沖縄県のレディーミクストコンクリート温度の通年実態調査と機械学習によるコンクリート温度推定

Translated title of the contribution: YEAR-ROUND SURVEY OF READY-MIXED CONCRETE TEMPERATURE IN OKINAWA PREFECTURE AND CONCRETE TEMPERATURE ESTIMATION USING MACHINE LEARNING

Ryuichi Higa, Yoshitomo Yamada, Tomoyuki Koyama

Research output: Contribution to journalArticlepeer-review

Abstract

In this study, we surveyed ready-mixed concrete shipped in Okinawa Prefecture from June 2020 to December 2021 to investigate the actual condition of concrete at the time of mixing and unloading using concrete formulation, material temperature, environmental and transportation information. In addition, Random Forest and LightGBM were used to learn to predict the concrete temperature at the time of mixing and unloading from each factor in the collected data. In addition, the effect of features on the prediction accuracy of the learning model was evaluated by Partial Dependence Plot.

Translated title of the contributionYEAR-ROUND SURVEY OF READY-MIXED CONCRETE TEMPERATURE IN OKINAWA PREFECTURE AND CONCRETE TEMPERATURE ESTIMATION USING MACHINE LEARNING
Original languageJapanese
Pages (from-to)633-638
Number of pages6
JournalAIJ Journal of Technology and Design
Volume29
Issue number72
DOIs
Publication statusPublished - Jun 1 2023

All Science Journal Classification (ASJC) codes

  • Architecture
  • Building and Construction

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