An efficient complex modal decomposition method for inelastic stochastic design spectrum-based analysis

Publikation: KonferenzbeitragPaperForschungPeer-Review

Autorschaft

Externe Organisationen

  • Columbia University
Forschungs-netzwerk anzeigen

Details

OriginalspracheEnglisch
Seitenumfang8
PublikationsstatusVeröffentlicht - 2019
Veranstaltung13th International Conference on Applications of Statistics and Probability in Civil Engineering - Seoul, South Korea, Seoul, Südkorea
Dauer: 26 Mai 201930 Mai 2019
Konferenznummer: 13

Konferenz

Konferenz13th International Conference on Applications of Statistics and Probability in Civil Engineering
KurztitelICASP13
Land/GebietSüdkorea
OrtSeoul
Zeitraum26 Mai 201930 Mai 2019

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.

ASJC Scopus Sachgebiete

Zitieren

An efficient complex modal decomposition method for inelastic stochastic design spectrum-based analysis. / Mitseas, Ioannis P.; Kougioumtzoglou, Ioannis A.; Beer, Michael.
2019. Beitrag in 13th International Conference on Applications of Statistics and Probability in Civil Engineering, Seoul, Südkorea.

Publikation: KonferenzbeitragPaperForschungPeer-Review

Mitseas, IP, Kougioumtzoglou, IA & Beer, M 2019, 'An efficient complex modal decomposition method for inelastic stochastic design spectrum-based analysis', Beitrag in 13th International Conference on Applications of Statistics and Probability in Civil Engineering, Seoul, Südkorea, 26 Mai 2019 - 30 Mai 2019. https://doi.org/10.22725/ICASP13.208
Mitseas, I. P., Kougioumtzoglou, I. A., & Beer, M. (2019). An efficient complex modal decomposition method for inelastic stochastic design spectrum-based analysis. Beitrag in 13th International Conference on Applications of Statistics and Probability in Civil Engineering, Seoul, Südkorea. https://doi.org/10.22725/ICASP13.208
Mitseas IP, Kougioumtzoglou IA, Beer M. An efficient complex modal decomposition method for inelastic stochastic design spectrum-based analysis. 2019. Beitrag in 13th International Conference on Applications of Statistics and Probability in Civil Engineering, Seoul, Südkorea. doi: 10.22725/ICASP13.208
Mitseas, Ioannis P. ; Kougioumtzoglou, Ioannis A. ; Beer, Michael. / An efficient complex modal decomposition method for inelastic stochastic design spectrum-based analysis. Beitrag in 13th International Conference on Applications of Statistics and Probability in Civil Engineering, Seoul, Südkorea.8 S.
Download
@conference{bf46bd48e3ef468a903c106fa0f7eba5,
title = "An efficient complex modal decomposition method for inelastic stochastic design spectrum-based analysis",
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.",
author = "Mitseas, {Ioannis P.} and Kougioumtzoglou, {Ioannis A.} and Michael Beer",
note = "Publisher Copyright: {\textcopyright} 13th International Conference on Applications of Statistics and Probability in Civil Engineering, ICASP 2019. All rights reserved. Copyright: Copyright 2020 Elsevier B.V., All rights reserved.; 13th International Conference on Applications of Statistics and Probability in Civil Engineering, ICASP 2019 ; Conference date: 26-05-2019 Through 30-05-2019",
year = "2019",
doi = "10.22725/ICASP13.208",
language = "English",

}

Download

TY - CONF

T1 - An efficient complex modal decomposition method for inelastic stochastic design spectrum-based analysis

AU - Mitseas, Ioannis P.

AU - Kougioumtzoglou, Ioannis A.

AU - Beer, Michael

N1 - Conference code: 13

PY - 2019

Y1 - 2019

N2 - 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.

AB - 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.

UR - http://www.scopus.com/inward/record.url?scp=85083952375&partnerID=8YFLogxK

U2 - 10.22725/ICASP13.208

DO - 10.22725/ICASP13.208

M3 - Paper

T2 - 13th International Conference on Applications of Statistics and Probability in Civil Engineering, ICASP 2019

Y2 - 26 May 2019 through 30 May 2019

ER -

Von denselben Autoren