A review of vibration-based damage detection in civil structures: From traditional methods to Machine Learning and Deep Learning applications

O Avci, O Abdeljaber, S Kiranyaz, M Hussein… - Mechanical systems and …, 2021 - Elsevier
Monitoring structural damage is extremely important for sustaining and preserving the
service life of civil structures. While successful monitoring provides resolute and staunch …

A review of output-only structural mode identification literature employing blind source separation methods

A Sadhu, S Narasimhan, J Antoni - Mechanical Systems and Signal …, 2017 - Elsevier
Output-only modal identification has seen significant activity in recent years, especially in
large-scale structures where controlled input force generation is often difficult to achieve …

A deep learning approach to rapid regional post‐event seismic damage assessment using time‐frequency distributions of ground motions

X Lu, Y Xu, Y Tian, B Cetiner… - … Engineering & Structural …, 2021 - Wiley Online Library
Every year, earthquakes result in severe economic losses and a significant number of
casualties worldwide. In limiting the losses that occur after these extreme events, timely and …

Computer vision‐based real‐time cable tension estimation algorithm using complexity pursuit from video and its application in Fred‐Hartman cable‐stayed bridge

D Jana, S Nagarajaiah, Y Yang - Structural Control and Health …, 2022 - Wiley Online Library
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 …

Clustering number determination for sparse component analysis during output-only modal identification

TH Yi, XJ Yao, CX Qu, HN Li - Journal of Engineering Mechanics, 2019 - ascelibrary.org
Output-only modal identification plays an important role in the structural health monitoring of
large-scale structures. In recent years, blind source separation (BSS) has achieved great …

Output-only modal identification with limited sensors using sparse component analysis

Y Yang, S Nagarajaiah - Journal of Sound and Vibration, 2013 - Elsevier
Blind source separation (BSS) based methods have been shown to be efficient and powerful
to perform output-only modal identification. Existing BSS modal identification methods …

Modeling and harnessing sparse and low‐rank data structure: a new paradigm for structural dynamics, identification, damage detection, and health monitoring

S Nagarajaiah, Y Yang - Structural Control and Health …, 2017 - Wiley Online Library
This paper presents a new paradigm of explicitly modeling and harnessing the data
structure to address the inverse problems in structural dynamics, identification, and data …

On new approaches of maximum weighted target coverage and sensor connectivity: Hardness and approximation

TN Nguyen, BH Liu, SY Wang - IEEE Transactions on Network …, 2019 - ieeexplore.ieee.org
In mobile wireless sensor networks (MWSNs), because the movement of sensors consumes
much more power than that in sensing and communication, the problem of scheduling …

Real-time cable tension estimation from acceleration measurements using wireless sensors with packet data losses: Analytics with compressive sensing and sparse …

D Jana, S Nagarajaiah, Y Yang, S Li - Journal of Civil Structural Health …, 2022 - Springer
Stay-cables in the cable-stayed bridge are the most vital components as they carry the
bridge deck's load and transmit the force to the bridge pylons. However, dynamics loads due …

Real-time output-only identification of time-varying cable tension from accelerations via complexity pursuit

Y Yang, S Li, S Nagarajaiah, H Li… - Journal of Structural …, 2016 - ascelibrary.org
In-service cables of structures, such as those in cable-supported buildings and cable
bridges (eg, stay cables and suspenders), suffer from cumulative fatigue damage caused by …