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Structural performance and health monitoring of military composite smart bridges.

机译:军事复合智能桥的结构性能和健康监测。

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摘要

This research study aims at investigating structural performance and evaluating a novel advanced structural health monitoring for military composite bridges. The use of advanced composites in such applications has many benefits that allow for rapid mobility and erection at hostile battle field environments.;This study provides a comprehensive structural assessment of three composite bridge prototypes; namely: (i) Composite Army Bridge (CAB), (ii) Modular Composite Bridge (MCB) and (iii) Smart Composite Bridge (SCB).;In addition, a structural health monitoring (SHM) protocol with an advanced diagnostic/prognostic system (DPS) has been developed to ensure safety and reliability of such bridges. The integration of the DPS technology into the SHM protocol allows for gathering real-time diagnostic data and providing instantaneous prognostic field repair recommendations.;Another unique feature of the current system is the seamless integration of advanced sensing technology into the architecture of structural health monitoring to continuously monitor the performance of existing, repaired and retrofitted structures.;The study is divided into three integrated parts that includes: (i) Analysis and design of light-weight composite smart bridges with electronic nerve system, (ii) Development of SHM-DPS, and (iii) Development of field repair protocol for military bridges. In the first part of the study, Classical Lamination Theory (CLT) and Finite Element (FE) progressive failure analysis were used to select optimum materials and to determine both serviceability and ultimate capacity of such bridges. The outcomes of the proposed study provide genuine methodology for optimum design of composite bridges. Another major contribution is the application of progressive failure analysis and virtual testing using state-of-the-art GENOA software allowing for accurate predictions of bridge performance. The study developed a comprehensive field repair manual that can be adopted by the US Army for the current and future generations of composite bridges. In developing the repair system, ultra-high modulus composites were utilized. The advanced diagnostic/prognostic system developed in this study provides a new methodology for sustainable structures that is not limited to military bridges but can cover a wide variety of infrastructural systems subject to natural and manmade extreme loading events.
机译:这项研究旨在调查结构性能并评估用于军事复合材料桥梁的新型高级结构健康监测。在此类应用中使用高级复合材料具有许多优势,可在敌对战场环境中快速移动和架设。本研究对三种复合材料桥梁原型进行了全面的结构评估;即:(i)复合材料陆军桥梁(CAB),(ii)模块化复合物桥梁(MCB)和(iii)智能复合物桥梁(SCB)。;此外,具有高级诊断/预后功能的结构健康监测(SHM)协议已经开发了系统(DPS)以确保此类桥梁的安全性和可靠性。将DPS技术集成到SHM协议中可以收集实时诊断数据并提供即时的现场诊断维修建议。当前系统的另一个独特功能是将先进的传感技术无缝集成到结构健康监测的架构中,这项研究分为三个集成部分,包括:(i)具有电子神经系统的轻型复合智能桥的分析和设计,(ii)开发SHM-DPS (iii)制定军事桥梁的现场维修协议。在研究的第一部分中,经典层压理论(CLT)和有限元(FE)渐进式破坏分析用于选择最佳材料,并确定此类桥梁的使用寿命和极限承载力。拟议的研究结果为复合材料桥梁的最佳设计提供了真正的方法。另一个主要贡献是使用先进的GENOA软件进行渐进式故障分析和虚拟测试的应用,从而可以准确预测桥梁性能。该研究制定了一份全面的野外维修手册,美国陆军可将其用于当前和未来的复合桥。在开发修复系统时,使用了超高模量复合材料。这项研究中开发的高级诊断/预后系统为可持续结构提供了一种新方法,该方法不仅限于军事桥梁,还可以涵盖受自然和人为极端载荷事件影响的各种基础设施系统。

著录项

  • 作者

    Salama, Mohamed A. E.;

  • 作者单位

    University of California, Irvine.;

  • 授予单位 University of California, Irvine.;
  • 学科 Engineering Civil.
  • 学位 Ph.D.
  • 年度 2010
  • 页码 350 p.
  • 总页数 350
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

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