Cosine wave-shaped liquid tank truck fender structure and design optimization method thereof

Abstract

The application discloses a cosine wave-shaped liquid tank truck fender structure and a design optimization method thereof. The plate body is matched with the cross-sectional shape of the tank truck, and comprises: a cosine wave-shaped structure arranged through the plate surface from top to bottom; a gas passage arranged on the upper end of the plate body; a liquid passage arranged on the bottom of the plate body; and a manhole arranged through the plate body near the middle of the plate body and horizontally offset from the gas passage and the liquid passage. The longitudinal and transverse shaking of the liquid in the tank can be effectively inhibited, the impact of the liquid in the tank on the tank body is reduced, the liquid flows along the liquid hole, the impact force on the fender is dispersed, and the safety of the liquid tank truck driving is further enhanced. On the basis of improving the performance of the fender, the design method is simple and efficient, simulation is accurate, and can be applied to most vehicles in a short time.

Description

Technical Field

[0001] This invention relates to the field of liquid tanker design and manufacturing technology, and provides a design and optimization method for the internal baffle structure of the liquid tanker body. Background Technology

[0002] The number of tank trucks transporting hazardous liquids under atmospheric pressure is increasing year by year. Once a road transport accident involving hazardous materials occurs, it can cause enormous economic and environmental losses and have a severe impact on human health and society. When a tank truck accelerates, decelerates, brakes suddenly, or turns, the liquid inside the tank surges due to inertia, impacting the tank body. If not properly prevented, this can lead to accidents. Using baffles can effectively reduce the sloshing of liquid inside the tank and decrease the impact force.

[0003] Most existing tank truck baffles are butterfly-shaped, which are not very effective in preventing liquid impact and swaying. Their main function is to suppress longitudinal impact loads in the direction of the tank truck's travel.

[0004] Furthermore, most engineers currently design and manufacture baffles based on their own experience. In addition to being unable to prevent the impact of lateral swaying of vehicles, they are only applicable to specific types of tank trucks. They also lack sufficient understanding of the impact force distribution of liquids inside the tank, making them unsuitable for lightweight applications and unable to form a feasible standardized design method. Summary of the Invention

[0005] To address the aforementioned technical problems, this invention provides a cosine wave-shaped baffle structure for liquid tank trucks. This structure is simple, easy to manufacture and install, and can effectively suppress longitudinal and lateral sloshing of liquid, reduce the impact on the tank body, and ensure driving safety.

[0006] Meanwhile, this invention provides a design optimization method for a cosine wave-shaped baffle plate for a liquid tanker truck, which can efficiently optimize the design and adapt to the requirements of lightweight use, and can better suppress various impact loads on the tanker truck.

[0007] The technical solution adopted in this invention is:

[0008] A cosine wave-shaped baffle structure for a liquid tanker truck, wherein the baffle body matches the cross-sectional shape of the tanker truck, characterized by comprising:

[0009] The cosine wave pattern is set from top to bottom on both sides of the plate.

[0010] Ventilation holes are located at the top of the plate.

[0011] Liquid passage holes are located at the bottom of the plate.

[0012] The manhole is installed through the middle of the plate and is laterally offset from the vent and liquid passage.

[0013] In the above technical solution, the number of cosine curve periods of the cosine wave pattern structure is an integer.

[0014] In the above technical solution, the number of wave peaks of the cosine wave pattern on both plates is the same.

[0015] In the above technical solution, the plate is elliptical and the manhole is circular. The center of the manhole is located on the major axis of the ellipse and is offset laterally by a set distance relative to the minor axis of the ellipse.

[0016] In the above technical solution, the liquid passage hole is a doorway structure that opens from the bottom edge of the plate.

[0017] In the above technical solution, the manhole diameter is significantly larger than the liquid passage diameter, and the liquid passage diameter is larger than the vent diameter.

[0018] In the above technical solution, the manhole and fluid passage are circumferentially fixed with a reinforcing support structure. A reinforcing fixing ring is preferred.

[0019] A design optimization method for a cosine-wave-shaped baffle for a liquid tanker truck is characterized by the following steps: optimization modeling is performed using orthogonal experiments, parametric modeling, multinomial regression modeling, correlation coefficient analysis, and root mean square error testing. An improved non-dominated sorting genetic algorithm (NSGA-II) with an elitist strategy is used for solving the problem, thereby optimizing the design of the corrugated baffle. The standard boundary crossover method is employed to optimize the Pareto solution set, ultimately obtaining the optimal cosine-wave-shaped baffle's corrugation amplitude A, corrugation period B, manhole diameter C, and lateral offset distance D of the manhole.

