Robust design optimization of structural systems under evolutionary stochastic seismic excitation

Ioannis P. Mitseas; Ioannis A. Kougioumtzoglou; Michael Beer; Edoardo Patelli; John E. Mottershead

doi:10.1061/9780784413609.022

Robust design optimization of structural systems under evolutionary stochastic seismic excitation

Ioannis P. Mitseas, Ioannis A. Kougioumtzoglou, Michael Beer, Edoardo Patelli, John E. Mottershead

Civil And Environmental Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution book

7 Citations (Scopus)

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.

Original language	English
Title of host publication	Vulnerability, Uncertainty, and Risk
Subtitle of host publication	Quantification, Mitigation, and Management - Proceedings of the 2nd International Conference on Vulnerability and Risk Analysis and Management, ICVRAM 2014 and the 6th International Symposium on Uncertainty Modeling and Analysis, ISUMA 2014
Editors	Jim W. Hall, Siu-Kui Au, Michael Beer
Publisher	American Society of Civil Engineers (ASCE)
Pages	215-224
Number of pages	10
ISBN (Electronic)	9780784413609
DOIs	https://doi.org/10.1061/9780784413609.022
Publication status	Published - 7 Jul 2014
Event	2nd International Conference on Vulnerability and Risk Analysis and Management, ICVRAM 2014 and the 6th International Symposium on Uncertainty Modeling and Analysis, ISUMA 2014 - Liverpool, United Kingdom Duration: 13 Jul 2014 → 16 Jul 2014

Publication series

Name	Vulnerability, Uncertainty, and Risk: Quantification, Mitigation, and Management - Proceedings of the 2nd International Conference on Vulnerability and Risk Analysis and Management, ICVRAM 2014 and the 6th International Symposium on Uncertainty Modeling and Analysis, ISUMA 2014

Conference

Conference	2nd International Conference on Vulnerability and Risk Analysis and Management, ICVRAM 2014 and the 6th International Symposium on Uncertainty Modeling and Analysis, ISUMA 2014
Country/Territory	United Kingdom
City	Liverpool
Period	13/07/14 → 16/07/14

Keywords

uncertainty analysis
degrees of freedom (mechanics)
frequency domain analysis
genetic algorithms
intelligent systems
Monte Carlo methods
optimization
risk analysis
risk assessment
seismic design
stochastic systems
structural optimization

Access to Document

10.1061/9780784413609.022

Cite this

Mitseas, I. P., Kougioumtzoglou, I. A., Beer, M., Patelli, E., & Mottershead, J. E. (2014). Robust design optimization of structural systems under evolutionary stochastic seismic excitation. In J. W. Hall, S.-K. Au, & M. Beer (Eds.), Vulnerability, Uncertainty, and Risk: Quantification, Mitigation, and Management - Proceedings of the 2nd International Conference on Vulnerability and Risk Analysis and Management, ICVRAM 2014 and the 6th International Symposium on Uncertainty Modeling and Analysis, ISUMA 2014 (pp. 215-224). (Vulnerability, Uncertainty, and Risk: Quantification, Mitigation, and Management - Proceedings of the 2nd International Conference on Vulnerability and Risk Analysis and Management, ICVRAM 2014 and the 6th International Symposium on Uncertainty Modeling and Analysis, ISUMA 2014). American Society of Civil Engineers (ASCE). https://doi.org/10.1061/9780784413609.022

Mitseas, Ioannis P. ; Kougioumtzoglou, Ioannis A. ; Beer, Michael et al. / Robust design optimization of structural systems under evolutionary stochastic seismic excitation. Vulnerability, Uncertainty, and Risk: Quantification, Mitigation, and Management - Proceedings of the 2nd International Conference on Vulnerability and Risk Analysis and Management, ICVRAM 2014 and the 6th International Symposium on Uncertainty Modeling and Analysis, ISUMA 2014. editor / Jim W. Hall ; Siu-Kui Au ; Michael Beer. American Society of Civil Engineers (ASCE), 2014. pp. 215-224 (Vulnerability, Uncertainty, and Risk: Quantification, Mitigation, and Management - Proceedings of the 2nd International Conference on Vulnerability and Risk Analysis and Management, ICVRAM 2014 and the 6th International Symposium on Uncertainty Modeling and Analysis, ISUMA 2014).

