Damage identification in structural health monitoring: A brief review from its implementation to the use of data-driven applications
The damage identification process provides relevant information about the current state of a
structure under inspection, and it can be approached from two different points of view. The …
structure under inspection, and it can be approached from two different points of view. The …
High-dimensional data analytics in structural health monitoring and non-destructive evaluation: A review paper
H Momeni, A Ebrahimkhanlou - Smart Materials and Structures, 2022 - iopscience.iop.org
This paper aims to review high-dimensional data analytic (HDDA) methods for structural
health monitoring (SHM) and non-destructive evaluation (NDE) applications. High …
health monitoring (SHM) and non-destructive evaluation (NDE) applications. High …
Spatiotemporal compressive sensing of full-field Lagrangian continuous displacement response from optical flow of edge: Identification of full-field dynamic modes
S Bhowmick, S Nagarajaiah - Mechanical Systems and Signal Processing, 2022 - Elsevier
The present state of condition monitoring of civil infrastructure involves the application of a
large number of contact-based vibration sensors at different locations of the structures. The …
large number of contact-based vibration sensors at different locations of the structures. The …
Real-time cable tension estimation from acceleration measurements using wireless sensors with packet data losses: Analytics with compressive sensing and sparse …
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 …
bridge deck's load and transmit the force to the bridge pylons. However, dynamics loads due …
High-dimensional data analytics in civil engineering: A review on matrix and tensor decomposition
Recent developments in sensing and monitoring techniques have led to the generation of
high-dimensional data in the field of civil engineering. High-dimensional data analytics …
high-dimensional data in the field of civil engineering. High-dimensional data analytics …
Data-driven full-field vibration response estimation from limited measurements in real-time using dictionary learning and compressive sensing
D Jana, S Nagarajaiah - Engineering Structures, 2023 - Elsevier
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 …
Cyclical parthenogenesis algorithm for guided modal strain energy based structural damage detection
A Kaveh, A Zolghadr - Applied Soft Computing, 2017 - Elsevier
In this paper, a newly developed multi-agent meta-heuristic method, named Cyclical
Parthenogenesis Algorithm (CPA), is incorporated into a guided modal strain energy based …
Parthenogenesis Algorithm (CPA), is incorporated into a guided modal strain energy based …
Full-field vibration response estimation from sparse multi-agent automatic mobile sensors using formation control algorithm
D Jana, S Nagarajaiah - Sensors, 2023 - mdpi.com
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
D Jana, S Nagarajaiah - Sensors, 2022 - mdpi.com
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 …
An improved complex multi-task Bayesian compressive sensing approach for compression and reconstruction of SHM data
HP Wan, GS Dong, Y Luo, YQ Ni - Mechanical Systems and Signal …, 2022 - Elsevier
The long-term structural health monitoring (SHM) provides massive data, leading to a high
demand for data transmission and storage. Compressive sensing (CS) has great potential in …
demand for data transmission and storage. Compressive sensing (CS) has great potential in …