Cab fatigue durability analysis method and device

Abstract

The invention provides a cab fatigue durability analysis method and device. The method comprises the steps that respective load spectrums of m machine types under n working conditions are acquired; envelope processing is carried out on the respective load spectrums of the m machine types under the n working conditions, and corresponding envelope power spectrum densities are obtained; modeling and frequency response analysis are carried out on the cabs corresponding to the m models, and corresponding frequency response results are obtained; and performing fatigue simulation based on the corresponding envelope power spectrum density and the frequency response result to obtain a corresponding simulation result. Therefore, the accuracy and the reliability of fatigue durability analysis of the cab can be improved.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of fatigue durability analysis of an engineering vehicle, and particularly relates to a cab fatigue durability analysis method and device. BACKGROUND

[0002] Excavators are widely used in mining, road construction, urban construction and other fields, and the working conditions are complex, diverse and harsh. As one of the key components of the excavator, the cab is subjected to most of the loads during the operation of the equipment, which will generate dynamic stress and cause fatigue damage. When the fatigue damage accumulates to a certain extent, fatigue cracking will occur. Therefore, improving the fatigue durability life of the cab is a very important work in the research and development process.

[0003] The existing cab fatigue durability analysis scheme is determined by the frequency spectrum of the cab. However, it is found in practice that the frequency spectrum cannot comprehensively simulate the complex and variable actual working conditions, resulting in low accuracy of the cab fatigue durability analysis. SUMMARY

[0004] Therefore, the embodiments of the present application aim to provide a cab fatigue durability analysis method, device, equipment and medium, which can improve the accuracy and reliability of the cab fatigue durability analysis.

[0005] In one aspect, the present application provides a cab fatigue durability analysis method, which comprises:

[0006] obtaining a load spectrum of each of m machine types under n working conditions, the load spectrum being used to reflect the acceleration of the cab of different machine types under the corresponding working condition, m and n being positive integers;

[0007] envelope processing the load spectrum of each of the m machine types under the n working conditions to obtain a corresponding envelope power spectrum density, the envelope power spectrum density being used to reflect the load received by the m machine types;

[0008] modeling and frequency response analysis of the corresponding cab of the m machine types to obtain a corresponding frequency response result, the frequency response result being used to reflect the response characteristics of the cab under different frequencies;

[0009] performing fatigue simulation based on the corresponding envelope power spectrum density and the frequency response result to obtain a corresponding simulation result, the simulation result including the fatigue damage value of each component in the cab and / or the simulation fatigue life of the cab.

[0010] In some embodiments, the obtaining of the load spectrum of each of the m machine types under the n working conditions comprises:

[0011] Determination of the acquisition points according to the structure of the cab, the acquisition points including sampling points at the connection between the cab and the frame before and after damping;

[0012] Based on the acquisition points and a preset cycle number, the load spectrum of the m models under n working conditions is collected, and the preset cycle number is used to reflect the collection duration corresponding to the load spectrum.

[0013] In some embodiments, the envelope processing of the load spectrum of each of the m models under n working conditions to obtain the envelope power spectrum density corresponding to the m models includes:

[0014] The load spectrum of each of the m models under n working conditions is intercepted to obtain the time-domain load spectrum of the m models in different directions under the n working conditions, and the time-domain load spectrum is used to reflect the acceleration at different times;

[0015] Based on the time-domain load spectrum of the m models in different directions under the n working conditions, overall fatigue damage calculation is performed to obtain the overall fatigue damage spectrum of the m models in different directions, and the overall fatigue damage spectrum is used to reflect the fatigue damage value of the model at the corresponding frequency;

[0016] The overall fatigue damage spectrum of the m models in different directions is subjected to power spectrum conversion to obtain the power spectrum density of the m models in different directions, and the power spectrum density is used to reflect the power density of the model at the corresponding frequency;

[0017] Based on the power spectrum density of the m models in different directions, flat processing is performed to obtain the envelope power spectrum density corresponding to the different directions.

[0018] In some embodiments, the overall fatigue damage calculation based on the time-domain load spectrum of the m models in different directions under the n working conditions to obtain the overall fatigue damage spectrum of the m models in different directions includes:

[0019] Based on the time proportion of each model under the n working conditions and the design service life of each model, the cycle number of each model under the n working conditions is calculated, and the time proportion is used to indicate the working proportion of the corresponding working condition in the collection duration corresponding to the load spectrum, and the cycle number is used to indicate the working number of the corresponding cycle in the collection duration;

[0020] Based on the time-domain load spectrum of each model in different directions under the n working conditions, impact response calculation is performed to obtain the impact response spectrum of each model in different directions under the n working conditions, and the impact response spectrum is used to reflect the acceleration of the model at the corresponding frequency;

[0021] calculating fatigue damage based on the impact response spectrum of each machine type in different directions under the n working conditions to obtain a fatigue damage spectrum of each machine type in different directions under the n working conditions, the fatigue damage spectrum being used to reflect the damage value of the machine type at a corresponding frequency;

[0022] performing damage superposition based on the cycle number of each machine type under the n working conditions and the fatigue damage spectrum of each machine type in different directions under the n working conditions to obtain an overall fatigue damage spectrum of each machine type in different directions.

[0023] In some embodiments, the modeling and frequency response analysis of the cab corresponding to the m machine types to obtain the corresponding frequency response result comprises:

[0024] modeling the cab to obtain a finite element model corresponding to the cab;

[0025] performing frequency response analysis on the finite element model to obtain the frequency response result.

[0026] In some embodiments, the method further comprises:

[0027] performing a bench test based on the envelope power spectral density to obtain a corresponding test result, the test result at least including one of a cracking position, a cracking time and a bench test life of the cab.

[0028] In some embodiments, the method further comprises:

[0029] adjusting a simulation confidence of the fatigue simulation based on the bench test life and the simulation fatigue life, the simulation confidence being used to reflect the reliability of the fatigue simulation.

[0030] In some embodiments, the simulation fatigue life is determined based on the design service life of the cab corresponding machine type and the maximum fatigue damage value of the fatigue damage values of each component in the cab.

[0031] In some embodiments, the cab uses a rigid adapter support instead of a shock absorber.

[0032] In some embodiments, the working conditions include side wall stone loading, rotary loading or walking climbing.

[0033] Another aspect of the present application provides a cab fatigue durability analysis device, the device comprising:

[0034] an acquisition module configured to acquire a load spectrum of m machine types under n working conditions, the load spectrum being used to reflect the acceleration of the cab of different machine types under a corresponding working condition, m and n being positive integers;

[0035] a processing module configured to perform envelope processing on the load spectrum of each of the m machine types under the n working conditions to obtain a corresponding envelope power spectral density, the envelope power spectral density being used to reflect the load received by the m machine types;

[0036] The processing module is further configured to model and perform frequency response analysis on the corresponding cab of the m machine types to obtain a corresponding frequency response result, the frequency response result being used to reflect the response of the cab under different frequencies and loads.

