Rollover casualties of earthmoving machinery have been identified as a serious problem. To reduce rollover fatalities, rollover protective structures were developed and to improve their energy-absorption capacity, the current study provides a global optimization design method for two-post rollover protective structures (ROPS) that utilizes the Latin hypercube method to determine sample point values, the Kriging model as an alternative to traditional second-order polynomial response surfaces for constructing global approximations, and the genetic algorithm to yield optimized results. Through optimization, a satisfactory variation tendency of object function in the lateral loading analysis is obtained, and the load-carrying capability, deformation, and energy absorption are found to match each other well. The matching rationality between energy absorption and lateral loadcarrying capability effectively improves the energy-absorption capacity of the ROPS.


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    Titel :

    Global optimization of lateral performance for two-post ROPS based on the Kriging model and genetic algorithm


    Beteiligte:
    Wang, Jixin (Autor:in) / Yao, Minhyao (Autor:in) / Yang, Yonghai (Autor:in)


    Erscheinungsdatum :

    2011


    Format / Umfang :

    8 Seiten, 7 Bilder, 22 Quellen




    Medientyp :

    Aufsatz (Zeitschrift)


    Format :

    Print


    Sprache :

    Englisch




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