Predicting the Compressive Strength of Carbon-Enhanced Cementitious Composites Using Two-Dimensional Convolutional Neural Networks-Reference-Cited by-同舟云学术

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Predicting the Compressive Strength of Carbon-Enhanced Cementitious Composites Using Two-Dimensional Convolutional Neural Networks

Published:2023 Issue: Volume: Page:
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Author:

Jeon Seung Bae,Kang Sunho,Jeong Myeong-Hun,Lee Heeyoung

Publisher

Elsevier BV

Reference69 articles.

1. Effect of nanosilica on characterization of Portland cement composite;J Y Shih;Mater. Sci. Eng. A,2006

2. Strength and fire resistance of a high-strength nano-polymer modified cementitious composite;S J Lee;Compos. Struct,2017

3. Effect of curing time on thermal response characterization of carbon-nano cementitious composites;H Lee;Compos. Struct,2021

4. Influence of carbon nanotubes structure on the mechanical behavior of cement composites;S Musso;Compos. Struct,2009

5. Heating performance of cementitious composites with carbon-based nanomaterials;H Lee;Crystals,2022

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