[0037] The processing module is further configured to perform fatigue simulation based on the corresponding envelope power spectral density and the frequency response result to obtain a corresponding simulation result, the simulation result including fatigue damage values of each component in the cab and / or a simulated fatigue life of the cab.

[0038] For the content not introduced or described in the embodiments of the present application, reference can be made to the related introduction in the foregoing method embodiments, which will not be described here again.

[0039] In yet another aspect, the present application provides a computer device, comprising: a processor; a memory for storing processor-executable instructions; wherein the processor is configured to execute the executable instructions to implement the steps of the foregoing method.

[0040] In yet another aspect, the present application provides a computer-readable storage medium having stored thereon computer program instructions, which, when executed by a processor, implement the steps of the foregoing method.

[0041] The technical scheme provided by the embodiments of the present application can include the following beneficial effects: obtaining the load spectrum of each of the m machine types under the n working conditions, the load spectrum being used to reflect the acceleration of the cab of different machine types under the corresponding working condition, m and n being positive integers; performing envelope processing on the load spectrum of each of the m machine types under the n working conditions to obtain a corresponding envelope power spectral density, the envelope power spectral density being used to reflect the load received by the m machine types; modeling and performing frequency response analysis on the corresponding cab of the m machine types to obtain a corresponding frequency response result, the frequency response result being used to reflect the response characteristics of the cab under different frequencies; performing fatigue simulation based on the corresponding envelope power spectral density and the frequency response result to obtain a corresponding simulation result, the simulation result including fatigue damage values of each component in the cab and / or a simulated fatigue life of the cab. In this way, the load spectrum of different machine types under different working conditions can be comprehensively considered for cab fatigue durability analysis, which can not only solve the problem of low fatigue analysis accuracy caused by the inability to comprehensively simulate / consider complex and variable working conditions in the prior art, but also be conducive to improving the accuracy and reliability of fatigue analysis. BRIEF DESCRIPTION OF DRAWINGS

[0042] Figure 1 A flowchart of a cab fatigue durability analysis method provided by an embodiment of the application.

[0043] Figure 2 A flowchart of a load spectrum acquisition provided by an embodiment of the application.

[0044] Figure 3 A schematic diagram of a collection point provided by an embodiment of the application.

[0045] Figure 4 A flowchart of envelope processing provided by an embodiment of the application.

[0046] Figure 5 A schematic diagram of a time-domain load spectrum in three directions under a side wall stone loading condition provided by an embodiment of the application.

[0047] Figure 6 A flowchart of overall fatigue damage calculation provided by an embodiment of the application.

[0048] Figure 7 A schematic diagram of a power spectral density of three machine types respectively provided by an embodiment of the application.

[0049] Figure 8 A schematic diagram of an envelope power spectral density of three machine types respectively provided by an embodiment of the application.

[0050] Figure 9 A flowchart of frequency response analysis provided by an embodiment of the application.

[0051] Figure 10 A schematic diagram of cab rigid fixation provided by an embodiment of the application.

[0052] Figure 11 A schematic diagram of a cab fatigue durability analysis device provided by an embodiment of the application.

[0053] Figure 12 A schematic diagram of a computer device provided by an embodiment of the application. DETAILED DESCRIPTION

[0054] The technical solutions in the embodiments of the application will be described clearly and completely below with reference to the drawings in the embodiments of the application. Obviously, the described embodiments are only part of the embodiments of the application, rather than all the embodiments of the application. Based on the embodiments in the application, all other embodiments obtained by a person of ordinary skill in the art without creative work fall within the protection scope of the application.

[0055] Please refer to Figure 1is a flowchart of a cab fatigue durability analysis method provided by an embodiment of the present application. As shown in the figure Figure 1 The method can be applied to various vehicles, including but not limited to vehicles such as excavators. The method includes the following implementation steps:

[0056] S101, obtain the load spectrum of each of the m models under n working conditions, which is used to reflect the acceleration of the cab of different models under the corresponding working condition. The cab of each of the m models has the same structure, and m and n are positive integers.

[0057] The above-mentioned model of the present application can refer to the model of the vehicle, such as the model of the excavator. The above-mentioned working condition can refer to the actual working state of the vehicle model, which can include but is not limited to, for example, side wall stone, turning loading, walking climbing or other self-defined working conditions, etc. The above-mentioned load spectrum can refer to the load spectrum of the cab of the target model under the corresponding working condition, which can specifically include the acceleration data (also referred to as time domain load spectrum) of the target model in different directions under the corresponding working condition, such as the acceleration data of each of the X, Y and Z axis directions, etc. The target model can be any of the above-mentioned m models. Wherein, m and n can be positive integers set by the system in advance, which can be set according to the actual situation, and the present application does not make too many limitations.

[0058] S102, envelope processing is performed on the load spectrum of each of the m models under n working conditions to obtain the corresponding envelope power spectrum density, which is used to reflect the load received by the m models.

[0059] The envelope power spectrum density (Power Spectral Density, PSD) in the present application can refer to the power spectrum density of the envelope of the above-mentioned m models. Wherein, each direction corresponds to a respective envelope spectrum density, and different directions correspond to different envelope power spectrum densities, such as X, Y and Z three axis directions, etc.

[0060] S103, modeling and frequency response analysis are performed on the cab corresponding to the m models to obtain the corresponding frequency response result, which is used to reflect the response characteristics of the cab under different frequencies.

[0061] The above-mentioned frequency response result of the present application is used to reflect the response characteristics of the cab under different frequencies, which includes but is not limited to, for example, the change of physical quantities such as displacement, velocity, acceleration and stress, etc., and the present application does not make too many limitations and details.

[0062] By implementing the embodiment of the present application, the load spectrum of m models under n working conditions is obtained, the load spectrum is used to reflect the acceleration of the cab of different models under the corresponding working condition, and m and n are positive integers; the load spectrum of the m models under n working conditions is subjected to envelope processing to obtain the corresponding envelope power spectrum density, and the envelope power spectrum density is used to reflect the load received by the m models; the corresponding cab of the m models is modeled and frequency response analysis is performed to obtain the corresponding frequency response result, and the frequency response result is used to reflect the response characteristics of the cab under different frequencies; fatigue simulation is performed based on the corresponding envelope power spectrum density and the frequency response result to obtain the corresponding simulation result, and the simulation result includes the fatigue damage value of each component in the cab and / or the simulation fatigue life of the cab. In this way, the load spectrum of different models under different working conditions can be comprehensively considered for cab fatigue durability analysis, which can not only solve the problem that the fatigue analysis accuracy is not high due to the inability to comprehensively simulate / consider complex and variable working conditions in the prior art, but also can help to improve the accuracy and reliability of fatigue analysis.

