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Monitoring of soil water content using spherical smart aggregates based on electromechanical impedance (EMI) technique

Author(s): ORCID


ORCID
ORCID
Medium: journal article
Language(s): English
Published in: Smart Materials and Structures, , n. 7, v. 32
Page(s): 074002
DOI: 10.1088/1361-665x/acd506
Abstract:

Real-time monitoring of soil water content is of great significance to prevent many engineering accidents, such as landslide, water seepage of foundation dam, and reduction of foundation bearing capacity. Electromechanical impedance (EMI) technique based smart aggregates (SAs) have showed excellent monitoring capability in various engineering applications. However, there are limited reports on the application of EMI based SAs in the monitoring of the soil water content. In this paper, the EMI based spherical SAs (SSAs) were investigated in the monitoring of soil water content. Firstly, the SSAs were designed and fabricated using the monolithic concrete encapsulation method, and their stable performance in air were evaluated, and confirmed by testing and analyzing the impedance spectrum. Then, the fabricated SSAs were immersed in the water environment for 28 d to ensure the stability under the working conditions, such as the soil with high water content and the hydration process of early-age concrete. Secondly, the monitoring experiments of soil water content were carried out based on the SSAs and the traditional SAs using the EMI technique. The measured impedance signatures under different water contents in soil were quantified by three types of statistical indexes, including root mean square deviation, mean absolute percentage deviation, and correlation coefficient deviation. The experimental results show that compared with the traditional SAs, the SSAs are more sensitive and stable to monitor the soil water content. Finally, the effect of temperature on the performance of SSA based on the EMI technique were conducted experimentally. The results demonstrate that temperature has influence on the monitoring results of the SSAs based on the EMI technique.

Structurae cannot make the full text of this publication available at this time. The full text can be accessed through the publisher via the DOI: 10.1088/1361-665x/acd506.
  • About this
    data sheet
  • Reference-ID
    10724808
  • Published on:
    30/05/2023
  • Last updated on:
    30/05/2023
 
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