Utilizing Deep Learning for Automated Inspection and Damage Assessment in Civil Infrastructure Systems
SFBA Manaf - Applied Research in Artificial Intelligence and …, 2024 - researchberg.com
The integrity of civil infrastructure systems, including bridges, roads, tunnels, and buildings,
is critical for public safety and economic stability. Traditional methods of inspection and …
is critical for public safety and economic stability. Traditional methods of inspection and …
Data augmentation for deep-learning-based multiclass structural damage detection using limited information
The deterioration of infrastructure's health has become more predominant on a global scale
during the 21st century. Aging infrastructure as well as those structures damaged by natural …
during the 21st century. Aging infrastructure as well as those structures damaged by natural …
[PDF][PDF] A review on deep learning-based structural health monitoring of civil infrastructures
XW Ye, T Jin, CB Yun - Smart Struct. Syst, 2019 - researchgate.net
In the past two decades, structural health monitoring (SHM) systems have been widely
installed on various civil infrastructures for the tracking of the state of their structural health …
installed on various civil infrastructures for the tracking of the state of their structural health …
Smart structural condition assessment methods for civil infrastructures using deep learning algorithm
H Liu - 2018 - search.proquest.com
Abstract Smart Structural Health Monitoring (SHM) technique capable of automated and
accurate structural health condition assessment is appealing since civil infrastructural …
accurate structural health condition assessment is appealing since civil infrastructural …
Deep learning with computer vision for conditional assessment of civil systems
Assessing large-scale infrastructure systems and determining their health state under in-
service or extreme hazard events post great challenges due to the less access in system …
service or extreme hazard events post great challenges due to the less access in system …
Pruning deep neural networks for efficient edge computing in internet of things: A structural health monitoring case study
Condition assessment of civil infrastructures is a key application of Internet of Things (IoT)
while edge computing is a crucial component of IoT. In this context, swarms of autonomous …
while edge computing is a crucial component of IoT. In this context, swarms of autonomous …
Machine-aided bridge deck crack condition state assessment using artificial intelligence
The Federal Highway Administration (FHWA) mandates biannual bridge inspections to
assess the condition of all bridges in the United States. These inspections are recorded in …
assess the condition of all bridges in the United States. These inspections are recorded in …
Data augmentation for improving deep learning models in building inspections or postdisaster evaluation
Current building evaluations, whether for occupant safety or insurance appraisal, are
conducted primarily via visual inspections performed by certified individuals. These …
conducted primarily via visual inspections performed by certified individuals. These …
Multiclass damage detection in concrete structures using a transfer learning‐based generative adversarial networks
A large amount of the world's existing infrastructure is reaching the end of its service life,
requiring intervention in the form of structural rehabilitation or replacement. A critical aspect …
requiring intervention in the form of structural rehabilitation or replacement. A critical aspect …
Convolutional neural networks for automated damage recognition and damage type identification
C Modarres, N Astorga, EL Droguett… - Structural Control and …, 2018 - Wiley Online Library
Recurring expenses associated with preventative maintenance and inspection produce
operational inefficiencies and unnecessary spending. Human inspectors may submit …
operational inefficiencies and unnecessary spending. Human inspectors may submit …