In this study, a practical and integrative SHM system was developed and applied to a large-scale irregular building under construction, where many challenging issues exist. In the proposed sensor network, customized energy-efficient wireless sensing units (sensor nodes, repeater nodes, and master nodes) were employed and comprehensive communications from the sensor node to the remote monitoring server were conducted through wireless communications. The long-term (13-month) monitoring results recorded from a large number of sensors (75 vibrating wire strain gauges, 10 inclinometers, and three laser displacement sensors) indicated that the construction event exhibiting the largest influence on structural behavior was the removal of bents that were temporarily installed to support the free end of the cantilevered members during their construction. The safety of each member could be confirmed based on the quantitative evaluation of each response. Furthermore, it was also confirmed that the relation between these responses ( i.e., deflection, strain, and inclination) can provide information about the global behavior of structures induced from specific events. Analysis of the measurement results demonstrates the proposed sensor network system is capable of automatic and real-time monitoring and can be applied and utilized for both the safety evaluation and precise implementation of buildings under construction.
References
[1]
Farrar, C.R.; Lieven, N.A. Damage prognosis: The future of structural health monitoring. Philos. Trans. R. Soc. A 2007, 365, 623–632.
[2]
？elebi, M.; Page, R.A.; Safak, E. Monitoring Earthquake Shaking in Buildings to Reduce Loss of Life and Property; US Department of the Interior, US Geological Survey: Reston, VA, USA, 2003.
[3]
Balendra, Y.; Ma, Z.; Tan, C.L. Design of tall residential buildings in Singapore for wind effects. Wind Struct. 2003, 6, 221–248.
[4]
Park, H.S.; Jung, H.S.; Kwon, Y.H.; Seo, J.H. Mathematical models for assessment of the safety of steel beams based on average strains from long gage optic sensors. Sens. Actuators A Phys. 2006, 125, 109–113.
Park, H.S.; Jung, S.M.; Lee, H.M.; Kwon, Y.H.; Seo, J.H. Analytical models for assessment of the safety of multi-span steel beams based on average strains from long gage optic sensors. Sens. Actuators A Phys. 2007, 137, 6–12.
[7]
Lee, H.M.; Park, H.S. Measurement of maximum strain of steel beam structures based on average strains from vibrating wire strain gages. Exp. Technol. 2011, 37, 23–29.
[8]
Xu, B.; Song, G.; Masri, S.F. Damage detection for a frame structure model using vibration displacement measurement. Struct. Health Monit. 2012, 11, 281–292.
[9]
Brand, U.; Herrmann, K. A laser measurement system for the high-precision calibration of displacement transducers. Meas. Sci. Technol. 1996, 7, 911–917.
[10]
Lynch, J.P.; Partridge, A.; Law, K.H.; Kenny, T.W.; Kiremidjian, A.S.; Carryer, E. Design of piezoresistive MEMS-based accelerometer for integration with wireless sensing unit for structural monitoring. J. Aerosp. Eng. 2003, 16, 108–114.
[11]
Salane, H.J.; Baldwin, J.W., Jr.; Duffield, R.C. Dynamics Approach for Monitoring Bridge Deterioration; Transportation Research Record 1981; Transportation Research Board: Washington, DC, USA, 1981; Volume 832, pp. 21–28.
[12]
Park, K.T.; Kim, S.H.; Park, H.S.; Lee, K.W. The determination of bridge displacement using measured acceleration. Eng. Struct. 2005, 27, 371–378.
[13]
Celebi, M.; Sanli, A. GPS in pioneering dynamic monitoring of long-period structures. Earthq. Spectra 2002, 18, 47–61.
[14]
Park, H.S.; Sohn, H.G.; Kim, I.S.; Park, J.H. Application of GPS to monitoring of wind-induced responses of high-rise buildings. Struct. Des. Tall Special Build. 2008, 17, 117–132.
[15]
Park, H.S.; Lee, H.M.; Adeli, H.; Lee, I. A new approach for health monitoring of structures: Terrestrial laser scanning. Comput. Aided Civil Infrastruct. Eng. 2007, 22, 19–30.
[16]
Choi, S.W.; Kim, B.R.; Lee, H.M.; Kim, Y.; Park, H.S. A deformed shape monitoring model for building structures based on a 2D laser scanner. Sensors 2013, 13, 6746–6758.
