Smart Structures and Systems

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Survey on robotics and automation technologies for civil infrastructure

  • Myung, Hyun (Department of Civil and Environmental Engineering, KAIST) ;
  • Wang, Yang (School of Civil and Environmental Engineering, Georgia Institute of Technology) ;
  • Kang, Shih-Chung Jessy (Department of Civil Engineering, National Taiwan University) ;
  • Chen, XiaoQi (Department of Mechanical Engineering, University of Canterbury)
  • Received : 2013.12.15
  • Accepted : 2014.05.12
  • Published : 2014.06.25
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Abstract

Over the past several decades, substantial amounts of sensors and sensing systems have been developed for civil infrastructure systems. This special issue focuses on state-of-the-art robotics and automation technologies, including construction automation, robotics, instrumentation, monitoring, inspection, control, and rehabilitation for civil infrastructure. The issue also covers construction informatics supporting sensing, analysis and design activities needed to operate smart and sustainable civil infrastructure. Examples include robotic systems applied to civil infrastructure and equipped with various sensing technologies, such as optical sensors, laser sensors, wireless sensors, multi-sensor fusion, etc. This special issue is published in an effort to disseminate current advances of various robotics and automation technologies for civil infrastructure and built environment.

Keywords

References

  1. Abdulla, A.S.A., Khalil, A.M.A., Shehhi, A., Karki, H. and Fok, S.C. (2010), "Localization of a submersible mobile inspection platform in an oil storage tank", Proceedings of the 7th International Symposium on Mechatronics and its Applications (ISMA).
  2. Akyildiz, I.F., Su, W., Sankarasubramaniam, Y. and Cayirci, E. (2002), "A survey on sensor networks", IEEE Commun. Mag., 40(8), 102-114.
  3. Backes, P.G., Bar-Cohen, Y. and Joffe, B. (1997), "The multifunction automated crawling system (MACS)", Proceedings of the 1997 IEEE International Conference on Robotics and Automation, Albuquerque, New Mexico.
  4. Bao, Y., Wu, F., Zhu, X., Zhang, X. and Li, H. (2012), "A mobile wireless sensor-based structural health monitoring technique", Proceedings of the workshop on civil structural health monitoring, Berlin.
  5. Bodenmann, A., Thornton, B., Ura, T. and Painumgal, U.V. (2009), "Visual mapping of internal pipe walls using sparse features for application on board Autonomous Underwater Vehicles", Proceedings of the OCEANS 2009 - EUROPE.
  6. Brian, E., Jon, M., Dryver, R.H. and Phil, B. (2004), "Robotic systems for homeland security", Proceedings of the SPIE, Nondestructive Detection and Measurement for Homeland Security II, San Diego, CA.
  7. Chang, P.C., Flatau, A. and Liu, S.C. (2003), "Review paper: health monitoring of civil infrastructure", Struct. Health Monit., 2(3), 257-267. https://doi.org/10.1177/1475921703036169
  8. Chen, Y.C., Yang, C.E. and Kang, S.C. (2014), "A lightweight bridge inspection system using a dual-cable suspension mechanism", Automat. Constr., Accepted in April.
  9. Conte, G., Zanoli, S., Perdon, A.M., Tascini, G. and Zingaretti, P. (1996), "Automatic analysis of visual data in submarine pipeline inspection", Proceedings of the MTS/IEEE.OCEANS '96, 3, 1213 -1219.
  10. Farrar, C.R., Sohn, H., Hemez, F.M., Anderson, M.C., Bement, M.T., Cornwell, P.J., Doebling, S.W., Schultze, J.F., Lieven, N. and Robertson, A.N. (2003), Damage Prognosis: Current Status and Future Needs. LA-14051-MS, Los Alamos National Laboratory, Los Alamos, NM.
  11. Glaser, S.D. (2004), "Some real-world applications of wireless sensor nodes", Proceedings of the SPIE, Smart Structures and Materials 2004: Sensors and Smart Structures Technologies for Civil, Mechanical, and Aerospace Systems, San Diego, CA.
  12. Glaser, S.D., Li, H., Wang, M.L., Ou, J. and Lynch, J.P. (2007), "Sensor technology innovation for the advancement of structural health monitoring: a strategic program of US-China research for the next decade", Smart Struct. Syst., 3(2), 221-244. https://doi.org/10.12989/sss.2007.3.2.221
  13. Guo, J., Lee, K.M., Zhu, D. and Wang, Y. (2009), "A flexonic magnetic car for ferro-structural health monitoring", Proceedings of the 2009 ASME Dynamic Systems and Control Conference, Hollywood, CA, USA.
