Wireless laser range finder system for vertical displacement monitoring of mega-trusses during construction

Sensors (Switzerland)

Volumn 13, Issue 5, 2013, Pages 5796-5813

  Seon Park, Hyo ^a   Son, Sewook ^a   Woon Choi, Se ^a   Kim, Yousok ^a  

^a Yonsei University   (South Korea)

Author keywords

Displacement measurement; In construction monitoring; Irregular building; Laser displacement sensor; Mega truss; Structural health monitoring

Indexed keywords

CONSTRUCTION MONITORING; CONSTRUCTION QUALITY; DISPLACEMENT MONITORING; IRREGULAR BUILDINGS; LASER DISPLACEMENT SENSORS; MEGA-TRUSS; VERTICAL DISPLACEMENTS; WIRELESS SENSOR NODE;

BUILDINGS; COMPUTER SIMULATION; DISPLACEMENT MEASUREMENT; MONITORING; SENSOR NODES; SENSORS; STRUCTURAL HEALTH MONITORING; TRUSSES;

CONSTRUCTION;

EID: 84877639586     PISSN: 14248220     EISSN: None     Source Type: Journal    
DOI: 10.3390/s130505796     Document Type: Article

References (39)

1. Hegger, J. High-strength concrete for a 186 m high office building in Frankfurt, Germany. Eng. Struct. 1996, 11, 850-854.
2. Tatsuya, W.; Noriyuki, F.; Yasuo, I.; Takashi, S. Automated construction system for high-rise reinforced concrete buildings. Autom. Constr. 2000, 9, 229-250.
3. Abid, A.; Ribakov, Y. Recent trends in steel fibered high-strength concrete. Mater. Des. 2011, 32, 4122-4151.
4. Ikeda, Y.; Harada, T. Application of the Automated Building Construction System Using the Conventional Construction Method Together. In Proceedings of the 23rd International Symposium on Automation and Robotics in Construction, Tokyo, Japan, 3-5 October 2006.
5. Hu, Z.; Zhang, J. BIM- and 4D-based integrated solution of analysis and management for conflicts and structural safety problems during construction: 2. Development and site trials, Autom. Constr. 2011, 20, 167-180.
6. Zhou, W.; Whyte, J.; Sacks, R. Construction safety and digital design: A review. Autom. Constr. 2012, 22, 102-111.
7. Zhang, S.; Teizer, J.; Lee, J.; Charles, M.E.; Manu, V. Building Information Modeling (BIM) and safety. Automatic safety checking of construction models and schedules. Autom. Constr. 2012, 29, 183-195.
8. Park, H.S.; Lee, H.M.; Adeli, H.; Lee, I. A new approach for health monitoring of structures: Terrestrial laser scanning. Comput. Aided Civil Infrastr. Eng. 2007, 22, 19-30.
9. Lee, H.M.; Park, H.S. Estimation of deformed shape of beam structure using 3D coordinate information from terrestrial laser scanning. Comput. Model. Eng. Sci. 2008, 29, 29-44.
10. Ni, Y.Q.; Li, B.; Lam, K.H.; Zhu, D.; Wang, Y.; Lynch, J.P.; Law, K.H. In-construction vibration monitoring of a super-tall structure using a long-range wireless sensing system. Smart Struct. Syst. 2010, 7, 83-102.
11. Wu, Z.F.; Gao, F. Application and research of steel structure construction monitoring of costa rica state stadium canopy with measurement robot. Energy Procedia 2011, 13, 2794-2801.
12. Xia, Y.; Ni, Y.Q.; Zhang, P.; Liao, W.Y.; Ko, J.M. Stress development of a supertall structure during construction: Field monitoring and numerical analysis. Comput. Aided Civil Infrastr. Eng. 2011, 26, 1-8.
13. Salawu, O.S. Detection of structural damage through changes in frequency: A review. Eng. Struct. 1997, 19, 718-723.
14. Doebling, S.W.; Farrar, C.R.; Prime, M.B.; Shevitz, D.W. Damage Identification and Health Monitoring of Structural and Mechanical Systems from Change in Their Vibration Characteristics: A Literature Review, Technical Report No. LA-13070-MS; Los Alamos National Laboratory: Los Alamos, NM, USA, 1996.
