data, which can be conveniently called and modified. For example, the finite element model of a specific cabin panel can include data such as the material information, shape, size, stress distribution, and heat transfer properties of the panel.

[0034] The thermal behavior simulation data includes temperature values, thermal stress values, phase change effect values, thermal fatigue values, thermal strain values, stress indices, displacement values, buckling critical load values, strain energy storage values, work hardening values, and crack initiation indices.

[0035] The thermal stress value is the internal stress caused by temperature changes, especially the internal forces generated when the material is heated or cooled due to external constraints or non-uniform temperature changes.

[0036] The thermal strain value is the degree of deformation of the material caused by temperature changes, specifically a ratio, that is, the dimensional change of the material due to heating or cooling.

[0037] The phase change effect value measures the impact of the material undergoing a phase change (such as from solid to liquid or liquid to gas) when the temperature changes.

[0038] The thermal fatigue value is an index that measures the fatigue resistance of the material under repeated temperature changes (such as heating and cooling cycles).

[0039] The stress index is the comprehensive value of each type of stress (such as shear stress, bending stress, normal stress, etc.) of the finite element of the cabin panel. That is, each type of stress is standardized, and weighted processing is performed based on the standardized processing results. The resulting value is this parameter.

[0040] The displacement value is the displacement amount of the finite element of the cabin panel under the action of an external load.

[0041] The buckling critical load value is the minimum load at which the finite element of the cabin panel buckles under compression.

[0042] The strain energy storage value is the elastic energy stored inside the material when the finite element of the cabin panel is subjected to an external load.

[0043] The work hardening value is the degree of hardening of the finite element of the cabin panel after plastic deformation.

[0044] The crack initiation index is the probability of the initial formation of cracks in the finite element of the cabin panel.

[0045] Moreover, all the parameters in the thermal behavior simulation data are obtained through simulation in the finite element model. For example, the simulation acquisition process of the phase change effect value is as follows: Define the phase change temperature range of the material in the simulation model. For example, for metal alloys, within a certain temperature range, the phase change from solid state to liquid state is likely to occur. In the simulation, the phase change temperature range of the material can be set, usually including the freezing point (from solid state to liquid state) and the melting point (from liquid state to solid state), as well as the thermal properties related to the phase change, such as the latent heat property; Then select the linear phase change model (the thermal properties of the material change gradually during the phase change process) as the phase change model; And set the latent heat and the phase change region. The calculation of the phase change effect value involves this key factor of latent heat, which refers to the heat absorbed or released by the substance during the phase change process. This process usually keeps the temperature of the material constant until the phase change is completed; Set the latent heat value of the material: The latent heat value can usually be obtained from the material database or estimated according to the physical properties of the material; Establish the phase change region: Within the temperature range of the material, the simulation model will define a phase change zone. When the temperature changes within this region, the material will undergo a phase change from solid state to liquid state or from liquid state to gaseous state; Thermal equilibrium calculation: Calculate the heat transfer of the material during the phase change process through the thermal equilibrium equation. The release or absorption of latent heat will affect the thermal field distribution of the material. In the simulation, these heat changes will be calculated and the constant temperature process will be tracked.

[0046] Through the above steps, the simulation results will provide a phase change effect value, that is, the change in thermal properties experienced by the material during the phase change process.

[0047] Specifically, the specific steps to obtain the finite elements of several cabin plates of the military shelter to be analyzed are as follows: Obtain the length values, width values, warping angle values, and Jacobian ratio values of several finite element meshes in the finite element model of the military shelter to be analyzed stored in the database, and perform standardization processing; Based on the length values, width values, warping angle values, and Jacobian ratio values of each finite element mesh in the finite element model of the military shelter to be analyzed stored in the database after standardization processing, conduct comprehensive analysis (i.e., weighted processing) to obtain the classification index of each finite element mesh in the finite element model of the military shelter to be analyzed, and conduct judgment analysis to obtain the finite elements of several cabin plates of the military shelter to be analyzed.

[0048] Among them, the specific process of judgment analysis is as follows: Judge and analyze the classification index of each finite element mesh in the finite element model of the military shelter to be analyzed respectively with the preset classification index threshold; If the classification index of each finite element mesh is lower than the preset classification index threshold, it is marked as the finite element of the cabin plate of the military shelter to be analyzed, otherwise it is not marked.

