Detection method, system and evaluation method for simulating and representing tire performance of lunar rover

Abstract

The invention relates to the technical field of tire detection, in particular to a detection method, a system and an evaluation method for simulating and representing the tire performance of a lunar rover. The extreme environment of the lunar surface can be simulated, and the performance of the tire in the lunar environment can be comprehensively evaluated through a plurality of key testing steps including extreme temperature circulation, radiation resistance testing, vacuum environment testing, wear resistance testing and self-repairing capacity testing. The method not only can detect the high and low temperature resistance, radiation resistance, vacuum adaptability, wear resistance and self-repairing capability of the tire, but also can provide reliable data support for design and optimization of the lunar rover tire through technologies such as multi-objective optimization, fuzzy logic reasoning and machine learning in combination with an advanced evaluation method.

Description

Technical Field

[0001] The present invention relates to the technical field of tire detection, and particularly to a detection method, a system, and an evaluation method for simulating and characterizing the performance of lunar rover tires. Background Art

[0002] The National Aeronautics and Space Administration (NASA) of the United States has developed ground vehicles to support long-distance lunar exploration and the development of lunar bases. These vehicles are heavier and travel greater distances than the Lunar Roving Vehicle (LRV) developed during the Apollo program in the late 1960s. Therefore, compared with the tires used on the Apollo LRV, new types of tires are required to support up to ten times the weight and endure up to one hundred times the travel distance, thus requiring operating characteristics similar to those of sedans used on Earth. However, traditional rubber-inflated tires do not work satisfactorily in space. The characteristics of rubber change significantly between the low temperature (down to -100 °C) in the shadow and the high temperature (up to 140 °C) in the sunlight, and rubber exposed to direct solar radiation without atmospheric protection will degrade.

[0003] A Chinese invention patent (Publication No.: CN117511227A, Publication Date: February 6, 2024) discloses a tire silicone rubber composition resistant to climate, high and low temperatures. The raw materials of the silicone rubber composition include the following components based on 100 parts by weight of rubber: 25 - 65 parts by weight of silicone rubber, 35 - 75 parts by weight of modified low-cis polybutadiene rubber, 30 - 50 parts by weight of carbon black, 2 - 6 parts by weight of activator, 2 - 4 parts by weight of antioxidant, and also include appropriate amounts of accelerator and vulcanizing agent; the silicone rubber is methyl vinyl silicone rubber 110 - 5. The silicone rubber composition of this invention has certain weather resistance and high and low temperature resistance, and can be used to prepare lunar rover tires to ensure that the tire tread does not undergo large deformation under low temperature (down to -100 °C) and high temperature (up to 140 °C) conditions.

[0004] With the continuous increase of lunar exploration missions, the reliability and safety of lunar rovers in extreme environments have become key issues. The drastic temperature change (-100 °C to 140 °C), vacuum environment, high-intensity solar radiation, and complex terrain conditions on the lunar surface pose extremely high requirements for the performance of tires. Existing tire detection methods are mainly designed for the Earth environment and are difficult to comprehensively evaluate the performance of lunar rover tires under special conditions.

[0005] Therefore, it is of great significance to develop a detection method specifically for characterizing the performance of lunar rover tires. Summary of the Invention

[0006] To solve the above technical problems, the present invention proposes a new detection method for characterizing the performance of lunar rover tires, which can simulate the extreme environment of the lunar surface. Through multiple key test steps, including extreme temperature cycling, radiation resistance testing, vacuum environment testing, wear resistance testing, and self-repair ability testing, it comprehensively evaluates the performance of tires in the lunar environment. This method can not only detect the high and low temperature resistance, radiation resistance, vacuum adaptability, wear resistance, and self-repair ability of tires, but further, it can also combine advanced evaluation methods, through technologies such as multi-objective optimization, fuzzy logic reasoning, and machine learning, to provide reliable data support for the design and optimization of lunar rover tires.

[0007] To achieve the above objectives, the present invention adopts the following technical solutions:

[0008] A detection method for simulating and characterizing the performance of lunar rover tires, the method comprising the following steps:

[0009] 1) Extreme temperature cycling test: Place the sample in a temperature cycling test chamber to simulate the temperature changes on the lunar surface, with a temperature range of -100°C to 140°C, and the holding time for each temperature segment is not less than 2 hours, and the number of cycles is not less than 10 times; Test the appearance, dimensional changes, and physical properties of the sample after temperature cycling.

