journal article·2018-07-13Open access

A Running Reference Analysis Method to Greatly Improve Optical Backscatter Reflectometry Strain Data from the Inside of Hardening and Shrinking Materials

Søren Heinze, Andreas T. Echtermeyer

Applied Sciences· Volume 8· Issue 7

Abstract

Due to the increasing ease of use and the superiority of the results, distributed strain measurements, utilizing Optical Backscatter Reflectometry (OBR), have become more important and widespread over the last few years. Strains are calculated from the difference between an actual optical Raleigh backscattering measurement and an initial reference value. However, under certain physical conditions, e.g., pinching or microbending of the optical fiber, no meaningful strain values are yielded by the commonly-used method to analyze OBR data. Such conditions were experienced in this study where the optical fiber was embedded into hardening epoxy for measuring shrinkage due to curing. In this work, it is shown that a new data analysis method called the “running reference analysis method” can overcome such obstacles and deliver meaningful strain values in circumstances in which the traditional method fails. In the new approach, each measurement is compared to the previous measurement, and the strain differences are added up to the absolute strain value. This method does not require a new experimental technique and will also work on old measurement files. It is also useful for other types of (OBR) strain measurements that contain many outliers and is not restricted to the investigation of cured epoxy.
Source: crossref · Quality: baseline

Research context

OpenAlex topics: Advanced Fiber Optic Sensors · Analytical Chemistry and Sensors · Concrete Corrosion and Durability

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

Affiliations

Department of Mechanical and Industrial Engineering, NTNU, Norwegian University of Science and Technology, Richard Birkelands vei 2b, 7024 Trondheim, Norway

Funding

Norges Forskningsråd

References (59)