[0049] In this implementation scheme, the standardization process can eliminate the influence between different dimensions, enabling data of different scales, units, or different ratios to be compared on the same basis, thus ensuring the accuracy and consistency of the analysis results. Secondly, the weighting process enables each parameter (length, width, warping angle, Jacobian ratio) to be assigned different weights according to its influence on the overall analysis results during comprehensive analysis, highlighting more important factors, thereby ensuring that high-impact factors are fully emphasized during analysis and improving the accuracy and relevance of the analysis. Finally, through the calculation of the classification index, each finite element grid can be quantitatively evaluated to determine whether it meets the preset conditions, thereby efficiently identifying and marking the cabin plate finite elements that meet the analysis objectives and avoiding errors caused by manual intervention and subjective judgment.

[0050] Specifically, as Figure 2 shown, the specific steps to obtain the thermal performance evaluation index of the cabin plate of the military shelter to be analyzed are as follows: Obtain the material characteristic data of each cabin plate finite element of the military shelter to be analyzed under each working condition, where the material characteristic data includes elastic modulus value, tensile strength value, yield strength value, and Poisson's ratio, and conduct comprehensive analysis to obtain the cabin plate material correction index of the military shelter to be analyzed; Conduct comprehensive analysis (i.e., standard deviation processing) on the temperature values of each cabin plate finite element of the military shelter to be analyzed under each working condition to obtain the cabin plate temperature distribution index of the military shelter to be analyzed; Read the thermal stress values, phase change effect values, thermal fatigue values, and thermal strain values of each cabin plate finite element of the military shelter to be analyzed under each working condition, and conduct comprehensive analysis to obtain the cabin plate thermo-mechanical performance index of the military shelter to be analyzed; Conduct normalization processing on the cabin plate material correction index, cabin plate temperature distribution index, and cabin plate thermo-mechanical performance index of the military shelter to be analyzed; And conduct comprehensive analysis based on the normalized cabin plate material correction index, cabin plate temperature distribution index, and cabin plate thermo-mechanical performance index of the military shelter to be analyzed to obtain the thermal performance evaluation index of the cabin plate of the military shelter to be analyzed.

[0051] The specific formulas for calculating the cabin plate thermo-mechanical performance index and the thermal performance evaluation index of the military shelter to be analyzed are as follows: Among them, RxN is the cabin plate thermo-mechanical performance index of the military shelter to be analyzed, RyL ij is the thermal stress value of the i-th cabin plate finite element of the military shelter to be analyzed under the j-th working condition, φ1 is the thermal stress adjustment coefficient stored in the database, RxY ij is the phase change effect value of the i-th cabin plate finite element of the military shelter to be analyzed under the j-th working condition, φ2 is the phase change adjustment coefficient stored in the database, RpL ij is the thermal fatigue value of the i-th cabin plate finite element of the military shelter to be analyzed under the j-th working condition, φ3 is the thermal fatigue adjustment coefficient stored in the database, RyBij Let εij be the thermal strain value of the i-th panel of the military shelter to be analyzed under the j-th working condition, φ4 be the thermal strain adjustment coefficient stored in the database, φ5 be the thermal superposition coefficient stored in the database, RxP be the thermal performance evaluation index of the panel of the military shelter to be analyzed, CbX′ be the panel material correction index of the military shelter to be analyzed after normalization, η1 be the panel material coefficient stored in the database, CwB′ be the panel temperature distribution index of the military shelter to be analyzed after normalization, η2 be the temperature distribution coefficient stored in the database, PxN′ be the thermo-mechanical performance index of the panel of the military shelter to be analyzed after normalization, η3 be the thermo-mechanical coefficient stored in the database, ξ be the interaction adjustment coefficient stored in the database, η1 + η2 + η3 = 1, i = 1, 2, 3, …, i0, where i0 is the number of panel finite elements, j = 1, 2, 3, …, j0, where j0 is the number of panel finite elements, e is the natural constant, and in this embodiment, its value is 2.71.

[0052] It should be noted that φ1, φ2, φ3, φ4, and φ5 can be obtained through the following steps: Use historical data for statistical regression analysis to quantify the specific effects of various factors (such as thermal stress value, phase change effect value, thermal fatigue value, thermal strain value) on the thermo-mechanical performance index of the panel, so as to fit the initial weight values. Secondly, use the sensitivity analysis method to adjust the value range of each coefficient and observe its impact on the evaluation result of the thermo-mechanical performance of the panel to ensure the stability and rationality of the model. Based on the actual situation of the vehicle, correct and optimize the initially fitted coefficients, and finally determine the coefficient values applicable to specific vehicles.

