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Linear Stochastic Model Validation for Civil Engineering Structures Under Earthquakes

Azira, Mohamed / Guenfaf, Lakhdar

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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Linear Stochastic Model Validation for Civil Engineering Structures Under Earthquakes

Azira, Mohamed / Guenfaf, Lakhdar

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.

Linear Stochastic Model Validation for Civil Engineering Structures Under Earthquakes

Azira, Mohamed / Guenfaf, Lakhdar

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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Title:

Linear Stochastic Model Validation for Civil Engineering Structures Under Earthquakes

Contributors:

Azira, Mohamed (author) / Guenfaf, Lakhdar (author)

Published in:

Recent Advances in Electrical Engineering and Control Applications ; 31-44

Lecture Notes in Electrical Engineering ; 411

Publication date:

2016-12-02

Size:

14 pages

ISBN:

978-3-319-48929-2 , 978-3-319-48928-5

ISSN:

1876-1100 , 1876-1119

DOI:

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

Type of media:

Article/Chapter (Book)

Type of material:

Electronic Resource

Language:

English

Keywords:

Dynamics of structures , ARMAX model , Seismic ground motion , Soil structure interaction , Identification Engineering , Control , Communications Engineering, Networks , Signal, Image and Speech Processing

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