Efficient handling of stability problems in shell optimization by asymmetric ‘worst-case’ shape imperfection

Marko Kegl in Boštjan Brank in Branko Harl in Maks Oblak (2008) Efficient handling of stability problems in shell optimization by asymmetric ‘worst-case’ shape imperfection. International Journal for Numerical Methods in Engineering, 73 (9). str. 1197-1216. ISSN 00295981

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    The paper presents an approach to shape optimization of proportionally loaded elastic shell structures under stability constraints. To reduce the stability-related problems, a special technique is utilized, by which the response analysis is always terminated before the first critical point is reached. In this way, the optimization is always related to a precritical structural state. The necessary load-carrying capability of the optimal structure is assured by extending the usual formulation of the optimization problem by a constraint on an estimated critical load factor. Since limit points are easier to handle, the possible presence of bifurcation points is avoided by introducing imperfection parameters. They are related to an asymmetric shape perturbation of the structure. During the optimization, the imperfection parameters are updated to get automatically the ‘worst-case’ pattern and amplitude of the imperfection. Both, the imperfection parameters and the design variables are related to the structural shape via the design element technique. A gradient-based optimizer is employed to solve the optimization problem. Three examples illustrate the proposed approach. Copyright © 2007 John Wiley & Sons, Ltd.

    Vrsta dela: Članek
    Ključne besede: Structures; Optimization; Stability; Shells; Shape design; Imperfection
    Povezava na COBISS: http://www.cobiss.si/scripts/cobiss?command=search&base=50057&select=(ID=11905814)
    Ustanova: Univerza v Ljubljani
    Fakulteta: Fakulteta za gradbeništvo in geodezijo
    Katedre: Fakulteta za gradbeništvo in geodezijo > Oddelek za gradbeništvo > Katedra za konstrukcije in potresno inženirstvo (KKPI)
    ID vnosa: 4436
    URI: http://drugg.fgg.uni-lj.si/id/eprint/4436

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