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Dynamic analysis of steel frames with uncertain semi-rigid connections
conference contribution
posted on 2017-07-28, 10:41 authored by Stavros Kasinos, Alessandro Palmeri, S. Maheshwari, Mariateresa LombardoThe paper addresses the dynamic analysis of linear steel frames with uncertain semi-rigid connections subjected to deterministic seismic excitation. The uncertainty is conveniently characterised in the reduced modal space using
a recently proposed surrogate model, which requires only a reduced set of parameters. A procedure is presented in which the model parameters are identified over various configurations calibrating the probabilistic definition in the full geometrical space. It is found that the dynamic response can significantly be influenced by the level of connection flexibility and its random fluctuations around the nominal value. Comparisons with conventional analyses and Monte Carlo simulations evidence that the proposed model is an efficient alternative for
accurately representing the response of structures with uncertainties.
History
School
- Architecture, Building and Civil Engineering
Published in
12th International Conference on Structural Safety & ReliabilityCitation
KASINOS, S. ...et al., 2017. Dynamic analysis of steel frames with uncertain semi-rigid connections. IN: Bucher, C., Ellingwood, B.R. and Frangopol, D.M. (eds.) Safety, Reliability, Risk, Resilience and Sustainability of Structures and Infrastructure. Herausgeber: TU Verlag.Publisher
© the authors. Published by TU VerlagVersion
- AM (Accepted Manuscript)
Publisher statement
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/Acceptance date
2017-05-05Publication date
2017Notes
This is a conference paper it was presented at the 12th International Conference on Structural Safety & Reliability (ICOSSAR 2017), Vienna, Austria, 6-10th Aug.ISBN
9783903024281ISSN
2523-9198Publisher version
Language
- en