4.7 Article

Comprehensive comparison of macro-strain mode and displacement mode based on different sensing technologies

Journal

MECHANICAL SYSTEMS AND SIGNAL PROCESSING
Volume 50-51, Issue -, Pages 563-579

Publisher

ACADEMIC PRESS LTD- ELSEVIER SCIENCE LTD
DOI: 10.1016/j.ymssp.2014.05.011

Keywords

Distributed sensing; Measurement error; Macro-strain mode; Displacement mode; Structural health monitoring

Funding

  1. Study and Application on Internet of Things Technique for Safety Monitoring and emergency support on Urban Road and Rail Traffic Structure Group [2011BAK02B03]
  2. National Climbing Program [BK2010015]
  3. Scientific Research Foundation of Graduate School of Southeast University [YBJJ1201]
  4. Priority Academic Program Development of Jiangsu Higher Education Institutions [CE02-2-01]

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A comprehensive comparison of macro-strain mode and displacement mode obtained from distributed macro-strain sensing and high-density point sensing (such as accelerometers) technologies is presented in this paper. Theoretical derivation reveals that displacement mode shape from accelerometers and modal macro-strain from distributed macro-strain sensors can be converted into each other. However, it is realized that displacement mode shape as global behavior of a structure can still be calculated with high-precision from modal macro-strain considering measurement errors in practical monitoring, whereas modal macro-strain can hardly be accurately achieved from displacement mode shape when signals are corrupted with noise in practical monitoring. Simulation and experiment results show that the calculated displacement mode shapes are very close to the actual ones even if the noise level reaches 5%. Meanwhile, damage index using measured modal macro-strain is still effective when the measurements are corrupted with 5% noise which is reliable for damage detection in practical monitoring. Calculating modal macro-strain from noise-polluted displacement mode shape will cause an unacceptable error if the noise level reaches only 0.5%, which has been verified in the simulation. (C) 2014 Elsevier Ltd. All rights reserved.

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