Hyperspectral Signatures for Detecting the Concrete Hydration Process Using Neural Networks

Hyperspectral Signatures for Detecting the Concrete Hydration Process Using Neural Networks

The curing process of a concrete sample has a significant influence on hydration and its strength. This means that inadequate curing conditions lead to a loss of concrete quality and negative consequences in structural engineering. In addition, different state-of-the-art (SOTA) curing surface treatm...

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Bibliographic Details
Main Authors: Shiming Li, Alfred Strauss, Damjan Grba, Maximilian Granzner, Benjamin Täubling-Fruleux, Thomas Zimmermann
Format: Article
Language:English
Published: MDPI AG 2025-07-01
Series:Infrastructures
Subjects:
concrete curing
hyperspectral imaging
comparative curing treatment
non-destructive measurement
artificial neural network
convolutional neutral network
Online Access:https://www.mdpi.com/2412-3811/10/7/172
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