Frequency-based experimental and theoretical identification of multiple cracks in straight pipes filled with fluid

Murigendrappa, S. M.; Maiti, Sukumar; Srirangarajan, H.R.

doi:10.1016/j.ndteint.2003.11.009

Cited by 38 publications

(11 citation statements)

References 26 publications

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“…This method is based on the transfer matrix method and extends the scope of the approximate method given by Liang et al [11] for a single segment beam to multi-segment beams. Murigendrappa et al [17,18] later applied Patil and Maiti's approach to single/multiple crack detection in pipes filled with fluid.…”

Section: The Inverse Problemmentioning

confidence: 99%

Vibration-based Damage Identification Methods: A Review and Comparative Study

Fan

Qiao

2010

Structural Health Monitoring

1,628

215

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A comprehensive review on modal parameter-based damage identification methods for beam-or plate-type structures is presented, and the damage identification algorithms in terms of signal processing are particularly emphasized. Based on the vibration features, the damage identification methods are classified into four major categories: natural frequency-based methods, mode shape-based methods, curvature mode shape-based methods, and methods using both mode shapes and frequencies, and their merits and drawbacks are discussed. It is observed that most mode shape-based and curvature mode shape-based methods only focus on damage localization. In order to precisely locate the damage, the mode shape-based methods have to rely on optimization algorithms or signal processing techniques; while the curvature mode shape-based methods are in general a very effective type of damage localization algorithms. As an implementation, a comparative study of five extensively-used damage detection algorithms for beam-type structures is conducted to evaluate and demonstrate the validity and effectiveness of the signal processing algorithms. This brief review aims to help the readers in identifying starting points for research in vibration-based damage identification and structural health monitoring and guides researchers and practitioners in better implementing available damage identification algorithms and signal processing methods for beam-or plate-type structures.

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Section: The Inverse Problemmentioning

confidence: 99%

Vibration-based Damage Identification Methods: A Review and Comparative Study

Fan

Qiao

2010

Structural Health Monitoring

1,628

215

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“…In these methods mentioned above, the natural frequencies are the most attractive as it is relatively easy to measure [4,5,6,7,8]. Compared with it, the appealing feature of mode shapes is that its distributing characteristic allows customers to assess damage with high spatial resolution.…”

Section: Introductionmentioning

confidence: 99%

The Detection of the Pipe Crack Utilizing the Operational Modal Strain Identified from Fiber Bragg Grating

Wang

Liu

et al. 2019

Sensors

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The small and light-weight pipeline is widely used in hydraulic system for aerospace engineering. The crack is one of the most common failures in the pipelines so that its incipient detection can further avoid the catastrophic damage of the piping system. The electrical and piezoelectric sensors are conventionally used for the structural health monitoring (SHM), while these are not suitable for the cascaded pipelines in harsh environment because the added mass will change the modal characteristics of the cascaded pipelines. The Fiber Bragg Grating (FBG) sensor with light-weight, multiplexed, and anti-electromagnetic interference properties, are employed to obtain the modal strain transmissibility with a novel diagram of the operational modal analysis (OMA). Based on the OMA an enhanced damage indicator is proposed to detect the crack. After going through analytical modeling, finite element modeling (FEM) and its corresponding experiments, it is concluded that the presented method is effective and accurate to detect and locate the crack.

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“…Salley and Pan [1] investigated the dynamic behavior of curved steel pipes by focusing on the natural frequencies and mode shapes. Different excitation sources like impact hammer [2][3][4], shaker etc. Have been used in the modal testing of beam, pipe and plate structures made of metals.…”

Section: Introductionmentioning

confidence: 99%

Dynamic Testing of a Pre-stretched Flexible Tube for Identifying the Factors Affecting Modal Parameter Estimation

Unnikrishnan¹,

Rajan²,

Raghunathan³

et al. 2016

J. Inst. Eng. India Ser. C

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Experimental modal analysis is the primary tool for obtaining the fundamental dynamic characteristics like natural frequency, mode shape and modal damping ratio that determine the behaviour of any structure under dynamic loading conditions. This paper discusses about a carefully designed experimental method for calculating the dynamic characteristics of a pre-stretched horizontal flexible tube made of polyurethane material. The factors that affect the modal parameter estimation like the application time of shaker excitation, pause time between successive excitation cycles, averaging and windowing of measured signal, as well as the precautions to be taken during the experiment are explained in detail. The modal parameter estimation is done using MEscopeVESTM software. A finite element based pre-stressed modal analysis of the flexible tube is also done using ANSYS ver.14.0 software. The experimental and analytical results agreed well. The proposed experimental methodology may be extended for carrying out the modal analysis of many flexible structures like inflatables, tires and membranes.

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Frequency-based experimental and theoretical identification of multiple cracks in straight pipes filled with fluid

Cited by 38 publications

References 26 publications

Vibration-based Damage Identification Methods: A Review and Comparative Study

Vibration-based Damage Identification Methods: A Review and Comparative Study

The Detection of the Pipe Crack Utilizing the Operational Modal Strain Identified from Fiber Bragg Grating

Dynamic Testing of a Pre-stretched Flexible Tube for Identifying the Factors Affecting Modal Parameter Estimation

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