Damage Detection Techniques to Identify the Unknown Damage Parameters from the Structural Response Data in Beam: A Review

Patel, Bhawna; Dewangan, U. K.

doi:10.1007/978-981-15-5195-6_13

Cited by 6 publications

(3 citation statements)

References 11 publications

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“…Various methods have been proposed based on the mode shape response and its derivatives, such as the modal assurance criterion (MAC), cumulative damage factor method (CDF), mode shape based damage index method (MSDI), coordinate modal assurance criterion (COMAC), mode shape difference method (MSD), machine learning-based approaches, mode shape curvature method (MSC), and many more [3][4][5][6][7][8][9][10][11][12][13][14][15]. In addition, various other techniques are employed which are not modal parameter based, such as the wave propagation based approach, neural networking, machine learning and frequency response function (FRF) method [16][17][18]. The aforementioned techniques are limited to predicting and locating the damage.…”

Section: Introductionmentioning

confidence: 99%

Mode Shape Change Based System Identification: An Improvement using Distribute Computing and Roving Technique

Patel

Dewangan

2023

IJE

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Section: Introductionmentioning

confidence: 99%

Mode Shape Change Based System Identification: An Improvement using Distribute Computing and Roving Technique

Patel

Dewangan

2023

IJE

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“…The vibration based structural system identification, for damage identification and localization, has also been used by many researchers. But, not all cases can be adequately assessed using this method [2]. When damage starts occurring and further when it grows, the stiffness is reduced and the stability of the structure is also affected.…”

Section: Introductionmentioning

confidence: 99%

The Behaviour of Wave Propagation for Structural System Identification: A Comparative Study

Patel

Dewangan

2022

IJE

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The way a wave behaves, while propagating across a medium, varies with the wave type and the medium. So, knowledge of the behaviour of a wave in a system with a different form of damage, and behaviour of different types of waves in a particular system is an essential prerequisite for almost all activities in structural system identification and mainly for damage detection and localization of damage. This paper presents a comparative study of various wave propagations, that has been done by researchers in various structural systems. Further, a numerical model of an isotropic plate using finite element is created both with and without damage. The behaviour of waves has been studied. Finally, the comparative result is shown. This paper offers a new perspective for ongoing research by providing the most recent developments, difficulties, and prospects of wave propagation behaviours for damage detection and localization in the commonly used structural systems and structural elements. While propagating through different structural systems and components, the most used waves, which are (a) Shear wave, (b) Rayleigh wave, (c) Ultrasonic wave and (d) Lamb wave, have been thoroughly investigated. Along with several difficult problems for future growth, the summarized observations are provided.

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“…At present, the modal parameter-based method is most widely used for damage identification of structures [2][3][4][5][6][7][8]. Pandy et al [9] firstly realized the damage location of simply supported beams via curvature mode and quantified the damage degree using the change value of curvature mode.…”

Section: Introductionmentioning

confidence: 99%

Corrosion Damage Identification of Towering Steel Headframe Based on Parametric Modeling and Data Fusion

Zhang

Chang

et al. 2022

Buildings

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The mine hoisting headframe is a typical towering truss structure, and its damage is complicated after long-term service, which affects the safety of the structure. To achieve rapid identification of corrosion damage on a towering steel headframe, the degradation law of headframe under different damage was analyzed via parametric modeling method and verified via field measurement. The results show that the influence range of element corrosion damage is localized, and a 50% corrosion rate of the bottom column will lead to a collapse risk of the headframe. After that, the single index method, of superimposed curvature mode difference and modal flexibility difference curvature, is used to identify corrosion damage of headframe column. The results indicate that the single index method is susceptible to interference in the undamaged position and leads to error identification. The improved multi-index data fusion damage identification method based on D-S evidence matrix is proposed, through which the multi-position damages in headframe structure can be identified accurately. Compared to the one-stage fusion method, the improved two-stage fusion method is more robust, with an increase of 42.9% in identification accuracy, and a reduction of 75% in misjudgment.

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Damage Detection Techniques to Identify the Unknown Damage Parameters from the Structural Response Data in Beam: A Review

Cited by 6 publications

References 11 publications

Mode Shape Change Based System Identification: An Improvement using Distribute Computing and Roving Technique

Mode Shape Change Based System Identification: An Improvement using Distribute Computing and Roving Technique

The Behaviour of Wave Propagation for Structural System Identification: A Comparative Study

Corrosion Damage Identification of Towering Steel Headframe Based on Parametric Modeling and Data Fusion

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