Structural topology optimization of bridge girders in cable supported bridges

Mads Jacob Baandrup, Niels Aage, Ole Sigmund

    Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review


    This work applies a ultra large scale topology optimization method to study the optimal structure of bridge girders in cable supported bridges. The current classic orthotropic box girder designs are limited in further development and optimization, and suffer from substantial fatigue issues. A great disadvantage of the orthotropic girder is the loads being carried one direction at a time, thus creating stress hot spots and fatigue problems. Hence, a new design concept has the potential to solve many of the limitations in the current state-of-the-art. We present a design method based on ultra large scale topology optimization. The highly detailed structures and fine mesh-discretization permitted by ultra large scale topology optimization reveal new design features and previously unseen effects. The results demonstrate the potential of generating completely different design solutions for bridge girders in cable supported bridges, which differ significantly from the classic orthotropic box girders. The overall goal of the presented work is to identify new and innovative, but at the same time constructible and economically reasonable, solutions to be implemented into the design of future cable supported bridges.
    Original languageEnglish
    Title of host publicationIABSE Conference, Kuala Lumpur 2018: Engineering the Developing World
    PublisherInternational Association for Bridge and Structural Engineering
    Publication date2018
    ISBN (Electronic)978-385748159-8
    Publication statusPublished - 2018
    EventIABSE Conference: Engineering the Developing World - Kuala Lumpur, Malaysia
    Duration: 25 Apr 201827 Apr 2018


    ConferenceIABSE Conference
    CityKuala Lumpur


    • Innovative girder design
    • Bridge girder
    • Cable supported bridges
    • Topology optimization
    • Structural optimization
    • Large scale topology optimization


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