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Linear Stochastic Model Validation for Civil Engineering Structures Under Earthquakes

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Recent Advances in Electrical Engineering and Control Applications (ICEECA 2016)

Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 411))

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Abstract

The autoregressive moving average exogenous (ARMAX) model validation of civil engineering structure under earthquake is developed in this paper. The Kanai-Tajimi and Clough-Penzien seismic models are developed. An identification process is used to estimate the polynomial parameters for unknown simulated seismic signal in order to take into account the soil-structure interaction (SSI) within the structural model. The results show that the ARMAX model presents an interesting representation for the linear stochastic systems in control point of view. Simulation tests using a single-degree-of-freedom structure are performed to show the efficiency of introducing the SSI, by identification, in the response of the structure under the seismic ground motion.

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Authors and Affiliations

  1. LSEI Laboratory, Electrical Engineering Department, USTHB University, El Alia, BP 32, 16111, Bab Ezzouar, Algiers, Algeria

    Mohamed Azira & Lakhdar Guenfaf

Authors
  1. Mohamed Azira
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  2. Lakhdar Guenfaf
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Corresponding author

Correspondence to Mohamed Azira .

Editor information

Editors and Affiliations

  1. MIS (EA 4290), Université de Picardie Jules Verne, Amiens, France

    Mohammed Chadli

  2. Laboratoire d'Automatique et de Robotiqu, Université Abbes Laghrour, Khenchela, Khenchela, Algeria

    Sofiane Bououden

  3. VÅ B-Technical University of Ostrava , Ostrava ba, Czech Republic

    Ivan Zelinka

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Azira, M., Guenfaf, L. (2017). Linear Stochastic Model Validation for Civil Engineering Structures Under Earthquakes. In: Chadli, M., Bououden, S., Zelinka, I. (eds) Recent Advances in Electrical Engineering and Control Applications. ICEECA 2016. Lecture Notes in Electrical Engineering, vol 411. Springer, Cham. https://doi.org/10.1007/978-3-319-48929-2_3

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  • DOI: https://doi.org/10.1007/978-3-319-48929-2_3

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-48928-5

  • Online ISBN: 978-3-319-48929-2

  • eBook Packages: EngineeringEngineering (R0)

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