[0020] The above technical solution includes the following steps:

[0021] Step 1) Using orthogonal experimental design, design sample points are uniformly selected for each preset design variable within its preset threshold range. The preset design variables are: the wave amplitude A of the cosine wave pattern structure, the wave period B, the manhole diameter C, and the set distance D of the lateral offset of the manhole of the baffle plate. According to the design conditions, their preset threshold ranges are: A∈[15,50], B∈[300,1200], C∈[500,700], D∈[0,700], all in mm.

[0022] For example, the optimal Latin hypercube experimental design method is preferred, in which N sets of design sample points are uniformly selected within the preset threshold range for each preset design variable, where N is a natural number greater than 0; in particular, they are uniformly selected in the form of an arithmetic sequence.

[0023] Step 2), based on the selected design sample points, create a 3D CAD model of the cosine wave-shaped baffle plate for the liquid tanker in SolidWorks software;

[0024] Step 3) Import the entire 3D model into HyperMesh software, perform geometric processing and mesh generation, and generate the FEA finite element model;

[0025] Step 4) Import all FEA finite element models into Fluent software for solving. Based on the output results, calculate the stress on the tank truck head corresponding to all FEA models. y 1. Stress on the wave deflector y 2 and the quality of the baffle plate y 3;

[0026] Step 5) Input the wave amplitude A, wave period B, baffle manhole diameter C, and baffle manhole lateral offset distance D of the cosine wave pattern structure of all 3D CAD models as independent variables, and the corresponding tank head force of the FEA model. y 1. Stress on the wave deflector y 2 and the quality of the baffle plate y 3. As the dependent variable output, second-order polynomial regression models are constructed based on three evaluation indicators of the wave-shaped breakwater, namely the stress on the tank truck head. y 1. Stress on the wave deflector y 2 and the quality of the baffle plate y 3.

[0027] The general form of the second-order polynomial regression model for the three evaluation indicators of the cosine wave-shaped breakwater is as follows:

[0028]

[0029] in, n The number of design variables should be a natural number; b 0 is a constant term; b i ( i =1,2,3,4) are the regression coefficients for the linear term; b ij ( i , j =1,2,3,4; i < j () represents the partial regression coefficient of the interaction term; b ii The coefficients are the partial regression coefficients for the quadratic term.

[0030] Step 6): Calculate the correlation coefficients of the second-order polynomial regression models for the three evaluation indicators of the cosine wave-shaped breakwater. R 2and root mean square error ε RMSE If the correlation coefficient of the second-order polynomial regression model of the three evaluation indicators is... R 2 All are greater than or equal to 0.93, root mean square ε RMSE If all are less than 0.07, proceed to step 7; otherwise, repeat steps 1 through 5 until the correlation coefficients of the second-order multi-objective regression model for the three evaluation indicators are found. and root mean square error ε RMSE All of the above requirements are met.

[0031] The correlation coefficients of the second-order polynomial regression model fitting of the three evaluation indicators R 2 and root mean square error ε RMSE The calculation formulas are as follows:

[0032]

[0033]

[0034] in, y i It is the first i The regression model calculates the value for each sample point. y i ’ It is the first i Finite element analysis results for each sample point.

[0035] Step 7) In Matlab software, with the above three evaluation indicators as optimization objectives, and the cosine wave-shaped baffle amplitude A, wave period B, baffle manhole diameter C, and baffle manhole lateral offset distance D as design variables, a mathematical model based on the optimization of the cosine wave-shaped liquid tanker baffle is established.

[0036] The mathematical model for optimizing the wave deflector is as follows:

[0037] .

[0038] In the above technical solution, the second-order polynomial regression model for the three evaluation indicators of the wave-shaped breakwater is as follows:

[0039] 1) Stress on the tank truck end cap y The regression model for 1 is:

[0040]

[0041] 2) Stress on the wave deflector y The regression model for 2 is:

[0042]

[0043] 3) Quality of the wave deflector y The regression model for 3 is:

[0044] .

