Submitted:
22 January 2024
Posted:
24 January 2024
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Abstract
Keywords:
1. Introduction
2. Strain Transfer of FBG under Dynamic Excitation
2.1. Static FBG strain transfer theory and dynamic one
2.1.1. Static strain transfer theory of FBG
2.1.2. Dynamic strain transfer theory of FBG
2.2. Comparison of the calculated results of static FBG strain transfer and dynamic one
2.2.1. Parameters for calculation
2.2.2. Discuss the effect of parameters on FBG subjected by dynamic load
3. Calibration test
3.1. Test set up
3.1.1. Fabrication of calibration device
3.1.2. Methods of the test
3.1.3. Methods of the pretest
3.2. Fabrication of specimens
3.2.1. Details of the grouping information
| Num of specimens | Materials | Paste | sensors |
| S-1 | Steel | Type A | Strain gauge, FBG, DOFS |
| S-2 | Steel | Type B | Strain gauge, FBG, DOFS |
| S-3 | Steel | Type C | Strain gauge, FBG, DOFS |
| C-1 | Concrete | Type A | Strain gauge, FBG, DOFS |
| C-2 | Concrete | Type B | Strain gauge, FBG, DOFS |
| C-3 | Concrete | Type C | Strain gauge, FBG, DOFS |
| P-1 | PVC | Type A | Strain gauge, FBG, DOFS |
| P-2 | PVC | Type B | Strain gauge, FBG, DOFS |
| P-3 | PVC | Type C | Strain gauge, FBG, DOFS |
| A-1 | ABR | Type A | Strain gauge, FBG, DOFS |
| A-2 | ABR | Type B | Strain gauge, FBG, DOFS |
| A-3 | ABR | Type C | Strain gauge, FBG, DOFS |
3.2.2. Sheet of matrix setup
| Materials | B | b | t′ | t | L | h |
| Steel | 9cm | 5mm | 30cm | 40cm | 50cm | 1mm |
| Concrete | 5mm | 30cm | 40cm | 50cm | 20mm | |
| PVC | 7cm | 5mm | 30cm | 40cm | 50cm | 13mm |
| ABR | 7cm | 5mm | 30cm | 40cm | 50cm | 13mm |
3.2.3. Sensors and layout
3.3. Performance of the equipment and sensing technology
3.3.1. FBG demodulator
| Parameter | Units | Details |
| Number of channels | CH | 4 |
| Number of sensors per channel | PCS | temperature:8;strain:4 |
| Monitoring wavelength range | nm | 1530-1550 |
| Sampling frequency | Hz | 100 |
| Strain sensitivity coefficient | nm/με | 0.000716 |
| Temperature sensitivity coefficient | nm/℃ | 0.016498 |
| Equipment working humidity | % | 0-75 |
3.3.2. BOTDA demodulator
| Parameter | Units | Details |
| Channel | 2 | |
| Distance | km | 50 |
| Distance resolution | m | 0.1 |
| Range of Strain | -3%~3% | |
| Measurement time | min | 1~2 |
3.3.3. OTDR demodulator
4. Results and Discussion
4.1. Results of the test
4.1.1. Results of the pretest
4.1.2. Results of the static test
4.1.3. Results of the dynamic test
4.2. Comparison of theoretical and experimental outcome
4.2.1. Comparison of the static result of the test
4.2.2. Comparison of the dynamic result of the test
5. Conclusion
- (1)
- A three-layer dynamic strain transfer theory for the calculation of STR and ASTR of FBG subjected by dynamic loading was deduced, and some parameters were analyzed. The investigation of the STR and ASTR reveals a strong connection with the paste length of FBG, the Young's modulus of the middle materials, the thickness of the middle materials and attenuation coefficient. However, the theoretical results also indicates that STR and ASTR is insensitive with the amplification of the force, frequency of the force, Young's modulus of the matrix materials, section area of the matrix and the speed of loading.
- (2)
- The calibration test for ABR-measurement FBG was designed, and the pre-test was carried out. The pre-test result suggests that the error of FBG is minimized, and the value of FBG and DOFS is extraordinarily similar. The results of DOFS also suggest that the strain alone the sheet is uniform.
