LEADER 04840nam 2201153z- 450 001 9910557763903321 005 20231214133445.0 035 $a(CKB)5400000000045722 035 $a(oapen)https://directory.doabooks.org/handle/20.500.12854/76493 035 $a(EXLCZ)995400000000045722 100 $a20202201d2021 |y 0 101 0 $aeng 135 $aurmn|---annan 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aInnovative Methods and Materials in Structural Health Monitoring of Civil Infrastructures 210 $aBasel, Switzerland$cMDPI - Multidisciplinary Digital Publishing Institute$d2021 215 $a1 electronic resource (288 p.) 311 $a3-0365-0754-X 311 $a3-0365-0755-8 330 $aIn the past, when elements in sructures were composed of perishable materials, such as wood, the maintenance of houses, bridges, etc., was considered of vital importance for their safe use and to preserve their efficiency. With the advent of materials such as reinforced concrete and steel, given their relatively long useful life, periodic and constant maintenance has often been considered a secondary concern. When it was realized that even for structures fabricated with these materials that the useful life has an end and that it was being approached, planning maintenance became an important and non-negligible aspect. Thus, the concept of structural health monitoring (SHM) was introduced, designed, and implemented as a multidisciplinary method. Computational mechanics, static and dynamic analysis of structures, electronics, sensors, and, recently, the Internet of Things (IoT) and artificial intelligence (AI) are required, but it is also important to consider new materials, especially those with intrinsic self-diagnosis characteristics, and to use measurement and survey methods typical of modern geomatics, such as satellite surveys and highly sophisticated laser tools. 606 $aMedicine$2bicssc 610 $astructural health monitoring 610 $ajointless bridge 610 $ahigh-speed railway 610 $abearing 610 $aexpansion device 610 $adisplacement analysis 610 $astructural reliability estimation 610 $amodal identification 610 $afinite element model updating 610 $acyber-physical systems 610 $acrowdsourcing 610 $atemperature effects 610 $atime-lag effect 610 $aFourier series expansion 610 $abox-girder bridges 610 $astructural engineering 610 $aoverall deformation monitoring 610 $aperspective transformation 610 $aedge detection 610 $aclose-range photogrammetry 610 $arailway embankment 610 $acondition assessment 610 $aground penetrating radar 610 $amulti-attribute utility theory 610 $alaser scanner 610 $aline scanner 610 $astructure monitoring 610 $adeformation 610 $adynamic measurements 610 $ascan-to-BIM 610 $apoint cloud 610 $aHBIM 610 $aFEM 610 $aRhinoceros 610 $aterrestrial laser scanner (TLS) 610 $aground-based real aperture radar (GB-RAR) 610 $avibration frequency 610 $aspectral analysis 610 $adisplacement 610 $astructural health monitoring (SHM) 610 $avibration-based damage detection 610 $asystem identification 610 $asubspace system identification (SSI) 610 $atie rod 610 $anatural frequencies 610 $amode shapes 610 $aroot-mean-square error (RMSE) 610 $aenvironmental monitoring 610 $along-range mapping 610 $aMMS 610 $asub-millimetric EDM geodetic techniques 610 $adamage detection 610 $adamage localization 610 $ahybrid approach 610 $aneural network 610 $atimber bridges 610 $astress-laminated timber decks 610 $amonitoring 610 $ahumidity-temperature sensors 610 $awood moisture content 610 $amulti-phase models 610 $afinite element method 610 $amoving load identification 610 $astrain influence line 610 $aload transverse distribution 610 $astrain integral coefficient 610 $aidentification error 615 7$aMedicine 700 $aZinno$b Raffaele$4edt$0424535 702 $aArtese$b Serena$4edt 702 $aZinno$b Raffaele$4oth 702 $aArtese$b Serena$4oth 906 $aBOOK 912 $a9910557763903321 996 $aInnovative Methods and Materials in Structural Health Monitoring of Civil Infrastructures$93024560 997 $aUNINA