AIJ Journal of Technology and Design
Online ISSN : 1881-8188
Print ISSN : 1341-9463
ISSN-L : 1341-9463
Materials and Construction
DEVELOPMENT OF SLUMP PREDICTION METHOD FOR CONCRETE IN MIXING PROCESS USING AI TECHNOLOGY
Hiroyuki HAYANO
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2021 Volume 27 Issue 65 Pages 13-17

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Abstract

Slump, an index that indicates the consistency of fresh concrete before it sets, is one of the most important quality measurement criteria. Fundamental technology that contributes to stabilized concrete manufacturing to instantly predict the slump of mixed concrete with high accuracy using Artificial Intelligence (AI) has developed. In this experiment, the method using deep learning and image recognition techniques of AI could to predict the slump from an image of concrete mixing in a mixer, with an extremely high accuracy rate of over 99% within a measured value ± 2.5 cm.

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© 2021, Architectural Institute of Japan
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