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title = "Robust design optimization of structural systems under evolutionary stochastic seismic excitation",

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.",

keywords = "uncertainty analysis, degrees of freedom (mechanics), frequency domain analysis, genetic algorithms, intelligent systems, Monte Carlo methods, optimization, risk analysis, risk assessment, seismic design, stochastic systems, structural optimization",

author = "Mitseas, {Ioannis P.} and Kougioumtzoglou, {Ioannis A.} and Michael Beer and Edoardo Patelli and Mottershead, {John E.}",

year = "2014",

month = jul,

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doi = "10.1061/9780784413609.022",

language = "English",

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publisher = "American Society of Civil Engineers (ASCE)",

pages = "215--224",

editor = "Hall, {Jim W.} and Siu-Kui Au and Michael Beer",

booktitle = "Vulnerability, Uncertainty, and Risk",

address = "United States",

note = "2nd International Conference on Vulnerability and Risk Analysis and Management, ICVRAM 2014 and the 6th International Symposium on Uncertainty Modeling and Analysis, ISUMA 2014 ; Conference date: 13-07-2014 Through 16-07-2014",

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Mitseas, IP, Kougioumtzoglou, IA, Beer, M, Patelli, E & Mottershead, JE 2014, Robust design optimization of structural systems under evolutionary stochastic seismic excitation. in JW Hall, S-K Au & M Beer (eds), Vulnerability, Uncertainty, and Risk: Quantification, Mitigation, and Management - Proceedings of the 2nd International Conference on Vulnerability and Risk Analysis and Management, ICVRAM 2014 and the 6th International Symposium on Uncertainty Modeling and Analysis, ISUMA 2014. Vulnerability, Uncertainty, and Risk: Quantification, Mitigation, and Management - Proceedings of the 2nd International Conference on Vulnerability and Risk Analysis and Management, ICVRAM 2014 and the 6th International Symposium on Uncertainty Modeling and Analysis, ISUMA 2014, American Society of Civil Engineers (ASCE), pp. 215-224, 2nd International Conference on Vulnerability and Risk Analysis and Management, ICVRAM 2014 and the 6th International Symposium on Uncertainty Modeling and Analysis, ISUMA 2014, Liverpool, United Kingdom, 13/07/14. https://doi.org/10.1061/9780784413609.022

Robust design optimization of structural systems under evolutionary stochastic seismic excitation. / Mitseas, Ioannis P.; Kougioumtzoglou, Ioannis A.; Beer, Michael et al.
Vulnerability, Uncertainty, and Risk: Quantification, Mitigation, and Management - Proceedings of the 2nd International Conference on Vulnerability and Risk Analysis and Management, ICVRAM 2014 and the 6th International Symposium on Uncertainty Modeling and Analysis, ISUMA 2014. ed. / Jim W. Hall; Siu-Kui Au; Michael Beer. American Society of Civil Engineers (ASCE), 2014. p. 215-224 (Vulnerability, Uncertainty, and Risk: Quantification, Mitigation, and Management - Proceedings of the 2nd International Conference on Vulnerability and Risk Analysis and Management, ICVRAM 2014 and the 6th International Symposium on Uncertainty Modeling and Analysis, ISUMA 2014).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution book

TY - GEN

T1 - Robust design optimization of structural systems under evolutionary stochastic seismic excitation

AU - Mitseas, Ioannis P.

AU - Kougioumtzoglou, Ioannis A.

AU - Beer, Michael

AU - Patelli, Edoardo

AU - Mottershead, John E.

PY - 2014/7/7

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N2 - 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.

AB - 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.

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KW - degrees of freedom (mechanics)

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KW - genetic algorithms

KW - intelligent systems

KW - Monte Carlo methods

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KW - risk analysis

KW - risk assessment

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KW - stochastic systems

KW - structural optimization

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M3 - Conference contribution book

AN - SCOPUS:84933564933

T3 - Vulnerability, Uncertainty, and Risk: Quantification, Mitigation, and Management - Proceedings of the 2nd International Conference on Vulnerability and Risk Analysis and Management, ICVRAM 2014 and the 6th International Symposium on Uncertainty Modeling and Analysis, ISUMA 2014

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BT - Vulnerability, Uncertainty, and Risk

A2 - Hall, Jim W.

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ER -

Mitseas IP, Kougioumtzoglou IA, Beer M, Patelli E, Mottershead JE. Robust design optimization of structural systems under evolutionary stochastic seismic excitation. In Hall JW, Au SK, Beer M, editors, Vulnerability, Uncertainty, and Risk: Quantification, Mitigation, and Management - Proceedings of the 2nd International Conference on Vulnerability and Risk Analysis and Management, ICVRAM 2014 and the 6th International Symposium on Uncertainty Modeling and Analysis, ISUMA 2014. American Society of Civil Engineers (ASCE). 2014. p. 215-224. (Vulnerability, Uncertainty, and Risk: Quantification, Mitigation, and Management - Proceedings of the 2nd International Conference on Vulnerability and Risk Analysis and Management, ICVRAM 2014 and the 6th International Symposium on Uncertainty Modeling and Analysis, ISUMA 2014). doi: 10.1061/9780784413609.022

Robust design optimization of structural systems under evolutionary stochastic seismic excitation

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