[0053] η1, η2, and η3 can be obtained through the following steps: Read the panel material correction index, panel temperature distribution index, and thermo-mechanical performance index of the military shelter to be analyzed after normalization, and perform summation analysis to obtain the sum value of thermal performance evaluation. Then, perform ratio analysis on the panel material correction index, panel temperature distribution index, and thermo-mechanical performance index of the military shelter to be analyzed after normalization with the sum value of thermal performance evaluation respectively, and use the ratio results as the corresponding coefficients.

[0054] ξ can be obtained through the following steps: Use historical data, combined with indicators such as the panel material correction index, panel temperature distribution index, and thermo-mechanical performance index of the panel, for statistical regression analysis to quantify the specific effects of the superposition of various factors on the thermal performance evaluation index of the panel, so as to fit the initial weight values. Secondly, use the sensitivity analysis method to adjust the value range of this coefficient and observe its impact on the evaluation result of the thermal performance of the panel to ensure the stability and rationality of the model. Based on the characteristics of the vehicle, correct and optimize the initially fitted coefficient, and finally determine the coefficient value applicable to specific vehicles.

[0055] In this implementation plan, a comprehensive analysis of multiple material and operating condition parameters (such as elastic modulus, tensile strength, yield strength, temperature distribution, etc.) is carried out, which ensures a more comprehensive and accurate evaluation of the thermal performance of the cabin panel. Moreover, the normalization process enables indicators with different dimensions or units to be analyzed under the same standard, effectively eliminating the unit differences between different parameters, thus avoiding a certain parameter from overly dominating the final result, and then ensuring that the impacts of all parameters can be evaluated fairly and scientifically. Secondly, through regression analysis, sensitivity analysis, and coefficient correction based on historical data, the weight of each factor on the thermal performance of the cabin panel can be flexibly adjusted, so as to adjust the model according to different usage environments or specific situations, ensuring that it can adapt to different working conditions and has strong robustness. Finally, these comprehensive indicators provide data support for subsequent decision-making, such as material optimization of the cabin panel, heat load distribution, structural design optimization, etc., making the entire field hospital design and improvement process more data- and science-theory-based. And the finally obtained thermal performance evaluation index of the cabin panel can help researchers accurately predict the thermal performance of the field hospital under different working environments and anticipate in advance the impacts of factors such as high temperature, thermal stress, and thermal fatigue on the performance of the cabin panel.

[0056] Specifically, the specific steps to obtain the cabin panel material correction index of the military field hospital to be analyzed are as follows: Obtain the elastic modulus reference value, tensile strength reference value, yield strength reference value, and Poisson's ratio reference value of each finite element of the cabin panel of the military field hospital to be analyzed; and comprehensively analyze the elastic modulus reference value, tensile strength reference value, yield strength reference value, Poisson's ratio reference value of each finite element of the cabin panel of the military field hospital to be analyzed, as well as the elastic modulus value, tensile strength value, yield strength value, and Poisson's ratio value under each operating condition, to obtain the cabin panel material correction index of the military field hospital to be analyzed.

[0057] Among them, the elastic modulus reference value, tensile strength reference value, yield strength reference value, and Poisson's ratio reference value can all be obtained from the technical specifications of the materials stored in the database.

[0058] And the specific formula for calculating the cabin panel material correction index of the military field hospital to be analyzed is as follows: Among them, CbX is the cabin panel material correction index of the military field hospital to be analyzed, TxM ij is the elastic modulus value of the i-th finite element of the cabin panel of the military field hospital to be analyzed under the j-th operating condition, CxM i is the elastic modulus reference value of the i-th finite element of the cabin panel of the military field hospital to be analyzed, δ1 is the elastic adjustment coefficient stored in the database, KdQ ij is the tensile strength value of the i-th finite element of the cabin panel of the military field hospital to be analyzed under the j-th operating condition, CdQ iδ1 is the reference value of the tensile strength of the finite element of the i-th panel of the military shelter to be analyzed, δ2 is the tensile adjustment coefficient stored in the database, QzD ij δ2 is the yield strength value of the finite element of the i-th panel of the military shelter to be analyzed under the j-th working condition, CzD i δ3 is the reference value of the yield strength of the finite element of the i-th panel of the military shelter to be analyzed, δ3 is the yield adjustment coefficient stored in the database, BsZ ij ν is the Poisson's ratio of the finite element of the i-th panel of the military shelter to be analyzed under the j-th working condition, CsZ i ν0 is the reference value of the Poisson's ratio of the finite element of the i-th panel of the military shelter to be analyzed, δ4 is the Poisson's ratio adjustment coefficient stored in the database, δ5 is the superposition coefficient stored in the database, i = 1, 2, 3, …, i0, where i0 is the number of finite elements of the panel, j = 1, 2, 3, …, j0, where j0 is the number of finite elements of the panel.

