Detection and localisation of damage in bridge model by spatial wavelet based approach

Reddy, D. Mallikarjuna; Jayaprakash, G.; Swarnamani, S.

doi:10.1504/ijmic.2008.019354

Cited by 9 publications

(5 citation statements)

References 9 publications

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“…Rucka and Wilde [16] suggested this method is suitable for bridge like structure, and shows the effective of continuous wavelet S transform in the process of damage detection. Reddy and Swarnamani [17] proposed Frequency response function curvature energy based damage index for damage detection in plate like structures. Reddy and Swarnamani [18] discussed how the strain energy modal data is processed through wavelet method and the effectiveness of the wavelet transform in the damage detection in beam and plate like structure explained.…”

Section: Introductionmentioning

confidence: 99%

A Novel Method to Estimate the Damage Severity Using Spatial Wavelets and Local Regularity Algorithm

Reddy

2020

Frattura Ed Integrità Strutturale

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In the process of structural damage detection using continuous wavelet transform (CWT), the perturbation or damage is located by identifying the defects locally in the input signal data. In this work the damage identification procedure using continuous wavelet transform is developed. This method is studied numerically using a simple beam model. The influence of reduced spatial sampling using fundamental mode shape is investigated in detail. The method is also investigated to ascertain the smallest level of damage identified using strain energy mode shape data.

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Section: Introductionmentioning

confidence: 99%

A Novel Method to Estimate the Damage Severity Using Spatial Wavelets and Local Regularity Algorithm

Reddy

2020

Frattura Ed Integrità Strutturale

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“…Continuous wavelet transform are able to detect the multi damage present in the structure [11]. In a bridge like structure shows the effective of continuous wavelet transform in damage detection [13]. FRF curvature energy damage index method proposed for damage detection in plate like structures [16].…”

Section: Introductionmentioning

confidence: 99%

“…In a bridge like structure shows the effective of continuous wavelet transform in damage detection [13]. FRF curvature energy damage index method proposed for damage detection in plate like structures [16]. The strain energy data is used for wavelet transform and show the effectiveness of the wavelet transform in the damage detection in plate structure [17].…”

Section: Introductionmentioning

confidence: 99%

Performance Comparison of Different Wavelet Families Based on Vibration Damage Detection of a Timoshenko Beam

K¹,

Reddy²

2019

International Journal of Applied Engineering Research

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The objective of this work focuses on performance comparison of different wavelet families based on vibration damage detection in a Timoshenko beam structure. Module 1 considers only rotational damaged data only. Module 2 considers the difference data between undamaged and damaged beam structure. Wavelet properties are important factor for wavelet selection process to applicable area. The different types of continuous wavelet transform like daubechies, symlets, Coiflets, Gaussian, dmeyer, morlet, biorsplines, reverse bior are used. The rectangular beam is modeled numerically. The modal analysis is performed in a Timoshenko beam with two ends clamped boundary condition. The natural frequency and mode shapes of different damaged conditions are obtained. Damage is created by diminishing the young's modulus value percentage of single or multiple element, Rotational mode shape data's are effective in damage detection up to damage case 2, and Difference data of rotational mode shape data's are effective all damage cases. Gaussian white noise SNR (Sound Noise ratio) 24 added with difference data, noise affected the damage detection algorithm performances in least damage case 6 and triple damage case 8. Damage localize by sym3, dmey, bior6.8 wavelets are effective comparing to all other wavelet families. The absolute wavelet coefficients are used for damage localization and the maximum absolute wavelet coefficient are intended for identifying the damage severity.

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“…Douka et al [22] and Loutridis et al [23] introduced an intensity factor that estimates the size of the crack from the coefficients of the CWT. e Lipschitz (Hoelder) exponent (α) and intensity factor (K) were derived from the CWT coefficients to quantify the relationship between the damage and the change in the wavelet coefficients derived from modal and elemental strain energy data [24]. Chen et al [25] employed a Lipschitz exponent to quantify the signal singularity of the acceleration responses of a fivestorey building model using the CWT analysis.…”

Section: Introductionmentioning

confidence: 99%

Wavelet Transform-Based Damage Identification in Bladed Disks and Rotating Blades

Rajendran

Jamia

El-Borgi

et al. 2018

Shock and Vibration

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Blade vibration and blade clearance are effective diagnostic features for the identification of blade damage in rotating machines. Blade tip-timing (BTT) is a noncontact method that is often used to monitor the vibration and clearance of blades in a rotating machinery. Standard signal processing of BTT measurements give one blade response sample per revolution of the machine which is often insufficient for the diagnosis of damage. This paper uses the raw data signals from the sensors directly and employs a wavelet energy-based mistuning index (WEBMI) to predict the presence and locations of damage in rotating blades. The Lipschitz exponent is derived from the wavelet packet coefficients and used to estimate the severity of the damage. In this study, experiments were conducted to obtain BTT measurements on rotating blades at 100 rpm using three different sensors: an active eddy current sensor, a passive eddy current sensor, and an optical sensor. In addition, hammer excitation experiments were conducted for various added mass (damage) cases to compute the damage severity for a bladed disk. To simulate the damage experimentally in the bladed disk and rotating blades, masses were added to the blades to alter their dynamics and mimic the damage. The results indicate that the WEBMI can detect the presence and location of damage in rotating blades using measurements from common BTT sensors. To check the robustness of the proposed damage severity index, the experimental results were compared with numerical simulation for the bladed disk and showed good agreement.

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Detection and localisation of damage in bridge model by spatial wavelet based approach

Cited by 9 publications

References 9 publications

A Novel Method to Estimate the Damage Severity Using Spatial Wavelets and Local Regularity Algorithm

A Novel Method to Estimate the Damage Severity Using Spatial Wavelets and Local Regularity Algorithm

Performance Comparison of Different Wavelet Families Based on Vibration Damage Detection of a Timoshenko Beam

Wavelet Transform-Based Damage Identification in Bladed Disks and Rotating Blades

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