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      • Damage detection of bridge structures under unknown seismic excitations using support vector machine based on transmissibility function and wavelet packet energy

        Lijun Liu,Jianan Mi,Yixiao Zhang,Ying Lei 국제구조공학회 2021 Smart Structures and Systems, An International Jou Vol.27 No.2

        Since it may be hard to obtain the exact external load in practice, damage identification of bridge structures using only structural responses under unknown seismic excitations is an important but challenging task. Since structural responses are determined by both structural properties and seismic excitation, it is necessary to remove the effects of external excitation and only retain the structural information for structural damage identification. In this paper, a data-driven approach using structural responses only is proposed for structural damage alarming and localization of bridge structures. The transmissibility functions (TF) of structural responses are used to eliminate the influence of unknown seismic excitations. Moreover, the inverse Fourier transform of TFs and wavelet packet transform are used to reduce the influence of frequency bands and to extract the damagesensitive feature, respectively. Based on Support vector machines (SVM), structural responses under ambient excitations are used for training SVM. Then, structural responses under unknown seismic excitations are also processed accordingly and used for damage alarming and localization by the trained SMV. The numerical simulation examples of beam-type bridge and a cablestayed bridge under unknown seismic excitations are studied to illustrate the performance of the proposed approach.

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        Electrochemical enhanced heterogeneous activation of peroxymonosulfate by CoFe2O4 nanoparticles to degrade moxifloxacin

        Meng Zhang,Lili Liu,Jianan Li,Rui Zhan,Zhiping Wang,Haosheng Mi,Yunxiao Zhang 한국공업화학회 2023 Journal of Industrial and Engineering Chemistry Vol.127 No.-

        The catalytic mechanism of CoFe2O4 nanoparticles (NPs) was investigated in the system of electrochemicalenhanced heterogeneous activation of peroxymonosulfate (EC/CoFe2O4/PMS) with moxifloxacin(MOX) as target contaminant. The removal efficiencies of MOX in PMS, CoFe2O4, EC, CoFe2O4/PMS, andEC/CoFe2O4/PMS system were 18.3%, 36.1%, 43.7%, 96.9%, and 98.3%, respectively. Although there wasno synergy effect between EC and heterogeneous catalytic oxidation reaction (HCOR) on MOX removal,the value of apparent rate constant (karc) was much higher in EC/CoFe2O4/PMS system (0.24 min1) comparedwith CoFe2O4/PMS system (0.13 min1). Therefore, EC not only kept the structure of CoFe2O4 NPsstable, but also significantly accelerated the reaction rate of HCOR. Meanwhile, according to electrochemicalimpedance spectra of catalysts synthesized based on ion-substitution strategy and the EC-HCORexperimental results, the decisive role of „Co in PMS activation and the electron transfer between„Co and „Fe were confirmed. The TOC removal efficiency was reached 74.4% as the ratio of PMS toCoFe2O4 NPs being 0.8 mM to 50 mg/L (30 min), and further improved to 87.6% with batch addition(0.25 mM per 30 min) of PMS (120 min, CoFe2O4 = 100 mg/L). The research results could improve theunderstanding of catalytic mechanism of spinel oxide in electrochemical system.

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