[0063] In step S101, the embodiment of the present application does not limit the acquisition of the load spectrum, and in one embodiment, the present application can directly collect and obtain by using the corresponding sensor installed in the cab.

[0064] In another embodiment, please refer to Figure 2 is a flowchart of a load spectrum acquisition provided by an embodiment of the present application. As Figure 2 shown in the flowchart, the following implementation steps can be included:

[0065] S201, determine the collection points according to the structure of the cab, and the collection points include the sampling points at the connection between the cab and the frame before and after the shock absorption.

[0066] The collection points of the present application can refer to the sampling points at the connection between the cab and the frame before and after the shock absorption. The present application does not limit the number of the collection points, which can be determined according to the actual situation. For example, please refer to Figure 3 is a schematic diagram of a collection point provided by an embodiment of the present application. As Figure 3 shown, the collection points planned according to the structure of the cab can include the frame end points A1-A4 before the shock absorption and the cab floor end points P1-P4 after the shock absorption. It can be understood that the load of the sampling points at the connection between the cab floor and the rear end of the shock absorber is taken for fatigue analysis and subsequent bench test, which can eliminate the influence of the performance change of the shock absorber in the test stage, and is beneficial to improve the consistency of the simulation result and the test result. The bench test and the test result will be described in detail in the following text of the present application.

[0067] S202, collect the load spectrum of the m machine types under n working conditions based on the collection points and a preset cycle number, the preset cycle number being used to reflect a collection duration corresponding to the load spectrum.

[0068] The preset cycle number in the application can be set by the system in advance, for example, 3-5 cycles, etc. The application can install acceleration sensors at the collection points, and collect the load under different working conditions by using the acceleration sensors, so as to obtain the load spectrum of the m machine types under n working conditions. The load spectrum can specifically include the time-domain load spectrum of the m machine types in different directions under n working conditions, that is, the acceleration data in different directions. For example, it can specifically include the time-domain load spectrum of the m machine types in X, Y and Z three-axis directions under n working conditions, etc.

[0069] For example, taking the working of excavators in a certain iron mine as an example, the working conditions of the excavators in the working process can include side wall stone buckling, rotary loading and walking climbing. The application can select the cabs of different tonnage machine types to collect the load spectrum, so as to analyze the load difference of the cabs of different tonnage machine types. For example, 37t, 55t and 87t tonnage machine types can be selected, and acceleration sensors are installed at the collection points (for example, 8 collection points shown in the figure) of the cabs of each tonnage machine type, and the acceleration sensors are used to collect the load under 3-5 preset cycle numbers in the three working conditions of side wall stone buckling, rotary loading and walking climbing, so as to collect the load spectrum of the corresponding machine type under the corresponding working condition. Figure 2

[0070] In step S102, the specific implementation of the envelope processing is not limited in the application, for example, please refer to Figure 4 An embodiment of the application provides a flowchart of envelope processing. As shown in the flowchart Figure 4 The flowchart can include the following implementation steps:

[0071] S401, perform intercepting processing on the load spectrum of the m machine types under the n working conditions, to obtain the time-domain load spectrum of the m machine types in different directions under the n working conditions, the time-domain load spectrum being used to reflect the acceleration at different times.

[0072] ​The application can intercept the load spectrum of each model under the n working conditions to obtain the time-domain load spectrum of each model under the n working conditions in different directions, for example, the time-domain load spectrum of the collection point in the X, Y and Z directions.

[0073] For example, please refer to Figure 5 is a schematic diagram of the time-domain load spectrum of the side wall stone material working condition in three directions provided by an embodiment of the application. As shown in Figure 5 respectively, the load spectrum of the side wall stone material working condition in the X, Y and Z directions is shown.

[0074] S402, based on the time-domain load spectrum of the m models in different directions under the n working conditions, overall fatigue damage calculation is performed to obtain the overall fatigue damage spectrum of the m models in different directions, which is used to reflect the fatigue damage value of the model under the corresponding frequency.

[0075] The application does not limit the specific implementation of the above overall fatigue damage calculation, for example, please refer to Figure 6 is a flowchart of an overall fatigue damage calculation provided by an embodiment of the application. As shown in Figure 6 The flowchart shown can include the following implementation steps:

[0076] S601, based on the time proportion of each model under the n working conditions and the design service life of each model, the cycle number of each model under the n working conditions is calculated, the time proportion is used to indicate the working proportion of the corresponding working condition in the collection time corresponding to the load spectrum, and the cycle number is used to indicate the working number of the corresponding cycle in the collection time.

[0077] The above time proportion of the application refers to the time proportion of each working condition, which can specifically refer to the working time proportion of each working condition in the collection time corresponding to the load spectrum. The above cycle number can refer to the cycle number of each working condition, which can specifically refer to the working number of the corresponding cycle of each working condition in the collection time corresponding to the load spectrum. The design service life of the above model can be set by the system in advance, which can be set according to the actual situation, for example, 1200 hours (h).

[0078] The application can calculate the cycle number of each of the n working conditions based on the time proportion of each of the n working conditions and the design service life of the machine type for each machine type, and the specific calculation formula can be shown in the following formula (1):

[0079]

[0080] wherein, N i represents the cycle number of working condition i. T total represents the design service life of the machine type. p i represents the time proportion of working condition i. t i represents the time length of working condition i in one cycle, which can also be referred to as the single cycle time length of working condition i, which can be pre-set by the system.

[0081] For example, assuming that the time proportions of the three working conditions of side wall flat ground stone material, rotary loading, and walking climbing are 45%, 45%, and 10%, respectively, and the design service life of the excavator machine type is 1200h. Through the above calculation, the cycle number of the side wall flat ground stone material working condition is 162000 times, the cycle number of the rotary loading working condition is 162000 times, and the cycle number of the walking climbing working condition is 41143 times.

[0082] S602, based on the time domain load spectrum of each machine type in different directions under the n working conditions, the impact response calculation is carried out to obtain the impact response spectrum of each machine type in different directions under the n working conditions, and the impact response spectrum is used to reflect the acceleration of the machine type under the corresponding frequency.

