Trust region methods for structural optimization using exact second order sensitivity

M. Sunar, Ashok D. Belegundu

    Research output: Contribution to journalArticlepeer-review

    43 Scopus citations


    The performance of multiplier algorithms for structural optimization has been significantly improved by using trust regions. The trust regions are constructed using analytical second order sensitivity, and within this region, the augmented Lagrangian ϕ is minimized subject to bounds. Evaluation of first and second derivatives of ϕ by the adjoint method does not require derivations of individual (implicit) constraint functions, which makes the method economical. Eight test problems are considered and a vast improvement over previously used multiplier algorithms has been noted. Also, the algorithm is robust with respect to scaling, input parameters and starting designs.

    Original languageEnglish (US)
    Pages (from-to)275-293
    Number of pages19
    JournalInternational Journal for Numerical Methods in Engineering
    Issue number2
    StatePublished - Jan 1 1991

    All Science Journal Classification (ASJC) codes

    • Numerical Analysis
    • Engineering(all)
    • Applied Mathematics


    Dive into the research topics of 'Trust region methods for structural optimization using exact second order sensitivity'. Together they form a unique fingerprint.

    Cite this