LEADER 04163nam 2201021z- 450 001 9910743275603321 005 20230911 035 $a(CKB)5690000000228552 035 $a(oapen)doab113901 035 $a(EXLCZ)995690000000228552 100 $a20230920c2023uuuu -u- - 101 0 $aeng 135 $aurmn|---annan 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 00$aIntelligent Building Health Monitoring and Assessment 210 $cMDPI - Multidisciplinary Digital Publishing Institute$d2023 215 $a1 online resource (236 p.) 311 08$a3-0365-8449-8 330 $aBuildings play an indispensable role in urban development. As typical structures of transportation buildings, bridges serve as crucial nodes in connecting different regions, promoting economic growth, and ensuring social security. However, with the extension of their service life, the performance of bridges will inevitably decline. Performance monitoring and evaluation are crucial during the life cycle of bridges. The accelerating convergence of civil engineering, materials science, and artificial intelligence has sparked the interest of researchers from different disciplines in the emerging field of bridge state perception. This reprint covers topics on condition monitoring and assessment of engineering structures, featuring 13 papers. These studies provide some novel methods, models, and technological applications for bridge condition perception, which are of great significance for the design, construction, and assessment of bridges. 606 $aHistory of engineering & technology$2bicssc 606 $aTechnology: general issues$2bicssc 610 $a3D FEM modelling 610 $aactive underpinning 610 $aalignment prediction 610 $aarch rib inclination angle 610 $abearing characteristics 610 $abridge engineering 610 $abridge substructure 610 $abridge temperature 610 $acable-stayed bridge 610 $acantilever anti-slide pile 610 $aCFST arch bridge 610 $acorrosion factors 610 $adung beetle optimizer (DBO) 610 $aevolution law of internal force and deformation 610 $afiber-reinforced polymer 610 $afield verification 610 $afinite element method 610 $afriction-pendulum bearing 610 $ahighway basket-handle arch bridge 610 $aintermediate crack debonding 610 $alarge-span track bridge 610 $alateral stability 610 $aloading system 610 $along-span bridge 610 $alongitudinal temperature distribution 610 $amachine learning 610 $amagnetic resonance 610 $amagnetoelastic effect 610 $aMobileNetV2 610 $amonitoring 610 $aMonte Carlo 610 $amoving force identification 610 $amoving loads identification 610 $an/a 610 $aneural networks 610 $aNewmark-? method 610 $anon-uniform temperature field 610 $aoptimized calculation method of internal force 610 $aplate end debonding 610 $arebar 610 $aresponse surface method 610 $arigid-frame arch bridge 610 $ascale model test 610 $aseismic-performance improvement 610 $ashield tunnelling 610 $aspatial diffusion model 610 $astay cable 610 $astayed-buckle cable 610 $asteel box girder 610 $asteel tube concrete truss arch 610 $asteel-concrete composite beam 610 $asuper-long span 610 $atest design 610 $aTikhonov regularisation 610 $atransfer learning 610 $atrapezoidal thrust load 610 $avehicle-bridge interaction 610 $aweight calculation method 610 $aworking stress 615 7$aHistory of engineering & technology 615 7$aTechnology: general issues 906 $aBOOK 912 $a9910743275603321 996 $aIntelligent Building Health Monitoring and Assessment$93560552 997 $aUNINA