On the use of the autocorrelation function to identify the damage in the side shell of a ship's hull

Zubaydi, Achmad; Haddara, Moutaz; Swamidas, A. S. J.

doi:10.1016/s0951-8339(00)00023-x

Cited by 27 publications

(12 citation statements)

References 3 publications

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“…The reduction in thickness of the hull side shells is subsequently modeled on an element-by-element basis, where the x employed in Eqs. (8) and (9), are the centroids of the triangular shells.…”

Section: Example Problemmentioning

confidence: 99%

“…Zubaydi et al [8], for example, employed autocorrelation functions to examine the response of stiffened plates, intended to simulate the ''side shells'' of ship hulls. Good agreement was shown between both the experimentally and analytically derived autocorrelation functions, demonstrating the potential promise for this method to detect, but not locate, crack damage in ship hulls.…”

Section: Introductionmentioning

confidence: 99%

“…Good agreement was shown between both the experimentally and analytically derived autocorrelation functions, demonstrating the potential promise for this method to detect, but not locate, crack damage in ship hulls. In 2002, these same authors employed neural networks, together with the finite element models developed in [8], to not only detect the presence of, but also the location and extent of various crack damage scenarios [9]. Similarly, Budipriyanto et al [10] developed experimental and analytical models of cross-stiffened plate structures (typical to the hulls of oil tankers) in order to determine the optimal sensor layout for measuring the dynamic response of structures, having undergone various crack damage scenarios.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Model-based structural health monitoring of naval ship hulls

Stull

Earls

Koutsourelakis

2011

Computer Methods in Applied Mechanics and Engineering

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Section: Example Problemmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Model-based structural health monitoring of naval ship hulls

Stull

Earls

Koutsourelakis

2011

Computer Methods in Applied Mechanics and Engineering

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“…0.05 s) was chosen for the calculation of the Randec signatures. Earlier studies examining the Randec signature at a single location showed only very small changes due to damage [8,9]. This made damage identification difficult and potentially inaccurate.…”

Section: Numerical Simulationmentioning

confidence: 99%

Damage detection in a fibre reinforced composite beam using random decrement signatures

Weis

Herszberg³

et al. 2004

Composite Structures

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“…The effectiveness of this method was demonstrated experimentally for a set of aluminum bars with different depths of a crack. Similar technique was used by Zubaydi et al [44] to detect small cracks in stiffened plates being the models of ship hulls. Comparing auto-correlation functions of healthy and cracked plates, they confirmed the effectiveness of this simple method, especially in the presence of external disturbances and measurement noise.…”

Section: Introductionmentioning

confidence: 99%

Method of shaft crack detection based on squared gain of vibration amplitude

2019

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Rotating machines are exposed to different faults such as shaft cracks, bearing failures, rotor misalignment, stator to rotor rub, etc. Therefore, turbogenerators, aircraft engines, compressors, pumps, and many other rotating machines should be constantly diagnosed to warn about the probable appearance of a possible rotor failure. Unfortunately, despite the ongoing work on various rotor fault detection methods, there are still very few techniques that can be considered as reliable and applicable in practical problems. The difficulty lies in the fact that usually the fault introduces very subtle local changes in the overall structure of the rotor. The symptoms of these changes must be isolated and extracted from a wide spectrum of vibration data obtained from sensors measuring the vibrations of the machine. The measured data are usually disturbed with some noise or other disturbances, and that is why the detection of a possible rotor fault is even more difficult. The paper presents a new rotor fault detection method. The method is based on a new diagnostic model of rotor signals and external disturbances. The model utilizes auto-correlation functions of measured rotor's vibrations. By proper processing of the measured vibration data, the influence of environmental disturbances is completely compensated and reliable indications of the possible rotor fault are obtained. The method has been tested numerically using the finite element model of

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On the use of the autocorrelation function to identify the damage in the side shell of a ship's hull

Cited by 27 publications

References 3 publications

Model-based structural health monitoring of naval ship hulls

Model-based structural health monitoring of naval ship hulls

Damage detection in a fibre reinforced composite beam using random decrement signatures

Method of shaft crack detection based on squared gain of vibration amplitude

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