Controlling Out-of-Plane Buckling in Shear-Acting Structural Fuses through Topology Optimization
Publication: Journal of Structural Engineering
Volume 146, Issue 7
Abstract
Shear-acting structural fuses rely on steel plates subjected to in-plane lateral displacements that dissipate energy through shear yielding or may have cutouts that result in shear or flexural yielding of ductile local mechanisms. However, the relatively high slenderness of the plates makes them prone to buckling, reducing the strength and energy dissipation capacity. The current study aims to facilitate local yielding mechanisms in shear structural fuses while resisting buckling. First, a genetic algorithm is implemented to find optimized topologies for structural fuses with a square domain and constant thickness. An objective function is formulated using the elastic shear buckling load obtained from a 3D eigenvalue analysis and the shear yield load obtained from a material nonlinear, but geometrically linear 2D plane-stress analysis. The ratio of shear yield load divided by shear buckling load is used as a way to control the amount of yielding expected before buckling. The set of new optimized topologies are interpreted into smooth shapes and analyzed using finite element models to evaluate their effectiveness. The finite element simulations show that the optimized geometries can resist buckling through inelastic displacement cycles with up to five times larger displacements than those that cause buckling in previously studied structural fuse shapes.
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Data Availability Statement
Some or all data, models, or code generated or used during the study are available in a repository online in accordance with funder data retention policies: Avecillas, J. and Eatherton, M. R. 2019. “Topology optimization to resist buckling. V1.” Virginia Tech Structural Engineering and Materials Report Series. Accessed July 15, 2019. http://hdl.handle.net/10919/91453.
Acknowledgments
The National Secretariat of Higher Education, Science, Technology, and Innovation of Ecuador (SENESCYT) provided support for this study through its graduate fellowship program. Some aspects of this work were supported by the National Science Foundation under Grant No. CMMI-1453960. Any opinions, findings, and conclusions or recommendations expressed in this material are those of the authors and do not necessarily reflect the views of the National Science Foundation or other sponsors.
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Received: Jul 15, 2019
Accepted: Feb 6, 2020
Published online: Apr 29, 2020
Published in print: Jul 1, 2020
Discussion open until: Sep 29, 2020
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