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 …

Graph convolutional neural networks based strain estimation

G MARASCO, SS ESHKEVARI… - …, 2023 - dpi-proceedings.com.destechpub …
Infrastructural owners have to manage and control a huge number of structures that are
subject to many phenomena that can alter their performance. During their service life …

Uncertainty quantification in digital image correlation for experimental evaluation of deep learning based damage diagnostic

NS Gulgec, M Takáč, SN Pakzad - Structure and Infrastructure …, 2021 - Taylor & Francis
As the temporal and spatial resolution of monitoring data drastically increases by advances
in sensing technology, structural health monitoring applications reach the thresholds of big …

A framework for bridge condition assessment using graph neural network

G Marasco, SS Eshkevari, I Dabbaghchian… - Bridge Maintenance …, 2024 - taylorfrancis.com
A heuristic approach based on visual inspections cannot provide an adequate and unbiased
evaluation of bridges' structural state. Fatigue assessment methods, based on the structural …

Multi-LSTM-Based Framework for Ambient Intelligence

NS Gulgec, M Takáč, SN Pakzad - Dynamics of Civil Structures, Volume 2 …, 2022 - Springer
Bridge structures experience significant vibrations, repeated stress cycles, and deterioration
during their life cycles. Thus, it is essential to accurately establish life cycle assessment …

Mobile Sensing Networks for Strain Estimation and Fatigue Assessment: A Case Study of the State Route 33 Bridge

R Hamburger - 2021 - search.proquest.com
Structural health monitoring and fatigue assessment of bridges by current practices is
expensive in labor and capitol. This calls for innovative sensing solutions to investigate the …

Experimental Investigation of Smart Mobile Sensing for Fatigue Assessment with Deep Learning

H Whalen - 2020 - search.proquest.com
Structural health monitoring (SHM) research is a critical tool for keeping up to date on the
state of structures and understanding their behavior over time. One specific focus of SHM …