[17]
Lee, J.J.; Shinozuka, M. A vision-based system for remote sensing of bridge displacement. Ndt E Int. 2006, 39, 425–431.
[18]
Stephen, G.A.; Dagless, E.L.; Taylor, C.A. A visual tracking system for the measurement of dynamic structural displacements. Concurr. Pract. Exp. 1991, 3, 357–366.
[19]
Nassif, H.H.; Gindy, M.; Davis, J. Comparison of laser Doppler vibrometer with contact sensors for monitoring bridge deflection and vibration. Ndt E Int. 2005, 38, 213–218.
[20]
Miyashita, T.; Nagai, M. Vibration-based structural health monitoring for bridges using laser Doppler vibrometers and MEMS-based technologies. Int. J. Steel Struct. 2008, 8, 325–331.
[21]
Glisic, B.; Inaudi, D.; Hoong, K.C.; Lau, J.M. Monitoring of Building Columns during Construction. Proceedings of the 5th Asia Pacific Structural Engineering & Construction Conference (APSEC), Johor Bahru, Malaysia, 26–28 August 2003; pp. 593–606.
[22]
Li, D.S.; Li, H.N.; Ren, L.; Guo, D.S.; Song, G.B. Health Monitoring of a Tall Building during Construction with Fiber Bragg Grating Sensors. Proceedings of the Sensors and Smart Structure Technologies for Civil, Mechanical, and Aerospace System, San Diego, CA, USA, 30 March 2009; Tomizuka, M., Yun, C.B., Giurgiutiu, V., Eds.; Volume 7292, p. 729249.
[23]
Ni, Y.Q.; Xia, Y.; Liao, W.Y.; Ko, J.M. Technology innovation in developing the structural health monitoring system for Guangzhou New TV Tower. Struct. Control Health Monit. 2009, 16, 73–98.
[24]
Chang, P.C.; Flatau, A.; Liu, S.C. Review paper: Health monitoring of civil infrastructure. Struct. Health Monit. 2003, 2, 257–267.
[25]
Al-Jibouri, S.H. Monitoring systems and their effectiveness for project cost control in construction. Int. J. Proj. Manag. 2003, 21, 145–154.
[26]
Jang, W.S.; Healy, W.M.; Skibniewski, M.J. Wireless sensor networks as part of a web-based building environmental monitoring system. Autom. Constr. 2008, 17, 729–736.
[27]
Brownjohn, J.M.W. Structural health monitoring of civil infrastructure. Philos. Trans. R. Soc. A 2007, 365, 589–622.
[28]
Lynch, J.P.; Loh, K.J. A summary review of wireless sensors and sensor networks for structural health monitoring. Shock Vib. Dig. 2006, 38, 91–130.
Majumder, M.; Gangopadhyay, T.K.; Chakraborty, A.K.; Dasgupta, K.; Bhattacharya, D.K. Fibre Bragg gratings in structural health monitoring—Present status and applications. Sens. Actuators Phys. 2008, 147, 150–164.
[32]
Unzu, R.; Nazabal, J.A.; Vargas, G.; Hernandez, R.J.; Fernandez-Valdivielso, C.; Urriza, N.; Galarza, M.; Lopez-Amo, M. Fiber optic and KNX sensors network for remote monitoring a new building cladding system. Autom. Constr. 2013, 30, 9–14.
[33]
Choi, S.W.; Lee, J.; Kim, J.M.; Park, H.S. Design and application of a field sensing system for ground anchors in slopes. Sensors 2013, 13, 3739–3752.
[34]
Neild, S.A.; Williams, M.S.; McFadden, P.D. Development of a vibrating wire strain gauge for measuring small strains in concrete beams. Strain 2005, 41, 3–9.
[35]
Lee, H.M.; Kim, J. M.; Sho, K.; Park, H. S. A wireless vibrating wire sensor node for continuous structural health monitoring. Smart Mater. Struct. 2010, 19, 1–9.
[36]
Geokon Home. Available online: http://www.geokon.com/arc-weldable/ (accessed on 10 July 2013).
[37]
DSTEK Home. Available online: http://www.dstek.biz/ (accessed on 10 July 2013).
[38]
JENOPTIK AG Home. Available online: http://www.jenoptik.com/en_home/ (accessed on 10 July 2013).
