Abstract—This paper aims at determining dynamic characteristics of cable-stayed bridge by means of an artificial filter bank (AFB) for the purpose of efficient attainment of valid dynamic responses in real-time. The AFB was developed by using a band-pass filter optimizing algorithm and a peak-picking algorithm, and it was embedded into a wireless sensing system. Then a modal testing was performed on a cable-stayed bridge model and its natural frequency was calculated to capture dynamic characteristics. They were evaluated in comparison to responses from wired measurement system and FE analysis results for validation. Finally, the AFB based dynamic wireless measurement system was validated for obtaining effective dynamic (acceleration) responses compressed within the frequency range of interest with technological and economical efficacy.
Index Terms—Artificial filter bank, band-pass filter optimizing algorithm, peak-picking algorithm, construction error, compressive ratio.
The authors are with Department of Civil and Environmental Engineering, Konyang University, 119 Daehangro, Nonsan 320-711, South Korea (e-mail: heo@kyu.ac.kr, jrjeon@kyu.ac.kr).
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Cite: Gwanghee Heo and Joonryong Jeon, "Dynamic Characteristics Estimation of Cable-Stayed Bridge Using Artificial Filter Bank (AFB)," International Journal of Engineering and Technology vol. 7, no. 1, pp. 8-11, 2015.