[0059] It should be explained that δ1, δ2, δ3, δ4, and δ5 can be obtained through the following steps: Based on historical data, determine the initial influence weights of each variable (such as elastic modulus value, tensile strength value, yield strength value, Poisson's ratio value, etc.) on the panel material correction index through statistical regression analysis. Then, use the sensitivity analysis method to adjust the value range of the coefficients to evaluate the stability and applicability of these parameters to the formula output. Next, further fit the weights through model optimization (such as machine learning algorithms) to ensure that the formula can accurately reflect the correction state of the actual panel material.

[0060] The specific implementation example of calculating the panel material correction index of the military shelter to be analyzed is as follows. There are the following data, including the elastic modulus values, tensile strength values, yield strength values, and Poisson's ratio values of 3 finite elements of 3 panels of the military shelter to be analyzed under 3 working conditions. And the materials used for the 3 finite elements of the panel are steel, aluminum, and copper respectively. The 3 working conditions are the bottom plate bearing condition, the lifting condition, and the condition of two rollers rolling on the shelter. The specific data is as follows: The elastic adjustment coefficient δ1 stored in the database is approximately: 2.35; The tensile adjustment coefficient δ2 stored in the database is approximately: 2.59; The yield adjustment coefficient δ3 stored in the database is approximately: 2.43; The Poisson's ratio adjustment coefficient δ4 stored in the database is approximately: 2.37; The superposition coefficient δ5 stored in the database is approximately: 0.36; Substitute the above coefficients into the specific formula for calculating the panel material correction index of the military shelter to be analyzed respectively, and get: The panel material correction index of the military shelter to be analyzed ≈ 1.13.

[0061] In this implementation plan, by comprehensively analyzing multiple factors (such as material characteristics, thermal conductivity, thermal stress, phase change effect, etc.), the thermal performance of the cabin panel can be comprehensively evaluated. Through normalization, parameters of different scales or dimensions can be unified, enabling them to be compared under the same standard, avoiding interference between different units or dimensions, and thus improving the accuracy of the evaluation results. Secondly, through sensitivity analysis and regression analysis, the values of each coefficient can be adjusted to ensure that their influence on the evaluation results of thermal performance conforms to the actual situation, thereby avoiding excessive influence of unreasonable parameter values on the results. Finally, the obtained thermal performance evaluation index of the cabin panel can provide data support for designers, discover potential structural problems in advance, and help them optimize the design of the cabin panel. By adjusting material selection, process parameters, etc., the thermal performance of the cabin panel can be effectively improved, ensuring the stability and reliability of the mobile cabin under extreme temperatures or other working conditions, and also extending its service life, reducing maintenance costs and risks.

[0062] Specifically, as Figure 3 shown, the specific steps to obtain the mechanical performance evaluation index of the cabin panel of the military mobile cabin to be analyzed are as follows: comprehensively analyze the stress index of each cabin panel finite element of the military mobile cabin to be analyzed under each working condition (i.e., standard deviation processing) to obtain the stress distribution index of the military mobile cabin to be analyzed; and normalize the displacement value, buckling critical load value, strain energy storage value, strain hardening value, and crack initiation index of each cabin panel finite element of the military mobile cabin to be analyzed under each working condition; based on the buckling critical load value, strain energy storage value, and strain hardening value of each cabin panel finite element of the military mobile cabin to be analyzed under each working condition after normalization, conduct a comprehensive analysis to obtain the cabin panel bearing index of the military mobile cabin to be analyzed; and based on the displacement value and crack initiation index of each cabin panel finite element of the military mobile cabin to be analyzed under each working condition after normalization, conduct a comprehensive analysis to obtain the cabin panel reliability index of the military mobile cabin to be analyzed; comprehensively analyze the stress distribution index, cabin panel bearing index, and cabin panel reliability index of the military mobile cabin to be analyzed to obtain the mechanical performance evaluation index of the cabin panel of the military mobile cabin to be analyzed.

