Experimental validation of a signal-based approach for structural earthquake damage detection using fractal dimension of time frequency feature

Tao, Dongwang; Mao, Chenxi; Zhang, Dongyu; Li, Hui

doi:10.1007/s11803-014-0271-8

Cited by 8 publications

(4 citation statements)

References 14 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The whole structure can be divided into substructures without overlapping members based on the location of sensor and the floors between two consecutive can be considered as a substructure, as shown in Figure 1. With the help of damage-induced nonlinearity detection method or prior information of the weak story [13,14] , the above divided substructures can be further identified as linear or nonlinear substructures. Consecutive Q and k R respectively.…”

Section: Divided Substructures and Corresponding Equationsmentioning

confidence: 99%

See 1 more Smart Citation

Decentralized identification of nonlinear structure under strong ground motion using the extended Kalman filter and unscented Kalman filter

Tao

2016

SPIE Proceedings

Self Cite

View full text Add to dashboard Cite

Complete structure identification of complicate nonlinear system using extend Kalman filter (EKF) or unscented Kalman filter (UKF) may have the problems of divergence, huge computation and low estimation precision due to the large dimension of the extended state space for the system. In this article, a decentralized identification method of hysteretic system based on the joint EKF and UKF is proposed. The complete structure is divided into linear substructures and nonlinear substructures. The substructures are identified from the top to the bottom. For the linear substructure, EKF is used to identify the extended space including the displacements, velocities, stiffness and damping coefficients of the substructures, using the limited absolute accelerations and the identified interface force above the substructure. Similarly, for the nonlinear substructure, UKF is used to identify the extended space including the displacements, velocities, stiffness, damping coefficients and control parameters for the hysteretic Bouc-Wen model and the force at the interface of substructures. Finally a 10-story shear-type structure with multiple inter-story hysteresis is used for numerical simulation and is identified using the decentralized approach, and the identified results are compared with those using only EKF or UKF for the complete structure identification. The results show that the decentralized approach has the advantage of more stability, relative less computation and higher estimation precision.

show abstract

Section: Divided Substructures and Corresponding Equationsmentioning

confidence: 99%

“…al. [13,14] , damage exists in Story One to Story Three, but the exact location cannot be to determined. Thus Story One to Story Three are all treated as a large nonlinear substructure.…”

Section: Numerical Studiesmentioning

confidence: 99%

Decentralized identification of nonlinear structure under strong ground motion using the extended Kalman filter and unscented Kalman filter

Tao

2016

SPIE Proceedings

Self Cite

View full text Add to dashboard Cite

show abstract

“…Various techniques (methods) have been proposed to process structural vibration responses recorded along the bridge under truckloads to locate structural damage. Some of the most important ones that could work with acceleration responses are transformer-based methods (such as the Wavelet transformer or Hilbert–Huang transformer) [ 1 , 2 , 3 , 4 , 5 , 6 , 7 , 8 ], blind source separation-based methods [ 9 , 10 , 11 , 12 , 13 , 14 ], and special averaging-based methods (e.g., random decrement technique) [ 15 , 16 , 17 , 18 , 19 , 20 ]. Although these techniques (methods) are very popular, they have difficult-to-understand mathematical backgrounds.…”

Section: Introductionmentioning

confidence: 99%

An Investigation into the Application of Acceleration Responses’ Trendline for Bridge Damage Detection Using Quadratic Regression

Kordestani,

Zhang,

Arab

2024

Sensors

View full text Add to dashboard Cite

It has been proven that structural damage can be successfully identified using trendlines of structural acceleration responses. In previous numerical and experimental studies, the Savitzky–Golay filter and moving average filter were adjusted to determine suitable trendlines and locate structural damage in a simply supported bridge. In this study, the quadratic regression technique was studied and employed to calculate the trendlines of the bridge acceleration responses. The normalized energies of the resulting trendlines were then used as a damage index to identify the location and severity of the structural bridge damage. An ABAQUS model of a 25 m simply supported bridge under a truckload with different velocities was used to verify the accuracy of the proposed method. The structural damage was numerically modeled as cracks at the bottom of the bridge, so the stiffness at the damage positions was decreased accordingly. Four different velocities from 1 m/s to 8 m/s were used. The proposed method can identify structural damage in noisy environments without monitoring the dynamic modal parameters. Moreover, the accuracy of the newly proposed trendline-based method was increased compared to the previous method. For velocities up to 4 m/s, the damage in all single- and multiple-damage scenarios was successfully identified. For the velocity of 8 m/s, the damage in some scenarios was not located accurately. Additionally, it should be noted that the proposed method can be categorized as an online, quick, and baseline-free structural damage-detection method.

show abstract

“…Chinka [7] observed that modal analysis is used easily to observe the effect of cracks on the natural frequencies and mode shapes for a range of crack locations and crack depth. Tao [8] developed a method that can be used to sense and localize damage-induced nonlinearities in structures under seismic excitation. e nonlinearity behavior of the structure, such as opening and closing of the cracks in concrete and yielding of steel, can be noticed in the real structure.…”

Section: Introductionmentioning

confidence: 99%

Mechanical Behavior of Damaged H‐Section Steel Structure

Chen

Xiang³

et al. 2021

Advances in Civil Engineering

View full text Add to dashboard Cite

Steel structures are usually damaged by disasters. According to the influence law of the damage on the elastic modulus of steel obtained by the mechanical test of damaged steel, the average elastic moduli of H-section steel members were analyzed. The equations for calculating the average elastic moduli of damaged H-section steel members at different damage degrees were obtained. By using the analytical cross-sectional method, the cross-sectional M-Φ-P relationships and the dimensionless parameter equations of the H-sections in the full-sectional elastic distribution, single-sided plastic distribution, and double-sided plastic distribution were derived. On the basis of the cross-sectional M-Φ-P relationships and dimensionless parameters of actual steel members, the approximate calculation equations for the damaged cross sections were obtained. The Newmark method was used to analyze the deformation of damaged steel columns. Analytical results show good agreement with the test results. The equations and methods proposed in this study have high computational accuracy, and these can be applied to the cross-sectional M-Φ-P relationships and deformation calculation of damaged steel members.

show abstract

Experimental validation of a signal-based approach for structural earthquake damage detection using fractal dimension of time frequency feature

Cited by 8 publications

References 14 publications

Decentralized identification of nonlinear structure under strong ground motion using the extended Kalman filter and unscented Kalman filter

Decentralized identification of nonlinear structure under strong ground motion using the extended Kalman filter and unscented Kalman filter

An Investigation into the Application of Acceleration Responses’ Trendline for Bridge Damage Detection Using Quadratic Regression

Mechanical Behavior of Damaged H‐Section Steel Structure

Contact Info

Product

Resources

About