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

Translated title of the contribution: RESEARCH ON THE CONDITION OF READY-MIXED CONCRETE TEMPERATURE AND ESTIMATION BY MACHINE LEARNING IN THE HOT SEASON IN OKINAWA PREFECTURE

Kanta Shimizu, Yoshitomo Yamada, Chunyan Xiao, Tomoyuki Koyama

Research output: Contribution to journalArticlepeer-review

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.

Translated title of the contributionRESEARCH ON THE CONDITION OF READY-MIXED CONCRETE TEMPERATURE AND ESTIMATION BY MACHINE LEARNING IN THE HOT SEASON IN OKINAWA PREFECTURE
Original languageJapanese
Pages (from-to)76-80
Number of pages5
JournalAIJ Journal of Technology and Design
Volume28
Issue number68
DOIs
Publication statusPublished - Feb 20 2022

All Science Journal Classification (ASJC) codes

  • Architecture
  • Building and Construction

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