Abstract detail

40 / 2021-03-26 07:35:18
Signal Simulation of Stochastic Road Excitation
vehicle vertical vibration; suspension system design; stochastic road excitation; parameters optimization
Vehicle System dynamics and Control
Draft Paper Accepted
Daoyu Shen / University of Technology Sydney
Paul Walker / University of Technology Sydney
Shilei Zhou / University of Technology Sydney
Nong Zhang / University of Technology Sydney
Abstract: Road excitation simulation plays an important role in vehicle design industry, especially in suspension system development. The accuracy of the road signal is critical to the success of the simulation. This paper provides an optimized solution on creating a stochastic road signal simulation which is in line with industrial standard. In this paper, the signal design is based on random vibration theory with adjustable white noise power, and a Welch’s method has been implemented instead of FFT to obtain the estimated power spectral density of the signal. To achieve a better result from the simulation, a study has been spread out to work out the relationship between the variance of the parameters of Welch’s method and the performance of the simulation. Then a certain group of parameters from Welch’s method and noise power can be finalized to present an optimized fitting result comparing with the industrial standard. In a sum, the road excitation simulation that has been established through above process can provide a reliable signal that contributes to a further vehicle design.

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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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