[0083] The application does not limit the specific implementation of the above impact response calculation, and for example, the application can perform feature extraction, filtering, etc. on the time-frequency load spectrum of each machine type in different directions under the n working conditions, thereby obtaining the corresponding processed load spectrum. In specific implementation, for example, the application can extract the time domain load spectrum in the frequency range of 1-100Hz, and perform feature extraction, filtering, etc. on the time domain load spectrum, thereby obtaining the corresponding processed load spectrum. Then, the processed load spectrum in different directions under each working condition is calculated, for example, a preset impact response formula can be used for calculation, thereby obtaining the impact response spectrum (Shock Response Spectrum, SRS) in different directions under each working condition. The above preset impact response formula can be pre-configured by the system, and the application does not make too many limitations and details. The above impact response spectrum can be used to reflect the acceleration of the machine type at different frequencies. In the application, each direction corresponds to a respective impact response spectrum, and different directions correspond to different impact response spectrums, for example, X, Y and Z three axis directions correspond to respective impact response spectrums, etc. The application does not make too many limitations and details.

[0084] S603, fatigue damage calculation is performed based on the impact response spectrum of each machine type in different directions under the n working conditions to obtain fatigue damage spectrum of each machine type in different directions under the n working conditions, which is used to reflect the damage value of the machine type at the corresponding frequency.

[0085] For each machine type, the fatigue analysis method can be used to perform fatigue damage calculation on the impact response spectrum SRS in different directions under the n working conditions, so as to obtain the fatigue damage spectrum (Fatigue Damage Spectrum, FDS) of each machine type in different directions under the n working conditions. The fatigue analysis method can be a method for engineering fatigue analysis, which can include but is not limited to, for example, rainflow counting method. Taking the rainflow counting method as an example of the fatigue analysis method, the rainflow counting method can be used to perform fatigue damage statistics on the impact response spectrum SRS in different directions under the n working conditions, to obtain the cumulative damage value at each frequency in different directions, and then generate the fatigue damage spectrum FDS in different directions. The fatigue damage spectrum FDS can be used to reflect the fatigue damage value of the machine type at different frequencies, that is, the cumulative damage value. The specific statistical implementation of the rainflow counting method is not limited and detailed herein.

[0086] S604, damage superposition is performed based on the cycle number of each machine type under the n working conditions, and the fatigue damage spectrum of each machine type in different directions under the n working conditions, to obtain the overall fatigue damage spectrum of each machine type in different directions.

[0087] For each machine type, the fatigue damage spectrum FDS in different directions under the n working conditions can be multiplied by the cycle number of each machine type under the n working conditions, and then superimposed to obtain the overall fatigue damage spectrum FDS of each machine type in different directions. Each direction corresponds to an overall fatigue damage spectrum, and different directions can correspond to different overall fatigue damage spectrums, which are not limited and detailed herein.

[0088] For example, taking the three working conditions of a certain model including side wall stone buckling, rotary loading and walking climbing as an example, the present application can multiply the fatigue damage spectrum FDS of the side wall stone buckling working condition in the X direction by the number of cycles of the side wall stone buckling working condition to obtain the first fatigue damage spectrum FDS. Multiply the fatigue damage spectrum FDS of the rotary loading working condition in the X direction by the number of cycles of the rotary loading working condition to obtain the second fatigue damage spectrum FDS. Multiply the fatigue damage spectrum FDS of the walking climbing working condition in the X direction by the number of cycles of the walking climbing working condition to obtain the third fatigue damage spectrum FDS. Finally, the first fatigue damage spectrum FDS, the second fatigue damage spectrum FDS and the third fatigue damage spectrum FDS are superimposed to obtain the overall fatigue damage spectrum FDS of the certain model in the X direction.

[0089] S403. Perform power spectrum conversion on the overall fatigue damage spectra of the m aircraft models in the different directions to obtain power spectrum densities of the m aircraft models in the different directions, where the power spectrum densities are used to reflect the power densities of the aircraft models at corresponding frequencies.

[0090] This application can convert the overall fatigue damage spectrum FDS of the above-mentioned m aircraft models in different directions into corresponding power spectrum density PSD based on the principle of consistency of fatigue damage before and after power spectrum conversion and the principle of the same load amplitude before and after conversion, thereby obtaining the power spectrum density PSD of the above-mentioned m aircraft models in different directions. The power spectrum density PSD can be used to reflect the power density of the aircraft model at different frequencies. Among them, there is a power spectrum density PSD corresponding to each direction, and different power spectrum density PSDs correspond to different directions. There is no limitation on the specific form of expression of the power spectrum density PSD of the above-mentioned m aircraft models in the same direction. For example, it can be represented by the same coordinate diagram, etc. This application does not make too many limitations and details on this.

[0091] For example, see Figure 7 This is a schematic diagram of the power spectrum density of three models in the X direction provided by an embodiment of the present application. Taking the three tonnage models of excavators including 37t, 55t and 87t as an example, Figure 7 The power spectrum density (PSD) of three tonnage models, 37t, 55t, and 87t, in the X direction is shown. The horizontal axis represents frequency, and the vertical axis represents power density.

[0092] S404 : Perform flattening processing based on the power spectrum densities of the m models in the different directions to obtain the envelope power spectrum densities corresponding to the different directions.

[0093] The application can perform flat processing on the power spectral densities PSD of the m models in different directions, so as to obtain an envelope power spectral density PSD having the power spectral densities of the m models in different directions. Each direction corresponds to an envelope power spectral density, and different directions can correspond to different envelope spectral densities. The envelope power spectral density PSD can comprehensively consider the loads of all models. Optionally, the difference between the area of the envelope power spectral density PSD and the area of each model power spectral density PSD is within a preset control range. The preset control range is set by the system in advance, which can be an experience range set according to user experience, or a statistical value calculated according to a series of experimental data, etc. For example, the preset control range can be [0, 15%], that is, the difference needs to be controlled below 15%.

[0094] For example, please refer to Figure 8 is a schematic diagram of an envelope power spectral density corresponding to three models in the X direction provided by an embodiment of the application. As shown in the figure, the horizontal axis represents frequency, and the vertical axis represents power density.

[0095] In step S103, the specific embodiments of the frequency response analysis are not limited, for example, please refer to Figure 9 is a flowchart of a frequency response analysis provided by an embodiment of the application. As Figure 9 shown, the flowchart can include the following implementation steps:

[0096] S901, modeling the cab to obtain a finite element model corresponding to the cab.

