The Mathematical Model of a Built-In Fiber Optic TFBGs Sensor with Tilted Bragg Gratings for Diagnosing a Complex Deformed State in Polymer Composite Structures

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Abstract

The paper presents mathematical models of functioning and numerical values of information transfer coefficients for new built-in fibre-optic TFBGs-sensors (Tilted Fiber Bragg Gratings) with tilted Bragg gratings to diagnose a complex stress-strain state inside loaded polymer composite structures. The fiber optic TFBGs sensors have the form of a continuous structured cable sys- tem, in which six unidirectional light guides with the built-in Bragg gratings are placed with a fixed mutual hexagonal arrangement in extended continuous cylindrical polymer sensor housing. Dif- ferent 3D orientations of reflecting surfaces for different light guides were defined through the coordinates of non-planar normals to these surfaces. Numerical modeling of deformation fields in the elements of the fiber optic TFBGs-sensor was carried out for the calculation area composite materi- al/built-in sensor within the linear theory of elasticity. We present color diagrams of distributions for various components of the strain field along the middle cross-section of the calculation area with corre- sponding simple cases of its macrostrains. Also we give numerical values of strain tensor components averaged over the area of each light guide. Further, values of strain components averaged over the light guides are used to calculate axial strains along non-planar vectors - normals to reflecting surfaces of the tilted Bragg gratings. As a result, numerical values of the desired information transfer coefficients of the fibre-optic TFBGs sensor were found taking into account given orientations of reflecting surfaces of the tilted Bragg gratings of the sensor light guides. Thus, the task of diagnosing a complex deformed state inside a loaded polymer composite structure in a local neighborhood of a built-in fiber optic TFBGs sensor is reduced to solving a system of linear algebraic equations regarding the desired six independent components of the macrodeformation tensor of this neighborhood from the measured spectra of reflections of the optical fibers of the sensor.

Keywords

built-in fibre-optic TFBG-sensortilted Bragg gratingspolymer compositevolumetric stress-strain statenumerical modelling

Bibliography

  1. 1.Frajden Dzh., Sovremennye datchiki. Spravochnik [Mod- ern sensors. Reference book]. M.: Tekhnosfera, 2005, 592 p. Scholar
  2. 2.Kachura S.M., Postnov V.I. Perspektivnye optovolokonnye datchiki i ih primenenie (obzor) [Promising fiber optic sensors and their application (review )]. Trudy VIAM, 2019, no. 5. https://dx.doi.org/10.18577/2307-6046-2019-0-5-52-61 Scholar
  3. 3.Kuznecov A.A., Sahabutdinov A.ZH., Nureev I.I., Arte- m'ev V.I. Volokonnye breggovskie reshetki i mu'lptilaktivnye datchiki na ih osnove: uchebnoe posobie dlya VUZov [Fiber Bragg gratings and multiplicative sensors based on them: a textbook for universities], pod red. Morozova O.G. Kazan': Izd-vo KNITU- KAI, 2020, 108 p. Scholar
  4. 4.Sorokin K.V., Murashov V.V. Mirovye tendencii razvitiya raspredelennyh volokonno-opticheskih sensornyh sistem (Obzor) [Global trends in development of the distributed fiber-optical sen- sor systems (Review)]. Aviacionnye materialy i tekhnologii, 2015, no. 3(36), pp. 90-94. Scholar
  5. 5.Uorden K. Novye intellektual'nye materialy i konstrukcii [New intellectual materials and designs]. M.: Tekhnosfera, 2006, 223 p. Scholar
  6. 6.Troickij V.A., Karmanov M.N., Troickaya N.V. Ne- razrushayushchij kontrol' kachestva kompozicionnyh materialov [Nondestructive quality control of composite materials]. Tekhnicheskaya diagnostika i nerazrushayushchij kontrol, 2014, no. 3, pp. 29-33. Scholar
  7. 7.Alvarez-Montoya J., Carvajal-Castrillón A., Sierra-Pérez J. In-flight and wireless damage detection in a UAV composite wing using fiber optic sensors and strain field pattern recognition. Me- chanical Systems and Signal Processing, 2020, vol. 136, pp. 1-26. https://doi.org/10.1016/j.ymssp.2019.106526 Scholar
  8. 8.Fedotov M.YU., Sorokin K.V., Goncharov V.A., SHienok A.M., Zelenskij P.V. Vozmozhnosti sensornyh sistem i intel- lektual'nyh PKM na ih osnove [Possibilities of sensor systems and intellectual PCM on their basis]. Vse materialy. Enciklopedicheskij spravochnik, 2013, no. 2, pp. 18-23. Scholar
  9. 9.Kablov E.N., Sivakov D.V., Gulyaev I.N., Sorokin K.V., Fedotov M.YU., Dianov E.M., Vasil'ev S.A., Medvedkov O.I. Primenenie opticheskogo volokna v kachestve datchikov defor- macii v polimernyh kompozicionnyh materialah [Use of optical fiber as deformation sensors in polymeric composite materials]. Vse materi- aly. Enciklopedicheskij spravochnik, 2010, no. 3, pp. 10-15. Scholar
  10. 10.Najmushin I.G., Trufanov N.A., SHardakov I.N. Chislennyj analiz deformacionnyh processov v optovolokonnom datchike [The numerical analysis of deformation processes in the fiber-optic sensor]. Vestnik PNIPU. Mekhanika, 2012, no. 1, pp. 104-116. Scholar
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Article information

Published
30 June 2025
Issue date
30 June 2025
Issue
No. 2 (2025)
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