Physical parameters identification for full‐scale ten‐story reinforced concrete building with degrading tri‐linear model by modal iterative error correction method

Uesaka, Takuya; Nabeshima, Kunihiko; Nakamura, Naohiro; Suzuki, Takuya

doi:10.1002/eqe.3560

Cited by 6 publications

(4 citation statements)

References 26 publications

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“…This section presents an overview of the parameter identification flow using the MIEC method, according to the framework of a previous study (Uesaka et al, 2021b). For detailed steps of inverse analysis using MIEC, refer to previous research (e.g., Suzuki, 2018;2019).…”

Section: Miec Methodsmentioning

confidence: 99%

“…The MIEC method is a general-purpose inverse analysis method used for input and output (I-O) systems. This method has been reported to estimate effectively the physical parameters of superstructures, including nonlinear characteristics, and the rotational input of a shaking table (Suzuki and Tojo, 2020;Uesaka et al, 2021a;Uesaka et al, 2021b). The proposed framework was applied to the SR model, and the physical parameters related to the stiffness and damping of superstructures and dynamic soil springs in the soil-structure interaction system were collectively identified.…”

Section: Introductionmentioning

confidence: 99%

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Evaluation of stiffness and damping of a base-isolated building considering higher-order modes

Tojo,

Suzuki,

Nakai

2024

Front. Built Environ.

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Introduction: Structural health monitoring (SHM) is an effective method of understanding the seismic safety of seismic design models and the continued use of buildings after earthquakes. Various system identification methods applicable to SHM have been proposed; however, most target only superstructures. Their applicability for evaluating the soundness of foundations and soil structures should also be examined. In addition, evaluating high-order modes in addition to low-order modes is necessary to capture changes in the vibration characteristics of superstructures, foundations, and soil structures. However, the impact of considering higher-order modes on the identification results has not been sufficiently evaluated. This study aims to address these issues by clarifying the importance of considering higher-order modes and proposing a method that can contribute to improving the accuracy of future building health evaluation methods.Methods: This study proposes a method of evaluating the stiffness and damping of a superstructure and dynamic soil spring considering low-order to high-order modes using the efficient transfer function fitting system for a base-isolated (BI) building. First, numerical experiments were performed to examine the accuracy of the proposed method in evaluating the stiffness and damping of each part when using acceleration data from limited observation points. Furthermore, this method was applied to an existing BI building subjected to the 2011 off the Pacific Coast of Tohoku Earthquake (2011 Tohoku Earthquake) to identify each parameter while considering higher-order modes. In addition, secular changes and the amplitude dependence of each structure were analyzed.Results: The results showed that the stiffness and damping of the seismic isolation layer, superstructure, and dynamic soil spring were stable with little variation owing to aging; however, the influence of amplitude dependence was relatively large.Conclusion: The significance of considering higher-order modes in evaluations of the soundness of foundations and soil structures was demonstrated. Moreover, the response characteristics of earthquakes recorded from 2007, before the 2011 Tohoku Earthquake, up to 2023 were accurately reproduced through numerical simulation by considering the amplitude dependence of the identified physical parameters based on the proposed identification framework.

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Section: Miec Methodsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Evaluation of stiffness and damping of a base-isolated building considering higher-order modes

Tojo,

Suzuki,

Nakai

2024

Front. Built Environ.

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“…Previous research has broadly classified time‐domain physical parameter identification considering the nonlinear characteristics of structures into two methods: an identification method based on a sequential linear approximation 16–20 and a direct identification method based on a nonlinear model 21–31 . The former method has the advantage of being relatively simple and easy to implement.…”

Section: Introductionmentioning

confidence: 99%

“…Previous research has broadly classified time-domain physical parameter identification considering the nonlinear characteristics of structures into two methods: an identification method based on a sequential linear approximation [16][17][18][19][20] and a direct identification method based on a nonlinear model. [21][22][23][24][25][26][27][28][29][30][31] The former method has the advantage of being relatively simple and easy to implement. However, the degree and type of nonlinearity, and the resolution of the time domain, significantly impact its accuracy and reliability.…”

Section: Introductionmentioning

confidence: 99%

Damage detection based on stiffness identification in time domain for poly‐linear hysteresis using sparse modeling

Nabeshima

2023

Earthq Engng Struct Dyn

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The physical parameter identification of the dynamic mechanical model, such as stiffness identification, provides some valuable information for detecting post‐earthquake damage to building structures. During an earthquake, tracking changes in stiffness on the skeleton curve can be effective. It would also be helpful as an approximate evaluation if the method could be applied to structures with arbitrary poly‐linear hysteresis characteristics. However, previous research has not identified any poly‐linear hysteresis characteristics in a unified formulation. This paper proposes a new stiffness identification method in the time domain for building structures with any poly‐linear hysteresis characteristics using sparse modeling. The validity of the proposed method was investigated through numerical simulations and a full‐scale shaking table test.

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Shape optimization of Hourglass-shaped damper using Fe-Mn-Si-Based alloy considering target Load-displacement relationship and target fatigue characteristics

Suzuki

Motomura

Kinoshita

et al. 2023

Construction and Building Materials

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Physical parameters identification for full‐scale ten‐story reinforced concrete building with degrading tri‐linear model by modal iterative error correction method

Cited by 6 publications

References 26 publications

Evaluation of stiffness and damping of a base-isolated building considering higher-order modes

Evaluation of stiffness and damping of a base-isolated building considering higher-order modes

Damage detection based on stiffness identification in time domain for poly‐linear hysteresis using sparse modeling

Shape optimization of Hourglass-shaped damper using Fe-Mn-Si-Based alloy considering target Load-displacement relationship and target fatigue characteristics

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