[0063] The specific formulas for calculating the cabin panel bearing index, cabin panel reliability index, and mechanical performance evaluation index of the military mobile cabin to be analyzed are as follows: Among them, CzS is the cabin panel bearing index of the military mobile cabin to be analyzed, QhL′ ij is the buckling critical load value of the i-th cabin panel finite element under the j-th working condition after normalization, XbY′ ij is the strain hardening value of the i-th cabin panel finite element under the j-th working condition after normalization, YbN′ ijThe strain energy storage value of the i-th normalized cabin panel finite element under the j-th working condition, λ1 is the cooperation coefficient stored in the database, λ2 is the attenuation control coefficient stored in the database, λ3 is the non-linear adjustment coefficient stored in the database, BkZ is the reliability index of the cabin panel of the military shelter to be analyzed, WyZ′ ij The displacement value of the i-th normalized cabin panel finite element under the j-th working condition, is the displacement coefficient stored in the database, LmZ′ ij The crack initiation index of the i-th normalized cabin panel finite element under the j-th working condition, is the initiation coefficient stored in the database, LxP is the mechanical property evaluation index of the cabin panel of the military shelter to be analyzed, YbF is the stress distribution index of the military shelter to be analyzed, θ1 is the stress distribution adjustment coefficient stored in the database, θ2 is the bearing adjustment coefficient stored in the database, θ3 is the reliability adjustment coefficient stored in the database, θ4 is the interaction control coefficient stored in the database, i = 1, 2, 3, …, i0, i0 is the number of cabin panel finite elements, j = 1, 2, 3, …, j0, j0 is the number of cabin panel finite elements, e is the natural constant, and its value is 2.71 in this implementation example.

[0064] It should be explained that λ1, λ2, and λ3 can be obtained through the following steps: Using historical data, evaluate the influence degree of each variable (such as buckling critical load value, strain energy storage value, strain hardening value, etc.) on the bearing index of the cabin panel through statistical modeling and regression analysis, so as to fit the initial weight value. Then, based on sensitivity analysis, adjust the value range of these coefficients to ensure that the formula has good adaptability to the bearing changes of the cabin panel under different working conditions. Next, use scenario simulation technology (such as the prediction model of bearing level under different working conditions) to further optimize the applicability of the coefficients and reasonably correct the weight coefficients for specific working conditions.

[0065] can be obtained through the following steps: Read the displacement value and crack initiation index of each cabin panel finite element of the military shelter to be analyzed after normalization under each working condition, perform mean processing to obtain the mean displacement value and mean crack initiation index of the military shelter to be analyzed after normalization, and perform summation analysis to obtain the reliable sum value. Then, perform ratio analysis on the mean displacement value and mean crack initiation index of the military shelter to be analyzed after normalization with the reliable sum value respectively, and use the ratio analysis results as the corresponding coefficients.

[0066] θ1, θ2, θ3, and θ3 can be obtained through the following steps: Using historical data, statistical regression methods are employed to quantify the initial influence degrees of various variables (stress distribution index, cabin plate bearing index, cabin plate reliability index) on the cabin plate mechanical property evaluation index, thereby obtaining the initial coefficient values. Then, based on sensitivity analysis techniques, the value ranges of these coefficients are adjusted under different environmental scenarios to ensure the applicability of the formula to diverse scenarios.

[0067] In this implementation plan, by analyzing multiple important indicators such as the stress distribution, bearing capacity, and reliability of the cabin plate, the mechanical performance of the cabin plate under different working conditions can be comprehensively understood. Thus, different stress states, deformation behaviors, and potential crack initiation of the cabin plate can be considered, further ensuring the comprehensiveness and accuracy of the evaluation. Through comprehensive analysis based on the normalized data, the mechanical property evaluation of each cabin plate finite element can be further refined, making the calculation results more accurate and avoiding errors that may be caused by rough estimation. Secondly, the use of sensitivity analysis and scenario simulation techniques can help reasonably adjust the weight coefficients, enabling the model to have better adaptability to the performance of the cabin plate under different environments or working conditions, and thus making it more accurate and reliable in practical applications. Finally, through the obtained cabin plate mechanical property evaluation index, designers can more clearly understand the mechanical characteristics of each cabin plate, and thus carry out corresponding design optimizations. For example, by optimizing parameters such as buckling critical load, strain energy storage, and work hardening, the bearing capacity and reliability of the cabin plate under different working conditions can be ensured, thereby improving the design efficiency and quality of the shelter.