[0097] The application can perform finite element modeling on the cab and frame tooling in the vehicle, so as to obtain the corresponding finite element model. In specific implementation, in order to prevent the shock absorber from interfering with fatigue durability analysis, the application can use a rigid adapter / connection bracket to replace the shock absorber in the vehicle. It can be understood that the application can use a rigid adapter bracket to replace the original silicone shock absorber, which can eliminate the influence of the performance change of the shock absorber in subsequent bench tests, and is beneficial to improve the consistency between the simulation results and the test results, and improve the accuracy and reliability of fatigue durability analysis. Please refer to Figure 10is a structure diagram of rigid fixation of a cab provided by an embodiment of the present application. As shown in the figure, 1 represents a platform tool, 2 represents a cab bottom plate, 3 represents a rigid adapter support, 4 represents a nut, and 5 represents a gasket. Among them, the bolt mounting point is connected by a rigid rbe2 unit. The welding point is connected in the form of acm (general). The welding seam is simulated by a shell element. The body sheet metal and glass are simulated by a shell element. The bottom tool mounting point is coupled to a point by a rigid rbe2 unit, 1-6 degrees of freedom are constrained, and the corresponding finite element model of the cab is established. The present application does not make too much limitation and detail.

[0098] S902, frequency response analysis is performed on the finite element model to obtain the frequency response result.

[0099] The present application performs frequency response analysis on the above-mentioned finite element model, for example, sets the modal damping in the model to 0.06, the sweep size to 1g, and the sweep range to 1-100Hz, thereby calculating the corresponding frequency response result.

[0100] S104, fatigue simulation is performed based on the corresponding envelope power spectral density and the frequency response result to obtain a corresponding simulation result, the simulation result including the fatigue damage value of each component in the cab and / or the simulation fatigue life of the cab.

[0101] The present application can input the above-mentioned envelope power spectral density PSD in different directions and the above-mentioned frequency response result into fatigue simulation software, and optionally set corresponding simulation parameters in the software to perform fatigue simulation, thereby outputting the corresponding simulation result. Among them, the simulation parameters include but are not limited to, for example, material S-N curve, simulation confidence or other custom parameters, etc. It can be understood that, since the fatigue damage of the vehicle is affected by the processing technology, welding technology, material difference, etc., both the simulation result and the test result have certain dispersion. The present application can set a simulation confidence of 5%-95% according to the actual situation to perform fatigue simulation.

[0102] The simulation result of the present application can include the fatigue damage value of each component in the cab and / or the simulation fatigue life of the cab. In specific implementation, the present application can determine the life of the position with the maximum fatigue damage value in each component of the cab as the simulation fatigue life of the entire cab. Specifically, for example, the present application can calculate the simulation fatigue life of the cab based on the design service life of the corresponding vehicle model of the cab and the fatigue damage value with the largest value among the fatigue damage values of each component in the cab. The specific calculation formula can be shown in the following formula (2):

[0103]

[0104] Among them, S represents the simulation fatigue life. Ttotal = represents the design service life of the corresponding model of the cab. D represents the maximum fatigue damage value among the fatigue damage values ​​of the components of the cab.

[0105] Some optional embodiments of the present application are introduced below.

[0106] In some optional embodiments, the present application can perform bench tests based on the envelope power spectrum density corresponding to the above-mentioned different directions to obtain corresponding test results, and the test results include at least one of the cracking position, cracking time and bench test life of the cab.

[0107] The present application can adjust the bench test parameters of the cab based on the envelope power spectrum density in different directions, and then conduct bench tests to obtain corresponding test results. The test results may include, but are not limited to, any one or more of the following: for example, the crack location, crack time, bench test life, or other custom parameters of the cab during the test. The bench test life can be determined based on the crack time, for example, the crack time corresponding to the earliest / latest crack location is determined as the bench test life, etc. This application does not make too many restrictions or details on this.

[0108] In some other optional embodiments, the present application may determine the components with larger fatigue damage values ​​in the above-mentioned simulation results as risk locations. Specifically, for example, components with fatigue damage values ​​greater than preset damage values ​​in the simulation results may be determined as risk components / risk locations. The above-mentioned preset damage values ​​are pre-customized and set by the system, for example, they may be empirical values ​​set based on user experience, etc. Further optionally, the present application may compare the above-mentioned simulation results with the above-mentioned test results for consistency. Specifically, for example, the present application may compare the above-mentioned risk locations with the cracking locations in the above-mentioned test results one by one. If it is found that the above-mentioned risk locations and the above-mentioned cracking locations match / are consistent, it can be determined that the above-mentioned simulation results and the above-mentioned test results are consistent. On the contrary, if it is found that the above-mentioned risk locations and the above-mentioned cracking locations are inconsistent, it can be determined that the above-mentioned simulation results and the above-mentioned test results are inconsistent. The present application does not make too many restrictions or details on this.

[0109] In some further optional embodiments, the simulation confidence of the fatigue simulation is adjusted based on the bench test life and the simulated fatigue life, and the simulation confidence is used to reflect the reliability of the fatigue simulation.

[0110] The application can compare the bench test life and the simulation fatigue life. If the bench test life and the simulation fatigue life are quite different, for example, the difference between the bench test life and the simulation fatigue life is greater than or equal to a preset threshold, it indicates that the confidence level set in the simulation software is unreliable / has a large deviation, and then the application can adjust the simulation confidence level set in the simulation software to more accurately and reliably perform fatigue simulation analysis, which is beneficial to improving the accuracy and reliability of the cab fatigue durability analysis. On the contrary, if the bench test life and the simulation fatigue life are not quite different, for example, the difference between the bench test life and the simulation fatigue life is less than the preset threshold, it indicates that the confidence level set in the simulation software is relatively reliable, and then the application does not adjust the simulation confidence level. The preset threshold can be a system pre-defined setting, for example, an experience value set according to user experience, or a statistical value calculated according to a series of statistical data, etc. For example, Table 1 below shows a simulation confidence level diagram.

[0111] Table 1

[0112] Simulated confidence of calibration Fatigue life / h Bench test life / h Remarks Cab A1 95％ 10219 9486 Sheet metal construction Cab A2 95％ 13371 11881 Sheet metal construction Cab B1 65％ 42687 39525 Profile construction Cab B2 65％ 39998 42118 Profile construction

[0113] As shown in Table 1 above, two different structures of the cab are provided, for example, the structures of the cabs A1 and A2 are sheet metal structures, and the structures of the cabs B1 and B2 are profile structures. As shown in Table 1 above, different cab structures can correspond to different simulation confidence levels. For example, the simulation confidence level corresponding to the sheet metal structure can be 95%, and the simulation confidence level corresponding to the profile structure can be 65%, etc.

[0114] By implementing the embodiments of the application, the load spectrum of each of m models under n working conditions is obtained, the load spectrum is used to reflect the acceleration of the cab of different models under the corresponding working condition, and m and n are positive integers; the load spectrum of each of the m models under the n working conditions is subjected to envelope processing to obtain the corresponding envelope power spectrum density, and the envelope power spectrum density is used to reflect the load received by the m models; the cab is modeled and frequency response analysis is performed to obtain the corresponding frequency response result, and the frequency response result is used to reflect the response characteristics of the cab under different frequencies; fatigue simulation is performed based on the corresponding envelope power spectrum density and the frequency response result to obtain the corresponding simulation result, and the simulation result includes the fatigue damage value of each component in the cab and / or the simulation fatigue life of the cab. In this way, the load spectrum of different models under different working conditions can be considered comprehensively to perform cab fatigue durability analysis, which can not only solve the problem that the fatigue analysis accuracy is not high due to the inability to simulate / consider complex and variable working conditions in the prior art, but also be beneficial to improving the accuracy and reliability of fatigue analysis.

