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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.

DOI:10.3390/nano11112997
PMID:34835764
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC8617608/
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/1e58/8617608/6b3e8934f369/nanomaterials-11-02997-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1e58/8617608/7a9e4194c73c/nanomaterials-11-02997-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1e58/8617608/51d19c49c421/nanomaterials-11-02997-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1e58/8617608/2915b828ce74/nanomaterials-11-02997-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1e58/8617608/ac7cb4757615/nanomaterials-11-02997-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1e58/8617608/c6250f659275/nanomaterials-11-02997-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1e58/8617608/6575c7f9722d/nanomaterials-11-02997-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1e58/8617608/220187bbed26/nanomaterials-11-02997-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1e58/8617608/9b531e76c8cf/nanomaterials-11-02997-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1e58/8617608/6b3e8934f369/nanomaterials-11-02997-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1e58/8617608/7a9e4194c73c/nanomaterials-11-02997-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1e58/8617608/51d19c49c421/nanomaterials-11-02997-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1e58/8617608/2915b828ce74/nanomaterials-11-02997-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1e58/8617608/ac7cb4757615/nanomaterials-11-02997-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1e58/8617608/c6250f659275/nanomaterials-11-02997-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1e58/8617608/6575c7f9722d/nanomaterials-11-02997-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1e58/8617608/220187bbed26/nanomaterials-11-02997-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1e58/8617608/9b531e76c8cf/nanomaterials-11-02997-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1e58/8617608/6b3e8934f369/nanomaterials-11-02997-g009.jpg

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引用本文的文献

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Materials (Basel). 2023 Feb 28;16(5):1992. doi: 10.3390/ma16051992.
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本文引用的文献

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From Graphene Oxide to Reduced Graphene Oxide: Impact on the Physiochemical and Mechanical Properties of Graphene-Cement Composites.从氧化石墨烯到还原氧化石墨烯：对石墨烯-水泥复合材料物理化学和力学性能的影响。
ACS Appl Mater Interfaces. 2017 Dec 13;9(49):43275-43286. doi: 10.1021/acsami.7b16736. Epub 2017 Dec 4.
不同类型碳纳米管增强水泥浆体的微观结构与电导率
Materials (Basel). 2022 Nov 11;15(22):7976. doi: 10.3390/ma15227976.
4
Mechanical Properties of Cement Reinforced with Pristine and Functionalized Carbon Nanotubes: Simulation Studies.原始及功能化碳纳米管增强水泥的力学性能：模拟研究
Materials (Basel). 2022 Nov 3;15(21):7734. doi: 10.3390/ma15217734.