Story-wise system identification of actual shear building using ambient vibration data and ARX model

Ikeda, Ayumi; Fujita, Kohei; Takewaki, Izuru

doi:10.12989/eas.2014.7.6.1093

Cited by 18 publications

(10 citation statements)

References 30 publications

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“…R Ali and T Okabayashi 16 applied the subspace stochastic realization theories (SSR model I and SSR model II) to a real bridge structure for obtaining initial values of dynamic characteristics. Ikeda et al 17 studied the structures in terms of story levels system identification of real shear building by environmental vibration information and ARX model. Finally, the development of complex computer programs for structural analysis has served to reinforce this belief since forces carried by individual members can be determined with high precision.…”

Section: Arasmentioning

confidence: 99%

Ambient vibration testing of existing buildings: Experimental, numerical and code provisions

Mirtaheri

Salehi

2018

Advances in Mechanical Engineering

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This article aims to identify the dynamic characteristics (natural frequency in particular) of existing buildings by experimental methods, and then, to compare the results with those reflected by several code provisions and numerical analyses. To this end, ambient vibration tests were carried out on 40 existing concrete and steel buildings in order to obtain the natural frequency of such buildings. The results were then investigated as compared with those arising from several codes and standards, and also with those obtained from numerical analyses. It can be shown in this study that the test results are significantly different from those calculated based on the codes and standards. Moreover, the effect of in-fill walls on the fundamental natural frequency of such buildings is shown. The findings of this research can be used for model calibration and revision of the existing legislations.

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Section: Arasmentioning

confidence: 99%

Ambient vibration testing of existing buildings: Experimental, numerical and code provisions

Mirtaheri

Salehi

2018

Advances in Mechanical Engineering

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“…In the previous researches (Kuwabara et al, 2013;Minami et al, 2013;Ikeda et al, 2014Ikeda et al, , 2015, the bending stiffness k b1,SB at the first story and the stiffness ratio R j ( j = 1, 2, . .…”

Section: Instability Of Identification Of Bending Stiffnessmentioning

confidence: 99%

Advanced System Identification for High-Rise Building Using Shear-Bending Model

Fujita

Takewaki

2016

Front. Built Environ.

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In order to identify physical model parameters of a high-rise building, a new story stiffness identification method is presented based on a shear-bending model and the identification function. Although a shear building model may be the simplest conventional model for representing tall buildings, the system identification (SI) method using that model is not necessarily appropriate. This is because the influence of bending deformation is predominant in such high-rise buildings. For this reason, a shear-bending model is used where the shear and bending stiffnesses are unknown. In the previous researches using the shear-bending model, it was difficult to identify the bending stiffnesses stably and reliably. In this paper, to overcome such instability of bending stiffness identification of the shear-bending model, a new SI algorithm using both the shear model and the shearbending model is presented. The proposed SI algorithm is based on the observation that the fundamental-mode shape of the identified shear model is similar to that of the shear-bending model identified in the previous SI method. In order to verify the advanced SI method, two different 20-story building models are investigated in the numerical simulations. From the results of the simulations, both the shear and bending stiffnesses of the shear-bending model are identified reliably and stably in the proposed SI method.

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“…On the other hand, Nakamura (2000, 2005) developed a unique SI concept which is originally from the work by Udwadia et al (1978) for a shear building model (S model). Although the SI method by Nakamura (2000, 2005) was innovative, an additional effort should be provided in applying to actual data represented by micro-tremors (Ikeda et al, 2014;Fujita et al, 2015;Koyama et al, 2015). This may result from the small signal/noise (SN) ratio especially in the low frequency range.…”

Section: Introductionmentioning

confidence: 99%

Stiffness and Damping Identification for Asymmetric Building Frame With In-plane Flexible Floors

Shintani

Yoshitomi

Fujita

et al. 2019

Front. Built Environ.

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In most building structures, floors with sufficient in-plane stiffness exist and an assumption of rigid in-plane stiffness is valid. However, in some building structures, an assumption of rigid in-plane stiffness does not hold. A method of system identification (SI) for physical parameters (stiffness, damping) is proposed for three-dimensional (3D) building structures with in-plane flexible floors. The stiffness and damping parameters of each vertical structural frame in the 3D building structure are identified from the measured floor horizontal accelerations together with the stiffness and damping parameters of each floor. It is shown that a batch processing least-squares estimation method for many discrete time-domain measured data enables the direct identification of both the stiffness and damping parameters of each vertical structural frame and the stiffness and damping parameters of each floor. The proposed method possesses an advantage that all stiffness and damping parameters of vertical frames and horizontal frames (floors) can be identified simultaneously without search iteration. The accuracy and reliability of the proposed method are made clear by numerical simulations for measured data without noise and measured data with noise. A method of noise elimination is proposed to enhance the identification accuracy. Finally, experiments using a shaking table are conducted for the accuracy investigation of the proposed identification method. It is confirmed that the proposed identification method possesses a reliable ability to identify the stiffness and damping parameters for 3D building structures with in-plane flexible floors.

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Story-wise system identification of actual shear building using ambient vibration data and ARX model

Cited by 18 publications

References 30 publications

Ambient vibration testing of existing buildings: Experimental, numerical and code provisions

Ambient vibration testing of existing buildings: Experimental, numerical and code provisions

Advanced System Identification for High-Rise Building Using Shear-Bending Model

Stiffness and Damping Identification for Asymmetric Building Frame With In-plane Flexible Floors

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