[0115] Based on the foregoing embodiments, please refer to Figure 11This is a schematic diagram of the structure of a cab fatigue durability analysis device provided by an embodiment of the present application. Figure 11 The device 1100 shown may include an acquisition module 1101 and a processing module 1102.

[0116] The acquisition module 1101 is used to obtain the load spectrum of m aircraft models under n working conditions, wherein the load spectrum is used to reflect the acceleration of the cab of different aircraft models under the corresponding working conditions, and m and n are both positive integers;

[0117] The processing module 1102 is configured to perform envelope processing on the load spectra of the m aircraft models under n working conditions to obtain corresponding envelope power spectrum densities, where the envelope power spectrum densities are used to reflect the loads on the m aircraft models.

[0118] The processing module 1102 is further configured to perform modeling and frequency response analysis on the cabs corresponding to the m aircraft models to obtain corresponding frequency response results, wherein the frequency response results are used to reflect the response characteristics of the cabs at different frequencies;

[0119] The processing module 1102 is further used to perform fatigue simulation based on the corresponding envelope power spectrum density and the frequency response result to obtain corresponding simulation results, wherein the simulation results include fatigue damage values ​​of various components in the cab and / or simulated fatigue life of the cab.

[0120] In some embodiments, the acquisition module 1101 is specifically configured to:

[0121] Determining sampling points according to the structure of the cab, the sampling points including sampling points at the connection between the cab and the frame before and after shock absorption;

[0122] Based on the collection points and the preset number of cycles, the load spectra of the m machine models under n working conditions are collected, and the preset number of cycles is used to reflect the collection time corresponding to the load spectra.

[0123] In some embodiments, the processing module 1102 is specifically configured to:

[0124] Performing interception processing on the load spectra of each of the m aircraft models under the n working conditions to obtain time domain load spectra of the m aircraft models in different directions under the n working conditions, wherein the time domain load spectra are used to reflect accelerations at different times;

[0125] Performing overall fatigue damage calculation based on the time-domain load spectra of the m aircraft models in different directions under the n working conditions to obtain overall fatigue damage spectra of the m aircraft models in the different directions, wherein the overall fatigue damage spectrum is used to reflect the fatigue damage value of the aircraft model at the corresponding frequency;

[0126] perform power spectrum conversion on the overall fatigue damage spectrum of the m models in the different directions to obtain power spectrum densities of the m models in the different directions, the power spectrum densities being used to reflect power densities of the models at corresponding frequencies;

[0127] perform flat processing based on the power spectrum densities of the m models in the different directions to obtain the envelope power spectrum densities corresponding to the different directions.

[0128] In some embodiments, the processing module 1102 is specifically configured to:

[0129] based on the time proportion of each model in the n working conditions and the design service life of each model, calculate the cycle number of each model in the n working conditions, the time proportion being used to indicate the working proportion of the corresponding working condition in the acquisition time length corresponding to the load spectrum, and the cycle number being used to indicate the working number of the corresponding cycle in the acquisition time length;

[0130] based on the time-domain load spectrum of each model in the n working conditions in different directions, perform impact response calculation to obtain the impact response spectrum of each model in the n working conditions in different directions, the impact response spectrum being used to reflect the acceleration of the model at the corresponding frequency;

[0131] based on the impact response spectrum of each model in the n working conditions in different directions, perform fatigue damage calculation to obtain the fatigue damage spectrum of each model in the n working conditions in different directions, the fatigue damage spectrum being used to reflect the damage value of the model at the corresponding frequency;

[0132] based on the cycle number of each model in the n working conditions and the fatigue damage spectrum of each model in the n working conditions in different directions, perform damage superposition to obtain the overall fatigue damage spectrum of each model in the different directions.

[0133] In some embodiments, the processing module 1102 is specifically configured to:

[0134] model the cab to obtain a finite element model corresponding to the cab;

[0135] perform frequency response analysis on the finite element model to obtain the frequency response result.

[0136] In some embodiments, the processing module 1102 is further configured to:

[0137] based on the envelope power spectrum density, perform a bench test to obtain a corresponding test result, the test result at least including one of a cracking position, a cracking time and a bench test life of the cab.

[0138] In some embodiments, the processing module 1102 is further configured to:

[0139] Adjust a simulation confidence of the fatigue simulation based on the bench test life and the simulation fatigue life, the simulation confidence being used to reflect a reliability of the fatigue simulation.

[0140] In some embodiments, the simulation fatigue life is determined based on a design service life of a corresponding model of the cab, and a fatigue damage value of each component in the cab.

[0141] In some embodiments, the cab adopts a rigid adapter bracket instead of a shock absorber.

[0142] In some embodiments, the working conditions include side wall stone anchoring material, rotary loading, or walking climbing.

[0143] Referring to Figure 12 is a structural schematic diagram of a computer device provided by another embodiment of the present application. As Figure 12 indicated, the computer device can be a vehicle (such as an excavator), a mobile phone, a computer, a digital broadcast terminal, a messaging device, a game console, a tablet device, a medical device, a fitness device, a personal digital assistant, etc. The computer can be applied to various vehicles, such as excavators, etc.

[0144] Referring to Figure 12 , the device 1200 can include one or more of the following components: a processing component 1202, a memory 1204, a power supply component 1206, a multimedia component 1208, an audio component 1210, an input / output (I / O) interface 1212, a sensor component 1214, and a communication component 1216.

[0145] The processing component 1202 usually controls overall operations of the device 1200, such as operations associated with displaying, making phone calls, data communications, camera operations, and recording operations. The processing component 1202 can include one or more processors 1220 to execute instructions to complete all or part of the steps of the cab fatigue durability analysis method described above. In addition, the processing component 1202 can include one or more modules to facilitate interaction between the processing component 1202 and other components. For example, the processing component 1202 can include a multimedia module to facilitate interaction between the multimedia component 1208 and the processing component 1202.

[0146] The memory 1204 is configured to store various types of data to support operations of the device 1200. Examples of these data include instructions for any application or method operating on the device 1200, contact data, phonebook data, messages, pictures, videos, and the like. The memory 1204 can be implemented by any type of volatile or nonvolatile memory, or a combination thereof such as static random access memory (SRAM), electrically erasable programmable read only memory (EEPROM), erasable programmable read only memory (EPROM), programmable read only memory (PROM), read only memory (ROM), magnetic memory, flash memory, magnetic disc or optical disc.

