Large-scale structural parametric optimization problems still impose a challenge to computer hardware. A threestep approach to reduce the run time and memory requirements is proposed. It is based on the observed sparsity of the matrix of partial derivatives in structural optimization. The approach includes a differentiation scheme to compute smaller gradient matrices in parallel and assemble them employing the chain rule, an adaptive filtering framework for an effective selection of active constraints based on numerical value and engineering knowledge and the pairing of a known sequential convex programming algorithm with a preconditioned conjugate gradient solver for the internal matrices. Software has been developed and successfully applied to the optimization of the outer wing panels of a large military transporter aircraft.


    Access

    Access via TIB

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Solving very large-scale structural optimization problems


    Additional title:

    Lösung struktureller Optimierungsprobleme in sehr großem Maßstab


    Contributors:

    Published in:

    AIAA Journal (online) ; 45 , 11 ; 2729-2736


    Publication date :

    2007


    Size :

    8 Seiten, 5 Bilder, 12 Quellen




    Type of media :

    Article (Journal)


    Type of material :

    Print


    Language :

    English




    Solving Very Large-Scale Structural Optimization Problems

    Frank Hüttner / Matthias Grosspietsch | AIAA | 2007



    Very large scale optimization

    Vanderplaats, G. | AIAA | 2000


    Code optimization for solving large 3D EMP problems

    Holland, R. / Simpson, L. / John, R.H.S. | Tema Archive | 1979