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- 저자 : Shen-Kai Peng (검색결과 2 건)
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Stability and wrinkling of defective graphene sheets under shear deformation
Te-Hua Fang,Win-Jin Chang,Kai-Peng Lin,Siu-Tsen Shen 한국물리학회 2014 Current Applied Physics Vol.14 No.4
The molecular dynamic simulation is performed to study the wrinkling behavior of a graphene sheet with a hole subjected to a shear loading at different temperatures. Wrinkling is inevitable under pure shear loading. Four different hole diameters of 0, 0.8, 1.6, and 3.2 nm are chosen in this simulation. The results show that the number of ridges increases with an increase of the width of the graphene sheet. The shear stress induced in the defective graphene sheet increases with increasing temperature. In addition, the shear modulus of the defective graphene sheet also increases with an increase of temperature.
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Numerical modelling of a shear-thickening fluid damper using optimal transit parameters
Pei-Ching Chen,Chung-Han Yu,Yohanes K. Surjanto,Shen-Kai Peng,Kuo-Chun Chang 국제구조공학회 2022 Smart Structures and Systems, An International Jou Vol.30 No.5
The viscosity of a shear-thickening fluid damper (STFD) can increase dramatically when the STFD undergoes highrate of excitation. Therefore, accurate numerical modelling of the STFD has been considered difficult due to this distinct feature. This study aims to develop a numerical model to accurately simulate the response of the STFD. First, a STFD is designed, fabricated, and installed in the laboratory. Then, performance tests are conducted in which sine waves with nine frequencies at three amplitude levels are adopted as the displacement excitations to the STFD. A novel numerical model which contains two parameter sets of the discrete Bouc-Wen model as well as two parameters for transiting the two parameter sets. Therefore, a total number of eighteen parameters need to be identified in the damper model. The symbiotic organisms search is applied to optimize the parameters. Numerical simulation results demonstrate that the proposed STFD model with transit parameter sets outperforms the conventional discrete Bouc-Wen model. The proposed STFD model can be applied to analyses of structures in which STFDs are installed in the future.
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