Motion magnification for video-based vibration measurement of civil structures: A review
Vibration measurement plays an important role in the inspection and monitoring of civil
structures. In recent years, the computer vision (CV)-based method has gained significant …
structures. In recent years, the computer vision (CV)-based method has gained significant …
CNN and Convolutional Autoencoder (CAE) based real-time sensor fault detection, localization, and correction
Increasing advances in sensing technologies and analytics have led to the proliferation of
sensors to monitor structural and infrastructural systems. Accurate sensor data can provide …
sensors to monitor structural and infrastructural systems. Accurate sensor data can provide …
Digital image correlation for assessment of bridges' technical state and remaining resource
Bridges enable communications and transportation of goods nationally and internationally,
underpinning economic and social activities, and thus they are pylons of our prosperity and …
underpinning economic and social activities, and thus they are pylons of our prosperity and …
Computer vision‐based real‐time cable tension estimation algorithm using complexity pursuit from video and its application in Fred‐Hartman cable‐stayed bridge
Real‐time health monitoring of stay cables in cable‐stayed bridges is necessary for timely
maintenance and to avoid unforeseen fatigue damage due to vortex‐induced vibration …
maintenance and to avoid unforeseen fatigue damage due to vortex‐induced vibration …
Data-driven nonlinear model reduction to spectral submanifolds in mechanical systems
While data-driven model reduction techniques are well-established for linearizable
mechanical systems, general approaches to reducing nonlinearizable systems with multiple …
mechanical systems, general approaches to reducing nonlinearizable systems with multiple …
Measurement and identification of the nonlinear dynamics of a jointed structure using full-field data, Part I: Measurement of nonlinear dynamics
Jointed structures are ubiquitous constituents of engineering systems; however, their
dynamic properties (eg, natural frequencies and dam** ratios) are challenging to identify …
dynamic properties (eg, natural frequencies and dam** ratios) are challenging to identify …
Data-driven full-field vibration response estimation from limited measurements in real-time using dictionary learning and compressive sensing
Full-field online sensing provides dense spatial information of vibrating structures in real-
time. Such compact sensing is essential to pinpoint the location of possible damage and for …
time. Such compact sensing is essential to pinpoint the location of possible damage and for …
Lagrangian operator inference enhanced with structure-preserving machine learning for nonintrusive model reduction of mechanical systems
Complex mechanical systems often exhibit strongly nonlinear behavior due to the presence
of nonlinearities in the energy dissipation mechanisms, material constitutive relationships, or …
of nonlinearities in the energy dissipation mechanisms, material constitutive relationships, or …
Full-field vibration response estimation from sparse multi-agent automatic mobile sensors using formation control algorithm
In structural vibration response sensing, mobile sensors offer outstanding benefits as they
are not dedicated to a certain structure; they also possess the ability to acquire dense spatial …
are not dedicated to a certain structure; they also possess the ability to acquire dense spatial …
Physics-guided real-time full-field vibration response estimation from sparse measurements using compressive sensing
In civil, mechanical, and aerospace structures, full-field measurement has become
necessary to estimate the precise location of precise damage and controlling purposes …
necessary to estimate the precise location of precise damage and controlling purposes …