A New Structural Damage Identification Method Based on Wavelet Packet Energy Entropy of Impulse Response

He, Chu; Xing, Jianchun; Li, Juelong; Wei, Qian; Zhang, Xun

doi:10.2174/1874149501509010570

Cited by 8 publications

(4 citation statements)

References 13 publications

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“…To identify the location of damage of the structure, a method based on singular spectrum entropy and impulse response was proposed by Li et al [10]. The method for damage localization and determining the degree of damage using the relative variation rate of wavelet packet energy entropy was also proposed by He et al [11]. Different from the above, this study proposes using WSSE for damage identification.…”

Section: Analysis and Discussionmentioning

confidence: 99%

“…Furthermore, the accuracy of the method is validated based on the identification of the location of damage. He et al [11] perform a finite element analysis on a pile structure, by calculating the relative variation in the distribution of wavelet packet energy entropy bearing the impulse response, and the relative variation is used as a recognition feature parameter for identifying the location of damage and degree of damage of the pile structure. However, experimental verification is not performed for the pile structure.…”

Section: Introductionmentioning

confidence: 99%

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Damage Identification in Timber Structures Based on Wavelet Singular Spectrum Entropy

Sheng-cai

Zhang

Tang

et al. 2018

Mathematical Problems in Engineering

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Vibration responses of building structure closely related to the structural health status. In this paper, wavelet singular spectrum entropy (WSSE) is proposed to evaluate the damage condition of building structure. A 1/3 scaled model of a Chinese ancient timber structure has been constructed, and three damage conditions and one restored condition of the structure are simulated. The acceleration responses for undamaged and the four simulated damaged and restored conditions are measured and analyzed by employing WSSE to identify the location at which the structure has incurred damage. Results show that (1) the relative variation rate of WSSE for the damaged position changes significantly; (2) the relative variation rate of WSSE of the point that is damaged more severely would become higher; and (3) signals of North-South and East-West directions are required for further identification. Moreover, a finite element modeling analysis of the timber structure under different damage conditions is performed, and the results verify the applicability of the method proposed.

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Section: Analysis and Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Damage Identification in Timber Structures Based on Wavelet Singular Spectrum Entropy

Sheng-cai

Zhang

Tang

et al. 2018

Mathematical Problems in Engineering

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“…They emphasized that the method was sensitive to slight damage and suitable for highly nonlinear and nonstationary random response data due to the multiresolution signal analysis feature of CWT. He et al [41] presented a wavelet packet energy entropy based method for structural damage identification using impulse responses. They experimentally revealed that the proposed wavelet packet energy entropy based method was capable of identifying single and multiple damage in pile structures.…”

Section: Introductionmentioning

confidence: 99%

Wavelet Packet Singular Entropy-Based Method for Damage Identification in Curved Continuous Girder Bridges under Seismic Excitations

Cao

Deng

et al. 2019

Sensors

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Curved continuous girder bridges (CCGBs) have been widely adopted in the civil engineering field in recent decades for complex interchanges and city viaducts. Unfortunately, compared to straight bridges, this type of bridge with horizontal curvature is relatively vulnerable to earthquakes characterized by large energy and short duration. Seismic damage can degrade the performance of CCGBs, threatening their normal operation and even resulting in collapse. Detection of seismic damage in CCGBs is thus significantly important but is still not well resolved. To this end, a new method based on wavelet packet singular entropy (WPSE) is proposed to identify seismic damage by analyzing the dynamic responses of CCGBs to seismic excitation. This WPSE-based approach features characterizing damage using synergistic advantage of the wavelet packet transform, singular value decomposition, and information entropy. To testify the algorithm, a finite element model of a typical CCGB with two types of seismic damage is built, in which the seismic damage is individually modeled by stiffness reductions at the bottom of piers and at pier-girder connections. The displacement responses of the model to El Centro seismic excitation is used to identify the damage. The results show that damage indices in the WPSE-based approach can correctly locate the seismic damage in CCGBs. Furthermore, the WPSE-based method is competent to identify damage with higher accuracy in comparison with the wavelet packet energy based method, and has a strong immunity to noise revealed by robustness analysis. An array of responses used in this approach paves the way of developing practical technologies for detecting seismic damage using advanced distributed sensing techniques, typically the optical sensors.

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“…Since steel bridges su er from complex working conditions during their service life, heavy working loads and other e ects damage structures and accelerate the development of damages. With the accumulation of damages to structures, the safety of both the structure and human life can be threatened and may directly result in tragedies of life and property [1,2]. Therefore, structural damage identi cation has become an important research topic in the engineering protection eld [3].…”

Section: Introductionmentioning

confidence: 99%

A Modified Wavelet Energy Rate Based Damage Identification Method for Steel Bridges

et al. 2018

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Strain is sensitive to damage, especially in steel structures. However, a traditional strain gauge does not t bridge damage identi cation because it only provides the strain information of the point, where it is set up. While traditional strain gauges su er from drawbacks, a long-gage FBG strain sensor is capable of providing the strain information of a certain range, in which all the damage information within the sensing range can be re ected by the strain information provided by FBG sensors. The wavelet transform is a new way to analyze the signals, capable of providing multiple levels of details and approximations of the signal. In this paper, a wavelet packet transform-based damage identi cation is proposed to identify the steel bridge damage numerically and with experimentally to validate the proposed method. The strain data obtained via long-gage FBG strain sensors are transformed into a modi ed wavelet packet energy rate index rst to identify the location and severity of damage. The results of numerical simulations show that the proposed damage index is a good candidate that is capable of identifying both the location and severity of damage under noise e ect.

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A New Structural Damage Identification Method Based on Wavelet Packet Energy Entropy of Impulse Response

Cited by 8 publications

References 13 publications

Damage Identification in Timber Structures Based on Wavelet Singular Spectrum Entropy

Damage Identification in Timber Structures Based on Wavelet Singular Spectrum Entropy

Wavelet Packet Singular Entropy-Based Method for Damage Identification in Curved Continuous Girder Bridges under Seismic Excitations

A Modified Wavelet Energy Rate Based Damage Identification Method for Steel Bridges

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