Crashworthiness design optimization problems are continuously challenged by inherent complexity of long simulation time, numerical instability, and unavailability of sensitivity analysis. In recent years, surrogate-model-based design optimization using design of experiments and response surface methodology (DOE/RSM) has proven to be a promising way to achieve the improved design for crashworthiness problems. However, the method is still hampered by a large number of function evaluations for a large number of design variables or low accuracy for small sample size. This paper presents an effective simulation-based optimization algorithm for optimal design of large-scale, computationally expensive crashworthiness problems. The proposed optimization algorithm is called the sequential regularized multiquadric regression with output space mapping (SRMQ/OSM). The proposed method is demonstrated on a generic helicopter skid landing gear to improve the energy absorption efficiency with prescribed design constraints. The results show that the proposed approach converged quickly to a feasible design with no constraint violation.


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    Title :

    An effective crashworthiness design optimization methodology to improve helicopter landing gear energy absorption


    Additional title:

    Eine effektive Entwurfsoptimerungsmethodik zum Aufprallenergieabsoprtionsvermögen zur Verbesserung der Energieabsorption bei Hubschrauberfahrwerken


    Contributors:
    Tho, Cheng-Ho (author) / Wang, B.P. (author)


    Publication date :

    2007


    Size :

    15 Seiten, 6 Quellen


    Type of media :

    Conference paper


    Type of material :

    Print


    Language :

    English





    An Effective Crashworthiness Design Optimization Methodology to Improve Helicopter Landing Gear Energy Absorption

    Tho, C. H. / Wang, B. P. / AHS International | British Library Conference Proceedings | 2007



    Helicopter landing gear

    Allward, M.F. | Engineering Index Backfile | 1953


    Design of Helicopter Crashworthiness

    V. Giavotto / C. Caprile / G. Sala | NTIS | 1988