A review of theoretical concepts and diverse applications of sparse representations and
compressive sampling (CS) approaches in engineering mechanics problems is provided …

结构健康监测作为保障重大工程结构安全的重要技术, 近些年来在世界范围内得到了快速的发展
和应用, 国内外许多大型工程结构安装了监测系统并且积累了海量的监测数据 …

Structural health monitoring (SHM) technology has been developed approximately for a
decade, and many civil infrastructures have been installed SHM systems. These systems …

Reconstructing lost dynamic responses is significant for structural condition assessment in
structural health monitoring (SHM). Current advanced methods usually employ deep …

Long-span single-pier rigid frame bridge may experience excessive bearing displacement
under temperature variation, which can result in structural deformation or instability, causing …

Increase in the demand for reliable structural health information led to the development of
Structural Health Monitoring (SHM). Prediction of upcoming accidents and estimation of …

Structural condition perception is a crucial step in structural health monitoring (SHM).
Random loss or corruption of sensing data seriously hinders the reliability of the monitoring …

Conventional vibration‐based damage detection methods employ the Tikhonov
regularization in model updating to deal with the problems of underdeterminacy and …

Modelling and simulation of spatially or temporally varying geo-data play a pivotal role in the
development of digital twins of civil infrastructures and smart cities. Measurements on geo …

Missing data, especially a block of missing data, inevitably occur in structural health
monitoring systems. Because of their severe negative effects, many methods that use …