[0045] Furthermore, the above methods also include:

[0046] Step 8) Based on the established optimization mathematical model, the non-dominated sorting genetic algorithm NSGA-II with elite strategy is used to solve the problem, and the cosine wave-shaped breakwater ripple amplitude A, ripple period B, breakwater manhole diameter C, and breakwater manhole lateral offset distance D are optimized to obtain the Pareto solution set.

[0047] Step 9) Use the standard boundary cross method to optimize the Pareto solution set obtained by optimization and find the optimal solution.

[0048] Compared with the prior art, the beneficial effects of this invention are:

[0049] This invention discloses a cosine wave-shaped baffle for tank trucks. This baffle is a novel device with a simple structure, easy to manufacture and install, and effectively suppresses the longitudinal and lateral sloshing of liquid. When a tank truck accelerates, decelerates, brakes suddenly, or turns, the liquid inside the tank surges due to inertia, impacting the tank body. The wave-shaped baffle effectively suppresses the longitudinal and lateral sloshing of the liquid inside the tank, reducing the impact of the liquid on the tank body. Simultaneously, it allows the liquid to flow along the liquid holes, dispersing the impact force on the baffle and further enhancing the safety of the tank truck.

[0050] This invention discloses an optimized design method for a cosine wave-shaped baffle. Optimization modeling is achieved through orthogonal experiments, parametric modeling, multinomial regression, correlation coefficient analysis, and root mean square error testing. An improved non-dominated sorting genetic algorithm (NSGA-II) with an elitist strategy is used for solution, thus optimizing the design of the wave-shaped baffle. The standard boundary crossover method is employed to optimize the Pareto solution set, ultimately obtaining the optimal cosine wave-shaped baffle's wave amplitude A, wave period B, manhole diameter C, and lateral offset distance D. This significantly improves the baffle's performance and ensures the safety of tanker trucks. Based on improved baffle performance, the design method is simple, efficient, and provides accurate simulations, making it applicable to most vehicles in a short time. Attached Figure Description

[0051] The present invention will be further described below with reference to the accompanying drawings and embodiments. In the accompanying drawings:

[0052] Figure 1 This is a schematic diagram of the structure of a cosine wave-shaped wave shield.

[0053] Figure 2 This is a schematic diagram of the structural parameters of a cosine wave-shaped wave shield.

[0054] Figure 3 for Figure 2 A_A sectional view.

[0055] Figure 4 A flowchart illustrating an optimization method for a cosine wave-shaped baffle plate on a liquid tanker truck, provided for the implementation of this invention.

[0056] Figure 5 The flowchart of the improved NSGA-II multi-objective optimization algorithm provided for embodiments of the present invention is shown.

[0057] In the attached diagram: 1-cosine wave-shaped baffle plate; 2-baffle plate manhole; 3-vent hole at the top of the baffle plate; 4-liquid passage hole at the bottom; 5-liquid passage hole reinforcing ring; 6-manhole reinforcing ring; 7-baffle plate reinforcing ring. Detailed Implementation

[0058] To make the objectives, technical solutions, and advantages of this invention clearer, the invention will be further described in detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative and not intended to limit the invention.

[0059] This invention is not limited to the examples described herein, but can be applied to various types of tank trucks. These examples are provided so that the invention will be thoroughly and completely disclosed and will fully express the scope of the invention to those skilled in the art.

[0060] Example 1:

[0061] According to the present invention, a wave-shaped baffle device for liquid tank trucks based on a cosine function is disclosed. Figure 1-3 As shown.

[0062] It includes an elliptical baffle plate 1 that matches the cross-sectional shape of the tank, a manhole 2 on the baffle plate, a vent 3 at the top of the baffle plate, and a liquid passage 4 at the bottom. Figure 1 The short axis of the baffle plate is vertical. The front and rear sides of the baffle plate (perpendicular to...) Figure 1The direction of the plate plane) The plate surface is composed of cosine waves running from top to bottom; the number of cycles of the cosine waves of the baffle plate is an integer to ensure that the number of wave peaks on the front and rear sides is consistent; the manhole of the baffle plate is circular, and its center is located on the major axis of the baffle plate ellipse; a reinforcing ring 6 is welded at the manhole 2; a reinforcing ring 7 matching the shape of the tank is welded to the outer edge of the baffle plate 1; the liquid passage hole 4 at the bottom is a doorway structure, that is, a notch structure formed by extending from the edge of the plate to the center of the plate surface and / or the major and minor axes at the bottom, and a reinforcing ring 5 is welded inside the doorway structure.

