Plastic Optical Fibre Sensor For Crack Detection, Strain Sensing And Wireless Flood Monitoring  
 

Prof ST Quek (Department of Civil Engineering)

 
 
Figure 1: Photographs showing the use of 3 POF sensors arranged in parallel to monitor crack propagation in a concrete beam specimen.

 
 
a recent research project, supported by the NUS Faculty Research Council, plastic optical fibre (POF) sensors based on polymethyl-methacrylate (PMMA) resin and fluorinated polymer have been developed and used in a number of structural health monitoring

applications. In addition, these inexpensive and versatile sensors have been applied successfully to detect rising liquid levels, leading to the development of a wireless water level detection system suitable for monitoring flood-prone areas. POF, which is commonly used for local data networking applications, offers an attractive alternative to conventional electrical-based sensors. Firstly, being non-conducting, POFs are immune to electromagnetic interference and therefore more reliable, especially during lightning storms. Secondly, POFs do not rust nor easily fracture and this resilience makes them suitable for use in harsh environments. Thirdly, POFs are cheap and can be economically deployed in large numbers.

As damage sensors, these fibres can be attached to sections of a concrete structure prone to cracks. The earlier detection of cracks on rebar concretes and subsequent remedial actions can prevent moisture and chlorides absorption, which leads to corrosion and more severe cracking of these load-bearing structures. In this research, several sensitized POFs were bonded to the surface of concrete beams to detect and monitor the crack propagation of the host structure under load. It has been found that these fibres are sufficiently sensitive to successfully detect the initiation and propagation of a hairline transverse crack (see Figure 1).

In another application, a novel POF sensor was developed for monitoring structural vibration and sensing of very high strain. The developed signal detection system monitors the light intensity emanating from the POF sensor and shows potential for detecting vibration frequencies up to 1 kHz. Using standard frequency spectrum analysis, such as the fast-Fourier transform, it has been found that the POF sensor is capable of detecting multi-mode vibration, comparing well with other reference sensors such as piezofilms and optical fibre Bragg grating sensors. In addition, the POF sensor has also been tested and found to be capable of measuring very high strain in applications and materials where large deformations are expected. Measuring strain levels of up to 50% is possible using the intensity-based POF sensor with an error of up to 2%. In other applications where better strain sensitivity is required, a liquid medium could be introduced within the cavity of the sensor to obtain resolution of 50 microstrain. Due to the simplicity in design and cost-effectiveness, the POF sensor offers an attractive option for structural health monitoring applications.

In view of the liquid level detection capability of the POF sensor, a novel wireless flood monitoring system has been developed, arguably the first of its kind in the market. By tailoring the design, the sensor integrates seamlessly with a generic wireless network system, rendering the device small, highly portable and energy-efficient. A flood monitoring simulation has been successfully carried out in a 24m x10m x 0.9m wave basin (see Figure 2) where four of these wireless POF sensors were used to detect the rising water level in the basin, highlighting the potential of the system for real flood monitoring applications.

This work was done in collaboration with research fellow Dr KSC Kuang.


  Figure 2: Photograph showing the wave basin for the simulated flooding test. The blue circles denote the locations of the wireless POF sensor and base station.  


Professor Quek Ser Tong works on the application of smart materials technology to structural engineering and health monitoring, protective structures as well as stochastic mechanics and reliability. He currently teaches courses in structural analysis, reliability, dynamics, finite element methods and numerical methods in engineering mechanics. He is also Director (Research) of the Minerals, Metals and Materials Technology Centre. The photo shows Prof Quek Ser Tong (far left) and Dr Kevin SC Kuang (left) with their commercialized hands-on kit which allows students to learn optical fibre sensor technology.

Email: cveqst @nus.edu.sg

 
 


Engineering Research · Research Developments
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