4.6 Article

Structural modal identification and health monitoring of building structures using self-sensing cementitious composites

期刊

SMART MATERIALS AND STRUCTURES
卷 29, 期 5, 页码 -

出版社

IOP PUBLISHING LTD
DOI: 10.1088/1361-665X/ab79b9

关键词

self-sensing; cement; sensor; carbon nanotube; modal identification; structural health monitoring

资金

  1. Research Grants Council of the Hong Kong Special Administrative Region, China [T22/502/18]
  2. National Science Foundation of China [51578110]
  3. Hong Kong Polytechnic University [1-BBAG]
  4. Innovation and Technology Commission of the Hong Kong SAR Government [K-BBY1]

向作者/读者索取更多资源

Recently self-sensing cementitious composite has demonstrated its strong potentiality for structural health monitoring of civil infrastructures because of its low-cost, long-term stability and compatibility with concrete structures. In this paper, we propose novel hybrid nanocarbon materials engineered cement-based sensors (HNCSs) with high-sensitivity, which are fabricated with self-sensing cementitious composites containing electrostatic self-assembled CNT/NCB composite fillers. The mechanical property and sensing performance of the HNCSs are pre-characterized under static and dynamic compressive loadings. The HNCSs are then integrated into a five-story building model via custom-made clamps to verify the feasibility for dynamic response measurements. Results show that the developed sensors have satisfactory mechanical property and excellent pressure-sensitive reproducibility and stability. With clamps holding on the building model, the HNCSs perform satisfactorily under sinusoidal excitations in the frequency range from 2 to 40 Hz. In addition, the modal frequencies and their changes of the building model caused by 'damage' simulated through adding additional masses identified by the HNCSs are favorably consistent with the counterparts acquired by accelerometers and strain gauges, indicating that the developed HNCSs have great potential for structural modal identification and damage detection applications.

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