Structural Health Monitoring of Offshore Structures Using Wireless Sensor Networking under Operational and Environmental Variability
The early-stage damage detection in offshore
structures requires continuous structural health monitoring and for the
large area the position of sensors will also plays an important role in
the efficient damage detection. Determining the dynamic behavior of
offshore structures requires dense deployment of sensors. The wired
Structural Health Monitoring (SHM) systems are highly expensive
and always needs larger installation space to deploy. Wireless sensor
networks can enhance the SHM system by deployment of scalable
sensor network, which consumes lesser space. This paper presents the
results of wireless sensor network based Structural Health Monitoring
method applied to a scaled experimental model of offshore structure
that underwent wave loading. This method determines the
serviceability of the offshore structure which is subjected to various
environment loads. Wired and wireless sensors were installed in the
model and the response of the scaled BLSRP model under wave
loading was recorded. The wireless system discussed in this study is
the Raspberry pi board with Arm V6 processor which is programmed
to transmit the data acquired by the sensor to the server using Wi-Fi
adapter, the data is then hosted in the webpage. The data acquired
from the wireless and wired SHM systems were compared and the
design of the wireless system is verified.
[1] Charles.R.F. and Keith,W. 2007. An Introduction to Structural Health
Monitoring. Phil. Trans. R. Soc. A, 365: 303-315 , doi:
10.1098/rsta.2006.1928
[2] Wang, Y., Kenneth J.L., Jerome P.L., Michael, F., Kincho, L. and
Ahmed, E. 2006. Vibration Monitoring of the Voigt Bridge using Wired
and Wireless Monitoring Systems. The Proceeding of 4th China-Japan-
US Symposium on Structural Control and Monitoring Oct.16-17, 2006.
[3] Daniele, I. and Roberto, W. 2011. Integrated Structural Health
Monitoring System for High-Rise Buildings. First Middle East
Conference on Smart Monitoring, Assessment and Rehabilitation of
civil structures. February 8 - 10, Dubai, UAE.
[4] Mollineaux, M., Konstantinos, B., Kim Branner., Per Nielsen.,
Angelo,T. and Ram, R. 2014. Damage Detection Methods on Wind
Turbine Blade Testing with Wired and Wireless Accelerometer Sensors.
7th European Workshop on Structural Health Monitoring, July 8 - 11,
2014, La Cite, Nantes, France. hal-01022037.
[5] Peng, J., Hongbo, X., Zhiye, H. and Wang, Z. 2009. Design of a Water
Environment Monitoring System Based on Wireless Sensor Networks.
Sensors, 2009: 6411-6434. doi:10.3390/s90806411.
[6] Albaladejo, P.C., Jiménez, M., Soto, F., Torres, R., López, J.A., Iborra,
A. 2011. A System for Monitoring Marine Environments based on
Wireless Sensor Networks. IEEE, doi: 978-1-61284-4577-0088-0/11
[7] Wang, P., Yan, Y., Gui, Y., Omar, B., and Zhiguo, D. 2012.
Investigation of Wireless Sensor Networks for Structural Health
Monitoring. Journal of Sensors, 2012(2012), Article ID 156329.
doi:10.1155/2012/156329.
[8] Nader, C. and Farid, T. 2007. A Damage Index for Structural Health
Monitoring based on the Emprical Mode Decomposition. Journal of
Mechanics and Material Structures, 2(1): 43-61.
[9] Michael, D.T., Jonathan, M.N., Stephen, T.T., Mark, S., Christy, J.N.
and Lawrence, N.V. 2007. Bragg grating-based fibre optic sensors in
structural health monitoring. Philosophical Transactions of The Royal
Society A, 365: 317-343, doi: 10.1098/rsta.2006.1937.
[10] Brownjohn, J.M.W. 2007. Structural Health Monitoring of civil
infrastructure. Philosophical transactions A, 365: 561-587, doi:
10.1098/rsta.2006.1925.