  14. Huston, D.R., Esser, B., Gaida, G., Arms, S.W. and Townsend, C.P. (2001), "Wireless inspection of structures aided by robots", Proceedings of the SPIE, Health Monitoring and Management of Civil Infrastructure Systems, Newport Beach, CA.
  15. Jeon, H., Bang, Y. and Myung, H. (2011), "A paired visual servoing system for 6-DOF displacement measurement of structures", Smart Mat. Struct., 20, 045019. https://doi.org/10.1088/0964-1726/20/4/045019
  16. Jeon, H., Shin, J.U. and Myung, H. (2012), "Incremental displacement estimation of structures using paired structured light," Smart Struct. Syst., 9(3), 273-286. https://doi.org/10.12989/sss.2012.9.3.273
  17. Kahn, J.M., Katz, R.H. and Pister, K.S.J. (1999), "Next century challenges: mobile networking for 'Smart Dust' ", Proceedings of the 5th Annual ACM/IEEE International Conference on Mobile Computing and Networking, Seattle, Washington.
  18. Kim, S., Pakzad, S., Culler, D., Demmel, J., Fenves, G., Glaser, S. and Turon, M. (2007), "Health monitoring of civil infrastructures using wireless sensor networks", Proceedings of the 6th International Conference on Information Processing in Sensor Networks (IPSN '07), Cambridge, MA.
  19. LaMarca, A., Brunette, W., Koizumi, D., Lease, M., Sigurdsson, S.B., Sikorski, K., Fox, D. and Borriello, G. (2002), "Making sensor networks practical with robots", Proceedings of the 1st International Conference on Pervasive Computing, Zurich, Switzerland.
  20. Lee, K.M., Wang, Y., Zhu, D., Guo, J. and Yi, X. (2009), "Flexure-based mechatronic mobile sensors for structure damage detection", Proceedings of the 7th International Workshop on Structural Health Monitoring, Stanford, CA, USA.
  21. Lee, N. and Mita, A. (2012), "Sensor agent robot with servo-accelerometer for structural health monitoring", Proceedings of the SPIE, San Diego.
  22. Lim, R.S., La, H.M., Shan, Z. and Sheng, W. (2011), "Developing a crack inspection robot for bridge maintenance", Proceedings of the IEEE Int. Conf. Robot. Autom., Shanghai.
  23. Lin, T.K., Hung, S.L. and Huang C.S. (2012), "Detection of damage location using a novel substructure-based frequency response function approach with a wireless sensing system", Int. J. Struct. Stab. Dynam., 12(4), 1250029.
  24. Liu, L., Yuan, F.G. and Zhang, F. (2005), "Development of wireless smart sensor for structural health monitoring", Proceedings of the SPIE, Smart Structures and Materials 2005: Sensors and Smart Structures Technologies for Civil, Mechanical, and Aerospace Systems, San Diego, CA.
  25. Lynch, J.P. and Loh, K.J. (2006), "A summary review of wireless sensors and sensor networks for structural health monitoring", Shock Vib. Dig., 38(2), 91-128. https://doi.org/10.1177/0583102406061499
  26. Lynch, J.P., Sundararajan, A., Law, K.H., Kiremidjian, A.S. and Carryer, E. (2004), "Embedding damage detection algorithms in a wireless sensing unit for operational power efficiency", Smart Mater. Struct., 13(4), 800-810. https://doi.org/10.1088/0964-1726/13/4/018
  27. Lynch, J.P., Wang, Y., Loh, K.J., Yi, J.H. and Yun, C.B. (2006), "Performance monitoring of the Geumdang Bridge using a dense network of high-resolution wireless sensors", Smart Mater. Struct., 15(6), 1561-1575. https://doi.org/10.1088/0964-1726/15/6/008
  28. Mori, M. and Hirose, S. (2006), "Locomotion of 3D snake-like robots; shifting and rolling control of active cord mechanism ACM-R3", J. Robot. Mechatron., 18, 521-528. https://doi.org/10.20965/jrm.2006.p0521
  29. Myung, H., Jeon, H., Bang, Y.S. and Wang, Y. (2014), "Robotic sensing for assessing and monitoring civil infrastructures", Sensor Technologies for Civil Infrastructures, (Eds., Wang, M.L., Lynch, J.P. and Sohn, H. ), 410-445, Woodhead Publishing Limited.
  30. Myung, H., Lee, S. and Lee, B.J. (2011), "Paired structured light for structural health monitoring robot system", Int. J. Struct. Health Monit., 10(1), 49-64. https://doi.org/10.1177/1475921710365413
  31. Nagayama, T. and Spencer, B.F., Jr. (2007), Structural Health Monitoring using Smart Sensors. NSEL-001, Newmark Structural Engineering Laboratory, University of Illinois at Urbana-Champaign, Urbana, IL.
  32. Nayyerloo, M., Chase, J.G., Millane, A., Muller, C., Malherbe, A., Chen, X.Q. and MacRae, G.A (2011), "Seismic structural displacement measurement using a line-scan camera: camera-pattern calibration and experimental validation", J. Civil Struct. Health Monit., 1, 113-124. https://doi.org/10.1007/s13349-011-0012-x
