BOTDA road-embedded strain sensing system for landslide boundary localization

Michael Iten; Alexander M. Puzrin

doi:10.1117/12.815266

7 April 2009 BOTDA road-embedded strain sensing system for landslide boundary localization

Michael Iten, Alexander M. Puzrin

Proceedings Volume 7293, Smart Sensor Phenomena, Technology, Networks, and Systems 2009; 729316 (2009) https://doi.org/10.1117/12.815266
Event: SPIE Smart Structures and Materials + Nondestructive Evaluation and Health Monitoring, 2009, San Diego, California, United States

Abstract

The determination and monitoring of landslide boundaries is essential for analysis of creeping landslides. A novel landslide boundary localization technique has been recently proposed and tested on two large creeping landslides in an urban area. The technique uses asphalt road-embedded distributed fiber optic sensors. This paper deals with the issue of interpretation of the monitoring records. It has been shown that an improved protection of the cable increases the measurement strain range, but leads to non-linear strain-frequency response. Two methods of strain data interpretation have been analyzed: the truncated average method (TAM) and the convolution product (CP). Advantage of the TAM is in its simplicity; disadvantage is that the amount of the valid sampling points is significantly reduced, especially when the fixed strain section lengths are close to the spatial resolution. The alternative CP method uses all sampling points in the vicinity of the fixation point, but is rather complex, especially considering that a proper interpretation of the measured data can be only achieved using a weighting function with parameters dependent on the strain step at the fixation point. Further signal processing and data interpretation models should be encouraged to improve system accuracy.

Citation Download Citation

Michael Iten and Alexander M. Puzrin "BOTDA road-embedded strain sensing system for landslide boundary localization", Proc. SPIE 7293, Smart Sensor Phenomena, Technology, Networks, and Systems 2009, 729316 (7 April 2009); https://doi.org/10.1117/12.815266

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