Abstract detail

ID / Created Time

170 / 2021-03-31 17:20:29

Title

Perceiving Excitation Characteristics from Interactions between Field Road and Vehicle via Vibration Sensing

Keywords

Field soft road surface; Effective roughness; Modal parameter identification; Power spectral density; Vehicle vibration

Track/Subject

Vibration Testing and Sensing techniques

Status

Draft Paper Accepted

Author

Yuansheng Cheng / Vehicle - ground mechanics

Xiaoqin Li / Tarim university

Abstract

This Paper mainly studied the correlation of road excitation of different long-wave field road surfaces with vehicle vibration response. Vibration equation between vehicle and soft road surface system was established to work out effective roughness model of field soft road surface. The results showed that coefficient (R²) of frequency correlation between effective roughness excitation and the original unevenness at the excitation point at rear end of rectangular soil pit fell within 0.9641~0.9969. The main frequency band of vibration response fell within 0~3Hz, and phenomenon of quadruple frequency existed. The coefficient (R²) of its correlation with quadruple frequency of effective roughness excitation fell within 0.992165~1. The vibration acceleration response has maximum power value at double or triple frequency, at which, effective roughness has the largest fundamental frequency amplitude. It showed that rear end of rectangular soil pit was the main excitation point, and verified the validity to solve effective roughness. In addition to this, it also indicated that when vehicle was driven in field without autonomous power, vehicle vibration frequency mainly depended on excitation frequency of field road surface; and that frequency at maximum vehicle vibration intensity was 2 or 3 folds of the frequency at maximum field soft road excitation. This Paper provided a reference for design of agricultural machinery shock absorption and prediction of roughness excitation of field soft road surface.

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Important Dates

Abstract Submission Deadline：

~~31st March~~ ~~2021~~ ~~15th April 2021~~

Extended Deadline: 1st Aug. 2022

Abstract Acceptance:

~~30th April 2021~~ Rollover

Full Paper Submission Deadline：

~~30th June 2021~~ ~~14th July 2021~~

Extended Deadline: 15th Aug. 2022

Notification of Acceptance:

~~15th August 2021 1st Sept. 2021~~

1st Sept. 2022

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