Damage Assessment Methodology for Nonstructural Components with Inspection Robot

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This paper proposes a damage assessment methodology for the non-structural elements, especially ceiling elements of a building, utilizing an inspection robot. The developed inspection robot equipped with a wireless camera and data processing function has a capability of providing valuable information for the repair and maintenance decision making of a damaged structure. The inspection robots will be able to estimate the damage condition without any process of engineers on-site-inspection involved. The robots also can gather the static data of the nonstructural elements from the sensor, which are distributed on the nonstructural elements. To demonstrate the effectiveness of the inspection robot, the robot is utilized to estimate the ceiling of a real structure damaged by the 2011 off the Pacific coast of Tohoku Earthquake. And conceptual experiment is also conducted for the purpose of evaluating the proposed damage assessment methodology in cooperation with the smart sensor and the inspection robot. The proposed methodology will provide useful information to the maintenance and repair planning of a damaged structure.

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297-304

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June 2013

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© 2013 Trans Tech Publications Ltd. All Rights Reserved

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[1] S. Cho, C-B. Yun, J.P. Lynch, A.T. Zimmerman, B.F. Spencer Jr. and T. Nagayama, Smart Wireless Technology for Structural Health Monitoring of Civil Structures, Steel Structures, 8, pp.267-275 (2008)

Google Scholar

[2] S-C. Liu, M. Tomizuka and G. Ulsoy, Strategic Issues in Sensors and Smart Structures, Structural Control and Health Monitoring, 13(6), pp.946-956 (2006)

DOI: 10.1002/stc.88

Google Scholar

[3] B.F. Spencer Jr, M.E. Ruiz-Sandoval and N. Kurata, Smart Sensing Technology Opportunities and Challenges, Structural Control and Health Monitoring, 11(4), pp.349-368 (2004)

DOI: 10.1002/stc.48

Google Scholar

[4] J.R. Dove, G. Park and C.R. Farrar, Hardware Design of Hierarchal Active-Sensing Networks for Structural Health Monitoring Smart Materials and Structures, 15, pp.139-146 (2006)

DOI: 10.1088/0964-1726/15/1/042

Google Scholar

[5] J.P. Lynch, Y. Wang, K.J. Loh, J-H. Yi and C-B. Yun, Performance Monitoring of the Geumdang Bridge Using a Dense Network of High-Resolution Wireless Sensors, Smart Materials and Structures, 15, pp.1561-1575 (2006)

DOI: 10.1088/0964-1726/15/6/008

Google Scholar

[6] K. Ishikawa, and A. Mita, Time Synchronization of a Wired Sensor Network for Structural Health Monitoring, Smart Materials and Structures, 17, pp.1-6 (2008)

DOI: 10.1088/0964-1726/17/01/015016

Google Scholar

[7] C. Kappor, T.L. Graves-Abe and J-S. Pei, Development of a Smart Wireless Sensing Unit Using Off-the-Shelf FPGA Hardware and Programming Products, Smart Structures and Systems, 3(1), pp.69-88 (2007)

DOI: 10.12989/sss.2007.3.1.069

Google Scholar

[8] R.R. Murphy, K.L. Dreger, S.Newsom, J.Odocker, E.Steimle,T. Kimura, K.Makabe, F.Matsuno , S.Tadakoro and K.Kon, Use of Remotely Operated Marine Vehicles at Minamisanriku and Rikuzentakata Japan for Disaster Recovery, Proc. of the 2011 IEEE International Symposium on Safety, Security and Rescue Robotics, 19-25 (2011)

DOI: 10.1109/ssrr.2011.6106798

Google Scholar

[9] D.R. Huston, J.Miller and B.Esser, Adaptive, Robotic, and Mobile Sensor Systems for Structural Assessment, Proc. of SPIE 5391, CD-ROM (2004)

Google Scholar

[10] T.Harada, and K.Yokoyama, Development of bridge inspection system by using wireless network technologies, Proc. of the 4th International Workshop on Advanced Smart Materials and Smart Structures Technology, 221-226 (2008)

Google Scholar

[11] D.Mascarenas, E.Flynn, M.Todd, G.Park, and C.Farrar, Wireless sensor technologies for monitoring civil structures, Sound and Vibration, 42(4), 16-20 (2008)

Google Scholar

[12] S.G. Taylor, K.M. Farinholt, E.B. Flynn, E.Figueiredo, D.L. Mascarenas, E.A. Moro, G.Park, M.D. Todd, and C.R. Farrar, A mobile-agent Based Wireless Using Sensing Network for Structural Health Monitoring Application, Materials Forum,33, 1-13 (2009)

DOI: 10.1088/0957-0233/20/4/045201

Google Scholar

[13] D.Zhu, Q.Qi , Y.Wang,J-M. Lee, and S.Foong, A prototype mobile sensor network for structural health monitoring, Proc. of SPIE 7294, CD-ROM (2009)

Google Scholar

[14] D.Zhu, X.Yi, Y.Wang and K.Sabra., Structural damage detection through cross correlation analysis of mobile sensing data, Proc. of the 5th World Conference on Structural Control and Monitoring, USB, (2010)

Google Scholar

[15] D.Zhu, X.Yi, Y.Wang, K-M. Lee and J.Guo, A mobile sensing system for structural health monitoring: design and validation, Smart Materials and Structures, 19(5), 1-16 (2010)

DOI: 10.1088/0964-1726/19/5/055011

Google Scholar