[0068] Specifically, the specific steps for optimizing and analyzing the thermal performance evaluation index of the cabin panel of the military shelter to be analyzed and taking corresponding optimization measures based on the results of the optimization analysis are as follows: Compare and analyze the thermal performance evaluation index of the cabin panel of the military shelter to be analyzed with the preset thermal performance evaluation index threshold of the cabin panel; If the thermal performance evaluation index of the cabin panel of the military shelter to be analyzed is lower than the preset thermal performance evaluation index threshold of the cabin panel, then mark the thermal performance of the military shelter to be analyzed as an unqualified military shelter and take the first optimization measure (provide suggestions to relevant personnel to replace or strengthen the cabin panel material, use materials with higher thermal conductivity or higher heat resistance to improve the thermal performance of the cabin panel; add an insulating layer or coating, add a thermal insulation layer or use a special coating to reduce heat conduction and enhance the thermal protection ability of the cabin; adjust the cabin panel structure design, modify the thickness, shape or connection method of the cabin panel to improve its thermal stress tolerance); If the thermal performance evaluation index of the cabin panel of the military shelter to be analyzed is not lower than the preset thermal performance evaluation index threshold of the cabin panel, then mark the thermal performance of the military shelter to be analyzed as a qualified military shelter and take the second optimization measure (provide suggestions to relevant personnel to optimize the existing materials or structure, further improve the thermal performance by refining the design, material ratio or manufacturing process of the cabin panel to ensure excellent performance in different environments; strengthen the thermal management system, improve the thermal management design inside the cabin, such as adding radiators or enhancing the ventilation system to ensure that the cabin can maintain an ideal temperature in high-temperature environments; add a protective layer: add an efficient protective layer to the qualified cabin panel to enhance its heat resistance under extreme conditions).

[0069] In this implementation plan, by comparing the thermal performance evaluation index of the cabin panel of the military shelter to be analyzed with the preset threshold, it is possible to clearly determine whether the cabin panel meets the thermal performance requirements. If it is unqualified, it can be promptly discovered and optimization measures can be taken to avoid failures or malfunctions of the shelter during use due to thermal performance problems, thereby improving the safety and reliability of the military shelter. Secondly, the pertinence of the optimization measures can significantly improve the thermal performance of the cabin. For example, by replacing or strengthening the cabin panel material, adding an insulating layer, etc., the thermal conductivity and thermal protection of the cabin panel can be effectively improved. For the already qualified cabin panel, by optimizing the existing materials or strengthening the thermal management system and other measures, it can be ensured that it can maintain the best performance in different environments for a long time, thereby improving the stability of the military shelter and extending its service life. Finally, through clear judgment criteria (performance evaluation index threshold) and targeted optimization measures, a clear decision-making path is provided for relevant personnel, thereby helping them quickly judge and take appropriate optimization plans, avoiding delays caused by uncertainty or ambiguous criteria.

[0070] Although the preferred embodiments of the present invention have been described, additional changes and modifications can be made to these embodiments by those skilled in the art once they learn the basic creative concept. Therefore, the appended claims are intended to be interpreted to include the preferred embodiments as well as all changes and modifications that fall within the scope of the present invention.

[0071] Obviously, those skilled in the art can make various changes and modifications to the present invention without departing from the spirit and scope of the present invention. Thus, if these modifications and variations of the present invention fall within the scope of the claims of the present invention and their equivalent technologies, the present invention is also intended to include these modifications and variations.

