Acoustic emission technique to monitor crack growth in a mooring chain

Rivera, Fernando Galvan; Edwards, Graham; Eren, Elvin; Soua, Slim

doi:10.1016/j.apacoust.2018.04.034

Cited by 21 publications

(5 citation statements)

References 16 publications

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“…These studies acknowledge the limitations of traditional methods; however, they do not specifically address the gantry crane defect detection problem. The propagation of the surface and subsurface cracks in different steel structures and their mechanism could be analyzed by parameter-based or signal-based methods [20,21]. A majority of the methods measure either regional or overall properties, but not both types of properties at the same time.…”

Section: Introductionmentioning

confidence: 99%

Damage Detection of Gantry Crane with a Moving Mass Using Artificial Neural Network

Safaei,

Hejazian,

Pedrammehr

et al. 2024

Buildings

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Gantry cranes play a pivotal role in various industrial applications, and their reliable operation is paramount. While routine inspections are standard practice, certain defects, particularly in less accessible components, remain challenging to detect early. In this study, first a finite element model is presented, and the damage is introduced using random changes in the stiffness of different parts of the structure. Contrary to the assumption of inherent reliability, undetected defects in crucial structural elements can lead to catastrophic failures. Then, the vibration equations of healthy and damaged models are analyzed to find the displacement, velocity, and acceleration of the different crane parts. The learning vector quantization neural network is used to train and detect the defects. The output is the location of the damage and the damage severity. Noisy data are then used to evaluate the network performance robustness. This research also addresses the limitations of traditional inspection methods, providing early detection and classification of defects in gantry cranes. The study’s relevance lies in the need for a comprehensive and efficient damage detection method, especially for components not easily accessible during routine inspections.

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Section: Introductionmentioning

confidence: 99%

Damage Detection of Gantry Crane with a Moving Mass Using Artificial Neural Network

Safaei,

Hejazian,

Pedrammehr

et al. 2024

Buildings

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“…Studies have been carried out on the chains’ material microstructural properties [ 17 ], whereas others have been numerical modelling-oriented [ 18 ]. Few large-scale testing attempts have been made [ 19 ], conducting feasibility studies to establish acoustic techniques’ capabilities in monitoring damage in a mooring chain link subject to stress corrosion cracking in artificial sea water.…”

Section: Introductionmentioning

confidence: 99%

Diagnostic Feature Extraction and Filtering Criterion for Fatigue Crack Growth Using High Frequency Parametrical Analysis

Angulo

Mares

Gan

2021

Sensors

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Mooring systems are an integral and sophisticated component of offshore assets and are subject to harsh conditions and cyclic loading. The early detection and characterisation of fatigue crack growth remain a crucial challenge. The scope of the present work was to establish filtering and alarm criteria for different crack growth stages by evaluating the recorded signals and their features. The analysis and definition of parametrical limits, and the correlation of their characteristics with the crack, helped to identify approaches to discriminate between noise, initiation, and growth-related signals. Based on these, a filtering criterion was established, to support the identification of the different growth stages and noise with the aim to provide early warnings of potential damage.

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“…failures has been shown by the Health and Safety Executive (HSE) report (2006). According to the data during 1980 and 2018, a floating production unit will experience a mooring system failure every 9 years on average (Rivera et al, 2018). Furthermore, the one of the most common failure probability seen in the mooring systems of floating MRE units is the failure of individual polyester rope with termination (Zhang et al, 2016).…”

Section: Introductionmentioning

confidence: 99%

The effect of rope termination on the performance of polyester mooring ropes for marine applications

Saidpour

Vaseghi

2020

Ocean Engineering

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Termination of heavy-duty polyester mooring ropes has long been an issue of concern in the marine renewable energy applications. In this study, experimental investigations were conducted on two different rope materials to investigate and compare the performance of filament, yarn, strand, sub-rope, 44mm rope and 120mm rope. The experiment setup consisted of 5kN Lloyds Machine for testing filament, yarn and strand, 500kN Denison Machine for subrope, 1500kN and 30MN tensile equipment for testing 44mm and 120mm ropes respectively.

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Acoustic emission technique to monitor crack growth in a mooring chain

Cited by 21 publications

References 16 publications

Damage Detection of Gantry Crane with a Moving Mass Using Artificial Neural Network

Damage Detection of Gantry Crane with a Moving Mass Using Artificial Neural Network

Diagnostic Feature Extraction and Filtering Criterion for Fatigue Crack Growth Using High Frequency Parametrical Analysis

The effect of rope termination on the performance of polyester mooring ropes for marine applications

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