[0010] 2) Radiation resistance test: Expose the sample to a radiation environment with an ultraviolet radiation intensity of 800 - 1500 W / m 2 , a cumulative radiation time of not less than 72 hours, and a γ-ray radiation dose of 8 - 15 kGy; Test the degree of aging, physical property changes, and surface damage of the tire after radiation.

[0011] 3) Vacuum environment test: Place the sample in a vacuum environment with a vacuum degree less than 10 -6 Pa, and the holding time is not less than 48 hours; Test the airtightness, dimensional stability, and physical property changes of the sample in the vacuum environment.

[0012] 4) Wear resistance test: Use a wear testing machine to simulate the micro-meteorite impact and lunar dust wear on the lunar surface, with a load of 400 - 600 N, a rotation speed of 40 - 60 rpm, and a duration of not less than 10 hours; Test the wear depth, surface damage, and wear resistance of the sample.

[0013] 5) Self-repair ability test: Create small cracks or perforations on the surface of the sample and place it in a simulated lunar environment, with a simulated lunar environment temperature range of -100°C to 140°C and a vacuum degree less than 10 -6 Pa; Observe the self-repair ability and test the performance recovery of the repaired sample, including tensile strength, elongation at break, and airtightness.

[0014] Preferably, in the anti-radiation test of step 2), the ultraviolet radiation intensity is 1000 W / m 2 , and the γ-ray radiation dose is 10 kGy.

[0015] Preferably, in the abrasion resistance test of step 4), the load is 500 N and the rotation speed is 50 rpm.

[0016] Furthermore, the present invention also provides a detection system for characterizing the performance of a lunar rover tire. This system implements the above method, and the system includes:

[0017] 1) A temperature cycle test chamber for performing extreme temperature cycle tests on tire samples to simulate the temperature changes on the lunar surface;

[0018] 2) A radiation source device for performing ultraviolet and γ-ray radiation tests on tire samples;

[0019] 3) A vacuum environment test chamber for simulating the vacuum conditions on the lunar surface;

[0020] 4) An abrasion testing machine for simulating micro-meteorite impacts and lunar dust abrasion on the lunar surface;

[0021] 5) A damage simulation device for creating cracks or perforations on the tire surface to test the self-repair ability of the tire;

[0022] 6) Physical property testing equipment for testing the dimensional changes, tensile strength, elongation at break, and airtightness of tire samples.

[0023] Preferably, the system further includes a data acquisition and processing module for collecting and processing test data from each test device and performing real-time monitoring and analysis on the data.

[0024] Preferably, the system includes a user interface through which the user can view the test data and results of each test step in real time and adjust the test parameters according to the test progress.

[0025] Furthermore, the present invention also provides an evaluation method for characterizing the performance of a lunar rover tire. The method includes the following steps:

[0026] 1) Normalize each performance index obtained by the above method so that they can be compared on the same scale;

[0027] 2) Assign weights to each performance index according to its importance and calculate the weighted score of each index;

[0028] 3) Use a multi-objective optimization algorithm to synthesize multiple performance indexes to obtain the comprehensive performance score of the lunar rover tire;

[0029] 4) Based on the comprehensive performance score, conduct the final performance evaluation of the lunar rover tire.

[0030] Preferably, the method uses fuzzy logic reasoning to evaluate each performance index, thereby handling the uncertainty and ambiguity in the test data and generating the comprehensive performance evaluation result of the tire.

[0031] Preferably, the method further includes training the historical data using a machine learning model, and predicting the comprehensive performance of the tire sample through the prediction model to assist in evaluating the performance of the tire in the lunar environment.

[0032] Preferably, the result of the evaluation method can be used to guide the design optimization of the lunar rover tire and provide reliable tire performance data support for the lunar exploration mission.

[0033] Due to the adoption of the above technical solution, the detection method of the present invention comprehensively simulates the environmental conditions on the lunar surface through multiple steps such as extreme temperature cycling, radiation resistance testing, vacuum environment testing, wear resistance testing, and self-healing ability testing, covering factors such as extreme temperature changes, strong radiation, vacuum state, and lunar dust wear that the lunar rover tire may encounter in actual missions. These tests can effectively evaluate the comprehensive performance of the tire in the lunar environment, avoiding the deficiency that traditional methods cannot fully simulate the lunar environment.

