&lt;title&gt;Optical fiber sensors for monitoring of structures (OSMOS)&lt;/title&gt;

Michie, Craig; Culshaw, Brian; Thursby, Graham; Konstantaki, Maria; Turpin, M.; Lecot, Catherine; Noharet, Bertrand; Lequime, Michel; VaNotti, Pietro; Vanucci, Antonello; Lang, Didier; Kalb, P.; Davidson, R. D.; Roberts, S.; Papadopoulos, Pantelis M.; Ikiades, A.; Chazelas, J.; Bonniau, Philippe; Herbst, Tom; Windisch, A.

doi:10.1117/12.240878

Cited by 3 publications

(5 citation statements)

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“…To cover a relatively large realistic structure, more individual sensors are needed to form a network. An effective sensor network would be to use a quasidistributed [23,32,46,48,51,57,61,62,68,83,96] or fully distributed sensing system [40,59,61,74] in which a large number of sensing points can be selected along the individual optical fibres. In addition, a very different idea for damage detection was reported by using self-illuminating glass reinforcing fibres [56].…”

Section: Fibre Optic Sensors For Strain Measurementmentioning

confidence: 99%

“…However, their high transverse sensitivity could be used for determining the location of impact [7]. In particular, these sensors offer a considerable potential of being developed into sensor networks [5,8,46,51,59,109].…”

Section: Polarimetric Sensormentioning

confidence: 99%

“…If a number of these locations are predetermined, which makes the system more effective, the sensor array is called a quasidistributed fibre optic sensor (QDFOS), as illustrated in figure 5(a). In this type of sensor network, the reflectors can be created through fusion splices [109,118], pathlength differences [40,46,51,96,109] or FBGs with known reflectance wavelengths [5,61,62,65,68,106]. Moreover, the individual sensors within a network can be arranged in either series topology [108] (see figure 5(a)), parallel topology [22] as illustrated in figure 5(b) or a combination of both [23,118] as illustrated in figure 5(c).…”

Section: Quasi-distributed Sensor Networkmentioning

confidence: 99%

“…Thus, the sensor locations were away from the neutral plane of the plates just like the beams under a quasi-static transverse loading. The sensors were also embedded in filament-wound composite tubes [54,56,58] and in some realistic composite structures [51,59,61,62,68,115,119], all of which were subjected to an impact loading.…”

Section: Assessment Of Damage From a Known Locationmentioning

confidence: 99%

“…With the sensor network technique, the sensors can record the strongest responses, and the impact locations are then estimated through a comparison of the monitored signal variations before and after the events. Both QDFOS [46,48,51,61,62,65,68,96] and FDFOS [51,59,61] are employed with the reflectors serially multiplexed. FBG sensors multiplexed through WDM [61,62,65,68] seem to be a popular choice, although EFPI sensors multiplexed through either OTDR [48] or CDM [96] are also used.…”

Section: Determination For the Location Of Impact Damagementioning

confidence: 99%

See 4 more Smart Citations

Damage detection and assessment in fibre-reinforced composite structures with embedded fibre optic sensors-review

Zhou¹,

Sim

2002

Smart Mater. Struct.

233

140

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A state-of-the-art review is presented regarding the research and development of in situ fibre optic damage detection and assessment systems (FODDAS) embedded in fibre-reinforced composite structures. Representative individual fibre optic strain sensors and distributed sensor networks are briefly described. A major emphasis is placed on their capabilities for detecting damage, determining damage location and assessing the nature of damage, arising primarily from specific events such as impacts or quasi-static stress overloads. The main features of such systems as custom-built and structure-specific units with minimal human involvement are highlighted. Issues that could affect the validity of the performance of such strain sensors are discussed. Fracture and non-fracture of fibre optic sensors are identified as two fundamentally different approaches for damage detection and their primary features are discussed in relation to location determination and evaluation of the nature of damage. The major advantages and limitations of each approach are discussed. Directions and areas of potential future research in the development of related FODDAS are highlighted.

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Section: Fibre Optic Sensors For Strain Measurementmentioning

confidence: 99%

Section: Polarimetric Sensormentioning

confidence: 99%

Section: Quasi-distributed Sensor Networkmentioning

confidence: 99%

Section: Assessment Of Damage From a Known Locationmentioning

confidence: 99%

Section: Determination For the Location Of Impact Damagementioning

confidence: 99%

See 3 more Smart Citations

Damage detection and assessment in fibre-reinforced composite structures with embedded fibre optic sensors-review

Zhou¹,

Sim

2002

Smart Mater. Struct.

233

140

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All-fiber embedded PM-PCF vibration sensor for Structural Health Monitoring of composite

Thakur

Nalawade

Saxena

et al. 2011

Sensors and Actuators A: Physical

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Condition monitoring in composite materials: An integrated systems approach

Culshaw

Pierce

Staszekski

1998

Proceedings of the Institution of Mechanical Engineers, Part I:

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This paper presents the results of a collaborative project, the objective of which was to investigate the potential offered by combining ultrasonic Lamb wave interrogation of composite material structures, insonifying the whole structure, with a single wavefront integrating optical fibre detector. The system, which was designed primarily for condition monitoring rather than defect imaging, proved to be capable of detecting small (centimetre square) delaminations, millimetre-sized holes and impact damages of a few joules, all with insonification wavelengths of the order of 2 cm. Data extraction proved to be extremely important since the damage-detection process relies essentially on analysing scattering signatures rather than attempting to image defects and damage. The systemdubbed SISCO (Structurally Integrated Systems for comprehensive evaluation of COmposites)-indicates that self-monitoring structures can be efficiently designed using controlled insonification and a relatively sparse sensor array, presenting a contrast to the more conventional imaging approach involving far more complex sensing arrays and detection and signal processing algorithms.

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<title>Optical fiber sensors for monitoring of structures (OSMOS)</title>

Cited by 3 publications

References 0 publications

Damage detection and assessment in fibre-reinforced composite structures with embedded fibre optic sensors-review

Damage detection and assessment in fibre-reinforced composite structures with embedded fibre optic sensors-review

All-fiber embedded PM-PCF vibration sensor for Structural Health Monitoring of composite

Condition monitoring in composite materials: An integrated systems approach

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