LEADER 05120nam 2201237z- 450 001 9910557104003321 005 20210501 035 $a(CKB)5400000000041007 035 $a(oapen)https://directory.doabooks.org/handle/20.500.12854/68469 035 $a(oapen)doab68469 035 $a(EXLCZ)995400000000041007 100 $a20202105d2021 |y 0 101 0 $aeng 135 $aurmn|---annan 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 00$aOptical Sensors for Structural Health Monitoring 210 $aBasel, Switzerland$cMDPI - Multidisciplinary Digital Publishing Institute$d2021 215 $a1 online resource (248 p.) 311 08$a3-0365-0172-X 311 08$a3-0365-0173-8 330 $aThe evolution and need for the preservation and maintenance of existing structures, recent or historical, has fostered research in the area of structural monitoring, translated into the development of new techniques, equipment and sensors. Early detection of damage and accurate assessment of structural safety requires monitoring systems, the data from which can be used to calibrate numerical models for structural analysis and to assess safety. Data are obtained under real-time conditions, considering a group of parameters related to structural properties, such as stresses, accelerations, deformations and displacements. The analysis of structural properties is particularly relevant when the structure is subjected to extreme events (earthquakes, wind, fire and explosions, among others) or repeated loads (road/rail/air traffic, vibrations induced by equipment and machines), since they affect the structural integrity and put the users at risk. In order to prevent the severe damage and eventual collapse of structures, and consequent human, material and economic losses, the implementation of monitoring systems becomes a valuable tool for today's society. Monitoring of structures is becoming increasingly important, not only as preventive action, but also due to actual economic and sustainability concerns, to ensure a safer and more comfortable built environment. 606 $aHistory of engineering and technology$2bicssc 610 $a3D reconstruction 610 $aartificial neural networks 610 $aatmosphere 610 $aautoencoder 610 $ablade tip timing 610 $abridge damage detection 610 $aBrillouin scattering 610 $acastigliano's theorem 610 $acentrifugal compressor 610 $acolorimetric detection 610 $aconvolutional neural network 610 $acorrosion sensor 610 $acrack detection 610 $acrack measurement 610 $acrack opening 610 $acracking 610 $adamage index 610 $adeep learning 610 $adepth sensor 610 $aDIC 610 $adistributed fiber optic sensors 610 $adistributed measurements 610 $adistributed optical fiber strain sensing cable 610 $adistributed vibration 610 $aelasto-plastic behavior 610 $aenvironmental monitoring 610 $aequivalent length 610 $afeature extraction 610 $aFiber Bragg grating 610 $aFiber Bragg Grating (FBG) 610 $afiber optic gyroscope 610 $afiber optic sensors 610 $afiber optic sensors embedded in concrete 610 $aflexural cracks 610 $aFusarium head blight 610 $agrowth stage 610 $ahybrid processes 610 $ahyperspectral imaging 610 $aimage-based measurement 610 $aload estimation 610 $aload localization 610 $amaterial extrusion 610 $amicrocracking 610 $amonitoring 610 $anon-synchronous blade vibration 610 $anuclear power plant 610 $aoil and gas pipelines 610 $aoptical fiber sensors 610 $aoptical fibers 610 $aPAD 610 $aphotometric stereo 610 $arandom forest 610 $aRayleigh scattering 610 $arotating stall 610 $ascour 610 $ashear cracks 610 $aSHM 610 $asimilarity measure 610 $asoil-structure interaction 610 $aspectral indices 610 $astrain measurement 610 $astrain sensing cable characterization 610 $astrain sensitivity coefficients 610 $astructural health monitoring 610 $asubway tunnel 610 $atemperature and strain monitoring 610 $atesting 610 $aUHPFRC 610 $aultra-weak FBG 610 $avisual inspection 610 $awater 610 $aweldable fiber optic sensors 610 $awinkler model 615 7$aHistory of engineering and technology 700 $aAntunes$b Paulo$4edt$01311314 702 $aVarum$b Humberto$4edt 702 $aAntunes$b Paulo$4oth 702 $aVarum$b Humberto$4oth 906 $aBOOK 912 $a9910557104003321 996 $aOptical Sensors for Structural Health Monitoring$93030233 997 $aUNINA