Intelligent Building Health Monitoring and Assessment

• Pubblicazione: MDPI - Multidisciplinary Digital Publishing Institute, 2023
• Descrizione fisica: 1 online resource (236 p.)
• Soggetto topico: History of engineering & technology; Technology: general issues
• Soggetto non controllato: 3D FEM modelling; active underpinning; alignment prediction; arch rib inclination angle; bearing characteristics; bridge engineering; bridge substructure; bridge temperature; cable-stayed bridge; cantilever anti-slide pile; CFST arch bridge; corrosion factors; dung beetle optimizer (DBO); evolution law of internal force and deformation; fiber-reinforced polymer; field verification; finite element method; friction-pendulum bearing; highway basket-handle arch bridge; intermediate crack debonding; large-span track bridge; lateral stability; loading system; long-span bridge; longitudinal temperature distribution; machine learning; magnetic resonance; magnetoelastic effect; MobileNetV2; monitoring; Monte Carlo; moving force identification; moving loads identification; n/a; neural networks; Newmark-β method; non-uniform temperature field; optimized calculation method of internal force; plate end debonding; rebar; response surface method; rigid-frame arch bridge; scale model test; seismic-performance improvement; shield tunnelling; spatial diffusion model; stay cable; stayed-buckle cable; steel box girder; steel tube concrete truss arch; steel-concrete composite beam; super-long span; test design; Tikhonov regularisation; transfer learning; trapezoidal thrust load; vehicle-bridge interaction; weight calculation method; working stress
• Sommario/riassunto: Buildings 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.
• Titolo autorizzato: Intelligent Building Health Monitoring and Assessment
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Lingua di pubblicazione: Inglese
• Record Nr.: 9910743275603321
• Lo trovi qui: Univ. Federico II