Passing Ability Impact Factors Simulation of Articulated Vehicle with 6×4 Tractor

H. Zhang; H.W. Zhang; J.Q. Yang

doi:10.4028/www.scientific.net/AMM.743.467

Paper Titles

Method for Evaluation of Railway Dynamic Safety Based on 5M Model and Neural Network Algorithm
p.445

Development of Prediction Models for Particle Size Composition on Urban Road Surfaces
p.450

2-D DOA Estimation of Quasi-Stationary Signals via Tensor Modeling
p.458

Passing Ability Evaluation and Impact Factors Analysis of Articulated Vehicle with 6×4 Tractor
p.463

Passing Ability Impact Factors Simulation of Articulated Vehicle with 6×4 Tractor
p.467

The Research of DOA Estimation Algorithms in the Conformal Array Antenna
p.471

A Sound Localization Algorithm Based on Helmet-Mounted Microphone Array Using the High-Frequency Intensity Difference
p.474

Research of HRTF Character of Head-Mounted Microphone Array
p.479

A Method for Correction Ranging of Train Based on RSSI
p.484

HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vol. 743Passing Ability Impact Factors Simulation of...

Passing Ability Impact Factors Simulation of Articulated Vehicle with 6×4 Tractor

Abstract:

Passing ability of articulated vehicles is analyzed, which are combined of different 6×4 tractors and different semitrailers. According to the requirements of GB 1589, the passing ability of different structure articulated vehicles are simulated using AutoTURN. In order to analyze the passing ability impact factor of articulated vehicles in type and structure, simulation analysis is used to study how the tractor front overhang, the distance between center of tractor fifth wheel and the tractor first axle, and the semitrailer first wheel space impact on the passing ability. Reasonable suggestions are proposed by analyzing how the changes of parameters impact on the passing ability. The validity of the simulation model is validated by the test. The results serve as a useful reference for optimizing the articulated vehicle passing ability and promoting the development of vehicle industry technology.

You might also be interested in these eBooks

View Preview

Info:

Periodical:

Applied Mechanics and Materials (Volume 743)

Pages:

467-470

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.743.467

Citation:

Cite this paper

Online since:

March 2015

Authors:

H. Zhang, H.W. Zhang, J.Q. Yang

Keywords:

Articulated Vehicle, AutoTURN, Impact Factors, Passing Ability, Simulation Analysis

Export:

RIS, BibTeX

Price:

Permissions CCC:

Request Permissions

Permissions PLS:

Request Permissions

Сopyright:

Citation:

References

[1] Juan LI, Sheng-xin CHE. Understanding and analysis of GB 1589-2004 Limits of dimensions, axle load and masses for road vehicles, [J]. Machinery Industry Standardization & Quality, 2005. 4, 4-7.

Google Scholar

[2] AutoTURN 9. 0 | The world's most widely used swept path analysis software [EB/OL], http: /www. transoftsolutions. com/autoturn.

Google Scholar

[3] Li ZHENG, Zi-jian BAI, Wei ZHAO. AutoTURN applications in engineering [J], Science & Technology Information, 2012. 20.

Google Scholar

[4] Zhi-wei REN. Intelligent road design[J]. Intelligent Building & City Information, 2006. 01.

Google Scholar

[5] GB 1589-2004. Limits of dimensions, axle load and masses for road vehicles [S].

Google Scholar

[6] Zheng-kang GUO, Modern Combination Vehicles Design and Use [M], Beijing, Beijing Institute of Technology Press, Jun. (2009).

Google Scholar