[0147] The power supply component 1206 supplies electrical power for the various components of the device 1200. The power supply component 1206 can include a power management system, one or more power supplies, and other components associated with generating, managing, and distributing electrical power for the device 1200.

[0148] The multimedia component 1208 includes a screen providing an output interface between the device 1200 and a user. In some embodiments, the screen can include a liquid crystal display (LCD) and a touch panel (TP). If the screen includes a touch panel, the screen can be implemented as a touch screen to receive input signals from a user. The touch panel includes one or more touch sensors to sense touch, swiping, and gestures on the touch panel. The touch sensors can not only sense a boundary of a touch or swiping action, but also detect duration and pressure associated with the touch or swiping action. In some embodiments, the multimedia component 1208 includes a front camera and / or a rear camera. The front and / or rear camera can receive external multimedia data when the device 1200 is in an operating mode, such as a shooting mode or a video mode. Each of the front and rear camera can be a fixed optical lens system or have a focal length and optical zoom capability.

[0149] The audio component 1210 is configured to output and / or input audio signals. For example, the audio component 1210 includes a microphone (MIC) configured to receive external audio signals when the device 1200 is in an operating mode, such as a call mode, a recording mode, and a voice recognition mode. The received audio signals can be further stored in the memory 1204 or transmitted via the communication component 1216. In some embodiments, the audio component 1210 also includes a speaker for outputting audio signals.

[0150] The input / output interface 1212 provides an interface between the processing component 1202 and peripheral interface modules, which can be a keyboard, a click wheel, buttons, and the like. The buttons can include, but are not limited to, a home button, a volume button, a start button, and a lock button.

[0151] The sensor component 1214 includes one or more sensors for providing status assessments for various aspects of the device 1200. For example, the sensor component 1214 can detect an open / closed position of the device 1200, relative positioning of components of the device 1200, such as a display and keypad of the device 1200, a change in position of the device 1200 or a component of the device 1200, presence or absence of user contact with the device 1200, orientation or acceleration / deceleration of the device 1200, and temperature changes of the device 1200. The sensor component 1214 can include proximity sensor(s) configured to detect presence of objects in a proximity without any physical contact. The sensor component 1214 can also include a light sensor, such as a CMOS or CCD image sensor, for use in imaging applications. In some embodiments, the sensor component 1214 can also include an acceleration sensor, a gyroscope sensor, a magnetic sensor, a pressure sensor, or a temperature sensor.

[0152] The communication component 1216 is configured to facilitate wired or wireless communication between the device 1200 and another device. The device 1200 can access a wireless network based on a communication standard, such as WiFi, 2G, or 3G, or a combination thereof. In an exemplary embodiment, the communication component 1216 receives broadcast signals or broadcast-related information from external broadcast management systems via a broadcast channel. In an exemplary embodiment, the communication component 1216 further includes a Near Field Communication (NFC) module to facilitate short-range communication. For example, the NFC module can be implemented based on Radio Frequency Identification (RFID) techniques, infrared data association (IrDA) techniques, ultra-wideband (UWB) techniques, Bluetooth (BT) techniques, and other techniques.

[0153] In exemplary embodiments, the device 1200 can be implemented with one or more application-specific integrated circuits (ASICs), digital signal processors (DSPs), digital signal processing devices (DSPDs), programmable logic devices (PLDs), field programmable gate arrays (FPGAs), controllers, micro-controllers, microprocessors, other electronic units, or a combination thereof, for performing the above-described cab fatigue durability analysis method.

[0154] Understandably, the processor 1220 in the embodiments of the present application can be an integrated circuit chip having a signal processing capability. In the implementation process, each step of the above method embodiments can be completed by the integrated logic circuit of hardware in the processor or the instruction in the form of software. The processor mentioned above can be a general processor, a digital signal processor (Digital Signal Processor, DSP), an application specific integrated circuit (Application Specific Integrated Circuit, ASIC), a field programmable gate array (Field Programmable Gate Array, FPGA) or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components.

[0155] Understandably, the memory 1204 in the embodiments of the present application can be a volatile memory or a non-volatile memory, or can include both volatile and non-volatile memories. Among them, the non-volatile memory can be a read-only memory (read-only memory, ROM), a programmable read-only memory (programmable ROM, PROM), an erasable programmable read-only memory (erasable PROM, EPROM), an electrically erasable programmable read-only memory (electrically EPROM, EEPROM) or a flash memory. The volatile memory can be a random access memory (random access memory, RAM) used as an external cache. By way of example but not limitation, many forms of RAM are available, such as static random access memory (static RAM, SRAM), dynamic random access memory (dynamic RAM, DRAM), synchronous dynamic random access memory (synchronous DRAM, SDRAM), double data rate synchronous dynamic random access memory (double data rate SDRAM, DDR SDRAM), enhanced synchronous dynamic random access memory (enhanced SDRAM, ESDRAM), synchronous link dynamic random access memory (synchlink DRAM, SLDRAM) and direct memory bus random access memory (direct rambus RAM, DR RAM). It should be noted that the memory of the system and method described herein is intended to include but not limited to these and any other suitable types of memory.

[0156] In an example embodiment, a non-transitory computer-readable storage medium, such as the memory 1204 including instructions, is also provided, which can be executed by the processor 1220 of the device 1200 to implement the above-mentioned cab fatigue durability analysis method. For example, the non-transitory computer-readable storage medium can be a ROM, a random access memory (RAM), a CD-ROM, a magnetic tape, a floppy disk, and an optical data storage device, etc.

[0157] The apparatus described above can be an independent electronic device, or a part of an independent electronic device, such as an integrated circuit (IC) or a chip in an example embodiment. The integrated circuit can be one IC or a collection of multiple ICs. The chip can include, but is not limited to, a GPU (Graphics Processing Unit), a CPU (Central Processing Unit), a FPGA (Field Programmable Gate Array), a DSP (Digital Signal Processor), an ASIC (Application Specific Integrated Circuit), a SOC (System on Chip), and the like. The integrated circuit or chip can execute executable instructions (or code) to implement the cab fatigue durability analysis method described above. The executable instructions can be stored in the integrated circuit or chip, or obtained from other devices or apparatuses, such as a processor, a memory, and an interface for communication with other devices included in the integrated circuit or chip. The executable instructions can be stored in the memory and executed by the processor to implement the cab fatigue durability analysis method described above. Alternatively, the integrated circuit or chip can receive the executable instructions through the interface and transmit the executable instructions to the processor for execution to implement the cab fatigue durability analysis method described above.