[0034] Furthermore, through the multi-objective optimization algorithm, the present invention can synthesize multiple performance indexes (such as temperature cycling, radiation resistance, vacuum adaptability, wear resistance, self-healing ability, etc.) to obtain the comprehensive performance score of the lunar rover tire. This score can comprehensively reflect the comprehensive performance of the tire in the lunar environment and provide a scientific basis for the design and optimization of the lunar rover tire. The present invention adopts the fuzzy logic reasoning method, which can effectively handle the uncertainty and ambiguity in the test data. In the lunar environment, the performance of the tire is often affected by multiple factors, and fuzzy logic can provide a more flexible and accurate performance evaluation result when dealing with these complex and fuzzy performance data.

[0035] Through the performance evaluation method of the present invention, the obtained comprehensive performance score can provide specific guidance for the design optimization of the lunar rover tire. The test results can not only be used to evaluate the performance of existing tires, but also help researchers discover the potential deficiencies of the tires in extreme environments, promoting the innovation and optimization of new tire materials and structures. Specific Embodiments

[0036] Combined with the tire sample of the present invention below, the technical solutions in the tire sample will be described clearly and completely. Obviously, the described tire sample is only a part of the tire samples of the present invention, rather than all the tire samples. Based on the tire samples of the present invention, all other tire samples obtained by those of ordinary skill in the art without creative efforts fall within the protection scope of the present invention.

[0037] A detection system for characterizing the performance of a lunar rover tire according to the present invention includes multiple subsystems, and each subsystem is used to implement a certain test in the above test method. The specific composition is as follows:

[0038] 1. Temperature cycle test chamber

[0039] Used for extreme temperature cycle testing. The test chamber can accurately control the temperature range from -100°C to 140°C and ensure that the temperature remains stable at each stage. It is configured with an automatic adjustment function and can automatically adjust and cycle according to the preset temperature changes.

[0040] 2. Radiation source device

[0041] It includes an ultraviolet radiation source and a gamma ray radiation source. The ultraviolet radiation source can output a stable radiation intensity (1000W / m 2 ), and the radiation duration is set to 72 hours. The gamma ray radiation source provides a radiation dose of 8 - 15 kGy to simulate the effects of solar radiation and space radiation.

[0042] 3. Vacuum environment test chamber

[0043] Used to simulate the vacuum environment on the lunar surface. This chamber can maintain a vacuum degree below 10 -6 Pa and provide a long-term test environment. It is equipped with precise airtightness testing instruments and can monitor the state of the sample in a vacuum in real time.

[0044] 4. Abrasion testing machine

[0045] Used to simulate the effects of micro-meteorite impacts and lunar dust abrasion on the lunar surface. This device can set the load to 500N, the rotation speed to 50 rpm, and complete the abrasion test within a specified time. It is equipped with a surface detection system for measuring the abrasion depth and damage conditions.

[0046] 5. Damage simulation device

[0047] Used to create micro-cracks or perforations to simulate micro-meteorite impacts on the lunar surface. This device can precisely control the size and location of the damage and provide reliable data for subsequent self-repair testing.

[0048] 6. Data acquisition and processing module

[0049] This module can collect test data from various test devices in real time, analyze and process it, and generate real-time reports. This module also has a data storage function, which can record all experimental processes and test results.

[0050] 7. User Interface

[0051] The system is equipped with a user interface, which facilitates users to view real-time data during the test, adjust test parameters, and manage test tasks. The user interface provides real-time feedback and can display changes in various performance indicators through charts to help users quickly evaluate the performance of the tire.

[0052] A detection method for characterizing the performance of a lunar rover tire according to the present invention includes the following steps:

[0053] 1. Extreme temperature cycle test:

[0054] Place the sample in a temperature cycle test chamber to simulate the extreme temperature changes on the lunar surface.

[0055] Temperature cycle range: -100°C to 140°C, the holding time for each temperature segment is not less than 2 hours, and the number of cycles is not less than 10 times.

[0056] Test the appearance, dimensional changes, and physical properties (such as tensile strength, elongation at break) of the test sample after temperature cycling.

[0057] 2. Radiation resistance test:

[0058] Expose the sample to an environment of ultraviolet and gamma ray radiation to simulate the impact of solar radiation on the tire.

[0059] Radiation dose: The intensity of ultraviolet radiation is 1000 W / m 2 , and the cumulative radiation time is not less than 72 hours; the gamma ray radiation dose is 10 kGy.

