Damage detection in structural element through propagating waves using radially weighted and factored RMS

Saravanan, T. Jothi; Gopalakrishnan, N.; Rao, N. Prasad

doi:10.1016/j.measurement.2015.06.015

Cited by 53 publications

(29 citation statements)

References 20 publications

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“…The vibration energy distribution is the basis for a simple but very efficient technique that utilizes the calculation of a root mean square (RMS). Recently, the RMS has been successfully used to detect defects in aluminium plates [14][15][16], delamination in a composite T-joint [17], disbonds in a stiffened panel [18], notches and corrosion areas in aluminium plates [19], disbond inserts in composite elements [20] and voids in adhesive joints [7]. The root mean square for a continuous signal s(t) is calculated with respect to the formula:…”

Section: Root Mean Squarementioning

confidence: 99%

Detection of debonding in adhesive joints using Lamb wave propagation

2019

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Adhesively bonded joints are widely used in many branches of industry. Mechanical degradation of this type of connections does not have significant symptoms that can be noticed during visual assessment, so non-destructive testing becomes a very important issue. The paper deals with experimental investigations of adhesively bonded steel plates with different defects. Five samples (an intact one and four with damages in the form of partial debonding) were prepared. The inspection was conducted with the use of guided wave propagation method. Lamb waves were excited at one point of the sample, whereas the out-of-plane velocity signals were recorded in a number of points spread over the area of overlap. The processing of signals consisted of calculations of weighted root mean square (WRMS). The results of the analysis showed that the WRMS maps allow for identification and determination of size and shape of debonding areas.

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Section: Root Mean Squarementioning

confidence: 99%

Detection of debonding in adhesive joints using Lamb wave propagation

2019

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“…This processing technique depends on the calculation of the weighted root mean square for each registered time signal and the creation of a damage map. The WRMS for a time signal s(t) can be defined as follows [25,26,30,33,36]…”

Section: Weighted Root Mean Square Damage Imagingmentioning

confidence: 99%

“…This method was improved to be more applicable for damage detection by defining the weighted root mean square (WRMS) method [30]. Recently, the RMS has been successfully used in various damage detection applications [25,26,[31][32][33][34][35][36].Żak et al [30] investigated aluminum and composite plates as well as composite elements of a helicopter, all with the damage being simulated by an additional mass. They concluded that better resolution in WRMS maps corresponded to higher values of the weighting factor (linear or square).…”

Section: Introductionmentioning

confidence: 99%

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Damage Imaging in Lamb Wave-Based Inspection of Adhesive Joints

2018

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Adhesive bonding has become increasingly important in many industries. Non-destructive inspection of adhesive joints is essential for the condition assessment and maintenance of a structure containing such joints. The aim of this paper was the experimental investigation of the damage identification of a single lap adhesive joint of metal plate-like structures. Nine joints with different defects in the form of partial debonding were considered. The inspection was based on ultrasonic guided wave propagation. The Lamb waves were excited at one point of the analyzed specimen by means of a piezoelectric actuator, while the guided wave field was measured with the use of a laser vibrometer. For damage imaging, the recorded out-of-plane vibrations were processed by means of the weighted root mean square (WRMS). The influence of different WRMS parameters (i.e., the time window and weighting factor), as well as excitation frequencies, were analyzed using statistical analysis. The results showed that two-dimensional representations of WRMS values allowed for the identification of the presence of actual defects in the adhesive film and determined their geometry.

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“…Due to the fact that the scanning process is much more efficient when scanned surface is flat, smooth and laser light is not scattered, the RMS method is usually applied for detection and visualization the damage in plate or shell-like metallic structures with the clearly visible damage in the form of e.g. attached mass, missing bolts hole or damage located near the surface [16]. In the case of reinforced beams with debonding inside the structure, it is impossible to scan the damage directly.…”

Section: Introductionmentioning

confidence: 99%

RMS-based damage detection in reinforced concrete beams: numerical simulations

Zima¹,

Kędra²

2019

Diagnostyka

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Image-based damage detection methods using guided waves are well known and widely applied approaches in structural diagnostics. They are usually utilized in detection of surface damages or defects of plate-like structures. The article presents results of the study of applicability of imaging wave-based methods in detection in miniscule internal damage in the form of debonding. The investigations were carried out on numerical models of reinforced concrete beams with varying size of circumferentially oriented debonding between steel rod and concrete block. Maps created using root mean square of measured signals are presented. Moreover, the results were collected for two different excitation frequencies.

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Damage detection in structural element through propagating waves using radially weighted and factored RMS

Cited by 53 publications

References 20 publications

Detection of debonding in adhesive joints using Lamb wave propagation

Detection of debonding in adhesive joints using Lamb wave propagation

Damage Imaging in Lamb Wave-Based Inspection of Adhesive Joints

RMS-based damage detection in reinforced concrete beams: numerical simulations

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