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    Buckling-driven mechanisms for twisting control in adaptive composite wings

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    This study aims to design novel tailorable and effective mechanisms by controlling buckling behaviour in structural elements of a composite wing for future morphing application. Instead of the traditional design against buckling, the idea is to embrace this built-in instability by using the nonlinear post-buckling response to control stiffness changes which redistribute the load in the wing structure. To enable desired multi-stable configurations, three buckling-driven mechanisms are investigated by restraining the out-of-plane buckling deformation using point, area and maximum displacement constraints. Numerical studies of the proposed mechanisms are at first conducted on a composite plate and are later integrated to control twisting of a simplified thin-walled composite wing box. The proposed mechanisms offer effective design opportunities of multi-stable configurations and demonstrate the potential to realise morphing of composite wings employing controlled buckling behaviours in structural components.Education AEAerospace Structures & Computational Mechanic

    Zhang, J.

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    Zhang, J.

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    Zhang, J.

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    Zhang, J.

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    Zhang, J.

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    Zhang, J.

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    Going Beyond Counting First Authors in Author Co-citation Analysis

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    The present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
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