Suppr超能文献

碳纳米管增强水泥力学性能的计算预测与实验值

Computational Prediction and Experimental Values of Mechanical Properties of Carbon Nanotube Reinforced Cement.

作者信息

Talayero Carlos, Aït-Salem Omar, Gallego Pedro, Páez-Pavón Alicia, Merodio-Perea Rosario G, Lado-Touriño Isabel

机构信息

School of Architecture, Engineering and Design, Universidad Europea de Madrid, 28670 Madrid, Spain.

Hexagon HMI, 28050 Madrid, Spain.

出版信息

Nanomaterials (Basel). 2021 Nov 8;11(11):2997. doi: 10.3390/nano11112997.

Abstract

The main objective of this study is to create a rigorous computer model of carbon nanotube composites to predict their mechanical properties before they are manufactured and to reduce the number of physical tests. A detailed comparison between experimental and computational results of a cement-based composite is made to match data and find the most significant parameters. It is also shown how the properties of the nanotubes (Young's modulus, aspect ratio, quantity, directionality, clustering) and the cement (Young's modulus) affect the composite properties. This paper tries to focus on the problem of modeling carbon nanotube composites computationally, and further study proposals are given.

摘要

本研究的主要目标是创建一个严格的碳纳米管复合材料计算机模型,以在制造之前预测其机械性能,并减少物理测试的数量。对水泥基复合材料的实验结果和计算结果进行了详细比较,以匹配数据并找出最重要的参数。还展示了纳米管的特性(杨氏模量、长径比、数量、方向性、聚集情况)和水泥的特性(杨氏模量)如何影响复合材料的性能。本文试图聚焦于通过计算对碳纳米管复合材料进行建模的问题,并给出了进一步的研究建议。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1e58/8617608/7a9e4194c73c/nanomaterials-11-02997-g001.jpg

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验