Capacity-curve-based damage evaluation approach for reinforced concrete buildings using seismic response data

Pan, Haoran; Kusunoki, Koichi; Hattori, Yuki

doi:10.1016/j.engstruct.2019.109386

Cited by 19 publications

(11 citation statements)

References 32 publications

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“…Notice that careful attention should be paid to the displacements that are estimated from the double integration of accelerations with proper signal filtering, as this method may induce errors in estimating the residual displacements. 35 In addition, K eff is the secant stiffness coefficient evaluated at the force fj xmax with the maximum displacement x max :…”

Section: Damage Evaluation Of An Rc Shear Wallmentioning

confidence: 99%

Damage tracking and hysteresis‐based evaluation of seismic‐excited RC shear wall using monitoring data

Shan,

Wang,

Loong

et al. 2023

Structural Design Tall Build

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SummaryReinforced concrete (RC) shear walls play an important role as the seismic resisting system in tall buildings. Yet, assessing the seismic damage of real‐world shear walls remains a challenging task. In this study, a damage index that relies on the vibration data measured by the sensors embedded in the structure is proposed to evaluate the damage condition of shear walls. The damage index is formed by the linear combination of two normalized terms, which, respectively, characterize the peak and the cumulative damages of the shear walls with little knowledge of real‐life structural hysteresis. The damage tracking and evaluation based on the substructure level and the story level are discussed. The damage indices evaluated using the hysteretic loops made by the shear and bending information of the shear wall are further compared. The feasibility of the proposed damage index is examined using a numerically simulated 12‐story coupled shear wall structure. It is then applied to analyze the experiments regarding the damage condition of RC shear walls under earthquakes. Results show that the proposed damage index can track the damage states of RC shear walls under seismic excitations. Analysis suggests that the proposed damage index could trace and distinguish the progression of shear and flexural damages, which potentially supports the post‐earthquake structural safety management.

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Section: Damage Evaluation Of An Rc Shear Wallmentioning

confidence: 99%

Damage tracking and hysteresis‐based evaluation of seismic‐excited RC shear wall using monitoring data

Shan,

Wang,

Loong

et al. 2023

Structural Design Tall Build

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“…This is done by: (i) decomposing the acceleration recordings of each floor using the DWT, (ii) obtaining the relative floor acceleration and displacement response for each decomposition level, (iii) simplifying the multi-degree-of-freedom response into an equivalent single-degree-offreedom response for each decomposition level, (iv) using the equivalent response of each decomposition level to identify which should be eliminated, and (v) re-computing the equivalent single-degree-of-freedom response using the remaining decomposition levels. Examples of the application are available in literature [2,3,8].…”

Section: Example Of Applicationmentioning

confidence: 99%

“…Nevertheless, the main problems which usually occur are: (1) an inability to distinguish frequencies of noise and signal, (2) the change of noise characteristics in time, and (3) a need to estimate and pre-select the parameters of the chosen filter function. These issues are avoided if wavelets are used for signal processing, and this fact was recognized by researchers and engineers [2,3]. In mathematical terms, wavelets are wavelike functions that satisfy certain requirements, and they are used to transform a signal into a representation which shows the information of the signal in a more useful form.…”

Section: Introductionmentioning

confidence: 99%

Application of Wavelet Transforms on Acceleration Records: Practical Approach

Vukobratović¹,

Yeow²,

Kusunoki³

2021

Proceedings of the 8th International Conference on Computational Methods in Structural Dynamics and Earthquake Engineering (COM

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Building floor accelerations recorded during earthquakes represent valuable data which contribute to the improved understanding of structural dynamic behavior and the state of the art and practice. After recording, all accelerations are considered to be "raw" (or unprocessed, uncorrected, unfiltered), and need to be processed before they can be used. In practice, the most common approach is to apply the conventional high-and low-pass filtering methods. However, some records cannot be corrected in such a manner and remain practically useless. The problems which may occur when conventional filtering methods are applied are: (1) inability to distinguish frequencies of noise and signal, (2) change of noise characteristics in time, and (3) a need to estimate and pre-select the parameters of a chosen filter function. These issues can be avoided if wavelets are used for signal processing. In mathematical terms, wavelets are finite wave-like functions which are able to capture local changes, and are used to transform a signal into a representation which shows its properties in the timefrequency domain. Such transformation is known as a wavelet transform. The continuous wavelet transform (CWT) was applied to recordings obtained from a 3-storey reinforced concrete building shake table test performed at the E-Defense facility in Kobe, Japan. It was demonstrated that the CWT represents a useful tool for the visual interpretation of the energy localization in the time-frequency domain, and that there is a large potential for the CWT application in earthquake engineering.

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“…An advantage of this procedure is that only floor masses, acceleration recordings, and recording time‐step are needed. The procedure had been shown to capture the behavior of test specimens and existing multistory buildings well, 19,22–24 and modifications to address cases where sensors were not placed on all floors of a building were proposed 23 …”

Section: Introductionmentioning

confidence: 99%

Unbiased rank selection for automatic hysteretic response extraction of RC frame buildings using acceleration recordings for post‐earthquake safety evaluations

Yeow

Kusunoki

2021

Earthq Engng Struct Dyn

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A framework to extract a building's hysteretic response based on decomposing floor acceleration recordings into different ranks (i.e., decomposition levels) using the discrete wavelet transform (DWT) and then reconstructing signals considering only ranks which corresponded to the building's predominant response mode was recently proposed. However, current rank selection approaches require subjective judgment. This study looks to develop an unbiased rank selection method to enable automation of the hysteresis extraction framework for easier adoption in practice. The selection methodology was developed using response history analysis of several multistory reinforced concrete (RC) frame buildings and validated using data from large‐scale shake‐table tests performed at the E‐Defense testing facility. It was observed that the proposed approach was able to accurately capture the response of RC frame buildings well in majority of cases. The exception to this was for significantly damaged buildings as the use of double integration of accelerations to estimate displacements and the DWT method meant that residual deformations were not well captured. However, significant strength degradation was still observed in the extracted hysteresis behavior for these cases, and thus these buildings would have been correctly classified as being heavily damaged. The step‐by‐step process to automatically select ranks is presented in the paper, and possible revenues for further improvement of the hysteretic response extraction framework are discussed.

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Capacity-curve-based damage evaluation approach for reinforced concrete buildings using seismic response data

Cited by 19 publications

References 32 publications

Damage tracking and hysteresis‐based evaluation of seismic‐excited RC shear wall using monitoring data

Damage tracking and hysteresis‐based evaluation of seismic‐excited RC shear wall using monitoring data

Application of Wavelet Transforms on Acceleration Records: Practical Approach

Unbiased rank selection for automatic hysteretic response extraction of RC frame buildings using acceleration recordings for post‐earthquake safety evaluations

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