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Experimental, numerical and analytical studies of smart composite materials and their applications.

机译:智能复合材料及其应用的实验,数值和分析研究。

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摘要

The thesis discusses the experimental, numerical and analytical aspects pertaining to active and passive smart composite materials. Several applications of these smart materials are illustrated.; The experimental part of the research is guided by the objective to design and develop a long-term structural health monitoring system for civil engineering based infrastructure. This is primarily accomplished by the successful design, manufacturing and processing of smart glass fiber reinforced polymer (GFRP) composite tendons with embedded Fabry-Perot fiber optic sensors. The smart tendons are fabricated using pultrusion. Previous research has assessed the behavior of these smart composites in both laboratory and other ambient conditions using different tests (quasi-static, fatigue, short- and long-term creep). This thesis continues that work by examining the performance of the tendons in reinforced concrete beams. For this purpose, a number of concrete beams with embedded smart GFRP tendons are designed, analyzed and fabricated in laboratory conditions. The novel use of smart GFRP/steel reinforcements (referred to as 'hybrid' reinforcements) in concrete structures is examined. A comprehensive testing program is followed for the beams, including thermal exposure during and after concrete curing phases, static and cyclic failure-induced loadings, and long-term creep loadings. The strain rate and deformation of the beams during loading are monitored by the embedded sensors as well as by conventional monitoring devices. The results show that the smart GFRP rebars are capable of fulfilling a dual role---reinforcing elements by virtue of their mechanical properties and long-term structural strain monitoring devices by virtue of the embedded Fabry-Perot fiber optic sensors.; To compliment this work, nonlinear finite element (FE) models pertaining to the smart concrete beams are developed. The FE models are shown to be effective in predicting various parameters of interest such as failure modes, crack patterns, failure loads, strains and stresses. The strain and deformation values computed by the FE models agree well with the readings of the embedded Fabry-Perot fiber optic sensors.; For the analytical part of the thesis, closed-form solutions, based on a modified asymptotic homogenization composite shell model, are obtained for the static three-dimensional deformations of piezoelectric composite shells with a periodic structure. The model makes it possible to determine both the local fields and the effective properties of piezoelectric shell structures by means of solutions of the derived three-dimensional local 'unit-cell' problems. (Abstract shortened by UMI.)
机译:本文讨论了与主动和被动智能复合材料有关的实验,数值和分析方面。说明了这些智能材料的几种应用。研究的实验部分以目标为指导,以设计和开发基于土木工程的基础设施的长期结构健康监测系统。这主要是通过成功设计,制造和加工带有嵌入式Fabry-Perot光纤传感器的智能玻璃纤维增​​强聚合物(GFRP)复合肌腱来实现的。智能肌腱使用拉挤成型制造。先前的研究已经使用不同的测试(准静态,疲劳,短期和长期蠕变)评估了这些智能复合材料在实验室和其他环境条件下的性能。本文通过检查钢筋混凝土梁中钢筋的性能来继续进行这项工作。为此,在实验室条件下设计,分析和制造了许多带有嵌入式智能GFRP筋的混凝土梁。研究了智能GFRP /钢增强材料(称为“混合”增强材料)在混凝土结构中的新颖用途。遵循针对梁的综合测试程序,包括混凝土固化阶段期间和之后的热暴露,静态和循环破坏引起的载荷以及长期蠕变载荷。在加载过程中,梁的应变率和变形通过嵌入式传感器以及传统的监控设备进行监控。结果表明,智能GFRP钢筋凭借其机械性能和内置的Fabry-Perot光纤传感器可长期起到结构加固和监视设备的双重作用。为了补充这项工作,开发了与智能混凝土梁有关的非线性有限元(FE)模型。有限元模型可以有效地预测各种感兴趣的参数,例如破坏模式,裂纹模式,破坏载荷,应变和应力。 FE模型计算的应变和变形值与嵌入式Fabry-Perot光纤传感器的读数非常吻合。在论文的分析部分,基于修正的渐近均匀化复合壳模型,获得了具有周期结构的压电复合壳的静态三维变形的闭式解。该模型使得可以通过导出的三维局部“单胞”问题的解来确定压电壳结构的局部场和有效特性。 (摘要由UMI缩短。)

著录项

  • 作者

    Saha, Gobinda Chandra.;

  • 作者单位

    Dalhousie University (Canada).;

  • 授予单位 Dalhousie University (Canada).;
  • 学科 Engineering Mechanical.
  • 学位 Ph.D.
  • 年度 2005
  • 页码 360 p.
  • 总页数 360
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 机械、仪表工业;
  • 关键词

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