000109430 001__ 109430
000109430 005__ 20230519145516.0
000109430 0247_ $$2doi$$a10.3390/S21113766
000109430 0248_ $$2sideral$$a125440
000109430 037__ $$aART-2021-125440
000109430 041__ $$aeng
000109430 100__ $$aSoriano-Amat, Miguel
000109430 245__ $$aMonitoring of a highly flexible aircraft model wing using time-expanded phase-sensitive OTDR
000109430 260__ $$c2021
000109430 5060_ $$aAccess copy available to the general public$$fUnrestricted
000109430 5203_ $$aIn recent years, the use of highly flexible wings in aerial vehicles (e.g., aircraft or drones) has been attracting increasing interest, as they are lightweight, which can improve fuel-efficiency and distinct flight performances. Continuous wing monitoring can provide valuable information to prevent fatal failures and optimize aircraft control. In this paper, we demonstrate the capabilities of a distributed optical fiber sensor based on time-expanded phase-sensitive optical time-domain reflectometry (TE-ΦOTDR) technology for structural health monitoring of highly flexible wings, including static (i.e., bend and torsion), and dynamic (e.g., vibration) structural deformation. This distributed sensing technology provides a remarkable spatial resolution of 2 cm, with detection and processing bandwidths well under the MHz, arising as a novel, highly efficient monitoring methodology for this kind of structure. Conventional optical fibers were embedded in two highly flexible specimens that represented an aircraft wing, and different bending and twisting movements were detected and quantified with high sensitivity and minimal intrusiveness.
000109430 536__ $$9info:eu-repo/grantAgreement/EC/H2020/875302/EU/Ocean-Bottom Distributed Acoustic Sensors: new tools for Underwater Seismology/Ocean-DAS$$9This project has received funding from the European Union’s Horizon 2020 research and innovation program under grant agreement No H2020 875302-Ocean-DAS$$9info:eu-repo/grantAgreement/ES/MICINN/RTI2018-097957-B-C31$$9info:eu-repo/grantAgreement/ES/MICINN/RTI2018-097957-BC33
000109430 540__ $$9info:eu-repo/semantics/openAccess$$aby$$uhttp://creativecommons.org/licenses/by/3.0/es/
000109430 590__ $$a3.847$$b2021
000109430 592__ $$a0.803$$b2021
000109430 594__ $$a6.4$$b2021
000109430 591__ $$aCHEMISTRY, ANALYTICAL$$b29 / 87 = 0.333$$c2021$$dQ2$$eT2
000109430 593__ $$aAnalytical Chemistry$$c2021$$dQ1
000109430 591__ $$aINSTRUMENTS & INSTRUMENTATION$$b19 / 64 = 0.297$$c2021$$dQ2$$eT1
000109430 593__ $$aBiochemistry$$c2021$$dQ1
000109430 591__ $$aENGINEERING, ELECTRICAL & ELECTRONIC$$b95 / 277 = 0.343$$c2021$$dQ2$$eT2
000109430 593__ $$aInstrumentation$$c2021$$dQ1
000109430 593__ $$aInformation Systems$$c2021$$dQ1
000109430 593__ $$aElectrical and Electronic Engineering$$c2021$$dQ1
000109430 655_4 $$ainfo:eu-repo/semantics/article$$vinfo:eu-repo/semantics/publishedVersion
000109430 700__ $$aFragas-Sánchez, David
000109430 700__ $$aMartins, Hugo F.
000109430 700__ $$aVallespín-Fontcuberta, David
000109430 700__ $$0(orcid)0000-0001-5898-8777$$aPreciado-Garbayo, Javier
000109430 700__ $$aMartin-Lopez, Sonia
000109430 700__ $$aGonzalez-Herraez, Miguel
000109430 700__ $$aFernández-Ruiz, María R.
000109430 773__ $$g21, 11 (2021), 3766 [10 pp.]$$pSensors$$tSensors$$x1424-8220
000109430 8564_ $$s1888372$$uhttps://zaguan.unizar.es/record/109430/files/texto_completo.pdf$$yVersión publicada
000109430 8564_ $$s2908271$$uhttps://zaguan.unizar.es/record/109430/files/texto_completo.jpg?subformat=icon$$xicon$$yVersión publicada
000109430 909CO $$ooai:zaguan.unizar.es:109430$$particulos$$pdriver
000109430 951__ $$a2023-05-18-15:16:31
000109430 980__ $$aARTICLE