Intelligent Building Health Monitoring and Assessment

• Other Authors: Xin, Jingzhou (Editor), Jiang, Yan (Editor), Wu, Bo (Editor), Yang, Simon X. (Editor)
• Format: Electronic Book Chapter
• Language: English
• Published: MDPI - Multidisciplinary Digital Publishing Institute 2023
• Subjects: Technology: general issues; History of engineering & technology; shield tunnelling; active underpinning; bridge substructure; 3D FEM modelling; field verification; cantilever anti-slide pile; trapezoidal thrust load; bearing characteristics; optimized calculation method of internal force; evolution law of internal force and deformation; bridge engineering; moving loads identification; MobileNetV2; transfer learning; plate end debonding; intermediate crack debonding; fiber-reinforced polymer; machine learning; dung beetle optimizer (DBO); large-span track bridge; steel-concrete composite beam; cable-stayed bridge; alignment prediction; response surface method; Monte Carlo; bridge temperature; non-uniform temperature field; longitudinal temperature distribution; steel box girder; long-span bridge; steel tube concrete truss arch; highway basket-handle arch bridge; arch rib inclination angle; finite element method; lateral stability; working stress; rebar; monitoring; magnetoelastic effect; magnetic resonance; moving force identification; vehicle-bridge interaction; Newmark-β method; Tikhonov regularisation; stay cable; corrosion factors; neural networks; spatial diffusion model; rigid-frame arch bridge; scale model test; test design; loading system; weight calculation method; CFST arch bridge; super-long span; friction-pendulum bearing; stayed-buckle cable; seismic-performance improvement; n/a
• Online Access: DOAB: download the publication; DOAB: description of the publication

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.