CNT Based Nanocomposite Strain Sensor for Structural Health Monitoring

Author(s):  
A K Singh
2015 ◽  
Vol 2015 ◽  
pp. 1-13 ◽  
Author(s):  
Chengyin Liu ◽  
Jun Teng ◽  
Ning Wu

Structural strain under external environmental loads is one of the main monitoring parameters in structural health monitoring or dynamic tests. This paper presents a wireless strain sensor network (WSSN) design for monitoring structural dynamic strain field. A precision strain sensor board is developed and integrated with the IRIS mote hardware/software platform for multichannel strain gauge signal conditioning and wireless monitoring. Measurement results confirm the sensor’s functionality regarding its static and dynamic characterization. Furthermore, in order to verify the functionality of the designed wireless strain sensor for dynamic strain monitoring, a cluster-star network evaluation system is developed for strain modal testing on an experimental steel truss structure. Test results show very good agreement with the finite element (FE) simulations. This paper demonstrates the feasibility of the proposed WSSN for large structural dynamic strain monitoring.


Proceedings ◽  
2019 ◽  
Vol 42 (1) ◽  
pp. 41
Author(s):  
Jiayue Shen ◽  
Minghao Geng ◽  
Abby Schultz ◽  
Weiru Chen ◽  
Hao Qiu ◽  
...  

Crack initiation and propagation vary the mechanical properties of the asphalt pavement and further alter its designate function. As such, this paper describes a numerical study of a multi-layered strain sensor for the structural health monitoring (SHM) of asphalt pavement. The core of the sensor is an H-shaped Araldite GY-6010 epoxy-based structure with a set of polyvinylidene difluoride (PVDF) piezoelectric transducers in its center beam, which serve as a sensing unit, and a polyurethane foam layer at its external surface which serves as a thermal insulation layer. Sensors are coated with a thin layer of urethane casting resin to prevent the sensor from being corroded by moisture. As a proof-of-concept study, a numerical model is created in COMSOL Multiphysics to simulate the sensor-pavement interaction, in order to design the strain sensor for SHM of asphalt pavement. The results reveal that the optimum thickness of the middle polyurethane foam is 11 mm, with a ratio of the center beam/wing length of 3.2. The simulated results not only validate the feasibility of using the strain sensor for SHM (traffic load monitoring and damage detection), but also to optimize design geometry to increase the sensor sensitivity.


2017 ◽  
Vol 123 (5) ◽  
Author(s):  
Minh Quyen Le ◽  
Florent Ganet ◽  
David Audigier ◽  
Jean-Fabien Capsal ◽  
Pierre-Jean Cottinet

2013 ◽  
Vol 11 (5) ◽  
pp. 477-496 ◽  
Author(s):  
Hongki Jo ◽  
Jong-Woong Park ◽  
B.F. Jr. Spencer ◽  
Hyung-Jo Jung

2003 ◽  
Author(s):  
K. Kesavan ◽  
K. Ravisankar ◽  
T. Narayanan ◽  
S. Parivallal ◽  
P. Sreeshylam ◽  
...  

2015 ◽  
Vol 15 (11) ◽  
pp. 6542-6548 ◽  
Author(s):  
Hung Cao ◽  
Shreyas K. Thakar ◽  
Matthew Lee Oseng ◽  
Cuong M. Nguyen ◽  
Chokri Jebali ◽  
...  

ACS Omega ◽  
2020 ◽  
Vol 5 (22) ◽  
pp. 12682-12691
Author(s):  
Vetrivel Sankar ◽  
Ashwin Nambi ◽  
Vivek Nagendra Bhat ◽  
Debadatta Sethy ◽  
Krishnan Balasubramaniam ◽  
...  

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