Claims

1. A finite element-based method for analyzing and optimizing the thermodynamic performance of military shelters, characterized in that It includes the following steps: Perform mesh generation processing on the finite element model of the military shelter to be analyzed stored in the database to obtain several panel finite elements of the military shelter to be analyzed; Obtain the thermal behavior simulation data of each panel finite element of the military shelter to be analyzed under each working condition, conduct data analysis, and obtain the panel thermal performance evaluation index and panel mechanical performance evaluation index of the military shelter to be analyzed; Conduct comprehensive analysis on the panel thermal performance evaluation index and panel mechanical performance evaluation index of the military shelter to be analyzed to obtain the panel thermal-mechanical performance evaluation index of the military shelter to be analyzed; Conduct optimization analysis on the panel thermal-mechanical performance evaluation index of the military shelter to be analyzed, and take corresponding optimization measures based on the optimization analysis results.

2. The finite element-based thermodynamic performance analysis and optimization method for military shelters according to claim 1, wherein The thermal behavior simulation data includes temperature value, thermal stress value, phase change effect value, thermal fatigue value, thermal strain value, stress index, displacement value, buckling critical load value, strain energy storage value, strain hardening value, crack initiation index.

3. The finite element-based thermodynamic performance analysis and optimization method for military shelters according to claim 1, wherein The specific formula for calculating the panel thermal-mechanical performance evaluation index of the military shelter to be analyzed is as follows: ； Among them, is the thermal performance evaluation index of the cabin panel of the military shelter to be analyzed, , are the thermal performance evaluation index and the mechanical performance evaluation index of the cabin panel of the military shelter to be analyzed in sequence, , , are the thermal evaluation adjustment coefficient, the force evaluation adjustment coefficient, and the interaction coefficient stored in the database in sequence.

4. The finite element-based thermodynamic performance analysis and optimization method for military shelters according to claim 1, wherein The specific steps for obtaining several panel finite elements of the military shelter to be analyzed are as follows: Obtain the length value, width value, warping angle value, and Jacobian ratio value of several finite element meshes in the finite element model of the military shelter to be analyzed stored in the database, and conduct standardization processing; Based on the length value, width value, warping angle value, and Jacobian ratio value of each finite element mesh in the finite element model of the military shelter to be analyzed stored in the database after standardization processing, conduct comprehensive analysis to obtain the classification index of each finite element mesh in the finite element model of the military shelter to be analyzed, and conduct judgment analysis to obtain several panel finite elements of the military shelter to be analyzed.

5. The finite element-based thermodynamic performance analysis and optimization method for military shelters according to claim 2 is characterized in that: The specific steps for obtaining the panel thermal performance evaluation index of the military shelter to be analyzed are as follows: Obtain the material characteristic data of each panel finite element of the military shelter to be analyzed under each working condition, where the material characteristic data includes elastic modulus value, tensile strength value, yield strength value, and Poisson's ratio value, and conduct comprehensive analysis to obtain the panel material correction index of the military shelter to be analyzed; Conduct comprehensive analysis on the temperature value of each panel finite element of the military shelter to be analyzed under each working condition to obtain the panel temperature distribution index of the military shelter to be analyzed; Read the thermal stress value, phase change effect value, thermal fatigue value, and thermal strain value of each panel finite element of the military shelter to be analyzed under each working condition, and conduct comprehensive analysis to obtain the panel thermo-mechanical performance index of the military shelter to be analyzed; Conduct normalization processing on the panel material correction index, panel temperature distribution index, and panel thermo-mechanical performance index of the military shelter to be analyzed; Based on the panel material correction index, panel temperature distribution index, and panel thermo-mechanical performance index of the military shelter to be analyzed after normalization processing, conduct comprehensive analysis to obtain the panel thermal performance evaluation index of the military shelter to be analyzed.

6. The finite element-based thermodynamic performance analysis and optimization method for military shelters according to claim 5, characterized in that The specific steps for obtaining the panel material correction index of the military shelter to be analyzed are as follows: Obtain the elastic modulus reference value, tensile strength reference value, yield strength reference value, and Poisson's ratio reference value of each panel finite element of the military shelter to be analyzed; Comprehensively analyze the reference values of elastic modulus, tensile strength, yield strength, Poisson's ratio of each panel finite element of the military shelter to be analyzed, as well as the elastic modulus values, tensile strength values, yield strength values, and Poisson's ratio values under each working condition, to obtain the panel material correction index of the military shelter to be analyzed.

