Emerging artificial intelligence methods in structural engineering

H Salehi, R Burgueño - Engineering structures, 2018 - Elsevier
Artificial intelligence (AI) is proving to be an efficient alternative approach to classical
modeling techniques. AI refers to the branch of computer science that develops machines …

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 …

Measurement of full-field displacement time history of a vibrating continuous edge from video

S Bhowmick, S Nagarajaiah, Z Lai - Mechanical Systems and Signal …, 2020 - Elsevier
Video of a vibrating structural component provides dense continuous spatial information of
motion compared to contact based sensors which are more localized. In order to harness …

Identification of full-field dynamic modes using continuous displacement response estimated from vibrating edge video

S Bhowmick, S Nagarajaiah - Journal of Sound and Vibration, 2020 - Elsevier
The video of vibrating structure provides dense quantitative continuous spatial information
that is harnessed using various computer vision algorithms in the past decade. Computer …

Structural sensing with deep learning: Strain estimation from acceleration data for fatigue assessment

NS Gulgec, M Takáč, SN Pakzad - Computer‐Aided Civil and …, 2020 - Wiley Online Library
Many of the civil structures experience significant vibrations and repeated stress cycles
during their life span. These conditions are the bases for fatigue analysis to accurately …

Emerging applications of artificial intelligence in structural engineering and construction industry

Y Hooda, P Kuhar, K Sharma… - Journal of Physics …, 2021 - iopscience.iop.org
With the beaming concept of Construction 4.0, the disciplines of structural engineering and
construction industry needs an advancement for the data collection, interpretation and …

Vibration mode identification method for structures using image correlation and compressed sensing

Y Kato, S Watahiki - Mechanical Systems and Signal Processing, 2023 - Elsevier
All objects are subject to deformations of their shapes that correspond to their natural
vibration modes. The analysis of these modes is extremely useful for structural design and …

AI-enabled indirect bridge strain sensing using field acceleration data

SS Eshkevari, D Sen, SS Eshkevari… - Computers & …, 2024 - Elsevier
Life-cycle performance assessment of bridges is crucial for decisions pertaining to
functionality, maintenance, and rehabilitation while accounting for inherent epistemic and …

A highly efficient compressed sensing algorithm for acoustic imaging in low signal-to-noise ratio environments

F Ning, F Pan, C Zhang, Y Liu, X Li, J Wei - Mechanical Systems and Signal …, 2018 - Elsevier
We study the acoustic imaging in low signal-to-noise ratio (SNR) environments with
compressed sensing (CS) and microphone arrays. In this work, we propose an OMP-SVD …

Strain expansion-reduction approach

J Baqersad, K Bharadwaj - Mechanical Systems and Signal Processing, 2018 - Elsevier
Validating numerical models are one of the main aspects of engineering design. However,
correlating million degrees of freedom of numerical models to the few degrees of freedom of …