株式会社極東書店トップ商品一覧Prediction and Evaluation of Hardened Concrete Strength: Based on Machine Learning and Mixture Composition.

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Prediction and Evaluation of Hardened Concrete Strength: Based on Machine Learning and Mixture Composition.

Prediction and Evaluation of Hardened Concrete Strength: Based on Machine Learning and Mixture Composition.

【Open Accessタイトル】

・ISBN 978-981-9682-36-2 hard EUR 49.99

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お気に入り
著者・編者Xu, Yidong / Mao, Jianghong / Zhuge, Weijie / Yu, Xiaoniu / Wu, Ping,
出版社 (Springer Nature Switzerland AG, SZ)
出版年月2025
ページ数108 pp.
言語ENG
ニュース番号<A04-52631>

解説

This open access book monitors the development of the temperature field within concrete structures and, based on the Arrhenius equation, constructs F-P maturity equations applicable to different temperature ranges. It investigates the impact of hydration rate on the strength prediction method of the maturity equation. Furthermore, the book employs artificial neural network theory to improve the accuracy of early concrete strength predictions, optimizing the neural network model to develop a more precise and widely applicable prediction model. An intelligent program is developed using MATLAB, facilitating rapid strength prediction and assessment on construction sites using measured parameters.