  33. Pakzad, S.N. (2010), "Development and deployment of large scale wireless sensor network on a long-span bridge", Smart Struct. Syst., 6(5), 525-544. https://doi.org/10.12989/sss.2010.6.5_6.525
  34. Pratt, K.S., Murphy, R.R., Burke, J.L., Craighead, J., Griffin, C. and Stover, S. (2008), "Use of tethered small unmanned aerial system at Berkman Plaza II collapse", Proceedings of the IEEE International Workshop on Safety, Security and Rescue Robotics (SSRR 2008).
  35. Rice, J.A., Mechitov, K., Sim, S.H., Nagayama, T., Jang, S., Kim, R., B.F. Spencer, Jr., Agha, G. and Fujino, Y. (2010), "Flexible smart sensor framework for autonomous structural health monitoring", Smart Struct. Syst., 6(5), 423-438. https://doi.org/10.12989/sss.2010.6.5_6.423
  36. Rowe, A., Berges, M.E., Bhatia, G., Goldman, E., Rajkumar, R., Garrett, J.H., Moura, J.M.F. and Soibelman, L. (2011), "Sensor Andrew: large-scale campus-wide sensing and actuation", IBM J. Res. Develop., 55(1-2), 6:1-6:14.
  37. Shin, J.U., Kim, D., Kim, J.H. and Myung, H. (2013), "Micro aerial vehicle type wall-climbing robot mechanism", Proceedings of the IEEE RO-MAN(IEEE International Symposium on Robot and Human Interactive Communication), Gyeongju, Korea.
  38. Shinozuka, M., Feng, M.Q., Chou, P., Chen, Y. and Park, C. (2004), "MEMS-based wireless real-time health monitoring of bridges", Proceedings of the 3rd International Conference on Earthquake Engineering, Nanjing, China.
  39. Sohn, H., Farrar, C.R., Hemez, F.M., Shunk, D.D., Stinemates, D.W. and Nadler, B.R. (2004), A Review of Structural Health Monitoring Literature: 1996-2001. LA-13976-MS, Los Alamos National Laboratory, Los Alamos, NM.
  40. Spencer, B.F., Jr., Ruiz-Sandoval, M.E. and Kurata, N. (2004), "Smart sensing technology: opportunities and challenges", Struct. Control Health. Monit., 11(4), 349-368. https://doi.org/10.1002/stc.48
  41. Straser, E.G. and Kiremidjian, A.S. (1998), A modular, wireless damage monitoring system for structures, Technical Report 128, John A. Blume Earthquake Eng. Ctr., Stanford University, Stanford, CA.
  42. Su, Y.S., Kang, S.C., Chang, J.R. and Hsieh, S.H. (2013), "Dual-light inspection method for automatic pavement surveys", J. Comput. Civil Eng., 27(5), 534-543. https://doi.org/10.1061/(ASCE)CP.1943-5487.0000236
  43. Todd, M., Mascarenas, D., Flynn, E., Rosing, T., Lee, B., Musiani, D., Dasgupta, S., Kpotufe, S., Hsu, D., Gupta, R., Park, G., Overly, T., Nothnagel, M. and Farrar, C. (2007), "A different approach to sensor networking for SHM: remote powering and interrogation with unmanned aerial vehicles", Proceedings of the 6th International Workshop on Structural Health Monitoring (IWSHM), Stanford, CA.
  44. Wang, Y., Lynch, J.P. and Law, K.H. (2005), "Wireless structural sensors using reliable communication protocols for data acquisition and interrogation", Proceedings of the 23rd International Modal Analysis Conference (IMAC XXIII), Orlando, FL.
  45. Xu, F.Y., Wang, X.S. and Wang, L. (2011), "Cable inspection robot for cable-stayed bridges: design, analysis, and application", J. Field Robot., 28(3), 441-459. https://doi.org/10.1002/rob.20390
  46. Zhang, H., Wang, W., Gonzalez-Gomez, J. and Zhang, J. (2010), A bio-inspired small-sized wall-climbing caterpillar robot, Mechatronic Systems Applications, (Eds., Paola, A.M.D.D. and Cicirelli, G.).
  47. Zhang, Y. and Li, J. (2006), "Wavelet-based vibration sensor data compression technique for civil Infrastructure condition monitoring", J. Comput. Civil Eng., 20(6), 390-399. https://doi.org/10.1061/(ASCE)0887-3801(2006)20:6(390)
  48. Zhu, D., Guo, J., Cho, C., Wang, Y. and Lee, K.M. (2012), "Wireless mobile sensor network for the system identification of a space frame bridge", IEEE-ASME T. Mech., 17(3), 499-507. https://doi.org/10.1109/TMECH.2012.2187915
  49. Zhu, D., Yi, X., Wang, Y., Lee, K.M. and Guo, J. (2010), "A mobile sensing system for structural health monitoring: design and validation", Smart Mater. Struct., 19(5), 055011. https://doi.org/10.1088/0964-1726/19/5/055011
  50. Zimmerman, A.T., Shiraishi, M., Swartz, R.A. and Lynch, J.P. (2008), "Automated modal parameter estimation by parallel processing within wireless monitoring systems", J. Infrastruct. Syst., 14(1), 102-113. https://doi.org/10.1061/(ASCE)1076-0342(2008)14:1(102)

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