Recent developments in remote inspections of ship structures

Poggi, Laura; Gaggero, Tomaso; Gaiotti, Marco; Ravina, Enrico

doi:10.1016/j.ijnaoe.2020.09.001

Cited by 19 publications

(10 citation statements)

References 4 publications

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“…Despite numerous researches in this area, there are still many unanswered questions: which method is the best, how to automate all processes, and so on. According to the application type, there are two main directions of technical diagnostics: monitoring and diagnostics of rotating machinery, [1][2][3][4] and structural health monitoring (SHM), which is defined as a process of implementing a damage detection and characterisation strategy for various engineering structures. [5][6][7][8] According to the used technique, diagnostic methods can be divided into: destructive technique when maximum load or fatigue test of samples are performed 9,10 ; and non-destructive technique when the state of the structure is evaluated without causing damage to it.…”

Section: Introductionmentioning

confidence: 99%

“…camera systems, 2 wall-climbing robots with non-destructive testing (NDT) tools 3 and drones). 4 1 Mining, Metallurgy and Materials Engineering (PPGEM), Federal University of Rio Grande do Sul (UFRGS), Porto Alegre, Brazil However, all of the tested techniques still need the tank to be empty and clean in order to operate. Furthermore, some of them are not yet capable of assessing the remaining wall thickness, and others have difficulties in dealing with the nature of the structure, that is made of large welded stiffeners with complex geometries.…”

Section: Introductionmentioning

confidence: 99%

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Enhancing damage localisation in critical areas of storage tanks in floating production storage and offloadings with a guided wave structural health monitoring system

Menin

Corrêa

Clarke

et al. 2022

Structural Health Monitoring

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A guided wave monitoring system for storage tanks of floating production storage and offloading units was tested on a panel which is representative of a critical region of such structures. Initially, baseline signals of the undamaged structure were acquired within a representative temperature range. These signals were then processed with the optimal baseline subtraction, optimal stretch and phase-shift compensation algorithms. Two distinct damage indexes were generated from the residual signals in order to verify the detection capability of the system. A delay-and-sum image algorithm was then applied to the residual signals in order to evaluate the defect localisation capabilities of the system. These images were than post-processed with three different methods, one based on a probabilistic approach, another on singular value decomposition and also with a combination of these two methods. The signal-to-noise ratio (SNR) gain obtained by applying the post-processing strategies was calculated and compared to the original images. Results demonstrate that the system is capable of detecting localised wall loss and indicating its correct position for damage larger than 20% wall thickness loss. Results also show that the post-processing methods helped to improve the SNR, leading to gains of more than 15dB in damage to artefact amplitude ratios.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Enhancing damage localisation in critical areas of storage tanks in floating production storage and offloadings with a guided wave structural health monitoring system

Menin

Corrêa

Clarke

et al. 2022

Structural Health Monitoring

View full text Add to dashboard Cite

show abstract

“…The RAS platforms involved in the ROBINS project are of two different types of aerial drones and a magnetic crawler, which exploit capabilities of different robotic solutions for different inspection needs (Poggi et al 2020a). Each RAS involved in the project represents the exponent of a robot category with specific abilities, aimed at offering comprehensive records, to develop a multifunctional testing facility (TF) and thorough testing protocols.…”

Section: Robotic Technologies For Inspection Of Shipsmentioning

confidence: 99%

Robotic inspection of ships: inherent challenges and assessment of their effectiveness

Poggi

Gaggero

Gaiotti

et al. 2020

Ships and Offshore Structures

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Inspection is a key aspect of any structural maintenance programme, including that of ship and offshore structures with a long-lasting history of service failures. Ship surveys for construction, verification, repair and conversion are intrinsically hazardous that are mainly performed by human surveyors. The ROBINS project (ROBotics technology for INspection of Ships) is an EU Horizon 2020 collaborative project aimed at addressing possible advantages of robotic technologies for ship inspections and facing corresponding challenges. Within the project framework, gaps and drawbacks in the application of robotic technologies were identified, from both technological and regulatory viewpoints. Solutions were suggested and developed through laboratory and field trials. Results indicate that cost-effective robotic assistants can be successfully introduced in the marine structure maintenance routine, if appropriate assessments of technologies and application procedures are carried out in advance according to validation schemes, such as the standard verification process recommended in this paper.

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“…Unmanned underwater vehicles (UUV) have recently gained great importance due to their role in carrying out tasks that are sometimes difficult for humans to perform on their own. These systems have important scientific applications [1][2][3][4], and military applications [5][6][7][8][9][10].…”

Section: Introductionmentioning

confidence: 99%

Low-cost noise maker for testing acoustically guided unmanned vehicles

Mousa,

Tork,

Abdallah

2023

J. Phys.: Conf. Ser.

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Testing the performance of the Acoustically Guided Unmanned Underwater Vehicle (AGUUV) prior to its deployment is essential to ensure its ability to perform the required tasks accurately. These systems can be deployed from boats or helicopters to scan areas of military and economic importance for threats. These threats such as aircrafts carriers, ships, submarines, divers, and autonomous surface vehicles. The problem of implementing a low-cost high-performance noise maker (LCNM) which is suitable for being used as a test target instead of different threats for AGUUVs is the motivation of this paper. Lab experiments and sea trials are performed using the proposed noise maker to demonstrate the proper operation of the AGUUV. Lab experiments showed that the radiated noise of the proposed noise maker has high power in the frequency band between 5 to 8 kHz. The measured signal to noise ratio (SNR) for the introduced LCNM is 30 dB in this band. The experimental results presented in this paper show the feasibility of using the proposed LCNM effectively to test the AGUUVs.

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Recent developments in remote inspections of ship structures

Cited by 19 publications

References 4 publications

Enhancing damage localisation in critical areas of storage tanks in floating production storage and offloadings with a guided wave structural health monitoring system

Enhancing damage localisation in critical areas of storage tanks in floating production storage and offloadings with a guided wave structural health monitoring system

Robotic inspection of ships: inherent challenges and assessment of their effectiveness

Low-cost noise maker for testing acoustically guided unmanned vehicles

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