Damage detection of base‐isolated buildings using multi‐input multi‐output subspace identification

Yoshimoto, Reiki; Mita, Akira; Okada, Keiichi

doi:10.1002/eqe.435

Cited by 22 publications

(8 citation statements)

References 8 publications

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“…Therefore, ground acceleration measurements can be used as the input to the system to perform system identification. Moreover, the three-directional components of the earthquake input can be considered as multiple inputs to the system [45,46,27,47,48].…”

Section: Application To a Highway Overcrossing Bridgementioning

confidence: 99%

Parametric time‐domain identification of multiple‐input systems using decoupled output signals

Ruiz-Sandoval

Spencer

et al. 2013

Earthq Engng Struct Dyn

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SUMMARYCivil engineering structures are often subjected to multidirectional actions such as earthquake ground motion, which lead to complex structural responses. The contributions from the latter multidirectional actions to the response are highly coupled, leading to a MIMO system identification problem. Compared with single‐input, multiple‐output (SIMO) system identification, MIMO problems are more computationally complex and error prone. In this paper, a new system identification strategy is proposed for civil engineering structures with multiple inputs that induce strong coupling in the response. The proposed solution comprises converting the MIMO problem into separate SIMO problems, decoupling the outputs by extracting the contribution from the respective input signals to the outputs. To this end, a QR factorization‐based decoupling method is employed, and its performance is examined. Three factors, which affect the accuracy of the decoupling result, including memory length, input correlation, and system damping, are investigated. Additionally, a system identification method that combines the autoregressive model with exogenous input (ARX) and the Eigensystem Realization Algorithm (ERA) is proposed. The associated extended modal amplitude coherence and modal phase collinearity are used to delineate the structural and noise modes in the fitted ARX model. The efficacy of the ARX‐ERA method is then demonstrated through identification of the modal properties of a highway overcrossing bridge. Copyright © 2013 John Wiley & Sons, Ltd.

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Section: Application To a Highway Overcrossing Bridgementioning

confidence: 99%

Parametric time‐domain identification of multiple‐input systems using decoupled output signals

Ruiz-Sandoval

Spencer

et al. 2013

Earthq Engng Struct Dyn

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“…In addition, identification schemes relying on fewer sensors have studied. For example, Yoshimoto et al [16] used only three accelerometers to detect damage to base-isolated buildings whose models were simplified by combining linear interpolation or cosine interpolation with the substructure approach. Considering that structures are usually still elastic or slightly non-linear during most earthquakes, we propose a novel way to estimate the maximum relative displacement of all floors in a linear multi-degree-of-freedom (MDOF) structure merely from the acceleration time history response recorded by one sensor installed on a floor.…”

Section: Introductionmentioning

confidence: 99%

Estimation of Maximum Drift of MDOF Shear Structures Using Only One Accelerometer

Mita

2021

Materials Research Proceedings

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Abstract. This paper presents a new method to estimate maximum drifts, relative displacements between adjacent floors, of all stories of multi-degree-of-freedom (MDOF) shear structures using only one floor’s absolute acceleration time history response under the ground excitation. The absolute acceleration and relative displacement are formulated in modal coordinates and the state-space expression is derived. Then the numerical simulation for a three-story structure was conducted to verify the performance of the state-space equation. The comparison of the estimated state and input with actual values is made and shows the good agreement. In addition, the relative displacement time histories of all floors were obtained, and the errors of maximum displacements and inter-story drifts were analyzed. The robustness against environmental noise was also investigated by numerical simulations as well. The results of simulations indicate the estimation is satisfactory, and very robust against the environmental disturbance.

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“…In a later work, a time segmented least squares technique was proposed for the building and time-variant linear system properties were obtained in [9]. Recently, Yoshimoto et al [10] proposed a multiple-input multiple-output (MIMO) subspace identification method for damage detection of the base-isolated buildings.…”

Section: Introductionmentioning

confidence: 99%

Physical parameter identification of nonlinear base-isolated buildings using seismic response data

Xu¹,

Chase²,

Rodgers³

2014

Computers & Structures

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Base isolation is an increasingly applied earthquake-resistant design technique in highly seismic areas. Examination of the actual performance of isolated structures in real earthquake has become a critical issue. In this paper, a new computational method for system identification is proposed for obtaining insight into the linear and nonlinear structural properties of based-isolated buildings. A bilinear hysteresis model is used to model the isolation system and the superstructure is assumed linear. The method is based on linear and nonlinear regression analysis techniques. Response time histories are divided into different loading or unloading segments. A one-step multiple linear regression is implemented to simultaneously estimate storey stiffness and damping parameters of the superstructure. A two-step regression-based procedure is proposed to identify the nonlinear physical parameters of the isolation system. First, standard multiple linear regression is implemented to deduce equivalent linear system parameters. Analysis of the varying equivalent linear system parameters with displacement is used to distinguish linear and nonlinear segments. Second, nonlinear regression is applied for the nonlinear segments to obtain nonlinear physical parameters. A 3-storey base-isolated building was simulated to real earthquake ground motions and recorded responses were used to demonstrate the feasibility of the proposed † Corresponding author. Tel.: +86 029 88493620 E-mail address: chao_xu@nwpu.edu.cn (C. Xu), geoff.chase@canterbury.ac.nz (J. G. Chase), geoff.rodgers@canterbury.ac.nz (G. W. Rodgers).2 method. Superstructure and isolation bearing properties were identified to within 6% those of actual model value even with a SNR 30dB signal noise level. The overall method allows the simple, effective analysis of nonlinear base isolated structures. The approach to multi-degree of freedom nonlinear structures could be readily generalised to nonlinear, fixed-base, multistorey structures.

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Damage detection of base‐isolated buildings using multi‐input multi‐output subspace identification

Cited by 22 publications

References 8 publications

Parametric time‐domain identification of multiple‐input systems using decoupled output signals

Parametric time‐domain identification of multiple‐input systems using decoupled output signals

Estimation of Maximum Drift of MDOF Shear Structures Using Only One Accelerometer

Physical parameter identification of nonlinear base-isolated buildings using seismic response data

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