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        Damage detection of bridge structures under moving loads based on CEEMD and PSD sensitivity analysis

        Youliang Fang,Jie Xing,Xueting Liu,Danyang Liu,Ying Zhang 대한기계학회 2023 JOURNAL OF MECHANICAL SCIENCE AND TECHNOLOGY Vol.37 No.7

        This study proposes a new damage identification method based on a combination of complete ensemble empirical mode decomposition (CEEMD) and power spectrum density (PSD) sensitivity analysis to analyze the acceleration signals of bridge structures under moving loads and achieve damage detection of bridge structures. This paper has achieved the ability to accurately identify the location of cracks and the extent of the damage along a girder with only one acceleration sensor arrangement. The measured data is processed by the CEEMD method. The damage location is revealed by directly examining the first-order intrinsic mode function corresponding to the highest-order pseudo-frequency component, which presents an abrupt change at the damage location. Secondly, after determining the damage location of the bridge, only the power spectrum sensitivity analysis of the crack parameters at the damage location is required to obtain the damage level, avoiding the need to blindly solve the power spectrum for all elements. Finally, the identification method is validated by considering environmental noise, damage locations, and crack depths. The numerical simulation results and experiments for various working conditions show that the method adopted in this paper has good identification capability in identifying cracks in bridge structures.

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        PbGLR3.3 Regulates Pollen Tube Growth in the Mediation of Ca2+ Influx in Pyrus bretschneideri

        Musana Rwalinda Fabrice, Yinghui Jing,Peng Wang; Juyou Wu,Xueting Jiang; Changlong Xiong; Xing Liu; Jianqing Chen; Huijun Jiao 한국식물학회 2018 Journal of Plant Biology Vol.61 No.4

        Glutamate receptors (GluRs) are sensors ofextracellular signals; they play important roles in the regulationof multiple physiological and developmental processes ineukaryotes. However, their functional roles in fruit trees arelargely unknown. Here, based on the pear genome database,which was established in this lab, we identified 34 PbGLRsin pear (Pyrus bretschneideri Rehd), and they were dividedinto four groups by phylogenetic analysis. In comparisonswith other groups, phylogenetic analyses and structuralinformation of the PbGLRs in group 3 suggest that thesegenes underlie specific characteristics. Among the ten genesin group 3, we observed that the expression of PbGLR3.3increased gradually during pollen germination and continuousgrowth, indicating that this gene might play a vital role in thedevelopment of pear pollen tubes. Using a combination ofantisense oligodeoxy nucleotides and Ca2+-sensitive fluorescentprobe methods, we verified that PbGLR3.3 participates in DSer-elicited intracellular Ca2+ signaling and Ca2+ regulationof growth in pear pollen tubes.

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