Real-time quasi-distributed fiber optic sensor based on resonance frequency mapping

Kim, Gyeong Hun; Park, Sang Min; Park, Chang Hyun; Jang, Hansol; Kim, Chang-Seok; Lee, Hwi Don

doi:10.1038/s41598-019-40472-2

Cited by 22 publications

(7 citation statements)

References 33 publications

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“…The displacement d s ∈ R m d , velocity v s ∈ R m v , and acceleration a s ∈ R m a in the measurement direction and at the sensor location can be expressed in terms of the node displacementd ∈ R n d , node velocityv ∈ R n d , and node accelerationâ ∈ R n d in the GCS. Moreover, the displacement, velocity, and acceleration can also be expressed in terms of the eigenvector φ i ∈ R n d and the generalized coordinates q di , q vi , q ai ∈ R for the displacement, velocity, and acceleration of the model, as shown in Equations ( 16)- (18). In addition, the mode shapes φ dsi ∈ R m d , φ vsi ∈ R m v , and φ asi ∈ R m a for the displacement, velocity, and acceleration at the measurement location corresponding to eigenvector φ i can be defined in terms of the transformation matrices N d , N v , and N a , as shown in Equations ( 19)-(21).…”

Section: Modal Identificationmentioning

confidence: 99%

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Model Updating Using Measurements from Sensors Installed in Arbitrary Positions and Directions

2019

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The present study proposes a method for model updating using measurements from sensors installed in arbitrary positions and directions. Modal identification provides mode shapes for physical quantities (acceleration strain, etc.) measured in specific directions at the location of the sensors. Besides, model updating involves the use of the mode shapes related to the nodal degrees-of-freedom of the finite element analytic model. Consequently, the mode shapes obtained by modal identification and the mode shapes of the model updating process do not coincide even for the same mode. Therefore, a method for constructing transform matrices that distinguish the cases where measurement is done by acceleration, velocity, and displacement sensors and the case where measurement is done by strain sensors was proposed to remedy such disagreement among the mode shapes. The so-constructed transform matrices were then applied when the mode shape residual was used as the objective function or for mode pairing in the model updating process. The feasibility of the proposed approach was verified by means of a numerical example in which the strain or acceleration of a simple beam was measured and a numerical example in which the strain of a bridge was measured. Using the proposed approach, it was possible to model the structure regardless of the position of the sensors and to select the location of the sensors independently from the model.

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Section: Modal Identificationmentioning

confidence: 99%

“…A total of 50 strain sensors were installed longitudinally along the section bottom centerline at a spacing of 1 m, as shown in Figure 5b,c. This sensor layout can be achieved by only one quasi-distributed fiber optic sensor [18] based on resonance frequency mapping.…”

Section: Numerical Application To Bridgementioning

confidence: 99%

Model Updating Using Measurements from Sensors Installed in Arbitrary Positions and Directions

2019

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“…The damping ratio for the 1 st and 2 nd modes is 5%. A total of 50 strain sensors are installed longitudinally along the section bottom centerline at spacing of 1 m. This sensor layout can be achieved one fiber optic sensor using the quasi-distributed fiber optic sensor [17] based on the resonance frequency mapping.…”

Section: Numerical Application To Bridgementioning

confidence: 99%

Systematic Link of Modal Identification with Model Updating

Cho¹,

Park²,

Cho³

2019

Preprint

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A systematic approach for model updating using the modal identification results is proposed. Modal identification provides mode shapes for physical quantities (acceleration strain, etc.) measured in specific directions at the location of the sensors. Besides, model updating involves the use of the mode shapes related to the nodal degrees-of-freedom of the finite element analytic model. Consequently, the mode shapes obtained by modal identification and the mode shapes of the model updating process do not coincide even for the same mode. Therefore, a method constructing transform matrices that distinguish the cases where measurement is done by acceleration, velocity and displacement sensors and the case where measurement is done by strain sensors is proposed to remedy such disagreement between the mode shapes. The so-constructed transform matrices are then applied when the mode shape residual is used as objective function or for mode pairing in the model updating process. The feasibility of the proposed approach is verified by means of a numerical example in which the strain or acceleration of a simple beam is measured and a numerical example in which the strain of a bridge is measured. Using the proposed approach, it is possible to model the structure regardless of the position of the sensors and to select the location of the sensors independently from the model.

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“…However, these sensing systems incur diminished sensitivity over long-range distributed sensing and require additional expensive components like pulsed lasers, electro-optic modulators (EOM), and erbium-doped fiber amplifiers (EDFA). Also, FBG based vibration interrogators have been utilized to develop distributed vibration sensors 16 , 17 . However, FBG based distributed sensing systems require additional semiconductor amplifiers and additional test mass that make them bulky.…”

Section: Introductionmentioning

confidence: 99%

Multipoint monitoring of amplitude, frequency, and phase of vibrations using concatenated modal interferometers

Chatterjee

Arumuru

Patil

et al. 2022

Sci Rep

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Concatenated modal interferometers-based multipoint monitoring system for detection of amplitude, frequency, and phase of mechanical vibrations is proposed and demonstrated. The sensor probes are fabricated using identical photonic crystal fiber (PCF) sections and integrated along a single fiber channel to act as a compact and efficient sensing system. Each identical probe acts as a modal interferometer to generate a stable interference spectrum over the source spectrum. In the presence of an external dynamic field about each probe, the probes respond independently, producing a resultant signal superposition of each interferometer response signal. By analyzing the resultant signals using computational techniques, the vibration parameters applied to each interferometer are realized. The sensing system has an operation range of 1 Hz-1 kHz with a sensitivity of 51.5 pm/V. Such a sensing system would find wide applications at industrial, infrastructural, and medical fronts for monitoring various dynamic physical phenomena.

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Real-time quasi-distributed fiber optic sensor based on resonance frequency mapping

Cited by 22 publications

References 33 publications

Model Updating Using Measurements from Sensors Installed in Arbitrary Positions and Directions

Model Updating Using Measurements from Sensors Installed in Arbitrary Positions and Directions

Systematic Link of Modal Identification with Model Updating

Multipoint monitoring of amplitude, frequency, and phase of vibrations using concatenated modal interferometers

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