15. Carden, E.P.; Fanning, P. Vibration based condition monitoring. A review. Struct. Health Monit. 2004, 3, 355-377.
16. Maaskant, R.; Alavie, T.; Measures, R.M.; Tadros, G.; Rizkalla, S.H.; Guha-Thakurta, A. Fiber-optic bragg grating sensors for bridge monitoring. Cem. Concr. Composites 1997, 19, 21-33.
17. Coutts, D.R.; Wang, J.; Cai, J.G. Monitoring and analysis of results for two strutted deep excavations using vibrating wire strain gauges. Tunn. Underground Space Technol. 2001, 16, 87-92.
18. 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. 2005,125, 109-113.
19. 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.
20. 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. 2013, 37, 23-29.
21. Nakamura, S. GPS measurement of wind-induced suspension bridge girder displacements. J. Struct. Eng. 2000, 126, 1413-1419.
22. Celebi, M.; Eeri, M.; Sanli, A. GPS in pioneering dynamic monitoring of long-period structures. Earthq. Spcetra 2002, 18, 47-61.
23. Tamurra, Y.; Matsui, M.; Pagnini, L.C.; Ishibashi, R.; Yoshida, A. Measurement of wind-induced response of building using RTK-GPS. J. Wind Eng. Ind. Aerodyn. 2002, 90, 1783-1793.
24. 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 Spec. Build. 2007, 17, 117-132.
25. Breuer, P.; Chmielewski, T.; Gorski, P.; Konopka, E. Application of GPS technology to measurement of displacement of high-rise structures due to weak winds. J. Wind Eng. Ind. Aerodyn. 2002, 90, 223-230.
26. Fraser, C.S.; Riedel, B. Monitoring the thermal deformation of steel beams via vision metrology. J. Photogramm. Remote Sens. 2000, 55, 268-276.
27. Lee, J.-J.; Shinozuka, M. A vision-based system for remote sensing of bridge displacement. NDT E Int. 2006, 39, 425-431.
28. 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.
29. Balendra, T.; Anwar, M.P.; Tey, K.L. Direct measurement of wind-induced displacement in tall building models using laser positioning technique. J. Wind Eng. Ind. Aerodyn. 2005, 93, 399-412.
30. Xu, Y.L.; Zhang, J.; Li, J.C.; Xia, Y. Experimental investigation on statistical moment-based structural damage detection method. Struct. Health Monit. 2009, 8, 555-571.
31. Xu, B.; Song, G.; Masri, S.F. Damage detection for a frame structure model using vibration displacement measurement. Struct. Health Monit. 2012, 11, 192-281.
32. Lynch, J.P.; Loh, K.J. A summary review of wireless sensors and sensor networks for structural health monitoring. Shock Vib. Dig. 2006, 38, 91-128.
33. Shieh, J.; Huber, J.E.; Fleck, N.A.; Ashby, M.F. The selection of sensors. Prog. Mater. Sci. 2001, 46, 461-504.
34. Zhang, F.; Qu, X.; Ouyang, J. An automated inner dimensional measurement system based on a laser displacement sensor for long-stepped pipes. Sensors 2012, 12, 5824-5834.
35. Keyence Global Home. Available online: http://www.keyence.com/ (accessed on 2 May 2013).
36. Viterbi, A.J. CDMA: Principles of Spread Spectrum Communication; Addison-Wesley: Reading, MA, USA, 1995.
37. 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, doi:10.1088/0964-1726/19/5/055004.
38. Midas User Support System. Available online: http://en.midasuser.com/ (accessed on 2 May 2013).
39. Casciati, F.; Domaneschi, M.; Faravelli, L. Design and implementation of a pointer system controller. Nonlinear Dyn. 2004, 36, 203-215.