Characterization of a FBG strain gage array embedded in composite structure

Fan, Yu; Kahrizi, Mojtaba

doi:10.1016/j.sna.2005.01.021

Cited by 65 publications

(46 citation statements)

References 6 publications

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“…Among the different fiber optic sensors, the most researched fiber optic sensors for application in composite materials were silica fiber Bragg grating sensors [7][8] and polarimetric fiber sensors [9][10]. However most of the studies were focused on the use of fiber sensors to measure the temperature and strain during the curing process and also during structural tests [7][8][9][10].…”

Section: Introductionmentioning

confidence: 99%

“…However most of the studies were focused on the use of fiber sensors to measure the temperature and strain during the curing process and also during structural tests [7][8][9][10]. Our recent studies established that the thermal expansion effects of the composite material considerably affect the performance of the embedded sensors and result in a cross sensitivity in sensing parameters [11][12][13].…”

Section: Introductionmentioning

confidence: 99%

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Experimental Study and Analysis of a Polymer Fiber Bragg Grating Embedded in a Composite Material

Rajan

Ramakrishnan²,

Semenova³

et al. 2014

J. Lightwave Technol.

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Abstract-The characteristics of polymer fiber Bragg gratings (FBGs) embedded in composite materials are studied in this paper and are compared with characteristics of their silica counterparts. A polymer FBG of 10 mm length which exhibits a peak reflected wavelength circa 1530 nm is fabricated and characterized for this purpose. A silica FBG with a peak reflected wavelength circa 1553 nm is also embedded in the composite material for a comparison study. The fabricated composite material sample with embedded sensors is subjected to temperature and strain changes and the corresponding effects on the embedded polymer and silica FBGs are studied. The measured temperature sensitivity of the embedded polymer FBG was close to that of the same polymer FBG in free space, while the silica FBG shows elevated temperature sensitivity after embedding. With an increase in temperature, spectral broadening was observed for the embedded polymer FBG due to the stress induced by the thermal expansion of the composite material. From the observed wavelength shift and spectral bandwidth change of the polymer FBG, temperature and thermal expansion effects in the composite material can be measured simultaneously.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Experimental Study and Analysis of a Polymer Fiber Bragg Grating Embedded in a Composite Material

Rajan

Ramakrishnan²,

Semenova³

et al. 2014

J. Lightwave Technol.

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“…Fiber Bragg grating (FBG) sensors [1] have been so far known to be suitable for these applications since they are very sensitive to micro-strain and temperature. They were previously tested in the embedded form of strain gage intended for deformation monitoring of bending beams which were made of carbon fiber reinforced plastics (CFRP) [2] and composite structure specimen [3]. These attempts are a few of realistic examples which have been so far investigated.…”

Section: Introductionmentioning

confidence: 99%

“…The use of LPFG [4] was also intended for covering relatively large curvatures with small radii of several tens of cm. For the purpose of detecting such deformation for smart materials, micro-strains by FBGs at numerous measurement points have to be accumulated or integrated [3,5] by arranging many of FBG sensors along a material to be monitored, because FBGs generally have the capability of responding to such micro-strain as internal stress by means of the precise measurement of the absolute wavelength shift. Accordingly, a single point measurement in a plane has a difficulty to know what is happening in both curvature and direction of bending due to large deformation.…”

Section: Introductionmentioning

confidence: 99%

“…As can be seen indicated in previous works [2][3][4][5][6], FBG sensors have been mostly used for devising smart materials because of their well developed measurement technique. In other words, it can be mentioned that this might be because there is no choice but to use FBGs so far commercially available unless an alternative sensor scheme newly shows up.…”

Section: Introductionmentioning

confidence: 99%

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A deformation sensitive pad-structure embedded with hetero-core optic fiber sensors

Nishiyama

Sasaki

Watanabe

2007

Sensors and Actuators A: Physical

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Renovated controller designed by genetic algorithms

Lin¹,

Chu²,

Chang³

et al. 2008

Earthq Engng Struct Dyn

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A novel smart control system based on genetic algorithms (GAs) is proposed in this paper. The system is comprised of three parts: the fiber Bragg grating (FBG) sensor-based sensing network for structural health monitoring, the GA-based location optimizer for sensor arrangement, and the GA-based controller for vibration mitigation under external excitation. To evaluate the performance of the proposed system, an eight-story steel structure was designed specifically to represent a structure with large degrees of freedom. In total 16 FBG sensors were deployed on the structure to implement the concept of a reliable sensing network, and to allow the structure to be monitored precisely under any loading. The advantage of applying a large amount of information from the sensing system is proven theoretically by the GAbased location optimizer. This result greatly supports the recent tendency of distributing sensors around the structure. Two intuitive GA-based controllers are then proposed and demonstrated numerically. It is shown that the structure can be controlled more effectively by the proposed GA-strain controller than by the GA-acceleration controller, which represents the traditional control method. A shaking table test was carried out to examine the entire system. Experimental verification has demonstrated the feasibility of using this system in practice.Earthquakes have always been the most destructive events for buildings and structures. To prevent the extensive losses of life and property during an earthquake, various kinds of control systems have been investigated to alleviate the response of structures under earthquake excitation. Active structural control has always been seen as the most rapid and effective way to control a structure. Since the first active control concept proposed in 1969 [1], different control methods have been proposed to mitigate the structural reaction by hydraulic actuators [2][3][4][5][6][7][8]. For example, a series of research projects on bidirectional control for different building types were conducted by Gupta et al. [9,10]. Their results all demonstrated the advantages of active control.However, the reliability and robustness problem of the active control system were found to be the main bottleneck for implementing it in practice. To solve this quandary, fuzzy logic and neural networks were considered for their fault-tolerant ability for the active control system. The first active control system combining neural networks was proposed by Ghaboussi and Joghataie in 1995 [11]. Lots of research concerning fuzzy logic and neural networks were then conducted over the next decades [12][13][14][15]. Although the reliability of the active control system has been improved theoretically, the development of the active structural control is still confined to theory and cannot be implemented in practice.The light weight, fast transmission speed, and their characteristic of being immune to electromagnetic waves have proven that fiber Bragg grating (FBG) sensors are reliable elements for structu...

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Characterization of a FBG strain gage array embedded in composite structure

Cited by 65 publications

References 6 publications

Experimental Study and Analysis of a Polymer Fiber Bragg Grating Embedded in a Composite Material

Experimental Study and Analysis of a Polymer Fiber Bragg Grating Embedded in a Composite Material

A deformation sensitive pad-structure embedded with hetero-core optic fiber sensors

Renovated controller designed by genetic algorithms

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