- (3)
- The static test was carried out, and the theoretical and experimental ASTR was compared. These experiments confirmed that the ASTR of Type B is the holistically effective one, and the results of FBG and DOFS is holistically the same.
- (4)
- The ASTR has been proved insensitive with the materials of the matrix, as well as the dynamic parameters and the geometry of pipe. Hence, the feasibility of FBG and DOFS used on ABR pipe deformation measurement has been identified.
Acknowledgments
References
- Li, K., et al., Pressure test of a prestressed concrete cylinder pipe using distributed fiber optic sensors: Instrumentation and results. ENGINEERING STRUCTURES, 2022. 270.
- Jiang, T., J. Zhu and Y. Shi, Detection of Pipeline Deformation Induced by Frost Heave Using OFDR Technology. FRONTIERS IN PHYSICS, 2021. 9.
- Wang, H., et al., Discrete curvature-based shape configuration of composite pipes for local buckling detection based on fiber Bragg grating sensors. MEASUREMENT, 2022. 188.
- Wang, Z., et al., The Detection of the Pipe Crack Utilizing the Operational Modal Strain Identified from Fiber Bragg Grating. SENSORS, 2019. 19(11).
- Glisic, B. and Y. Yao, Fiber optic method for health assessment of pipelines subjected to earthquake-induced ground movement. STRUCTURAL HEALTH MONITORING-AN INTERNATIONAL JOURNAL, 2012. 11(6): p. 696-711.
- Zhao, H., et al., Strain transfer of surface-bonded fiber Bragg grating sensors for airship envelope structural health monitoring. JOURNAL OF ZHEJIANG UNIVERSITY-SCIENCE A, 2012. 13(7): p. 538-545.
- COX, H.L., THE ELASTICITY AND STRENGTH OF PAPER AND OTHER FIBROUS MATERIALS. BRITISH JOURNAL OF APPLIED PHYSICS, 1952. 3(MAR): p. 72-79.
- ESHELBY, J.D., THE DETERMINATION OF THE ELASTIC FIELD OF AN ELLIPSOIDAL INCLUSION, AND RELATED PROBLEMS. PROCEEDINGS OF THE ROYAL SOCIETY OF LONDON SERIES A-MATHEMATICAL AND PHYSICAL SCIENCES, 1957. 241(1226): p. 376-396.
- ROSEN, B.W., TENSILE FAILURE OF FIBROUS COMPOSITES. AIAA JOURNAL, 1964. 2(11): p. 1985-1991.
- CHON, C.T. and C.T. SUN, STRESS DISTRIBUTIONS ALONG A SHORT FIBER IN FIBER REINFORCED-PLASTICS. JOURNAL OF MATERIALS SCIENCE, 1980. 15(4): p. 931-938.
- NANNI, A., et al., FIBEROPTIC SENSORS FOR CONCRETE STRAIN STRESS MEASUREMENT. ACI MATERIALS JOURNAL, 1991. 88(3): p. 257-264.
- Duck, G., G. Renaud and R. Measures, The mechanical load transfer into a distributed optical fiber sensor due to a linear strain gradient: embedded and surface bonded cases. SMART MATERIALS & STRUCTURES, 1999. 8(2): p. 175-181.
- DASGUPTA, A. and J.S. SIRKIS, IMPORTANCE OF COATINGS TO OPTICAL FIBER SENSORS EMBEDDED IN SMART STRUCTURES. AIAA JOURNAL, 1992. 30(5): p. 1337-1343.
- Yuan, L.B. and L.M. Zhou, Sensitivity coefficient evaluation of an embedded fiber-optic strain sensor. SENSORS AND ACTUATORS A-PHYSICAL, 1998. 69(1): p. 5-11.
- Ansari, F. and Y. Libo, Mechanics of bond and interface shear transfer in optical fiber sensors. JOURNAL OF ENGINEERING MECHANICS-ASCE, 1998. 124(4): p. 385-394.
- Lau, K.T., et al., Strain monitoring in FRP laminates and concrete beams using FBG sensors. COMPOSITE STRUCTURES, 2001. 51(1): p. 9-20.
- LeBlanc, M.J., Interaction mechanics of embedded single-ended optical fibre sensors using novel in situ measurement techniques. 1999.
