Abstract
This project studies a wireless patch antenna as a novel strain/crack sensing technique for structural health monitoring (SHM). The strain/crack-induced resonance frequency shift of the antenna can be wirelessly detected and utilized to estimate the surface strain and crack propagation. However, temperature fluctuation can generate some unwanted changes in resonance frequency and introduce significant noises in measurement. This project studies a thermally stable patch antenna sensor through both numerical simulations and laboratory experiments. Using a substrate material with a steady dielectric constant, a patch antenna sensor is designed to perform reliably under temperature fluctuations. In addition, a dual-mode patch antenna sensor is designed to achieve long interrogation distance. Various types of materials used in substrate are investigated through laboratory tests. Strain/crack sensing performance has been validated through multi-physics simulations and experiments. The patch antenna sensors are demonstrated to be effective in wireless strain/crack measurements and have potential for large-scale monitoring of structures.
Recommended Citation
Wang, Yang and Lin, Dan, "Battery-Free Antenna Sensors for Strain and Crack Monitoring -- Technical Report (2017-2020)" (2020). Project SN-2. 3.
https://scholarsmine.mst.edu/project_sn-2/3
Research Center/Lab(s)
INSPIRE - University Transportation Center
Funder(s)
Financial support for this INSPIRE UTC project was provided by the U.S. Department of Transportation, Office of the Assistant Secretary for Research and Technology (USDOT/OST-R) under Grant No. 69A3551747126 through INSPIRE University Transportation Center (http://inspire-utc.mst.edu) at Missouri University of Science and Technology.
Grant Number
USDOT #69A3551747126
Keywords and Phrases
Patch antenna sensor; Thermal stability; Strain; Crack; Wireless sensing; RFID
Report Number
INSPIRE-001
Document Type
Technical Report
Document Version
Final Version
File Type
text
Language(s)
English
Publication Date
31 Mar 2020
Comments
Principal Investigator: Yang Wang, Ph.D.
Grant Period: 30 Nov 2016 - 30 Sep 2022
Project Period: 01 Mar 2017 - 31 Mar 2020