Abstract
When agricultural vehicles operate in the field, the soft road excitation makes it difficult to measure the vehicle vibration. A camera-accelerator system can solve this issue by utilizing computer vision information; however, the relationship between the field road surface and the vehicle vibration response remains an unsolved problem. This study aims to investigate the correlation of the soft road excitation of different long-wave surfaces with the vehicle vibration response. Vibration equation between the vehicle and soft road surface system was established to produce an effective roughness model of the field soft road surface. In order to simulate the vehicle vibration state under different long-wave road surfaces, the soil rectangular pits with 21 kinds of different spans and depths were applied to the road surfaces, and a tractor vibration test system was built for vibration test. The frequency spectrum analysis was performed for the vibration response and the roughness signals of the road surfaces. The results showed that coefficient (R2) of frequency correlation between the roughness excitation and the original unevenness at the excitation point at the rear end of the rectangular soil pit fell within 0.9641∼0.9969. The main frequency band of the vibration response fell within 0∼3 Hz, and the phenomenon of quadruple frequency existed. The correlation of roughness excitation with quadruple frequency fell within 0.992165∼1. The primary excitation points were located at the rear end of the rectangular soil pit. In addition, it also indicated that when the vehicle was driven without autonomous power, the vehicle vibration frequency mainly depended on the excitation frequency of the field road surface and the frequency at the maximum vehicle vibration intensity was 2 or 3 times of that at the maximum field soft road excitation. These findings may provide a reference for optimal design of vibration reduction and control for agricultural vehicles.
Highlights
In recent years, agricultural mechanization in china has been improved to a new higher level, followed by an increase in the application of agricultural vehicles [1]
As the road surface will be compressed and deformed during the vehicle is driven in the field, a wheel envelope will be formed on the soft road surface if it is featured with short wavelength. is will increase the relative damping between wheel and ground to form buffer [6], making it difficult to cause vehicle vibration. erefore, long-wave road surface in field is an important factor causing vehicle vibration [7]. us, it is of practical significance to exploring the correlation between different excitation features of long-wave road surface and vehicle vibration response
The constructed rectangular pit pavement is used to simulate the field soft pavement with different wavelengths, and the test is carried out in combination with the vibration test system. e effective roughness model is established through the vibration equation of the vehicleground system, and the effective roughness of soft pavement is obtained, which is used as the excitation characteristic of pavement
Summary
Agricultural mechanization in china has been improved to a new higher level, followed by an increase in the application of agricultural vehicles [1]. Vehicle vibration will be caused by soil excitation during its operation, which will cause damage of parts, reduce the service life of vehicles [2], and cause damage to the drivers body [3]. As the road surface will be compressed and deformed during the vehicle is driven in the field, a wheel envelope will be formed on the soft road surface if it is featured with short wavelength. Us, it is of practical significance to exploring the correlation between different excitation features of long-wave road surface and vehicle vibration response. Domestic scholars call displacement excitation of soft road surface to wheels in the form of a certain roughness as effective roughness. E empirical formula of effective roughness was obtained by combining the features of soil and wheels [20] A set of soft road surface roughness test device was designed for measuring original roughness, effective roughness, and rutting roughness [18]. e empirical formula of effective roughness was obtained by combining the features of soil and wheels [20]
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