- Her, S. and C. Huang, Effect of Coating on the Strain Transfer of Optical Fiber Sensors. SENSORS, 2011. 11(7): p. 6926-6941.
- Her, S. and C. Tsai, Experimental measurement of fiber-optic strain sensors - art. no. 61671H, in Smart Structures and Materials 2006: Smart Sensor Monitoring Systems and Applications, D. Inaudi, et al., D. Inaudi, et al.^Editors. 2006: Smart Structures and Materials 2006 Conference. p. H1671-H1671.
- Torres, B., et al., Analysis of the strain transfer in a new FBG sensor for Structural Health Monitoring. ENGINEERING STRUCTURES, 2011. 33(2): p. 539-548.
- Li, H., et al., Strain Transfer Coefficient Analyses for Embedded Fiber Bragg Grating Sensors in Different Host Materials. JOURNAL OF ENGINEERING MECHANICS, 2009. 135(12): p. 1343-1353.
- Li, Q.B., et al., Elasto-plastic bonding of embedded optical fiber sensors in concrete. JOURNAL OF ENGINEERING MECHANICS, 2002. 128(4): p. 471-478.
- Billon, A., et al., Qualification of a distributed optical fiber sensor bonded to the surface of a concrete structure: a methodology to obtain quantitative strain measurements. SMART MATERIALS AND STRUCTURES, 2015. 24(11).
- Luyckx, G., et al., Strain Measurements of Composite Laminates with Embedded Fibre Bragg Gratings: Criticism and Opportunities for Research. SENSORS, 2011. 11(1): p. 384-408.
- Wang, H.P., P. Xiang and X. Li, Theoretical Analysis on Strain Transfer Error of FBG Sensors Attached on Steel Structures Subjected to Fatigue Load. STRAIN, 2016. 52(6): p. 522-530.
- Wang, H. and J. Dai, Strain transfer analysis of fiber Bragg grating sensor assembled composite structures subjected to thermal loading. COMPOSITES PART B-ENGINEERING, 2019. 162: p. 303-313.
- Wang, H., P. Xiang and L. Jiang, Strain transfer theory of industrialized optical fiber-based sensors in civil engineering: A review on measurement accuracy, design and calibration. SENSORS AND ACTUATORS A-PHYSICAL, 2019. 285: p. 414-426.
- Zhang, S., et al., A mechanical model to interpret distributed fiber optic strain measurement at displacement discontinuities. STRUCTURAL HEALTH MONITORING-AN INTERNATIONAL JOURNAL, 2021. 20(5): p. 2585-2603.
- Zhang, S., et al., Fiber optic sensing of concrete cracking and rebar deformation using several types of cable. STRUCTURAL CONTROL & HEALTH MONITORING, 2021. 28(2).
- Liu, R.M., et al., Experimental study on structural defect detection by monitoring distributed dynamic strain. SMART MATERIALS AND STRUCTURES, 2015. 24(11).
- Oskoui, E.A., T. Taylor and F. Ansari, Method and monitoring approach for distributed detection of damage in multi-span continuous bridges. ENGINEERING STRUCTURES, 2019. 189: p. 385-395.
- Yuan, L.B., L.M. Zhou and J.S. Wu, Investigation of a coated optical fiber strain sensor embedded in a linear strain matrix material. OPTICS AND LASERS IN ENGINEERING, 2001. 35(4): p. 251-260.
- Shan, C., et al., Experimental and Numerical Study on the Low Velocity Impact Behavior of ABR Pipe. applied sciences, 2023. 13: p. 11390.
- Mahjoubi, S., X. Tan and Y. Bao, Inverse analysis of strain distributions sensed by distributed fiber optic sensors subject to strain transfer. MECHANICAL SYSTEMS AND SIGNAL PROCESSING, 2022. 166.
- Tan, X., et al., Strain transfer effect in distributed fiber optic sensors under an arbitrary field. AUTOMATION IN CONSTRUCTION, 2021. 124.
- Wei, H., et al., Low-coherent fiber-optic interferometry for in situ monitoring the corrosion-induced expansion of pre-stressed concrete cylinder pipes. STRUCTURAL HEALTH MONITORING-AN INTERNATIONAL JOURNAL, 2019. 18(5-6): p. 1862-1873.
