AIJ Journal of Technology and Design
Online ISSN : 1881-8188
Print ISSN : 1341-9463
ISSN-L : 1341-9463
Materials and Construction
RESEARCH ON THE CONDITION OF READY-MIXED CONCRETE TEMPERATURE AND ESTIMATION BY MACHINE LEARNING IN THE HOT SEASON IN OKINAWA PREFECTURE
Kanta SHIMIZUYoshitomo YAMADAChunyan XIAOTomoyuki KOYAMA
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JOURNAL FREE ACCESS

2022 Volume 28 Issue 68 Pages 76-80

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Abstract

In this study, we survey on ready-mixed concrete shipped in Okinawa prefecture, including material temperature, concrete temperature at the time of kneading and unloading, and outside temperature. As a result, It was found that the concrete temperature at the time of unloading must be about 33℃ or less so that the concrete temperature at the time of kneading does not exceed 35℃. We also showed that random forest and LightGBM, which are a type of machine learning, can estimate concrete temperature at the time of kneading and unloading with high accuracy from the unit quantity of material, material and outside temperature.

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© 2022, Architectural Institute of Japan
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