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Bing Lu,Chang-Hai Zhai,Shuang Li,Duofa Ji,Xianbin Lu 한국강구조학회 2020 International Journal of Steel Structures Vol.20 No.5
The existing push-out test results showed that the ultimate shear capacities and ultimate slips of tie-bars and studs under cyclic loading were signifi cantly lower than those under monotonic loading, which could signifi cantly aff ect the seismic performance of steel–plate concrete composite (SC) structures. The fl exural behavior of two SC beams subjected to cyclic loading was investigated. Specimen SCB1 using tie-bars was partial shear connection, and specimen SCB2 using tie-bars and studs was full shear connection. The failure modes, hysteresis curves, skeleton curves, equivalent lateral stiff ness, energy dissipation, interfacial slip distribution, interfacial shear distributions, and strain in steel plates were researched. The experimental results show that two SC specimens were brittle failure, which primarily resulted from premature shear fracture of shear connectors at the interfaces between steel plate and concrete. Finally, two existing codes for SC structures were used to analyze the bending moment and shear of SC beams as well as interfacial shear of tie-bars and studs. This indicates that due to the diff erence of shear connection ratio between two specimens, the interfacial shear distributions of two SC beams were signifi cantly diff erent.
Huber Second-order Variable Structure Predictive Filter for Satellites Attitude Estimation
Lu Cao,Dechao Ran,Xiaoqian Chen,Xianbin Li,Bing Xiao 제어·로봇·시스템학회 2019 International Journal of Control, Automation, and Vol.17 No.7
This work presents a novel filtering approach to the high-accuracy attitude estimation problem of satellites. A new second-order variable structure predictive filter is first designed with the measurement errors and theirdifference reduced. The key feature of this filter is that the noise handled is not constrained to be the Gaussianwhite noise. Hence, it is a new solution to filtering problem in the presence of modeling errors or heavy-tailednoise. Then, the robust version of the preceding filter is developed by using the Huber technique. This robustfilter can ensure great robustness and perfect estimation accuracy/precision for the satellite attitude. The Lyapunovstability analysis proves that the measurement error and its difference can be stabilized into a small set with a fasterrate of convergence. The effectiveness of the presented attitude estimation filters is validated via simulation bycomparing with the traditional cubature Kalman filter.