- Xu, Z., et al., Surface Crack Detection in Prestressed Concrete Cylinder Pipes Using BOTDA Strain Sensors. MATHEMATICAL PROBLEMS IN ENGINEERING, 2017. 2017.
- Feng, X., et al., Distributed monitoring method for upheaval buckling in subsea pipelines with Brillouin optical time-domain analysis sensors. ADVANCES IN STRUCTURAL ENGINEERING, 2017. 20(2): p. 180-190.
- Lim, K., et al., Distributed fiber optic sensors for monitoring pressure and stiffness changes in out-of-round pipes. STRUCTURAL CONTROL & HEALTH MONITORING, 2016. 23(2): p. 303-314.
- Feng, X., et al., Experimental investigations on detecting lateral buckling for subsea pipelines with distributed fiber optic sensors. SMART STRUCTURES AND SYSTEMS, 2015. 15(2): p. 245-258.
- Li, Y., et al., Strain Transfer Characteristics of Resistance Strain-Type Transducer Using Elastic-Mechanical Shear Lag Theory. SENSORS, 2018. 18(8).
- Wang, H., L. Jiang and P. Xiang, Improving the durability of the optical fiber sensor based on strain transfer analysis. OPTICAL FIBER TECHNOLOGY, 2018. 42: p. 97-104.

























| Parameters | Fiber core (f) |
Protective layer (p) |
Adhesive (a) |
ABR (m) |
| E (GPa) | 72 | 0.00255 | 1 | 3 |
| r (m) | 0.0000625 | 0.0009 | 0.005 | 0.05 |
| v | 0.17 | 0.48 | 0.38 | 0.3 |
| ρ (kg/m3) | 2200 | 1200 | 1200 | 1200 |
| G (GPa) | 30.8 | 0.00085 | 0.21 | 1.154 |
| Amplification | Attenuation coefficient | Frequency | Cross-section area |
| A (kN) | B | f (Hz) | Sm(m2) |
| 100 | 800 | 80 | 0.01 |
| Parameter | Units | Details |
| Distance | m | 20 |
| Spatial resolution | mm | 0.64~10.24 |
| Sample rate | Hz | 100 |
| Resolution of Temperature | ℃ | 0.4 |
| Resolution of Strain | με | 4 |
| Range of Temperature | ℃ | -200~1200 |
| Temperature of operation | ℃ | 10~40 |
| Sensors | S-1 | S-2 | S-3 | C-1 | C-2 | C-3 |
| FBG | 903.5 | 942.5 | 885.2 | 88.7 | 112.4 | 52.1 |
| 887.5 | 963.7 | 863.7 | 88.7 | 112.5 | 52.1 | |
| 941.5 | 956.4 | 912.4 | 88.8 | 112.4 | 52.4 | |
| DOFS | 889.2 | 956.2 | 852.1 | 81.2 | 85.6 | 75.6 |
| 899.3 | 923.1 | 832.4 | 81.2 | 85.6 | 75.6 | |
| 887.2 | 995.6 | 812.6 | 81.2 | 85.6 | 75.6 | |
| Strain gauge | 1000.3 | 1023.2 | 1044.5 | 102.5 | 122.3 | 82.9 |
| 1058.9 | 1029.1 | 1051.2 | 102.6 | 122.3 | 82.9 | |
| 1051.8 | 1045.3 | 1042.5 | 102.9 | 122.3 | 82.9 |
| Sensors | P-1 | P-2 | P-3 | A-1 | A-2 | A-3 |
| FBG | 402.9 | 573.2 | 427.2 | 623.5 | 741.1 | 427.8 |
| 403.2 | 576.8 | 427.7 | 623.5 | 741.7 | 429.5 | |
| 404.4 | 579.3 | 427.9 | 623.9 | 743.1 | 429.5 | |
| DOFS | 396.4 | 551.1 | 411.1 | 611.7 | 715.6 | 410.8 |
