Prediction of the critical buckling load of SWCNT reinforcedconcrete cylindrical shell embedded in an elastic foundation

IF 2.9 4区 工程技术 Q2 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS Computers and Concrete Pub Date : 2020-07-01 DOI:10.12989/CAC.2020.26.1.053
A. Timesli
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引用次数: 12

Abstract

Concrete is the most widely used substance in construction industry, so it\'s been required to improve its quality using new technologies. Nowadays, nanotechnology offers new frontiers for improving construction materials. In this paper, we study the stability analysis of the Single Walled Carbon Nanotubes (SWCNT) reinforced concrete cylindrical shell embedded in elastic foundation using the Donnell cylindrical shell theory. In this regard, we propose a new explicit analytical formula of the critical buckling load which takes into account the distribution of SWCNT reinforcement through the thickness of the concrete shell using the U, X, O and V forms and the elastic foundation using Winkler and Pasternak models. The rule of mixture is used to calculate the effective properties of the reinforced concrete cylindrical shell. The influence of diverse parameters on the stability behavior of the reinforced concrete shell is also discussed.
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弹性地基中swcnts钢筋混凝土圆柱壳的临界屈曲荷载预测
混凝土是建筑工业中应用最广泛的材料,因此对其质量的提高提出了新的要求。如今,纳米技术为改善建筑材料提供了新的领域。本文利用Donnell圆柱壳理论对单壁碳纳米管(SWCNT)钢筋混凝土圆柱壳嵌入弹性地基的稳定性进行了研究。在这方面,我们提出了一个新的临界屈曲载荷的显式分析公式,该公式考虑了碳纳米管钢筋通过混凝土外壳厚度的分布(采用U, X, O和V型)和弹性基础(采用Winkler和Pasternak模型)。采用混合规则计算钢筋混凝土圆柱壳的有效性能。讨论了不同参数对钢筋混凝土壳稳定性能的影响。
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来源期刊
Computers and Concrete
Computers and Concrete 工程技术-材料科学:表征与测试
CiteScore
8.60
自引率
7.30%
发文量
0
审稿时长
13.5 months
期刊介绍: Computers and Concrete is An International Journal that focuses on the computer applications in be considered suitable for publication in the journal. The journal covers the topics related to computational mechanics of concrete and modeling of concrete structures including plasticity fracture mechanics creep thermo-mechanics dynamic effects reliability and safety concepts automated design procedures stochastic mechanics performance under extreme conditions.
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