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Updated: Sep 10, 2025

Advanced Self-Healing Asphalt Reinforced by Graphene Structures: An Atomistic Insight
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グラフェン酸化物改変アスファルトコンクリートのマーシャル安定性の予測と設計最適化のためのハイブリッド機械学習アプローチ

Huong-Giang Thi Hoang1, Hoang-Long Nguyen1, Thuy-Anh Nguyen1

  • 1University of Transport Technology, Hanoi, 100000, Viet Nam.

Environmental research
|August 22, 2025
PubMed
まとめ

この研究では,グラフェン酸化物 (GO) 改変されたアスファルトコンクリートのマーシャル安定性 (MS) を予測するハイブリッドの機械学習モデルを開発した. このモデルはMSを正確に予測し,アスファルト設計における費用のかかる実験を削減します.

キーワード:
アスファルトコンクリートグラデーションの強化グラフェン酸化物ハイブリッド・マシン・ラーニングSHAP分析についてスタビリティ・マーシャル

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