[0063] The general expression for the cosine ripple of a wave deflector is:

[0064] .

[0065] The parameters are: the period B of the cosine ripple of the wave deflector, the amplitude A of the cosine ripple, and the time variable. t。

[0066] The optimal cosine wave-shaped breakwater's ripple amplitude A, ripple period B, breakwater manhole diameter C, and lateral offset distance D of the manhole need to be obtained through optimization design. The preset threshold ranges for the cosine wave-shaped breakwater's ripple amplitude A, ripple period B, breakwater manhole diameter C, and lateral offset distance D of the manhole are, according to the design conditions, A∈[15,50], B∈[300,1200], C∈[500,700], and D∈[0,700], respectively, all in mm.

[0067] As a preferred embodiment, the parameters of the wave deflector cosine ripple are as follows: amplitude A = 28 mm, period B = 750 mm, manhole diameter C = 500 mm, and lateral offset distance D = 380 mm.

[0068] As a preferred implementation method, such as Figure 2 and 3 As shown, the front view of the baffle plate is elliptical in shape, with a major axis of 2480mm and a minor axis of 1680mm. The thickness of the baffle plate is 6mm, which matches the tank body.

[0069] Example 2:

[0070] This invention also discloses an optimized design method for a cosine wave-shaped baffle plate for a liquid tanker truck (e.g., Figure 4 (As shown).

[0071] The specific optimization methods are as follows:

[0072] Step 1) Using orthogonal experimental design, each preset design variable is uniformly selected within its preset threshold range.

[0073] The preset design and variables are as follows: the ripple amplitude A, ripple period B, manhole diameter C, and lateral offset distance D of the manhole of the wave deflector. According to the design conditions, their preset threshold ranges are as follows: A∈[15,50], B∈[300,1200], C∈[500,700], and D∈[0,700], all in mm.

[0074] Step 2) Based on the selected design sample points, create a 3D CAD model of the cosine wave-shaped baffle plate for the liquid tanker in SolidWorks software.

[0075] Step 3) Import the entire 3D model into HyperMesh software, perform geometric processing and mesh generation, and generate the FEA finite element model.

[0076] Step 4) Import all FEA finite element models into Fluent software for solving. Based on the output results, calculate the stress on the tank truck head corresponding to all FEA models. y 1. Stress on the wave deflector y 2 and the quality of the baffle plate y 3.

[0077] Step 5) Input the cosine wave-shaped baffle ripple amplitude A, ripple period B, baffle manhole diameter C, and baffle manhole lateral offset distance D of the entire 3D CAD model as independent variables, and the corresponding tank head force of the FEA model. y 1. Stress on the wave deflector y 2 and the quality of the baffle plate y 3 is used as the dependent variable output to construct second-order polynomial regression models for wave-shaped breakwaters:

[0078]

[0079] in, n The number of design variables; b 0 is a constant term; b i ( i =1,2,3,4) are the regression coefficients for the linear term; b ij ( i , j =1,2,3,4; i < j () represents the partial regression coefficient of the interaction term; b ii These are the partial regression coefficients for the quadratic term;

[0080] Step 6) Calculate the correlation coefficients of the second-order polynomial regression model fitting for the cosine wave-shaped breakwater. R2 and root mean square error ε RMSE If the tank truck end cap is subjected to force y 1. Stress on the wave deflector y 2 and the quality of the baffle plate y The correlation coefficients of the second-order polynomial regression model of the three evaluation indicators R 2 All are greater than or equal to 0.93, root mean square ε RMSE If all are less than 0.07, proceed to step 7; otherwise, repeat steps 1 through 5 until the correlation coefficients of the second-order multi-objective regression model for the three evaluation indicators are found. and root mean square error ε RMSE All of the above requirements are met;

[0081] The correlation coefficients of the second-order polynomial regression model fitting of the three evaluation indicators R 2 and root mean square error ε RMSE The calculation formulas are as follows:

[0082]

[0083]

[0084] in, y i It is the first i The regression model calculates the value for each sample point. y i ’ It is the first i Finite element analysis results for each sample point;

[0085] Step 7), in Matlab software, using the above three evaluation indicators as optimization objectives, and the cosine wave-shaped baffle ripple amplitude A, ripple period B, baffle manhole diameter C, and baffle manhole lateral offset distance D as design variables, a mathematical model based on the optimization of the cosine wave-shaped liquid tanker baffle is established as follows:

[0086] ;

[0087] In the above technical solution, the second-order polynomial regression model for the three evaluation indicators of the wave-shaped breakwater is as follows:

[0088] 1) Stress on the tank truck end cap y The regression model for 1 is:

[0089]

[0090] 2) Stress on the wave deflectory The regression model for 2 is:

[0091]

[0092] 3) Quality of the wave deflector y The regression model for 3 is:

[0093] .

