Road Roughness Effects on Vehicle Dynamics

Random road profiles and wheelbase filtering, both of which strongly affect vehicle dynamic performance characteristics, have been explored in many studies. These studies invariably focused on either characterizing road roughness or vehicle dynamics considering wheelbase filtering effect. No effort, however, has been attempted to characterize road roughness profiles upon considering vehicle wheelbase filtering effect, and then to investigate their combined roles on vehicle dynamic responses. In this study, characteristics of different random road profiles are investigated upon considering wheelbase filtering effect. Two vehicle models, including quarter-car and pitch-plane models, are then employed to analyze the combined influence of random road roughness and wheelbase filtering on vehicle dynamics. The simulation results reveal the significant difference between the characteristics of random road profiles with and without wheelbase filtering effect. The results further demonstrate that wheelbase filtering has a positive effect on vehicle vertical ride, with a negligible or small compromise on suspension travel and dynamic tire deflection.

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Modal shape identification for short and medium span bridges using wavelet based vehicular sensing approach

IABSE Congress, Christchurch 2021: Resilient technologies for sustainable infrastructure ◽

10.2749/christchurch.2021.0567 ◽

2021 ◽

Author(s):

Xudong Jian ◽

Limin Sun ◽

Ye Xia

Keyword(s):

Dynamic Responses ◽

Modal Parameter ◽

Roughness Effects ◽

Modal Shape ◽

Shape Identification ◽

Modal Parameter Identification ◽

Road Roughness ◽

Moving Vehicles ◽

Key Issues ◽

Vehicular Sensing

<p>Modal parameter identification has been one of the key issues in the research of indirect bridge structural health monitoring. This paper presents a new indirect approach identifying modal parameters for short and medium span bridges, using dynamic responses of three connected vehicles. Accelerations of these vehicles are firstly subtracted to eliminate road roughness effects, so that the bridge frequency visibility in the frequency domain is improved. The wavelet analysis is performed to identify modal frequencies and shapes of bridges from the subtracted acceleration of moving vehicles. Systematic numerical experiments are performed to investigate the fidelity of the approach. Results show that the proposed approach can identify the bridge modal frequencies and shapes with promising accuracy and robustness.</p>

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Mechanistic Roughness Model Based on Vehicle-Pavement Interaction

Transportation Research Record Journal of the Transportation Research Board ◽

10.3141/1699-16 ◽

2000 ◽

Vol 1699 (1) ◽

pp. 114-120 ◽

Cited By ~ 11

Author(s):

Mofreh F. Saleh ◽

Michael S. Mamlouk ◽

Emmanuel B. Owusu-Antwi

Keyword(s):

Vehicle Dynamics ◽

Performance Model ◽

Dynamic Force ◽

The Road ◽

Pavement Roughness ◽

Roughness Model ◽

Road Roughness ◽

Dynamic Forces ◽

Force Profile ◽

Level Performance

A mechanistic roughness performance model that takes into account vehicle dynamics was developed for use in flexible pavement design and evaluation. The model was developed in the form of a relation between roughness and number of load repetitions, axle load, and asphalt layer thickness. The model is completely mechanistic and uses vehicle dynamics analysis to estimate the dynamic force profile and finite element structural analysis to estimate the change of pavement surface roughness for each load repetition. The model makes use of the fact that pavement roughness changes the magnitude of the vehicle dynamic forces applied on the pavement and that the dynamic forces change the road roughness. The developed mechanistic roughness performance model can be used to estimate the 80-kN (18-kip) equivalent single-axle load for mixed traffic. The model can also be used to design pavement so that it will last for a certain number of load repetitions before reaching a predetermined roughness level. Performance-based specifications can be developed using the methodology presented in this study. The model has been calibrated and verified with field data elsewhere.

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An evaluation of road roughness and the effects on riding comfort and vehicle dynamics.

Doboku Gakkai Ronbunshu ◽

10.2208/jscej.1985.359_137 ◽

1985 ◽

pp. 137-147 ◽

Cited By ~ 1

Author(s):

Akira KAWAMURA ◽

Terutoshi KAKU

Keyword(s):

Vehicle Dynamics ◽

Road Roughness

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Some examples of pilot/vehicle dynamics identified from flight test records

PsycEXTRA Dataset ◽

10.1037/e506132009-004 ◽

1970 ◽

Author(s):

Rodney C. Wingrove ◽

Frederick G. Edwards ◽

Armando E. Lopez

Keyword(s):

Vehicle Dynamics ◽

Flight Test

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Multi-axis pilot-vehicle dynamics

PsycEXTRA Dataset ◽

10.1037/e506142009-008 ◽

1974 ◽

Author(s):

Edward D. Onstott

Keyword(s):

Vehicle Dynamics

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Enhanced Fixed Wing UAV Navigation in Extended GNSS Outages using a Vehicle Dynamics Model and Raw GNSS Observables

Proceedings of the 32nd International Technical Meeting of the Satellite Division of The Institute of Navigation (ION GNSS+ 2019) ◽

10.33012/2019.17056 ◽

2019 ◽

Author(s):

Hery A. Mwenegoha ◽

Terry Moore ◽

James Pinchin ◽

Mark Jabbal

Keyword(s):

Vehicle Dynamics ◽

Dynamics Model ◽

Uav Navigation

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A Modified Dugoff Tire Model for Combined-slip Forces

Tire Science and Technology ◽

10.2346/1.3481696 ◽

2010 ◽

Vol 38 (3) ◽

pp. 228-244 ◽

Cited By ~ 19

Author(s):

Nenggen Ding ◽

Saied Taheri

Keyword(s):

Vehicle Dynamics ◽

Tire Model ◽

Magic Formula ◽

Model Based ◽

Proposed Model ◽

Road Friction ◽

On Line ◽

Double Lane Change ◽

Tire Forces ◽

Tire Models

Abstract Easy-to-use tire models for vehicle dynamics have been persistently studied for such applications as control design and model-based on-line estimation. This paper proposes a modified combined-slip tire model based on Dugoff tire. The proposed model takes emphasis on less time consumption for calculation and uses a minimum set of parameters to express tire forces. Modification of Dugoff tire model is made on two aspects: one is taking different tire/road friction coefficients for different magnitudes of slip and the other is employing the concept of friction ellipse. The proposed model is evaluated by comparison with the LuGre tire model. Although there are some discrepancies between the two models, the proposed combined-slip model is generally acceptable due to its simplicity and easiness to use. Extracting parameters from the coefficients of a Magic Formula tire model based on measured tire data, the proposed model is further evaluated by conducting a double lane change maneuver, and simulation results show that the trajectory using the proposed tire model is closer to that using the Magic Formula tire model than Dugoff tire model.

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