Damage assessment and monitoring of composite ship joints

Herszberg, Israel; Li, H.C.H.; Dharmawan, F.; Mouritz, A.P.; Nguyen, Minh Hoang; Bayandor, Javid

doi:10.1016/j.compstruct.2004.09.017

Cited by 43 publications

(23 citation statements)

References 8 publications

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“…The occurrence of delamination reduces the stiffness of the structure and hence the load carrying capability of the structure. Existing methods (Herszberg et al, 2004), such as the X-ray, ultrasonic C-scan, and laser stereography have been applied to detect these damages. However, it takes much time inspecting structures for damage using these techniques, therefore, online detection of damage in composite structures is desired.…”

Section: Introduction Nmentioning

confidence: 99%

Structural Health Monitoring of Composite Structures using Artificial Intelligence Protocols

Kesavan

John

Herszberg³

2007

Journal of Intelligent Material Systems and Structures

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This study discusses a structural health monitoring (SHM) system developed to detect the presence of delamination, and predict its location and size in a composite structure. Two structures are considered in this study: a composite beam and a T-joint structure used in ships. Finite element (FE) models of these structures are created, embedded with delaminations, and the strain distribution along the bond-line and surface of the structures is used as a damage characteristic, to get information about the structures' condition. Experimental tests are then conducted to verify the FE model, an excellent corroboration is achieved between the two. Artificial neural networks is then used in tandem with a pre-processing program developed, called the damage relativity assessment technique (DRAT), to determine the presence of the damage and then predict its size and location. This SHM system developed is completely independent of the structures' loading condition and it detected the presence, and predicted the size and location of delaminations with an acceptable level of accuracy.

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Section: Introduction Nmentioning

confidence: 99%

Structural Health Monitoring of Composite Structures using Artificial Intelligence Protocols

Kesavan

John

Herszberg³

2007

Journal of Intelligent Material Systems and Structures

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“…In recent years optical fiber based sensors, such as Bragg gratings, have been increasingly used for in situ strain and temperature monitoring, because they produce a minimal host material perturbation [2,7], can be easily embedded [8] and have excellent compatibility with the host [9]. To adapt these fiber sensors to the filament winding process, it is first necessary to develop a technique for placement during winding, and then have an interface between the sensor's wiring (rotating with the component) and the sensor data acquisition instruments, which are stationary and outside the component.…”

Section: Introductionmentioning

confidence: 99%

Entire Life Time Monitoring of Filament Wound Composite Cylinders Using Bragg Grating Sensors: I. Adapted Tooling and Instrumented Specimen

et al. 2009

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This paper is the first of three describing the monitoring of filament wound cylinders using Bragg grating sensors. Part I describes the technological issues and the development of specimens instrumented with embedded gratings and thermocouples. The aim is to monitor the temperature and strain changes during cylinder manufacture (see Part II) and in-service behaviour (see Part III). Specimens are filament wound glass reinforced epoxy composites, so two technological problems have to be solved: one is to collect data during fabrication and the second is to remove the specimen from the mandrel without damaging the sensors. These were accomplished by design of a specially adapted split mandrel and a rotating interface between the filament winding machine and the composite cylinder in fabrication. Immediately after sensor insertion it was possible to monitor the fabrication process, by collecting Bragg grating wavelength and temperature response, using this specially adapted tooling.

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“…그 중 널리 이용하는 센서로는 전기식 스트레인게이지(Electrical strain gauge), [4] . 이런 단점을 보완해줄 수 있는 광섬유 센서는 직경이 250 µm로 작고 가벼우며 구조물의 기능에 영향을 주지 않으면서 외부에 장착 또는 내부에 삽입이 가능하다 [5] . 이러한 광섬유 센서들 중에서 광섬유 브래그 격자(Fiber bragg grating, FBG)센서는 다점 측정이 가능하여 하나의 광섬유에 브래그 격자 의 중심파장을 서로 다르게 한 여러 개의 센서를 제작할 수 있다는 장점을 가지고 있다 [6] .…”

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Fabrication of a Multiplexing Sensor Probe for Measuring the Blade Deflection of a Wind Power Generator

Kim¹,

Lee²

2014

Journal of manufacturing engineering & technology

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ARTICLE INFO ABSTRACT Article history:This paper describes a fabrication multiplexing sensor probe that employs a fiber Bragg grating(FBG) based on multiple measurements to determine the blade deflection of a wind power generator the reliability analysis of this probe is also presented. To diminish the temperature sensitivity of the FBG sensor, we form multiple CFRPs onto the upper and lower layers of the FBG and package it with an epoxy resin. As a result, the depth of the CFRP is 1mm, and the temperature sensitivity is 2.39pm/℃. We construct a sensor network utilizing the fabricated sensor with a blade beam model. As the number of pendulums is increased on the fore-end of the beam, the strain value is measured. The strain variation is calculated from the measurement of the load on the blade beam model by monitoring the strain of the FBG sensor. When the linear equation is applied, the strain error is 0.4% and when the finite difference method is used, the tip deflection error is 3.3%. The displacement error derived from the strain value of the FBG sensor is 4.39%. The calculated result between the measured value of the dead-end of the beam and the strain is less than 2.46% tip distortion error. Therefore, our proposed multiplexing sensor probe is a low-cost and high-reliability solution for a commercial wind power generator.

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Damage assessment and monitoring of composite ship joints

Cited by 43 publications

References 8 publications

Structural Health Monitoring of Composite Structures using Artificial Intelligence Protocols

Structural Health Monitoring of Composite Structures using Artificial Intelligence Protocols

Entire Life Time Monitoring of Filament Wound Composite Cylinders Using Bragg Grating Sensors: I. Adapted Tooling and Instrumented Specimen

Fabrication of a Multiplexing Sensor Probe for Measuring the Blade Deflection of a Wind Power Generator

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