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RESEARCH ON THE CONDITION OF READY-MIXED CONCRETE TEMPERATURE AND ESTIMATION BY MACHINE LEARNING IN THE HOT SEASON IN OKINAWA PREFECTURE
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- SHIMIZU Kanta
- Grad. School of Engineering and Science, UNIV. OF THE RYUKYUS
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- YAMADA Yoshitomo
- Faculty of Engineering, UNIV. OF THE RYUKYUS
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- XIAO Chunyan
- Grad. School of Engineering and Science, UNIV. OF THE RYUKYUS
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- KOYAMA Tomoyuki
- Grad. School of Human-Environment Studies, KYUSYU UNIV.
Bibliographic Information
- Other Title
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- 沖縄県の暑中期におけるレディーミクストコンクリート温度の実態調査と機械学習による温度推定に関する研究
Description
<p>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.</p>
Journal
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- AIJ Journal of Technology and Design
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AIJ Journal of Technology and Design 28 (68), 76-80, 2022-02-20
Architectural Institute of Japan
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Keywords
Details 詳細情報について
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- CRID
- 1390009683030587776
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- NII Article ID
- 130008161988
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- ISSN
- 18818188
- 13419463
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- Text Lang
- ja
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- Data Source
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- JaLC
- Crossref
- CiNii Articles
- OpenAIRE
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- Abstract License Flag
- Disallowed