[0158] In another example embodiment, a computer program product is also provided, which contains a computer program executable by a programmable apparatus, and the computer program has code portions for performing the cab fatigue durability analysis method described above when executed by the programmable apparatus.

[0159] It should be noted that the description of the above storage medium and device embodiments is similar to the description of the above method embodiments, and has similar beneficial effects as the method embodiments. For technical details not disclosed in the storage medium, storage medium and device embodiments of the present disclosure, please refer to the description of the method embodiments of the present disclosure for understanding.

[0160] Other embodiments of the present disclosure will be apparent to those skilled in the art from consideration of the specification and practice of the present disclosure. The present disclosure is intended to cover any variations, uses or adaptations of the present disclosure following the general principles thereof and including such departures from the present disclosure that come within known

[0161] The above only describes the preferred embodiments of the present application and is not used to limit the present application. Any modification, equivalent replacement, etc. made within the spirit and principle of the present application shall be included in the protection scope of the present application.

Claims

1. A cab fatigue durability analysis method, characterized in that: include: Obtaining load spectra of m aircraft models under n working conditions, wherein the load spectra are used to reflect the acceleration of the cabs of different aircraft models under the corresponding working conditions, where m and n are both positive integers; Performing envelope processing on the load spectra of the m aircraft models under n working conditions to obtain corresponding envelope power spectrum densities, where the envelope power spectrum densities are used to reflect the loads on the m aircraft models; Modeling and frequency response analysis are performed on the cabs corresponding to the m aircraft models to obtain corresponding frequency response results, where the frequency response results are used to reflect the response characteristics of the cabs at different frequencies; Fatigue simulation is performed based on the corresponding envelope power spectrum density and the frequency response result to obtain corresponding simulation results, which include fatigue damage values ​​of various components in the cab and / or simulated fatigue life of the cab.

2. The method according to claim 1, characterized in that The obtaining of the load spectra of m aircraft models under n working conditions includes: Determining sampling points according to the structure of the cab, the sampling points including sampling points at the connection between the cab and the frame before and after shock absorption; Based on the collection points and the preset number of cycles, the load spectra of the m machine models under n working conditions are collected, and the preset number of cycles is used to reflect the collection time corresponding to the load spectra.

3. The method according to claim 1, characterized in that The envelope processing is performed on the load spectra of the m aircraft models under n working conditions to obtain the envelope power spectrum density corresponding to the m aircraft models, including: Performing interception processing on the load spectra of each of the m aircraft models under the n working conditions to obtain time domain load spectra of the m aircraft models in different directions under the n working conditions, wherein the time domain load spectra are used to reflect accelerations at different times; Performing overall fatigue damage calculation based on the time-domain load spectra of the m aircraft models in different directions under the n working conditions to obtain overall fatigue damage spectra of the m aircraft models in the different directions, wherein the overall fatigue damage spectrum is used to reflect the fatigue damage value of the aircraft model at the corresponding frequency; Performing power spectrum conversion on the overall fatigue damage spectra of the m aircraft models in the different directions to obtain power spectrum densities of the m aircraft models in the different directions, where the power spectrum densities are used to reflect the power densities of the aircraft models at corresponding frequencies; The power spectrum densities of the m models in the different directions are flattened to obtain the envelope power spectrum densities corresponding to the different directions.

4. The method according to claim 3, characterized in that The overall fatigue damage calculation is performed based on the time domain load spectra of the m aircraft models in different directions under the n working conditions to obtain the overall fatigue damage spectra of the m aircraft models in the different directions, including: Based on the time proportion of each aircraft model under the n operating conditions and the design service life of each aircraft model, the number of cycles of each aircraft model under the n operating conditions is calculated, where the time proportion indicates the proportion of the work of the corresponding operating condition within the collection time corresponding to the load spectrum, and the number of cycles indicates the number of work cycles of the corresponding operating condition within the collection time; Performing shock response calculations based on the time-domain load spectra of each aircraft model in different directions under the n operating conditions to obtain shock response spectra of each aircraft model in different directions under the n operating conditions, wherein the shock response spectra are used to reflect the acceleration of the aircraft model at the corresponding frequency; Perform fatigue damage calculation based on the impact response spectrum of each aircraft model in different directions under the n working conditions, and obtain a fatigue damage spectrum of each aircraft model in different directions under the n working conditions, wherein the fatigue damage spectrum is used to reflect the damage value of the aircraft model at the corresponding frequency; Based on the number of cycles of each of the n working conditions of each aircraft model and the fatigue damage spectrum of each aircraft model in different directions under the n working conditions, damage superposition is performed to obtain the overall fatigue damage spectrum of each aircraft model in the different directions.

5. The method according to claim 1, wherein The modeling and frequency response analysis of the cabs corresponding to the m aircraft models to obtain corresponding frequency response results include: Modeling the cab to obtain a finite element model corresponding to the cab; Performing frequency response analysis on the finite element model to obtain the frequency response result.

6. The method according to any one of claims 1 to 5, characterized in that The method further comprises: A bench test is performed based on the envelope power spectrum density to obtain corresponding test results, wherein the test results include at least one of a cracking position, a cracking time, and a bench test life of the cab.

7. The method according to claim 6, characterized in that The method further comprises: The simulation confidence of the fatigue simulation is adjusted based on the bench test life and the simulated fatigue life, and the simulation confidence is used to reflect the reliability of the fatigue simulation.

8. The method according to claim 7, characterized in that The simulated fatigue life is determined based on the design service life of the corresponding model of the cab and the fatigue damage value with the largest value among the fatigue damage values ​​of the components in the cab.

9. The method according to any one of claims 1 to 5, characterized in that The cab adopts a rigid adapter bracket instead of a shock absorber.

10. A cab fatigue durability analysis device, characterized in that: include: An acquisition module is used to obtain the load spectrum of each of m aircraft models under n working conditions, wherein the load spectrum is used to reflect the acceleration of the cab of different aircraft models under the corresponding working conditions, and m and n are both positive integers; a processing module, configured to perform envelope processing on the load spectra of the m aircraft models under n working conditions to obtain corresponding envelope power spectrum densities, wherein the envelope power spectrum densities are used to reflect the loads on the m aircraft models; The processing module is further configured to perform modeling and frequency response analysis on the cabs corresponding to the m aircraft models to obtain corresponding frequency response results, wherein the frequency response results are used to reflect the response of the cabs under different frequencies and loads; The processing module is further used to perform fatigue simulation based on the corresponding envelope power spectrum density and the frequency response result to obtain corresponding simulation results, wherein the simulation results include fatigue damage values ​​of various components in the cab and / or simulated fatigue life of the cab.

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