[0060] Test the degree of aging, physical property changes, and surface damage of the tire after radiation.

[0061] 3. Vacuum environment test:

[0062] Place the sample in a vacuum environment to simulate the vacuum conditions on the lunar surface.

[0063] Vacuum degree: 10 -6 Pa, and the holding time is not less than 48 hours.

[0064] Test the airtightness, dimensional stability, and physical property changes of the test sample in the vacuum environment.

[0065] 4. Abrasion resistance test:

[0066] Use a wear testing machine to simulate micro - meteorite impacts and lunar dust abrasion on the lunar surface.

[0067] Wear test conditions: Load 500N, rotation speed 50rpm, duration not less than 10 hours.

[0068] Test the wear depth, surface damage and wear resistance of the test samples.

[0069] 5. Self - repair ability test:

[0070] Manufacture tiny cracks or perforations on the sample surface to simulate micro - meteorite impact damage on the lunar surface.

[0071] Place the damaged sample in a simulated lunar environment (low temperature, vacuum) and observe its self - repair ability.

[0072] Test the performance recovery of the repaired sample, including tensile strength, elongation at break and airtightness.

[0073] The detection method of the present invention simulates the extreme temperature, vacuum, radiation and complex terrain conditions on the lunar surface, and comprehensively evaluates the performance of the tire in the actual use environment.

[0074] The present invention has developed a special test method for the tire tread with self - repair function to evaluate its self - repair effect in the lunar environment.

[0075] The present invention more realistically simulates the driving conditions of a lunar rover on the lunar surface. Simulate micro - meteorite impacts and lunar dust abrasion on the lunar surface to evaluate the wear resistance of the tire.

[0076] The following tests are carried out on 3 different tires, and the data simulate the performance of different tire samples in the extreme lunar environment, including test items such as temperature cycling, radiation resistance, vacuum environment, wear resistance, self - repair ability, etc.

[0077] 1. Extreme temperature cycling test:

[0078] Place the sample in a temperature cycling test chamber, with the temperature cycling range from - 100°C to 140°C, hold for 2 hours at each temperature stage, and cycle 10 times.

[0079] The test results show that the dimensional change of the sample after temperature cycling is less than 1%, and the tensile strength and elongation at break remain above 90% of the initial value.

[0080]

[0081]

[0082]

[0083] 2. Radiation resistance test:

[0084] The sample was exposed to ultraviolet rays (1000 W / m 2 ) and gamma rays (10 kGy) for a cumulative radiation time of 72 hours.

[0085] The test results showed that there was no obvious aging on the surface of the sample, and the tensile strength and elongation at break remained above 85% of the initial value.

[0086]

[0087] 3. Vacuum environment test:

[0088] The sample was placed in a vacuum environment (10 -6 Pa) and kept for 48 hours.

[0089] The test results showed that the airtightness of the sample was good, the dimensions were stable, and there were no obvious changes in the physical properties.

[0090]

[0091]

[0092] 4. Abrasion resistance test:

[0093] An abrasion testing machine was used with a load of 500 N, a rotation speed of 50 rpm, and a duration of 10 hours.

[0094]

[0095] The test results showed that the wear depth of the sample was less than 0.5 mm, and the abrasion resistance was excellent.

[0096] 5. Self-healing ability test:

[0097] Tiny cracks were created on the surface of the sample to simulate the damage caused by micro-meteorite impacts on the lunar surface.

[0098] The damaged sample was placed in a low temperature (-100 °C) and vacuum environment to observe its self-healing ability.

[0099] The test results showed that the tensile strength and elongation at break of the repaired sample were restored to more than 95% of the initial value, and the airtightness was good.

[0100]

[0101] Example 2

[0102] An evaluation method for characterizing the performance of lunar rover tires. The evaluation method of the present invention mainly includes the following four steps: normalization processing, weighted scoring, multi-objective optimization, and final performance evaluation. The specific steps are as follows:

[0103] Step 1: Normalization of Performance Metrics

[0104] To ensure that various performance metrics can be compared on the same scale, it is first necessary to normalize each performance metric. The normalized values will be unified within the range of 0 to 1, facilitating subsequent comprehensive analysis.

[0105] Normalization formula:

[0106]

[0107] Where:

[0108] X is the actual value of a certain performance metric.

[0109] X min and X max are the minimum and maximum values of this metric in the test samples, respectively.

