TY - GEN
T1 - Toward integrating Structural Health Monitoring with Internet of Things (IoT)
AU - Myers, Alex
AU - Mahmud, Md Anam
AU - Abdelgawad, Ahmed
AU - Yelamarthi, Kumar
N1 - Publisher Copyright:
© 2016 IEEE.
PY - 2016/8/5
Y1 - 2016/8/5
N2 - Most of the existing Structural Health Monitoring (SHM) systems are vulnerable to environmental and operational damages. Yet, majority of these systems cannot detect the size and location of the damage. Guided wave techniques are widely used to detect damage in structures due to its sensitivity to different changes in the structure. Finding a mathematical model for such system will help to implement a reliable and efficient low-cost SHM system. Moreover, it can lead to integrate the SHM with the Internet of Things (IoT) for rapid response, off-loading computational power, store data, and and remotely monitoring. In this paper, a mathematical model is proposed to detect the size and location of damages in physical structures using piezoelectric sensor. The proposed model combines both pitch-catch and pulse-echo techniques, and has been verified through out simulations using ABAQUS/Explicit finite element software.
AB - Most of the existing Structural Health Monitoring (SHM) systems are vulnerable to environmental and operational damages. Yet, majority of these systems cannot detect the size and location of the damage. Guided wave techniques are widely used to detect damage in structures due to its sensitivity to different changes in the structure. Finding a mathematical model for such system will help to implement a reliable and efficient low-cost SHM system. Moreover, it can lead to integrate the SHM with the Internet of Things (IoT) for rapid response, off-loading computational power, store data, and and remotely monitoring. In this paper, a mathematical model is proposed to detect the size and location of damages in physical structures using piezoelectric sensor. The proposed model combines both pitch-catch and pulse-echo techniques, and has been verified through out simulations using ABAQUS/Explicit finite element software.
KW - Internet of Things (IoT)
KW - SHM
KW - finite element simulation
KW - piezoelectric sensor
KW - pitch catch
KW - pulse-echo
UR - http://www.scopus.com/inward/record.url?scp=84984652733&partnerID=8YFLogxK
U2 - 10.1109/EIT.2016.7535280
DO - 10.1109/EIT.2016.7535280
M3 - Conference contribution
AN - SCOPUS:84984652733
T3 - IEEE International Conference on Electro Information Technology
SP - 438
EP - 441
BT - 2016 IEEE International Conference on Electro Information Technology, EIT 2016
PB - IEEE Computer Society
T2 - 2016 IEEE International Conference on Electro Information Technology, EIT 2016
Y2 - 19 May 2016 through 21 May 2016
ER -