7. The finite element-based thermodynamic performance analysis and optimization method for military shelters according to claim 5 is characterized in that: The specific formulas for calculating the thermo-mechanical performance index and the thermal performance evaluation index of the panels of the military shelter to be analyzed are as follows: ； Wherein, is the thermal mechanical performance index of the cabin panel of the military shelter to be analyzed, , , , are, in sequence, the thermal stress value, phase change effect value, thermal fatigue value, and thermal strain value of the th finite element of the cabin panel of the military shelter to be analyzed under the th working condition, , , , , are, in sequence, the thermal stress adjustment coefficient, phase change adjustment coefficient, thermal fatigue adjustment coefficient, thermal strain adjustment coefficient, and thermal superposition coefficient stored in the database, is the thermal performance evaluation index of the cabin panel of the military shelter to be analyzed, , , are, in sequence, the corrected index of the cabin panel material, the temperature distribution index of the cabin panel, and the thermal mechanical performance index of the cabin panel of the military shelter to be analyzed after normalization processing, , , are, in sequence, the cabin panel material coefficient, temperature distribution coefficient, and thermal mechanical coefficient stored in the database, is the interaction adjustment coefficient stored in the database, , 1, 2, 3, …, , is the number of finite elements of the cabin panel, 1, 2, 3, …, , is the number of finite elements of the cabin panel, is the natural constant.

8. The finite element-based military shelter thermodynamic performance analysis and optimization method according to claim 2, wherein The specific steps for obtaining the mechanical performance evaluation index of the panels of the military shelter to be analyzed are as follows: Comprehensively analyze the stress index of each panel finite element of the military shelter to be analyzed under each working condition to obtain the stress distribution index of the military shelter to be analyzed; Normalize the displacement values, buckling critical load values, strain energy storage values, strain hardening values, and crack initiation indices of each panel finite element of the military shelter to be analyzed under each working condition; Based on the buckling critical load values, strain energy storage values, and strain hardening values of each panel finite element of the military shelter to be analyzed under each working condition after normalization, conduct a comprehensive analysis to obtain the panel bearing index of the military shelter to be analyzed; Based on the displacement values and crack initiation indices of each panel finite element of the military shelter to be analyzed under each working condition after normalization, conduct a comprehensive analysis to obtain the panel reliability index of the military shelter to be analyzed; Comprehensively analyze the stress distribution index, panel bearing index, and panel reliability index of the military shelter to be analyzed to obtain the mechanical performance evaluation index of the panels of the military shelter to be analyzed.

9. The finite element-based thermodynamic performance analysis and optimization method for military shelters according to claim 1, wherein The specific formulas for calculating the panel bearing index, panel reliability index, and mechanical performance evaluation index of the panels of the military shelter to be analyzed are as follows: ； Among them, is the panel load-bearing index of the military shelter to be analyzed, , , are, in sequence, the buckling critical load value, strain hardening value, and strain energy storage value of the th panel finite element after normalization under the th working condition, , , are, in sequence, the cooperation coefficient, attenuation control coefficient, and nonlinear adjustment coefficient stored in the database, is the panel reliability index of the military shelter to be analyzed, , are, in sequence, the displacement value and crack initiation index of the th panel finite element after normalization under the th working condition, , are, in sequence, the displacement coefficient and initiation coefficient stored in the database, , is the panel mechanical property evaluation index of the military shelter to be analyzed, is the stress distribution index of the military shelter to be analyzed, , , , are, in sequence, the stress distribution adjustment coefficient, load-bearing adjustment coefficient, reliability adjustment coefficient, and interaction control coefficient stored in the database, 1, 2, 3, …, , is the number of panel finite elements, 1, 2, 3, …, , is the number of panel finite elements, is the natural constant.

10. The finite element-based thermodynamic performance analysis and optimization method for military shelters according to claim 1, characterized in that, The specific steps for optimizing the thermal performance evaluation index of the panels of the military shelter to be analyzed and taking corresponding optimization measures based on the optimization analysis results are as follows: Compare and analyze the thermal performance evaluation index of the panels of the military shelter to be analyzed with the preset threshold of the thermal performance evaluation index of the panels; If the thermal performance evaluation index of the panels of the military shelter to be analyzed is lower than the preset threshold of the thermal performance evaluation index of the panels, mark it as a substandard military shelter and take the first optimization measure; If the thermal performance evaluation index of the panels of the military shelter to be analyzed is not lower than the preset threshold of the thermal performance evaluation index of the panels, mark it as a qualified military shelter and take the second optimization measure.

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