posted on 2014-09-24, 08:37authored byStavros Kasinos, Alessandro Palmeri
In the study presented in this paper, static and dynamic nonlinear analyses were undertaken on representative planar frames with a range of different geometrical and mechanical parameters, with the aim of assessing whether analysis methods drawn from current seismic design principles can be successfully applied to the case of a typical robustness scenario, where a column is suddenly lost as a result of an accidental action. It was shown that static nonlinear methods of analysis can provide a good approximation of the structural response. Seismic detailing was found to significantly improve robustness, with higher benefits seen at low ductility levels, and similar trends to what is currently known within earthquake engineering were obtained. The geometric nonlinearity was found to be critical, allowing for a realistic representation of the structural performance. Increasing the number of storeys was shown to enhance progressive collapse resistance, while gravity loads tend to increase progressive collapse and ductility demands; on the contrary, equivalent viscous damping was shown to reduce the ductility demand. Removal time was found to be of primary importance on the structural response, with inertial effects significantly being reduced when the removal time is longer.
History
School
Architecture, Building and Civil Engineering
Published in
12th International Conference on Computational Structures Technology
Proceedings Of The Twelfth International Conference on Computational Structures Technology
Pages
Paper No. 42
Citation
KASINOS, S. and PALMERI, A., 2014. Robustness assessment using nonlinear analysis methods: a parametric study. IN: Topping, B.H.V. and Iványi, P. (eds.), Proceedings of the Twelfth International Conference on Computational Structures Technology. Stirlingshire, UK: Civil-Comp, Paper 42, doi:10.4203/ccp.106.42
This work is made available according to the conditions of the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0) licence. Full details of this licence are available at: https://creativecommons.org/licenses/by-nc-nd/4.0/
Publication date
2014
Notes
This is a conference paper. The final published version is available at: doi:10.4203/ccp.106.42