Integrating Data from Multiple Nondestructive Evaluation Technologies Using Machine Learning Algorithms for the Enhanced Assessment of a Concrete Bridge Deck
Several factors impact the durability of concrete bridge decks, including traffic loads, fatigue, temperature changes, environmental stress, and maintenance activities. Detecting problems such as corrosion, delamination, or concrete degradation early on can lower maintenance costs. Nondestructive ev...
Main Authors: | Mustafa Khudhair, Nenad Gucunski |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2023-12-01
|
Series: | Signals |
Subjects: | |
Online Access: | https://www.mdpi.com/2624-6120/4/4/46 |
Similar Items
-
Multi-NDE Technology Approach to Improve Interpretation of Corrosion in Concrete Bridge Decks Based on Electrical Resistivity Measurements
by: Mustafa Khudhair, et al.
Published: (2023-09-01) -
Review of Non-Destructive Civil Infrastructure Evaluation for Bridges: State-of-the-Art Robotic Platforms, Sensors and Algorithms
by: Habib Ahmed, et al.
Published: (2020-07-01) -
Ultrasonic Nondestructive Evaluation of Composite Bond Strength: Quantification through Bond Quality Index (BQI)
by: Sourav Banerjee, et al.
Published: (2024-03-01) -
Artificial Intelligence, Machine Learning and Smart Technologies for Nondestructive Evaluation
by: Hossein Taheri, et al.
Published: (2022-05-01) -
Bridge deck surface damage assessment using point cloud data
by: Issa Al Shaini, et al.
Published: (2023-12-01)