[0094] Step 8) Based on the established optimization mathematical model, the non-dominated sorting genetic algorithm NSGA-II with elite strategy is used to solve the problem, and the cosine wave-shaped breakwater ripple amplitude A, ripple period B, breakwater manhole diameter C, and breakwater manhole lateral offset distance D are optimized to obtain the Pareto solution set.

[0095] Step 9) Use the standard boundary cross method to optimize the Pareto solution set obtained by optimization and find the optimal solution.

[0096] This invention proposes an improved non-dominated sorting genetic algorithm with an elite strategy (NSGA-II), the specific steps of which are as follows (see...). Figure 5 (as shown)

[0097] Step 1: Change the initialization method and initialize the population size based on the reverse learning initialization strategy of Circle chaotic mapping, that is, randomly generate the parent population within the domain.

[0098] Step 2: Calculate the fitness function value of each particle and perform crowding calculation. Store the parent population in the result storage template.

[0099] Step 3: Sort the suitability of each individual in the parent population in descending order, then sort the individuals by non-dominance. Individuals at the same suitability level are sorted by crowding distance, where the crowding distance is: ,and , ;

[0100] Step 4: Select individuals from the parent population for crossover and mutation to generate a first-generation offspring population;

[0101] The roulette wheel selection method is used to select operators, and the relative fitness value of each individual is calculated. P ( x i ):

[0102]

[0103] Calculate the cumulative probability for each individual. C ( x j ):

[0104]

[0105] The roulette wheel selects individuals, and the probability of being selected is directly proportional to the individual's fitness value.

[0106] Introducing the NDX crossover operator into the crossover process expands the algorithm's search range and avoids getting trapped in local optima while ensuring the quality of the non-dominated solution set. The crossover process calculation formula is as follows:

[0107]

[0108] in, a i , b i For the first generation of two parent individuals i One variable; c i For the first generation of individuals i One variable; | N (0,1)| represents a normally distributed random variable; z A random number in the interval (0,1);

[0109] Step 5: Merge the parent population and the offspring population to form a new population, and perform non-dominated sorting and crowding distance sorting on the new population.

[0110] Step 6: Retain the non-inferior population, eliminate individuals that are not in a dominant position or whose crowding distance does not meet the requirements, and select suitable individuals to form a new parent population.

[0111] Step 7: Check if the maximum number of iterations has been reached. If it has, terminate the program. If not, continue iterating from step 2.

[0112] The calculation formula for the standard boundary intersection method is as follows:

[0113]

[0114]

[0115] In the formula, N i For the first i Standardized results of Pareto solutions for an optimization objective; b u , b 1 represents the upper and lower boundaries of the standardized boundary; O i For the first i Pareto solution for each objective; O i_max It is the first i The maximum value in the Pareto solution set of each objective;m The number of objective functions; in multidimensional space, the commonly used search radius. R P You can choose R 1. R 2. R +∞ .

[0116] The above describes the specific implementation of the present invention. Any changes made to the technical solution of the present invention that do not exceed the scope of the technical solution of the present invention shall fall within the protection scope of the present invention.

[0117] It should be understood that those skilled in the art can make improvements or modifications based on the above description, and all such improvements and modifications should fall within the protection scope of the appended claims.