[0110] X norm is the normalized value, ensuring that all metrics are between 0 and 1.

[0111] For performance metrics where the larger the value, the better (such as tensile strength), the above formula is used for normalization; for metrics where the smaller the value, the better (such as wear depth), the following formula can be used:

[0112]

[0113] This normalization process will ensure that all metrics are compared on the same scale.

[0114] Step 2: Assign Weights to Performance Metrics and Calculate Weighted Scores

[0115] Each performance metric has a different importance for the overall performance evaluation of the lunar rover tire. Therefore, during the evaluation process, different weights need to be assigned according to the importance of each metric. Through the weighted scoring method, the score of each performance metric is obtained.

[0116] Weighted scoring formula:

[0117]

[0118] Where:

[0119] S i is the weighted score of the i-th performance metric.

[0120] w i is the weight of the i-th performance metric.

[0121] X inorm is the normalized value of the i-th performance metric.

[0122] For all performance metrics, the total score S total is the sum of all weighted scores:

[0123]

[0124] where:

[0125] n is the total number of performance metrics.

[0126] Step 3: Multi-objective optimization to integrate multiple performance metrics

[0127] When considering multiple performance metrics, direct summation may overlook the balance and interaction between different metrics. To better integrate multiple performance metrics, the present invention uses multi-objective optimization algorithms (such as genetic algorithms, particle swarm optimization, etc.) to optimize each performance metric.

[0128] The goal of multi-objective optimization is to optimize multiple performance metrics simultaneously and find the best solution through the optimization algorithm. Using the multi-objective optimization method, we can obtain a Pareto front solution set, in which each solution represents an optimal solution that balances different objectives.

[0129] Multi-objective optimization model:

[0130] Maximize F(X) = (f1(X), f2(X),..., f n (X))

[0131] where:

[0132] X is a vector of decision variables (i.e., the weighted scores of performance metrics).

[0133] f i (X) is the optimization objective of the i-th performance metric.

[0134] The optimization process will return a Pareto front solution set, and the optimal solution is selected as the comprehensive performance score of the lunar rover tire.

[0135] Step 4: Final performance evaluation

[0136] The optimal solution obtained through the multi-objective optimization algorithm represents the comprehensive performance of the lunar rover tire under different performance metrics. The final performance evaluation result will be based on this comprehensive score to judge the overall performance level of the tire.

[0137] Final performance evaluation formula:

[0138] P scoe = Max(S total )

[0139] Wherein:

[0140] P seore is the final performance score of the lunar rover tire.

[0141] This score can be obtained through the optimal solution of multi-objective optimization.

[0142] Furthermore, on the basis of multi-objective optimization, considering that some test data may be uncertain or ambiguous, the present invention further uses fuzzy logic reasoning to evaluate the test data. Through fuzzy logic processing, the evaluation of performance indicators can be made more flexible. Especially when dealing with uncertain indicators such as temperature changes and wear, fuzzy logic can effectively make up for the deficiencies of traditional scoring methods.

[0143] The fuzzy logic evaluation process is as follows:

[0144] Define fuzzy rules: Set fuzzy labels such as "good" and "bad" according to the range of test data;

[0145] Fuzzy reasoning: Reason about the performance indicators according to the fuzzy rules to obtain the fuzzy evaluation result;

[0146] Defuzzification: Convert the fuzzy evaluation result into a specific score to help generate the final performance evaluation.

[0147] The present invention further introduces a machine learning model, which is trained through historical data to establish a tire performance prediction model. This model can predict its comprehensive performance in the lunar environment according to the input environmental and tire parameters. The machine learning model can effectively handle large-scale data and capture potential laws, thereby assisting in evaluating the performance of lunar rover tires.

[0148] Training and prediction of the machine learning model:

[0149] Data preparation: Collect historical tire test data, including test results under different environments;

[0150] Model training: Use supervised learning algorithms (such as support vector machines, neural networks, etc.) to train the model and optimize the model by minimizing the error function;

[0151] Performance prediction: Input the data of the lunar rover tire to be evaluated into the trained model to obtain the performance prediction result.

[0152] The above is the description of the tire samples of the present invention. Through the above description of the disclosed tire samples, those skilled in the art can implement or use the present invention. Various modifications to these tire samples will be obvious to those skilled in the art. The general principles defined herein can be implemented in other tire samples without departing from the spirit or scope of the present invention. Therefore, the present invention will not be limited to these embodiments shown herein, but rather to the broadest scope consistent with the principles and novel features disclosed herein.

