LEADER 00790nam0 2200301 450 001 9910856699703321 005 20240604163736.0 100 $a20240604d1970----km y0itay50 ba 101 0 $afre 102 $aFR 105 $a 001yy 200 1 $aEpistémologie des sciences de l'homme$fJean Piaget 210 $aParis$cGallimard$d1970 215 $a380 p.$d18 cm 225 1 $aIdées$v260 454 0$12001 610 0 $aScienze umane$aEpistemologia 610 0 $aPsicologia 676 $a306$v22$zita 676 $a150 700 1$aPiaget,$bJean$024722 801 0$aIT$bUNINA$gREICAT$2UNIMARC 901 $aBK 912 $a9910856699703321 952 $aBON / PIA 1$b11762$fBFS 959 $aBFS 996 $aEpistémologie des sciences de l'homme$9270575 997 $aUNINA LEADER 05379nam 2201309z- 450 001 9910557359603321 005 20220111 035 $a(CKB)5400000000042296 035 $a(oapen)https://directory.doabooks.org/handle/20.500.12854/77001 035 $a(oapen)doab77001 035 $a(EXLCZ)995400000000042296 100 $a20202201d2021 |y 0 101 0 $aeng 135 $aurmn|---annan 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 00$aNovel Approaches for Structural Health Monitoring 210 $aBasel, Switzerland$cMDPI - Multidisciplinary Digital Publishing Institute$d2021 215 $a1 online resource (344 p.) 311 08$a3-0365-2404-5 311 08$a3-0365-2405-3 330 $aThe thirty-plus years of progress in the field of structural health monitoring (SHM) have left a paramount impact on our everyday lives. Be it for the monitoring of fixed- and rotary-wing aircrafts, for the preservation of the cultural and architectural heritage, or for the predictive maintenance of long-span bridges or wind farms, SHM has shaped the framework of many engineering fields. Given the current state of quantitative and principled methodologies, it is nowadays possible to rapidly and consistently evaluate the structural safety of industrial machines, modern concrete buildings, historical masonry complexes, etc., to test their capability and to serve their intended purpose. However, old unsolved problematics as well as new challenges exist. Furthermore, unprecedented conditions, such as stricter safety requirements and ageing civil infrastructure, pose new challenges for confrontation. Therefore, this Special Issue gathers the main contributions of academics and practitioners in civil, aerospace, and mechanical engineering to provide a common ground for structural health monitoring in dealing with old and new aspects of this ever-growing research field. 606 $aTechnology: general issues$2bicssc 610 $a"compression-softening" theory 610 $aAdamax 610 $aadaptive-passive damping 610 $aBayesian inference 610 $abending test 610 $aBOTDR 610 $aBouc-Wen model 610 $abridge 610 $abroken rail detection 610 $acategorical cross-entropy 610 $aCFRP sheet 610 $acombined subspace system identification 610 $acovariance-driven stochastic subspace identification (SSI-COV) 610 $acover delamination 610 $acrack damage detection 610 $across-modal strain energy 610 $adamage detection 610 $adamping of vibrations 610 $adata-driven stochastic subspace identification (SSI-DATA) 610 $adeep neural network 610 $adisplacement 610 $adynamic characteristic 610 $aexperiments 610 $aextreme function theory 610 $aextreme value theory 610 $afailure monitoring accuracy 610 $afiber optics 610 $afrequency 610 $afull-field reconstruction 610 $aGB-RAR 610 $ageneralised extreme distribution 610 $aguided wave ultrasound 610 $ahealth and structural integrity 610 $ahysteretic system identification 610 $ainterfacial de-bonding 610 $ainverse Finite Element Method 610 $ainverse problem 610 $amachine learning 610 $amasonry structures 610 $amodel calibration 610 $amonitoring system 610 $amooring line 610 $amultisensor array 610 $an/a 610 $anoise robustness 610 $anon destructive testing 610 $anon-destructive testing 610 $anoncontact remote sensing (NRS) 610 $anondestructive testing (NDT) method 610 $aoptical flow algorithm 610 $aParticle Impact Damper 610 $apeak frequency 610 $apiezoelectric admittance 610 $apiezoelectric impedance 610 $apipeline 610 $aprecise positioning 610 $aprestress force determination 610 $aprestress loss 610 $aprestressed concrete (PC) girder 610 $aPRISMA 610 $arail 610 $arail diagnostics 610 $areal-time monitoring 610 $aseismic structural health monitoring 610 $asensitivity analysis 610 $asensor optimization 610 $ashape sensing 610 $asigmoid function 610 $astrain distribution characteristics 610 $astructural health monitoring 610 $aStructural Health Monitoring 610 $astructural health monitoring (SHM) 610 $asubmerged floating tunnel 610 $asubspace system identification 610 $asuper high-rise building 610 $aun-bonded position 610 $auncertainty quantification 610 $auniaxial automatic cruise acquisition device 610 $avertical deflection measurement 610 $avibration-based damage detection 610 $awheel flat 615 7$aTechnology: general issues 700 $aSurace$b Cecilia$4edt$0760234 702 $aSurace$b Cecilia$4oth 906 $aBOOK 912 $a9910557359603321 996 $aNovel Approaches for Structural Health Monitoring$93033304 997 $aUNINA