首页> 外文会议>Conference on sensors and smart structures technologies for civil, mechanical, and aerospace systems >Material property assessment and crack identification of recycled concrete with embedded smart cement modules
【24h】

Material property assessment and crack identification of recycled concrete with embedded smart cement modules

机译:嵌入式智能水泥模块对再生混凝土的材料性能评估和裂缝识别

获取原文

摘要

In this paper, the material property assessment and crack identification of concrete using embedded smart cement modules are presented. Both the concrete samples with recycled aggregates (RA) and natural aggregates (NA) were prepared. The smart cement modules were fabricated and embedded in concrete beams to serve as either the actuators or sensors, and the elastic wave propagation-based technique was developed to detect the damage (crack) in the recycled aggregate concrete (RAC) beams and monitor the material degradation of RAC beams due to the freeze/thaw (F/T) conditioning cycles. The damage detection results and elastic modulus reduction monitoring data demonstrate that the proposed smart cement modules and associated damage detection and monitoring techniques are capable of identifying crack-type damage and monitoring material degradation of the RAC beams. Both the RAC and natural aggregate concrete (NAC) beams degrade with the increased F/T conditioning cycles. Though the RAC shows a lower reduction percentage of the modulus of elasticity from both the dynamic modulus and wave propagation tests at the given maximum F/T conditioning cycle (i.e., 300 in this study), the RAC tends to degrade faster after the 180 F/T cycles. As observed in this study, the material properties and degradation rate of RAC are comparable to those of NAC, thus making the RAC suitable for transportation construction. The findings in development of damage detection and health monitoring techniques using embedded smart cement modules resulted from this study promote the widespread application of recycled concrete in transportation construction and provide viable and effective health monitoring techniques for concrete structures in general.
机译:本文介绍了使用嵌入式智能水泥模块对混凝土进行材料性能评估和裂缝识别的方法。制备了具有再生骨料(RA)和天然骨料(NA)的混凝土样品。制造智能水泥模块并将其嵌入混凝土梁中以用作致动器或传感器,并开发了基于弹性波传播的技术来检测再生骨料(RAC)梁中的损伤(裂纹)并监控材料由于冻结/解冻(F / T)调节循环而导致RAC光束质量下降。损伤检测结果和弹性模量降低监测数据表明,所提出的智能水泥模块以及相关的损伤检测和监测技术能够识别裂纹类型的损伤并监测RAC梁的材料降解。 RAC和天然骨料混凝土(NAC)梁都随着F / T调节周期的增加而退化。尽管在给定的最大F / T调节周期(即本研究中为300)下,RAC在动态模量和波传播测试中均显示出较低的弹性模量降低百分比,但RAC在180 F后趋于更快降解。 / T周期。正如在这项研究中观察到的那样,RAC的材料特性和降解速率与NAC相当,因此使RAC适用于交通运输建设。这项研究得出的使用嵌入式智能水泥模块的损伤检测和健康监测技术的开发发现促进了再生混凝土在运输施工中的广泛应用,并为混凝土结构提供了可行且有效的健康监测技术。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号