[11] Yan, Y. and Jinping, O. 2008. Wireless sensing experiments for
structural vibration monitoring of offshore platform. Front. Electr.
Electron. Eng., 3(3): 333–337 , doi: 10.1007/s11460-008-0051-1. [12] Tifenn, R., Abdelmadjid, B. and Yacine, C. 2014. Energy efficiency in
wireless sensor networks: A top-down survey. Computer Networks. 67:
104–122
[13] Tomonori, N. and Billie F.S. 2007. Structural Health Monitoring using
Smart Structures. NSEL Report Series Report No. NSEL-001.
[14] Swartz, A., Zimmerman, A., Jerome, P.L., Thomas, F.B., Jesus, R.,
Liming W.S. and Kincho H.L. 2009. Wireless Hull Monitoring Systems
for Modal analysis of operation Naval Vessels. Proceedings of the
International Modal Analysis Conference (IMAC-XXVII) , Orlando,
Florida, February 9 - 12, 2009.
[15] Yingtao, L and Subhadarshi, N. 2012. Structural Health Monitoring:
State of the Art and Perspectives. JOM: the Journal of the Minerals,
Metals & Material Society, 64(7), doi: 10.1007/s11837-012-0370-9.
[16] Srinivasan Chandrasekaran, Jain, A.K. and Seeram madhuri. 2013.
Aerodynamic response of offshore triceratops, Ship and Offshore
structures, 8(2):123-140. doi:10.1080/17445302.691271.
[17] Srinivasan Chandrasekaran. 2015. Advanced Marine Structures, CRC
Press, Florida, USA, ISBN: 978-1498739689.
[18] Srinivasan Chandrasekaran, 2015. Dynamic analysis and design of
offshore structures, Springer India, ISBN: 978-81-322-2276-7.
[1] Charles.R.F. and Keith,W. 2007. An Introduction to Structural Health
Monitoring. Phil. Trans. R. Soc. A, 365: 303-315 , doi:
10.1098/rsta.2006.1928
[2] Wang, Y., Kenneth J.L., Jerome P.L., Michael, F., Kincho, L. and
Ahmed, E. 2006. Vibration Monitoring of the Voigt Bridge using Wired
and Wireless Monitoring Systems. The Proceeding of 4th China-Japan-
US Symposium on Structural Control and Monitoring Oct.16-17, 2006.
[3] Daniele, I. and Roberto, W. 2011. Integrated Structural Health
Monitoring System for High-Rise Buildings. First Middle East
Conference on Smart Monitoring, Assessment and Rehabilitation of
civil structures. February 8 - 10, Dubai, UAE.
[4] Mollineaux, M., Konstantinos, B., Kim Branner., Per Nielsen.,
Angelo,T. and Ram, R. 2014. Damage Detection Methods on Wind
Turbine Blade Testing with Wired and Wireless Accelerometer Sensors.
7th European Workshop on Structural Health Monitoring, July 8 - 11,
2014, La Cite, Nantes, France. hal-01022037.
[5] Peng, J., Hongbo, X., Zhiye, H. and Wang, Z. 2009. Design of a Water
Environment Monitoring System Based on Wireless Sensor Networks.
Sensors, 2009: 6411-6434. doi:10.3390/s90806411.
[6] Albaladejo, P.C., Jiménez, M., Soto, F., Torres, R., López, J.A., Iborra,
A. 2011. A System for Monitoring Marine Environments based on
Wireless Sensor Networks. IEEE, doi: 978-1-61284-4577-0088-0/11
[7] Wang, P., Yan, Y., Gui, Y., Omar, B., and Zhiguo, D. 2012.
Investigation of Wireless Sensor Networks for Structural Health
Monitoring. Journal of Sensors, 2012(2012), Article ID 156329.
doi:10.1155/2012/156329.
[8] Nader, C. and Farid, T. 2007. A Damage Index for Structural Health
Monitoring based on the Emprical Mode Decomposition. Journal of
Mechanics and Material Structures, 2(1): 43-61.
