Structure-Independent Parallel Platform for Nonlinear Analyses of General Real-Scale RC Structures under Cyclic Loading
Publication: Journal of Structural Engineering
Volume 140, Issue 8
Abstract
Notwithstanding powerful computational simulation methodologies available today, there remain significant challenges: the plane-section assumption of popular fiber models, the scale limitations of sophisticated microscopic methodologies such as particle-lattice models, and the difficulty in describing structural damage in actual physical terms. Here, the authors validated a structure-independent parallel platform that tackles these challenges. Nonlinearity is captured by novel microphysical mechanisms: a multidirectional smeared crack model, a tribology-inspired three-dimensional (3D) interlocking model, a topological transition-based steel bar model that captures progressive buckling, and a general confinement model exploiting nonlocal information (i.e., mesh-objective proximity to adjacent reinforcements and boundaries). These innovative features are made possible by virtue of optimized parallel algorithms. The validation and application span a variety of RC elements: columns with a hollow or solid section, rectangular walls with or without opening, and H- or T-shaped multistory walls. Importantly, all simulations embrace realistic geometry and reinforcements, but they require only two material properties and no structure-dependent calibrations. The universality and efficiency of the platform will feed more physical damage information to fragility functions, and also give rise to a powerful tool for next generation performance-based engineering, which calls for a multitude of structural analyses.
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Acknowledgments
This research is funded by the Willis Research Network and contributed to the Global Earthquake Model, whose support is gratefully acknowledged. Regarding the experimental data, the warm hospitality of Professor John W. Wallace and Professor F. J. Vecchio is deeply appreciated. All numerical simulations were run on JANUS (the supercomputer hosted for the University of Colorado and the National Center for Atmospheric Research), for which funding was provided by NSF-MRI Grant CNS-0821794. Special thanks are due to Professor J. F. Hall for his productive discussion on nonlinear analysis methods.
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Published In
Journal of Structural Engineering
Volume 140 • Issue 8 • August 2014
Copyright
© 2013 American Society of Civil Engineers.
History
Received: Oct 24, 2012
Accepted: May 10, 2013
Published online: May 14, 2013
Discussion open until: Apr 13, 2014
Published in print: Aug 1, 2014
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