Claims

1. A detection method for simulating and characterizing the performance of a lunar rover tire, characterized in that, The method includes the following steps: 1) Extreme temperature cycle test: Place the sample in a temperature cycle test chamber to simulate the temperature changes on the lunar surface. The temperature range is from -100°C to 140°C, and the holding time for each temperature segment is not less than 2 hours, and the number of cycles is not less than 10 times; Test the appearance, dimensional changes, and physical properties of the sample after the temperature cycle; 2) Radiation resistance test: Expose the sample to a radiation environment with an ultraviolet radiation intensity of 800 - 1500 W / m², a cumulative radiation time of not less than 72 hours, and a γ-ray radiation dose of 8 - 15 kGy; Test the degree of aging, physical property changes, and surface damage of the tire after radiation; 3) Vacuum environment test: Place the sample in a vacuum environment with a vacuum degree less than 10⁻ 6 Pa, and maintain for no less than 48 hours; Test the airtightness, dimensional stability, and physical property changes of the sample in a vacuum environment; 4) Abrasion resistance test: Use a wear testing machine to simulate the micro-meteorite impact and lunar dust abrasion on the lunar surface, with a load of 400 - 600 N, a rotation speed of 40 - 60 rpm, and a duration of not less than 10 hours; Test the wear depth, surface damage, and abrasion resistance of the sample; 5) Self-healing ability test: Micro-cracks or perforations are created on the surface of the sample and placed in a simulated lunar environment. The simulated lunar environment has a temperature range of -100°C to 140°C and a vacuum degree of less than 10⁻ 6 Pa; Observe the self-healing ability and test the performance recovery of the repaired sample, including tensile strength, elongation at break, and airtightness.

2. The method according to claim 1, characterized in that, In step 2) of the radiation resistance test, the ultraviolet radiation intensity is 1000 W / m², and the γ-ray radiation dose is 10 kGy.

3. The method according to claim 1, wherein In step 4) of the abrasion resistance test, the load is 500 N, and the rotation speed is 50 rpm.

4. A detection system for characterizing the performance of a lunar rover tire, the system implementing the method according to any one of claims 1-3, characterized in that, The system includes: 1) A temperature cycle test chamber for performing extreme temperature cycle tests on tire samples to simulate the temperature changes on the lunar surface; 2) A radiation source device for performing ultraviolet and γ-ray radiation tests on tire samples; 3) A vacuum environment test chamber for simulating the vacuum conditions on the lunar surface; 4) A wear testing machine for simulating the micro-meteorite impact and lunar dust abrasion on the lunar surface; 5) A damage simulation device for creating cracks or perforations on the tire surface to test the self-repair ability of the tire; 6) Physical property testing equipment for testing the dimensional changes, tensile strength, elongation at break, and airtightness of tire samples.

5. The detection system according to claim 4, wherein The system further includes a data acquisition and processing module for collecting and processing test data from each test device, and for real-time monitoring and analysis of the data.

6. The detection system according to claim 4, wherein The system includes a user interface through which the user can view the test data and results of each test step in real time, and can adjust the test parameters according to the test progress.

7. An evaluation method for characterizing the performance of a lunar rover tire, characterized in that, The method includes the following steps: 1) Normalize each performance index obtained by the method described in any one of claims 1 - 3 so that they can be compared on the same scale; 2) Assign weights to each performance index according to its importance and calculate the weighted score for each index; 3) Use a multi-objective optimization algorithm to synthesize multiple performance indexes to obtain the comprehensive performance score of the lunar rover tire; 4) Based on the comprehensive performance score, conduct the final performance evaluation of the lunar rover tire.

8. The evaluation method according to claim 7, wherein The method uses fuzzy logic reasoning to evaluate each performance index, thereby handling the uncertainty and ambiguity in the test data and generating the comprehensive performance evaluation result of the tire.

9. The evaluation method according to claim 7, wherein The method further includes training a machine learning model on historical data and predicting the comprehensive performance of the tire sample through a prediction model to assist in evaluating the performance of the tire in the lunar environment.

10. The evaluation method according to claim 7, characterized in that The results of the evaluation method can be used to guide the design optimization of lunar rover tires and provide reliable tire performance data support for lunar exploration missions.

Images