[9] Michael, D.T., Jonathan, M.N., Stephen, T.T., Mark, S., Christy, J.N.
and Lawrence, N.V. 2007. Bragg grating-based fibre optic sensors in
structural health monitoring. Philosophical Transactions of The Royal
Society A, 365: 317-343, doi: 10.1098/rsta.2006.1937.
[10] Brownjohn, J.M.W. 2007. Structural Health Monitoring of civil
infrastructure. Philosophical transactions A, 365: 561-587, doi:
10.1098/rsta.2006.1925.
[11] Yan, Y. and Jinping, O. 2008. Wireless sensing experiments for
structural vibration monitoring of offshore platform. Front. Electr.
Electron. Eng., 3(3): 333–337 , doi: 10.1007/s11460-008-0051-1. [12] Tifenn, R., Abdelmadjid, B. and Yacine, C. 2014. Energy efficiency in
wireless sensor networks: A top-down survey. Computer Networks. 67:
104–122
[13] Tomonori, N. and Billie F.S. 2007. Structural Health Monitoring using
Smart Structures. NSEL Report Series Report No. NSEL-001.
[14] Swartz, A., Zimmerman, A., Jerome, P.L., Thomas, F.B., Jesus, R.,
Liming W.S. and Kincho H.L. 2009. Wireless Hull Monitoring Systems
for Modal analysis of operation Naval Vessels. Proceedings of the
International Modal Analysis Conference (IMAC-XXVII) , Orlando,
Florida, February 9 - 12, 2009.
[15] Yingtao, L and Subhadarshi, N. 2012. Structural Health Monitoring:
State of the Art and Perspectives. JOM: the Journal of the Minerals,
Metals & Material Society, 64(7), doi: 10.1007/s11837-012-0370-9.
[16] Srinivasan Chandrasekaran, Jain, A.K. and Seeram madhuri. 2013.
Aerodynamic response of offshore triceratops, Ship and Offshore
structures, 8(2):123-140. doi:10.1080/17445302.691271.
[17] Srinivasan Chandrasekaran. 2015. Advanced Marine Structures, CRC
Press, Florida, USA, ISBN: 978-1498739689.
[18] Srinivasan Chandrasekaran, 2015. Dynamic analysis and design of
offshore structures, Springer India, ISBN: 978-81-322-2276-7.
@article{"International Journal of Earth, Energy and Environmental Sciences:71788", author = "Srinivasan Chandrasekaran and Thailammai Chithambaram and Shihas A. Khader", title = "Structural Health Monitoring of Offshore Structures Using Wireless Sensor Networking under Operational and Environmental Variability", abstract = "The early-stage damage detection in offshore
structures requires continuous structural health monitoring and for the
large area the position of sensors will also plays an important role in
the efficient damage detection. Determining the dynamic behavior of
offshore structures requires dense deployment of sensors. The wired
Structural Health Monitoring (SHM) systems are highly expensive
and always needs larger installation space to deploy. Wireless sensor
networks can enhance the SHM system by deployment of scalable
sensor network, which consumes lesser space. This paper presents the
results of wireless sensor network based Structural Health Monitoring
method applied to a scaled experimental model of offshore structure
that underwent wave loading. This method determines the
serviceability of the offshore structure which is subjected to various
environment loads. Wired and wireless sensors were installed in the
model and the response of the scaled BLSRP model under wave
loading was recorded. The wireless system discussed in this study is
the Raspberry pi board with Arm V6 processor which is programmed
to transmit the data acquired by the sensor to the server using Wi-Fi
adapter, the data is then hosted in the webpage. The data acquired
from the wireless and wired SHM systems were compared and the
design of the wireless system is verified.", keywords = "Condition assessment, damage detection, structural
health monitoring, structural response, wireless sensor network.", volume = "10", number = "1", pages = "33-7", }
