This paper presents a quantitative method for assessing the environmental impact of terrain/vehicle interactions during tactical missions. Area wide mobility analyses were conducted using three standard US military tracked and wheeled vehicles over terrain regions representing both fine-grained and course-grained soils. The NATO reference mobility model, Version 2, was used to perform the on- and off-road mobility analysis. Vehicle and terrain characterizations along with different climate scenarios were used as input parameters to predict vehicle rut depth performance for the different vehicles and terrain conditions. The vehicles' performance was statistically mapped over these terrain regions for percent area traveled and the resulting rut depth created by each vehicle. A selection of tactical scenarios for each vehicle was used to determine rut depth for a range of vehicle missions. A vehicle mission severity rating method, developed at the US Army Engineer Research and Development Center, was used to rate the selected missions and resulting rut depths.


    Access

    Access via TIB

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    A methodology for quantitatively assessing vehicular rutting on terrains


    Contributors:
    Jones, R. (author) / Horner, D. (author) / Sullivan, P. (author) / Ahlvin, R. (author)

    Published in:

    Journal of Terramechanics ; 42 , 3-4 ; 245-257


    Publication date :

    2005


    Size :

    13 Seiten, 6 Quellen




    Type of media :

    Article (Journal)


    Type of material :

    Print


    Language :

    English




    A methodology for quantitatively assessing vehicular rutting on terrains

    Jones, R. / Horner, D. / Sullivan, P. et al. | British Library Conference Proceedings | 2005


    A methodology for quantitatively assessing vehicular rutting on terrains

    Jones,R. / Horner,D. / Sullivan,P. et al. | Automotive engineering | 2005



    Assessing network security situation quantitatively based on information fusion

    Wen, Zhicheng / Chen, Zhigang / Tang, Jun | British Library Online Contents | 2016


    Systems and methods for quantitatively assessing collision risk and severity

    YANG JIDONG | European Patent Office | 2021

    Free access