Mitseas, IP orcid.org/0000-0001-5219-1804, Kougioumtzoglou, IA, Beer, M et al. (2 more authors) (2014) Robust Design Optimization of Structural Systems Under Evolutionary Stochastic Seismic Excitation. In: Vulnerability, Uncertainty, and Risk. Second International Conference on Vulnerability and Risk Analysis and Management (ICVRAM) and the Sixth International Symposium on Uncertainty, Modeling, and Analysis (ISUMA), 13-16 Jul 2014, University of Liverpool, Liverpool, UK. American Society of Civil Engineers , pp. 215-224. ISBN 9780784413609
Abstract
An efficient robust design optimization (RBO) framework is developed for linear multi-degree-of-freedom (MDOF) structural systems subject to evolutionary stochastic earthquake excitations. A significant feature of the developed RBO framework relates to the consideration of both inter-storey drift and floor acceleration second-order statistics as performance measures. Further, an efficient frequency domain approach is utilized for determining the system response Evolutionary Power Spectrum (EPS) matrix circumventing computationally intensive Monte Carlo simulations. Furthermore, the optimization problem is solved by employing a Genetic Algorithm based approach. An illustrative numerical example is included to demonstrate the efficiency and robustness of the proposed framework.
Metadata
Item Type: | Proceedings Paper |
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Authors/Creators: |
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Keywords: | Structural systems, Linear functions, Structural design, Excitation (physics), Structural reliability, Seismic tests, Stochastic processes, Seismic design |
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 Apr 2021 13:27 |
Last Modified: | 21 Apr 2021 13:27 |
Status: | Published |
Publisher: | American Society of Civil Engineers |
Identification Number: | 10.1061/9780784413609.022 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:164177 |