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A decoupled algorithm for cable parameter identification by frequency-ratio-offset
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AI
DOI：10.1111/mice.12980.png)
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Abstract
En 中文
This paper proposes a frequency-ratio-offset (FRO)-based parameter identification algorithm for real bridge cables. By introducing specific time and space scaling factors, the dynamic equation is fully nondimensionalized and reduced to a most concise form, independent of all distributed cable parameters. As a result, the frequency equation has only two variables, which can be easily solved to obtain the universal dimensionless frequency-length curve under specified boundary conditions. Based on these curves, a decoupled identification algorithm is constructed, using the newly defined FRO as a bridge to directly connect the dimensionless beam and its real-world counterpart. The algorithm enables a simultaneous determination of any two of the three cable parameters using a pair of measured frequencies. Examples involving both laboratory tests and real-life applications demonstrate the effectiveness and accuracy of the algorithm. Based on a statistical analysis of the fitness of dozens of predicted and measured frequencies, a guideline for frequency selection is suggested, and the influence of measurement error on the identification results is discussed. The proposed algorithm could become a convenient tool for engineers to efficiently identify multiple parameters (e.g., tension and bending stiffness) for a broad class of bridge cables.
Keywords:
EMPIRICAL WAVELET TRANSFORM
SYSTEM-IDENTIFICATION
NATURAL FREQUENCIES
TENSION FORCE
AXIAL FORCE
VIBRATION
MODEL
METHODOLOGY
FORMULATION
MUSIC
Journal
C
IF:
9.1
Papers:
2.0K
Citations:
10.0K