期刊
STRUCTURAL CONTROL & HEALTH MONITORING
卷 20, 期 1, 页码 1-15出版社
JOHN WILEY & SONS LTD
DOI: 10.1002/stc.466
关键词
structural health monitoring; bridge; vibration; Hilbert-Huang transform; empirical mode decomposition
资金
- New York State Energy Research and Development Authority (NYSERDA)
- Center for Advanced Material Processing (CAMP) at Clarkson University
This paper presents the health monitoring of an experimental bridge model using HilbertHuang transform of transient vibration data. The HilbertHuang transform involves decomposition of vibration data into intrinsic mode functions through the process of empirical mode decomposition. The Hilbert transform of intrinsic mode functions yields magnitude and frequency of oscillations as a function of time, which is called the Hilbert spectrum. Marginal Hilbert spectrum is obtained by integration of the Hilbert spectrum over time. A 4?x?1?m single span-bridge instrumented with 10 wireless sensor nodes is used for the study. Three levels of damage are introduced by removing bolts connecting the midspan floor beam with one of the girders. Bridge vertical accelerations are measured as a wheel and axle is gently rolled across its length (called one run) to simulate passing vehicles. The Hilbert spectrum for multiple runs, joint timefrequency analysis for individual runs, marginal Hilbert spectrum, and instantaneous phase were examined for the baseline (healthy) bridge and the three damage cases. The results demonstrate that the method can detect and locate damage under transient vibration loads. Copyright (c) 2011 John Wiley & Sons, Ltd.
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