Mitseas, IP orcid.org/0000-0001-5219-1804, Kougioumtzoglou, IA and Beer, M (2019) An efficient complex modal decomposition method for inelastic stochastic design spectrum-based analysis. In: Proceedings of the 13th International Conference on Applications of Statistics and Probability in Civil Engineering, ICASP 2019. 13th International Conference on Applications of Statistics and Probability in Civil Engineering, 26-30 May 2019, Seoul, South Korea.
Abstract
An efficient stochastic modal decomposition method for random vibration analysis of non-classically damped nonlinear multi-degree-of-freedom (MDOF) systems is proposed in accordance with contemporary aseismic code provisions (e.g., EC8). Specifically, relying on statistical linearization and state-variable formulation, the complex eigenvalue problem considering inelastic MDOF structural systems subject to stochastic seismic processes is formulated and solved. To this aim, equivalent linear modal properties (EMPs), i.e., natural frequencies and damping ratios, are appropriately defined and evaluated based on an iterative scheme involving the determination of the system response covariance matrix as well. Note that the stochastic excitations are characterized by power spectra compatible in a stochastic sense with a given elastic response uniform hazard spectrum (UHS) of specified modal damping ratio. Next, the system EMPs are utilized in conjunction with the response elastic UHS for determining peak nonlinear responses in modal coordinates. Further, modal participation factors are evaluated for the complex-valued mode shapes and the generalized complete-quadratic-combination (CQC) is employed as the modal combination rule for determining the peak total responses. The reliability of the proposed framework is assessed by considering a 3-storey nonlinear frame structure exposed to the Eurocode 8 elastic response spectrum. Nonlinear response time-history analysis (RHA) involving a large ensemble of Eurocode 8 spectrum compatible accelerograms is conducted to assess the accuracy of the proposed approach.
Metadata
Item Type: | Proceedings Paper |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | This is protected by copyright. All rights reserved. This is an author produced version of a conference paper published in the Proceedings of the 13th International Conference on Applications of Statistics and Probability in Civil Engineering. Uploaded in accordance with the publisher's self-archiving policy. |
Dates: |
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Institution: | The University of Leeds |
Academic Units: | The University of Leeds > Faculty of Engineering & Physical Sciences (Leeds) > School of Civil Engineering (Leeds) |
Depositing User: | Symplectic Publications |
Date Deposited: | 21 Aug 2020 13:36 |
Last Modified: | 10 Sep 2021 11:25 |
Published Version: | http://s-space.snu.ac.kr/simple-search?location=10... |
Status: | Published |
Identification Number: | 10.22725/ICASP13.208 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:164175 |