4.7 Article

Real-time dynamic displacement monitoring with double integration of acceleration based on recursive least squares method

期刊

MEASUREMENT
卷 141, 期 -, 页码 460-471

出版社

ELSEVIER SCI LTD
DOI: 10.1016/j.measurement.2019.04.053

关键词

Integration; Acceleration; Recursive least squares; High-pass filter; Real-time displacement monitoring

资金

  1. National key R&D Program of China [2017YFF0205605]
  2. Opening Foundation of National Key Laboratory of Bridge Structural Health and Safety
  3. National Nature Science Foundation of China [5187849]
  4. Shanghai Urban Construction Design Research Institute Project 'Big Data Acquisition Technology and Structure Monitoring System Research for Bridge Safe Operation'
  5. Ministry of Transport Construction Science and Technology Project 'Medium-Small Span Bridge Structure Network Level Safety Monitoring and Evaluation'

向作者/读者索取更多资源

Due to the difficulty of establishing fixed reference points, it is difficult to monitor displacement of a civil engineering structure in the field for long term. Although to integrate acceleration signals numerically is a common and low-cost displacement measurement method, the schemes proposed in the field of seismology are not suitable for long-term structural monitoring environment because of batch calculations of existing algorithms. In this paper, combining a baseline correction technique based on recursive least squares, a recursive high-pass filter and a recursive integrator, through multi-round baseline correction, filtering and integration, the authors develop an online and real-time acceleration integral scheme. This scheme is then applied to a numerical simulation case and a shaking table test, where the accuracy and reliability are proved. Finally, the applicability of the scheme in real monitoring environment is confirmed through utilizing it to monitor displacement of a real bridge. (C) 2019 Published by Elsevier Ltd.

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