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Structural damage identification using cloud model based fruit fly optimization algorithm
Zheng, Tongyi,Liu, Jike,Luo, Weili,Lu, Zhongrong Techno-Press 2018 Structural Engineering and Mechanics, An Int'l Jou Vol.67 No.3
In this paper, a Cloud Model based Fruit Fly Optimization Algorithm (CMFOA) is presented for structural damage identification, which is a global optimization algorithm inspired by the foraging behavior of fruit fly swarm. It is assumed that damage only leads to the decrease in elementary stiffness. The differences on time-domain structural acceleration data are used to construct the objective function, which transforms the damaged identification problem of a structure into an optimization problem. The effectiveness, efficiency and accuracy of the CMFOA are demonstrated by two different numerical simulation structures, including a simply supported beam and a cantilevered plate. Numerical results show that the CMFOA has a better capacity for structural damage identification than the basic Fruit Fly Optimization Algorithm (FOA) and the CMFOA is not sensitive to measurement noise.
An improved Big Bang-Big Crunch algorithm for structural damage detection
Zhiyi Yin,Jike Liu,Wei-Li Luo,Zhongrong Lu 국제구조공학회 2018 Structural Engineering and Mechanics, An Int'l Jou Vol.68 No.6
The Big Bang-Big Crunch (BB-BC) algorithm is an effective global optimization technique of swarm intelligence with drawbacks of being easily trapped in local optimal results and of converging slowly. To overcome these shortages, an improved BB-BC algorithm (IBB-BC) is proposed in this paper with taking some measures, such as altering the reduced form of exploding radius and generating multiple mass centers. The accuracy and efficiency of IBB-BC is examined by different types of benchmark test functions. The IBB-BC is utilized for damage detection of a simply supported beam and the European Space Agency structure with an objective function established by structural frequency and modal data. Two damage scenarios are considered: damage only existed in stiffness and damage existed in both stiffness and mass. IBB-BC is also validated by an existing experimental study. Results demonstrated that IBB-BC is not trapped into local optimal results and is able to detect structural damages precisely even under measurement noise.
Structural damage identification using cloud model based fruit fly optimization algorithm
Tongyi Zheng,Jike Liu,Wei-Li Luo,Zhongrong Lu 국제구조공학회 2018 Structural Engineering and Mechanics, An Int'l Jou Vol.67 No.3
In this paper, a Cloud Model based Fruit Fly Optimization Algorithm (CMFOA) is presented for structural damage identification, which is a global optimization algorithm inspired by the foraging behavior of fruit fly swarm. It is assumed that damage only leads to the decrease in elementary stiffness. The differences on time-domain structural acceleration data are used to construct the objective function, which transforms the damaged identification problem of a structure into an optimization problem. The effectiveness, efficiency and accuracy of the CMFOA are demonstrated by two different numerical simulation structures, including a simply supported beam and a cantilevered plate. Numerical results show that the CMFOA has a better capacity for structural damage identification than the basic Fruit Fly Optimization Algorithm (FOA) and the CMFOA is not sensitive to measurement noise.
Chunxian Tao,Zhaoxia Han,Jun Ruan,Shunpeng Shu,Zhongrong Lu,Ruijin Hong,Dawei Zhang 한국광학회 2017 Current Optics and Photonics Vol.1 No.4
In order to investigate the ultraviolet-excited photoluminescence properties of phosphor coatings andtheir relationship to thickness, Lumogen coatings with different thicknesses were deposited on quartzsubstrates and charge-coupled device chips by thermal evaporation. The variation of the film thicknessaffected the crystallite size, surface roughness and fluorescence signal. It was found that the Lumogencoating with the thickness of 420 nm has the largest luminescent signal and conversion efficiency, andthe corresponding coated charge-coupled devices had the maximum quantum efficiency in the ultraviolet. These results provided one key parameter for improving the sensitivity of Lumogen coated charge-coupleddevices to ultraviolet light.
Wei-Li Luo,Tongyi Zheng,Huawei Tong,Yun Zhou,Zhongrong Lu 국제구조공학회 2020 Structural Engineering and Mechanics, An Int'l Jou Vol.76 No.1
In this paper, an improved experience-based learning algorithm (EBL), termed as IEBL, is proposed to solve the nonlinear hysteretic parameter identification problem with Bouc-Wen model. A quasi-opposition-based learning mechanism and new updating equations are introduced to improve both the exploration and exploitation abilities of the algorithm. Numerical studies on a single-degree-of-freedom system without/with viscous damping are conducted to investigate the efficiency and robustness of the proposed algorithm. A laboratory test of seven lead-filled steel tube dampers is presented and their hysteretic parameters are also successfully identified with normalized mean square error values less than 2.97%. Both numerical and laboratory results confirm that, in comparison with EBL, CMFOA, SSA, and Jaya, the IEBL is superior in nonlinear hysteretic parameter identification in terms of convergence and accuracy even under measurement noise.