Intrinsic Polymer Optical Fiber Sensors for High-Strain Applications

Kiesel, Sharon; Vickle, Patrick Van; Peters, Kara; Hassan, Tasnim; Kowalsky, Mervyn J.

doi:10.1115/imece2005-81448

Cited by 3 publications

(3 citation statements)

References 14 publications

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“…Of note, the specific applications using displacement fields to reconstruct elastic and elasto-plastic properties (and corresponding damage characteristics) have been the source of significant research [102][103][104][105][106][107][108][109][110][111][112][113][114][115][116][117]. In the pervasive case where displacement/strain measurements are discretely measured from strain gauges/fibre-optics, inverse methodologies have also been fruitfully employed for damage characterization, pressure and strain mapping, and shape sensing [118][119][120][121][122][123][124][125][126][127][128][129]. Perhaps one measure illustrating the success of such inverse approaches is highlighted by the recent interest in optimizing the related sensing schemes [118,[130][131][132].…”

Section: (B) Static Inverse Problems In Shmmentioning

confidence: 99%

Structural engineering from an inverse problems perspective

et al. 2022

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The field of structural engineering is vast, spanning areas from the design of new infrastructure to the assessment of existing infrastructure. From the onset, traditional entry-level university courses teach students to analyse structural responses given data including external forces, geometry, member sizes, restraint, etc.—characterizing a forward problem (structural causalities → structural response). Shortly thereafter, junior engineers are introduced to structural design where they aim to, for example, select an appropriate structural form for members based on design criteria, which is the inverse of what they previously learned. Similar inverse realizations also hold true in structural health monitoring and a number of structural engineering sub-fields (response → structural causalities). In this light, we aim to demonstrate that many structural engineering sub-fields may be fundamentally or partially viewed as inverse problems and thus benefit via the rich and established methodologies from the inverse problems community. To this end, we conclude that the future of inverse problems in structural engineering is inexorably linked to engineering education and machine learning developments.

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Section: (B) Static Inverse Problems In Shmmentioning

confidence: 99%

Structural engineering from an inverse problems perspective

et al. 2022

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“…5. In the pervasive case where displacement/strain measurements are discretely measured from strain gauges/fibre optics, inverse methodologies have also been fruitfully employed for damage characterisation, pressure and strain mapping, and shape sensing [116,117,118,119,120,121,122,123,124,125,126,127]. Perhaps one measure illustrating the success of such inverse approaches is highlighted by the recent interest in optimising the related sensing schemes [128,129,116,130].…”

Section: Static Inverse Problems In Shmmentioning

confidence: 99%

Structural engineering from an inverse problems perspective

Gallet,

Rigby,

Tallman

et al. 2021

Preprint

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The field of structural engineering is vast, spanning areas from the design of new infrastructure to the assessment of existing infrastructure. From the onset, traditional entry-level university courses teach students to analyse structural response given data including external forces, geometry, member sizes, restraint, etc. -characterising a forward problem (structural causalities → structural response). Shortly thereafter, junior engineers are introduced to structural design where they aim to, for example, select an appropriate structural form for members based on design criteria, which is the inverse of what they previously learned. Similar inverse realisations also hold true in structural health monitoring and a number of structural engineering sub-fields (response → structural causalities). In this light, we aim to demonstrate that many structural engineering sub-fields may be fundamentally or partially viewed as inverse problems and thus benefit via the rich and established methodologies from the inverse problems community. To this end, we conclude that the future of inverse problems in structural engineering is inexorably linked to engineering education and machine learning developments.

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“…POFs can be considered as a strong alternative to silica fibres, in applications such as short distance optical links, Terahertz waveguides and filters, and mainly in sensing applications [ 1 , 2 , 3 , 4 ] due to their flexibility, high failure strain, large cores and great elasticity. The mechanical properties provide enhanced sensitivity or longer operational range to intrinsic polymer fibre sensors when they are used for strain, stress, pressure, temperature and humidity monitoring, as well as for transverse force sensing [ 5 , 6 , 7 , 8 , 9 , 10 , 11 , 12 ]. Many of these sensors are based on FBGs, which have been written in different spectral regions in doped and undoped step-index POFs [ 13 ], microstructured POF (mPOF) (including PMMA and TOPAS materials) [ 13 , 14 , 15 ], as well as low loss cyclic optical polymer (CYTOP)-perfluorinated POFs [ 16 ], and graded-index POFs [ 17 ].…”

Section: Introductionmentioning

confidence: 99%

Fast Bragg Grating Inscription in PMMA Polymer Optical Fibres: Impact of Thermal Pre-Treatment of Preforms

Marques

Pospori

Demirci

et al. 2017

Sensors

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In this work, fibre Bragg gratings (FBGs) were inscribed in two different undoped poly- (methyl methacrylate) (PMMA) polymer optical fibres (POFs) using different types of UV lasers and their inscription times, temperature and strain sensitivities are investigated. The POF Bragg gratings (POFBGs) were inscribed using two UV lasers: a continuous UV HeCd @325 nm laser and a pulsed UV KrF @248 nm laser. Two PMMA POFs are used in which the primary and secondary preforms (during the two-step drawing process) have a different thermal treatment. The PMMA POFs drawn in which the primary or secondary preform is not specifically pre-treated need longer inscription time than the fibres drawn where both preforms have been pre-annealed at 80 °C for 2 weeks. Using both UV lasers, for the latter fibre much less inscription time is needed compared to another homemade POF. The properties of a POF fabricated with both preforms thermally well annealed are different from those in which just one preform step process is thermally treated, with the first POFs being much less sensitive to thermal treatment. The influence of annealing on the strain and temperature sensitivities of the fibres prior to FBG inscription is also discussed, where it is observed that the fibre produced from a two-step drawing process with well-defined pre-annealing of both preforms did not produce any significant difference in sensitivity. The results indicate the impact of preform thermal pre-treatment before the PMMA POFs drawing, which can be an essential characteristic in the view of developing POF sensors technology.

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Intrinsic Polymer Optical Fiber Sensors for High-Strain Applications

Cited by 3 publications

References 14 publications

Structural engineering from an inverse problems perspective

Structural engineering from an inverse problems perspective

Structural engineering from an inverse problems perspective

Fast Bragg Grating Inscription in PMMA Polymer Optical Fibres: Impact of Thermal Pre-Treatment of Preforms

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