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A Practical Data Recovery Technique for Long-Term Strain Monitoring of Mega Columns during Construction
Department of Architectural Engineering, Yonsei University, Seoul 110-732, Korea
* Author to whom correspondence should be addressed.
Received: 31 May 2013; in revised form: 12 August 2013 / Accepted: 16 August 2013 / Published: 19 August 2013
Abstract: A practical data recovery method is proposed for the strain data lost during the safety monitoring of mega columns. The analytical relations among the measured strains are derived to recover the data lost due to unexpected errors in long-term measurement during construction. The proposed technique is applied to recovery of axial strain data of a mega column in an irregular building structure during construction. The axial strain monitoring using the wireless strain sensing system was carried out for one year and five months between 23 July 2010 and 22 February 2012. During the long-term strain sensing, three different types of measurement errors occurred. Using the recovery technique, the strain data that could not be measured at different intervals in the measurement were successfully recovered. It is confirmed that the problems that may occur during long-term wireless strain sensing of mega columns during construction could be resolved through the proposed recovery method.
Keywords: strain sensing; wireless sensor system; vibrating wire strain gages; structural health monitoring
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Cite This Article
MDPI and ACS Style
Choi, S.W.; Kwon, E.; Kim, Y.; Hong, K.; Park, H.S. A Practical Data Recovery Technique for Long-Term Strain Monitoring of Mega Columns during Construction. Sensors 2013, 13, 10931-10943.
Choi SW, Kwon E, Kim Y, Hong K, Park HS. A Practical Data Recovery Technique for Long-Term Strain Monitoring of Mega Columns during Construction. Sensors. 2013; 13(8):10931-10943.
Choi, Se W.; Kwon, EunMi; Kim, Yousok; Hong, Kappyo; Park, Hyo S. 2013. "A Practical Data Recovery Technique for Long-Term Strain Monitoring of Mega Columns during Construction." Sensors 13, no. 8: 10931-10943.