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