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  • JVE International Ltd.  (3)
  • English  (3)
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  • JVE International Ltd.  (3)
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  • English  (3)
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  • 1
    Online Resource
    Online Resource
    JVE International Ltd. ; 2020
    In:  Vibroengineering PROCEDIA Vol. 33 ( 2020-10-19), p. 147-152
    In: Vibroengineering PROCEDIA, JVE International Ltd., Vol. 33 ( 2020-10-19), p. 147-152
    Abstract: Based on the results of model and algorithm in Part1 for searching the optimal design parameters of vehicle suspensions using genetic algorithm, in Part 2, the simulation results with MATLAB Simulink combined with an optimal program are written to search the optimal design parameters of vehicle air suspension systems in two optimal conditions. The optimal results indicate that the DLC values at all axles of vehicle respectively reduce by 9.09 %, 10.71 %, 11.11%, 10.81 %, 8.82 % (in Case 1) and 14.29 %, 19.23 %, 20.00 %, 17.14 %, 12.12 % (in Case 2) in comparison with the original air suspension systems when vehicle moves on the ISO class C road surface at v = 20 m/s and full load. All these things indicate that using the genetic algorithm optimization method does not only reduce the tire dynamic loads acting on road surface but also improves the ride comfort. Finally, the optimum performance of vehicle suspension systems is considered and reassessed under different operating conditions. The evaluation results indicate that the optimum performance of the air suspension systems has better potential to improve the road friendliness which provides a ride comfort for road surfaces and vehicle.
    Type of Medium: Online Resource
    ISSN: 2345-0533 , 2538-8479
    Language: English
    Publisher: JVE International Ltd.
    Publication Date: 2020
    detail.hit.zdb_id: 2938866-1
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  • 2
    Online Resource
    Online Resource
    JVE International Ltd. ; 2020
    In:  Vibroengineering PROCEDIA Vol. 33 ( 2020-10-19), p. 72-77
    In: Vibroengineering PROCEDIA, JVE International Ltd., Vol. 33 ( 2020-10-19), p. 72-77
    Abstract: The purpose of this paper is to improve the performance of air suspension systems for a semi-trailer truck in the direction of reducing the dynamic wheel load acting on road surface (Part 1: modeling and algorithm). To achieve the goal of finding the optimal design parameters for the air suspension systems, a half-vehicle dynamic model under the road-vehicle interaction with 12 degrees of freedom (d.o.f) is established for searching the optimal design parameters of vehicle suspensions using genetic algorithm (GA). Dynamic load coefficient (DLC) is considered as a target function. Two optimal conditions: optimal design of geometrical parameters of air spring suspension systems (Case 1) and optimal design of parameters of air suspension systems (Case 2) are selected in this study. The results of this paper are the basis for optimization and discussion in Part 2 as the results and discussion.
    Type of Medium: Online Resource
    ISSN: 2345-0533 , 2538-8479
    Language: English
    Publisher: JVE International Ltd.
    Publication Date: 2020
    detail.hit.zdb_id: 2938866-1
    Location Call Number Limitation Availability
    BibTip Others were also interested in ...
  • 3
    Online Resource
    Online Resource
    JVE International Ltd. ; 2020
    In:  Vibroengineering PROCEDIA Vol. 31 ( 2020-5-7), p. 74-79
    In: Vibroengineering PROCEDIA, JVE International Ltd., Vol. 31 ( 2020-5-7), p. 74-79
    Abstract: The aim of this study is to propose an optimal design method for drum’s isolation systems of a double-drum vibrating roller so that the ride comfort can be improved. A half-vehicle ride dynamic model is established based on the drum-ground interactions. The weighted root mean square (rms) of acceleration responses of the vertical and pitch vibrations of the vehicle body ( a w b and a w p h i ) according to the ISO 2631:1997(E) standard is chosen as objective functions. A genetic algorithm (GA) is applied for searching for the optimal design parameters of drum’s isolation systems based on the objective functions. The study results indicate that the a w b and a w p h i values of GA optimal parameters reduce significantly in comparison with those of the original parameters of drum’s isolation systems, which means that the performance optimization of drum’s isolation systems is better than the original vehicle in improving the vehicle ride comfort.
    Type of Medium: Online Resource
    ISSN: 2345-0533 , 2538-8479
    Language: English
    Publisher: JVE International Ltd.
    Publication Date: 2020
    detail.hit.zdb_id: 2938866-1
    Location Call Number Limitation Availability
    BibTip Others were also interested in ...
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