Claims

1. A cosine wave-shaped baffle structure for a liquid tanker truck, wherein the baffle body matches the cross-sectional shape of the tanker truck, characterized in that... include: The cosine wave pattern is set from top to bottom on both sides of the plate. Ventilation holes are located at the top of the plate. Liquid passage holes are located at the bottom of the plate. Manholes are installed through the plate near the middle of the plate and are laterally offset from the ventilation holes and liquid passage holes. The cosine wave-shaped baffle structure of the liquid tanker was optimized using orthogonal experiments, parametric modeling, multinomial regression modeling, correlation coefficient, and root mean square error test. An improved non-dominated sorting genetic algorithm (NSGA-II) with an elitist strategy was used to solve the model. The standard boundary crossover method was employed to optimize the Pareto solution set, ultimately obtaining the optimal cosine wave-shaped baffle ripple amplitude A, ripple period B, baffle manhole diameter C, and baffle manhole lateral offset distance D. Specifically, this included: Step 1) Using the orthogonal experimental design method, design sample points are uniformly selected within the preset threshold range for each preset cosine wave pattern structure design variable. The preset cosine wave pattern structure design variables are: wave amplitude A, wave period B, manhole diameter C, and set distance D for the lateral offset of the manhole of the wave deflector. Step 2), based on the selected design sample points, create a 3D CAD model of the cosine wave-shaped baffle plate for the liquid tanker in SolidWorks software; Step 3) Import the entire 3D model into HyperMesh software, perform geometric processing and mesh generation, and generate the FEA finite element model; Step 4) Import all FEA finite element models into Fluent software for solving. Based on the output results, calculate the stress on the tank truck head corresponding to all FEA models. y 1. Stress on the wave deflector y 2 and the quality of the baffle plate y 3; Step 5) Input the cosine wave pattern structure design variables of all 3D CAD models as independent variables, and the three evaluation indicators corresponding to the FEA model are the stress on the tank truck head. y 1. Stress on the wave deflector y 2 and the quality of the baffle plate y 3 is used as the dependent variable output to construct second-order polynomial regression models for the three evaluation indicators of the wave-shaped breakwater. The second-order polynomial regression model is as follows: in, n The number of design variables; b 0 is a constant term; b i ( i =1,2,3,4) are the regression coefficients for the linear term; b ij ( i , j =1,2,3,4; i < j () represents the partial regression coefficient of the interaction term; b ii These are the partial regression coefficients for the quadratic term; Step 6) Calculate the correlation coefficients of the second-order polynomial regression models respectively. R 2 and root mean square error ε RMSE If the correlation coefficient R 2 All are greater than or equal to 0.93, root mean square ε RMSE If all correlation coefficients are less than 0.07, proceed to step 7; otherwise, repeat steps 1 through 5 until the correlation coefficient is reached. and root mean square error ε RMSE All of the above requirements are met; Step 7) In Matlab software, using the above three evaluation indicators as optimization objectives and based on the four cosine wave pattern structure design variables, establish an optimization mathematical model based on the cosine wave tank truck baffle. Step 8) Based on the established optimization mathematical model, the non-dominated sorting genetic algorithm NSGA-II with elitist strategy is used to solve the problem and optimize the four cosine wave pattern structure design variables to obtain the Pareto solution set. Step 9) Use the standard boundary cross method to optimize the Pareto solution set obtained by optimization and find the optimal solution.

2. The cosine wave-shaped baffle structure for liquid tank trucks according to claim 1, characterized in that... The number of periods of the cosine curve in the cosine wave pattern structure is an integer.

3. The cosine wave-shaped baffle structure for liquid tank trucks according to claim 1, characterized in that... The number of wave peaks in the cosine wave pattern described on both plates is the same.

4. The cosine wave-shaped baffle structure for liquid tank trucks according to claim 1, characterized in that... The plate is elliptical, and the manhole is circular. The center of the manhole is located on the major axis of the ellipse and is offset laterally by a set distance relative to the minor axis of the ellipse.

5. The cosine wave-shaped baffle structure for liquid tank trucks according to claim 1, characterized in that... The liquid passage is a doorway structure that opens from the bottom edge of the plate.

6. The cosine wave-shaped baffle structure for liquid tank trucks according to claim 1, characterized in that... The manhole diameter is significantly larger than the liquid passage diameter, and the liquid passage diameter is larger than the vent diameter.

7. The cosine wave-shaped baffle structure for liquid tank trucks according to claim 1, characterized in that... The manhole and fluid passage are circumferentially fixed and reinforced with a support structure.

8. A design optimization method for the cosine wave-shaped baffle structure of a liquid tanker truck as described in any one of claims 1-7, characterized in that... The second-order polynomial regression model for the three evaluation indicators of the wave-shaped breakwater is as follows: 1) Stress on the tank truck end cap y The regression model for 1 is: ； 2) Stress on the wave deflector y The regression model for 2 is: 3) Quality of the wave deflector y The regression model for 3 is: 。

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