Show source-provided references
1. An overview on the effect of internal curing on shrinkage of high performance cement-based materials10.1016/j.conbuildmat.2017.04.154 ↗
2. Early age shrinkage and heat of hydration of cement-fly ash-slag ternary blends10.1016/j.conbuildmat.2017.07.138 ↗
3. Method for the determination of the cure shrinkage of epoxy formulations10.1088/0950-7671/43/7/415 ↗
4. Shrinkage and strength development of alkali-activated fly ash-slag binary cements10.1016/j.conbuildmat.2017.06.040 ↗
5. Cure shrinkage characterization and modeling of a polyester resin containing low profile additives10.1016/j.compositesa.2006.06.020 ↗
6. Effect of the substitution of cement by limestone filler on the rheological behavior and shrinkage of microconcretes10.1016/j.conbuildmat.2016.08.062 ↗
7. High precision pycnometer for volumetric measurement of polymerization shrinkage in light cured dental composites10.1016/j.measurement.2016.05.103 ↗
8. Characterization of the absolute volume change of cement pastes in early-age hydration process based on helium pycnometry10.1016/j.conbuildmat.2017.03.108 ↗
9. Development of a Dilatometer and Its Application to Low-Shrinkage Unsaturated Polyester Resins10.1002/app.1992.070450105 ↗
10. Shrinkage determination of a reactive polymer with volumetric dilatometry10.1016/j.polymertesting.2010.01.008 ↗
11. Measurement of chemical shrinkage of cement paste: Comparison study of ASTM C 1608 and an improved method10.1016/j.conbuildmat.2013.07.086 ↗
12. Development of eigenstress due to drying shrinkage in hardened portland cement pastes: Thermomechanical analysis10.1016/0008-8846(94)90032-9 ↗
13. Evaluation of cure shrinkage measurement techniques for thermosetting resins10.1016/j.polymertesting.2010.05.001 ↗
14. Early longitudinal dimensional changes of fresh fly ash mortar exposed to drying conditions10.1016/0008-8846(86)90014-1 ↗
15. A linear test method for determining early-age shrinkage of concrete10.1680/macr.2008.00004 ↗
16. Effects of specimen size on assessment of shrinkage cracking of concrete via elliptical rings: Thin vs. thick10.1016/j.compstruc.2015.12.005 ↗
17. Heinze, S., and Echtermeyer, A. (2018). In-situ strain measurements in large volumes of hardening epoxy using Optical Backscatter Reflectometry. Appl. Sci., 8.10.3390/app8071141 ↗
18. Numerical strategies for prediction of drying cracks in heterogeneous materials: Comparison upon experimental results10.1016/j.engstruct.2010.12.013 ↗
19. Digital image correlation measurement of resin chemical and thermal shrinkage after gelation10.1007/s10853-015-9072-3 ↗
20. Analysis of Stress Due to Shrinkage in a Hardening Process of Liquid Epoxy Resin10.1002/htj.10028 ↗
21. The effect of nano-MgO on the setting time, autogenous shrinkage, microstructure and mechanical properties of high performance cement paste and mortar10.1016/j.conbuildmat.2017.08.168 ↗
22. Comparative shrinkage behavior of ultra-high-performance fiber-reinforced concrete under ambient and heat curing conditions10.1016/j.conbuildmat.2017.12.029 ↗
23. Experimental investigation into early age shrinkage of cement paste by using fiber Bragg gratings10.1016/S0958-9465(03)00077-5 ↗
24. Strain development in a filled epoxy resin curing under constrained and unconstrained conditions as assessed by Fibre Bragg Grating sensors10.3144/expresspolymlett.2007.34 ↗
25. Simultaneous measurement of shrinkage and temperature of reactive powder concrete at early-age using fiber Bragg grating sensors10.1016/j.cemconcomp.2007.02.003 ↗
26. In situ measurement using FBGs of process-induced strains during curing of thick glass/epoxy laminate plate: Experimental results and numerical modeling10.1002/we.1550 ↗
27. Characterization of residual strains in an epoxy block using an embedded FBG sensor and the OLCR technique10.1016/j.compositesa.2005.05.009 ↗
28. Monitoring of solidification induced strains in two resins used in photofabrication10.1016/j.matdes.2009.02.010 ↗
29. Polarization effects in polymer FBGs: Study and use for transverse force sensing10.1364/OE.23.004581 ↗
30. Highly sensitive liquid level monitoring system utilizing polymer fiber Bragg gratings10.1364/OE.23.006058 ↗
31. Quantitative strain measurement and crack detection in RC structures using a truly distributed fiber optic sensing system10.1016/j.conbuildmat.2012.05.029 ↗
32. Application of optical fiber distributed sensing to health monitoring of concrete structures10.1016/j.ymssp.2012.01.027 ↗
33. Cracking assessment in concrete structures by distributed optical fiber10.1088/0964-1726/24/3/035005 ↗
34. Measuring changing strain fields in composites with Distributed Fiber-Optic Sensing using the optical backscatter reflectometer10.1016/j.compositesb.2015.01.003 ↗
35. Strain fields in adhesively bonded patch repairs of damaged Metallic beams10.1016/j.polymertesting.2015.09.013 ↗
36. Fatigue Crack Growth Monitoring in Composite Bonded Lap Joints by a Distributed Fibre Optic Sensing System and Comparison with Ultrasonic Testing10.1080/00218464.2015.1123153 ↗
37. Damage and nonlinearities detection in wind turbine blades based on strain field pattern recognition. FBGs, OBR and strain gauges comparison10.1016/j.compstruct.2015.08.137 ↗
38. Structural behavior of an all-composite road bridge10.1016/j.compstruct.2018.03.042 ↗
39. Hexion (2018, May 20). Datasheet—EPIKOTE Resin MGS RIMR 135 and EPIKURE Curing Agent MGS RIMH 134-RIMH 13, 2006. The Datasheet Can Be Requested from Hexion Online under. Available online: http://www.hexion.com/en-US/product/--archive--epikote-resin-mgs-rimr135-and-epikure-curing-agent-mgs-rimh134-rimh1366-rimh137-rimh138.
40. Samiec, D. (2012). Distributed fiber-optic temperature and strain measurement with extremely high spatial resolution. Photonik Int., 10–13.
41. High-spatial-resolution distributed strain measurement in optical fiber with Rayleigh scatter10.1364/AO.37.001735 ↗
42. High resolution optical frequency domain reflectometry for characterization of components and assemblies10.1364/OPEX.13.000666 ↗
43. Recent Progress in Brillouin Scattering Based Fiber Sensors10.3390/s110404152 ↗
44. Simultaneous strain and temperature monitoring of the composite cure with a Brillouin-scattering-based distributed sensor10.1117/1.1482100 ↗
45. Ramakrishnan, M., Rajan, G., Semenova, Y., and Farrell, G. (2016). Overview of Fiber Optic Sensor Technologies for Strain/Temperature Sensing Applications in Composite Materials. Sensors, 16.10.3390/s16010099 ↗
46. Kreger, S.T., Gifford, D.K., Froggatt, M.E., Soller, B.J., and Wolfe, M.S. (2006). High Resolution Distributed Strain or Temperature Measurements in Single- and Multi-Mode Fiber Using Swept-Wavelength Interferometry, Optical Society of America.10.1364/OFS.2006.ThE42 ↗
47. Distributed Fiber Optic Strain Measurement Using Rayleigh Scatter in Composite Structures
48. Practical Microbending Loss Formula for SingleMode Optical Fibers10.1109/JQE.1979.1070029 ↗
49. Curvature and microbending losses in single-mode optical fibers10.1007/BF00624057 ↗
50. Microbending Loss in Optical Fibers10.1002/j.1538-7305.1975.tb02848.x ↗
51. Maurin, L., Ferdinand, P., Nony, F., and Villalonga, S. (2014, January 8–11). OFDR Distributed Strain Measurements for SHM of Hydrostatic Stressed Structures: An Application to High Pressure Hydrogen Storage Type IV Composite Vessels—H2E Project. Proceedings of the EWSHM-7th European Workshop on Structural Health Monitoring, Nantes, France.
52. Procedures for Detecting Outlying Observations in Samples10.1080/00401706.1969.10490657 ↗
53. (2018, May 20). Software Used to Obtain the Data for This Article Can be Found under. Search There for ‘OBR-Running-Reference-Method-Software’. Available online: https://github.com/.
54. (2018, May 20). GNU General Public License. Available online: http://www.gnu.org/licenses/gpl.html.
55. (2018, May 20). Data and Software Used to Obtain the Data Presented in This Article. Available online: https://doi.org/10.5281/zenodo.113477.
56. Analysis of Extreme Values10.1214/aoms/1177729747 ↗
57. Sample Criteria for Testing Outlying Observations10.1214/aoms/1177729885 ↗
58. OutlierFlag: A Tool for Scientific Data Quality Control by Outlier Data Flagging10.5334/jors.90 ↗
59. The myth of occam’s razor10.1093/mind/XXVII.3.345 ↗