| 397.4 | 552.1 | 412.2 | 614.7 | 745.6 | 412.9 | |
| 399.1 | 552.1 | 412.9 | 614.7 | 747.6 | 412.9 | |
| Strain gauge | 450.8 | 623.5 | 556.2 | 695.2 | 785.6 | 556.4 |
| 450.8 | 623.6 | 556.2 | 695.3 | 789.4 | 577.2 | |
| 450.8 | 623.6 | 556.2 | 695.9 | 782.6 | 584.6 |
| Sensors | 1 | 2 | 3 | 4 | Average |
| FBG | 1253.2 | 842.5 | 702.8 | 674.5 | |
| FBG/ Strain gauge | 90.8% | 93.5% | 93.7% | 99.1% | 94.3% |
| DOFS | 1254.7 | 833.6 | 693.1 | 664.9 | |
| DOFS/ Strain gauge | 90.9% | 92.6% | 92.4% | 97.6% | 93.4% |
| Strain gauge | 1380.2 | 900.7 | 750.4 | 681.2 | |
| FBG/ DOFS | 99.9% | 101.1% | 101.4% | 101.4% | 101.1% |
| Specimen | S-1 | S-2 | S-3 | C-1 | C-2 | C-3 |
| Theoretical results | 96.7% | 90.8% | 87.4% | 96.7% | 90.8% | 60.1% |
| Test results | 88.1% | 92.4% | 85.2% | 87.1% | 92.4% | 63.1% |
| Specimen | P-1 | P-2 | P-3 | A-1 | A-2 | A-3 |
| Theoretical results | 96.7% | 90.5% | 77.8% | 96.7% | 90.5% | 77.8% |
| Test results | 90.5% | 92.4% | 78.9% | 91.1% | 93.9% | 75.1% |
| Specimen | P-1 | P-2 | P-3 | A-1 | A-2 | A-3 |
| Theoretical results | 99.3% | 98.2% | 97.3% | 99.3% | 98.1% | 90.5% |
| Test results | 86.5% | 93.7% | 80.1% | 79.1% | 70.4% | 91.4% |
| Specimen | P-1 | P-2 | P-3 | A-1 | A-2 | A-3 |
| Theoretical results | 99.3% | 97.9% | 95.8% | 99.3% | 97.9% | 83.3% |
| Test results | 89.8% | 88.8% | 75.5% | 89.2% | 95.7% | 71.4% |
| Specimen | S-1 | S-2 | S-3 | C-1 | C-2 | C-3 |
| Theoretical results | 90.5% | 93.5% | 92.1% | 90.5% | 93.5% | 92.1% |
| Test results | 90.1% | 92.4% | 89.1% | 87.8% | 96.5% | 88.5% |
| 85.6% | 94.2% | 88.4% | 88.5% | 91.2% | 89.5% | |
| 88.6% | 92.7% | 89.6% | 93.4% | 90.5% | 91.5% |
| Specimen | P-1 | P-2 | P-3 | A-1 | A-2 | A-3 |
| Theoretical results | 90.5% | 93.5% | 92.1% | 90.5% | 93.5% | 92.1% |
| Test results | 91.5% | 92.5% | 90.5% | 93.9% | 90.2% | 91.6% |
| 90.1% | 92.4% | 87.7% | 84.1% | 90.1% | 92.6% | |
| 88.2% | 92.1% | 94.7% | 88.4% | 90.1% | 91.6% |
| Specimen | S-1 | S-2 | S-3 | C-1 | C-2 | C-3 |
| Theoretical results | 98.1% | 99.5% | 99.1% | 98.1% | 99.5% | 99.1% |
| Test results | 91.2% | 93.5% | 87.5% | 77.2% | 56.2% | 88.1% |
| 92.4% | 94.2% | 89.5% | 65.2% | 92.5% | 79.5% | |
| 89.9% | 96.5% | 74.5% | 81.3% | 56.9% | 85.4% |
| Specimen | P-1 | P-2 | P-3 | A-1 | A-2 | A-3 |
| Theoretical results | 98.1% | 99.5% | 99.1% | 98.1% | 99.5% | 99.1% |
| Test results | 77.5% | 81.6% | 78.4% | 65.8% | 80.5% | 76.8% |
| 82.9% | 96.2% | 82.5% | 77.5% | 92.4% | 75.7% | |
| 66.2% | 83.3% | 87.5% | 73.1% | 83.7% | 88.4% |
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