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RISS 인기검색어
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- 저자 : Jinling Gao (검색결과 4 건)
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Analytical and numerical study of temperature stress in the bi-modulus thick cylinder
Jinling Gao,Peikui Huang,Wenjuan Yao 국제구조공학회 2017 Structural Engineering and Mechanics, An Int'l Jou Vol.64 No.1
Many materials in engineering exhibit different modulus in tension and compression, which are known as bimodulus materials. Based on the bi-modulus elastic theory, a modified semi-analytical model, by introducing a stress function, is established in this paper to study the mechanical response of a bi-modulus cylinder placed in an axisymmetric temperature field. Meanwhile, a numerical procedure to calculate the temperature stresses in bi-modulus structures is developed. It is proved that the bi-modulus solution can be degenerated to the classical same modulus solution, and is in great accordance with the solutions calculated by the semi-analytical model proposed by Kamiya (1977) and the numerical solutions calculated both by the procedure complied in this paper and by the finite element software ABAQUS, which demonstrates that the semi-analytical model and the numerical procedure are accurate and reliable. The result shows that the modified semi-analytical model simplifies the calculation process and improves the speed of computation. And the numerical procedure simplifies the modeling process and can be extended to study the stress field of bi-modulus structures with complex geometry and boundary conditions. Besides, the necessity to introduce the bi-modulus theory is discussed and some suggestions for the qualitative analysis and the quantitative calculation of such structure are proposed.
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Song Jinling,Huang Liming,Gao Yan,Liu Aiyong,Liu Haibin 보안공학연구지원센터 2016 International Journal of u- and e- Service, Scienc Vol.9 No.5
To ameliorate the limitations of traditional collaborative filtering technologies and enhance the recommendation quality of agricultural science and technology information, a collaborative filtering recommendation method based on synthetic strategy is proposed. Firstly, filter the user set and user-item rating matrix according to the location of target user, which can solve the regional problem. Then, predict ratings of items according to the similarity of users or item content, which can relax the impact of the sparse rating. In addition, add the rating time to the user-item rating matrix to distinguish the timeliness of the user preference, and add user preference shifting in the similarity formula as a factor which can express the similarity of users or item content better. Our method can not only guarantee the recommended information is local and suit to current season of agricultural production, but also ensure the recommending precision under sparse rating data.
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Nonlinear large deflection buckling analysis of compression rod with different moduli
Wenjuan Yao,Jianwei Ma,Jinling Gao,Yuanzhong Qiu 국제구조공학회 2015 Structural Engineering and Mechanics, An Int'l Jou Vol.54 No.5
Many novel materials exhibit a property of different elastic moduli in tension and compression. One such material is graphene, a wonder material, which has the highest strength yet measured. Investigations on buckling problems for structures with different moduli are scarce. To address this new problem, firstly, the nondimensional expression of the relation between offset of neutral axis and deflection curve is derived based on the phased integration method, and then using the energy method, load-deflection relation of the rod is determined; Secondly, based on the improved constitutive model for different moduli, large deformation finite element formulations are developed and combined with the arc-length method, finite element iterative program for rods with different moduli is established to obtain buckling critical loads; Thirdly, material mechanical properties tests of graphite, which is the raw material of graphene, are performed to measure the tensile and compressive elastic moduli, moreover, buckling tests are also conducted to investigate the buckling behavior of this kind of graphite rod. By comparing the calculation results of the energy method and finite element method with those of laboratory tests, the analytical model and finite element numerical model are demonstrated to be accurate and reliable. The results show that it may lead to unsafe results if the classic theory was still adopted to determine the buckling loads of those rods composed of a material having different moduli. The proposed models could provide a novel approach for further investigation of non-linear mechanical behavior for other structures with different moduli.
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Long Ruan,Lijuan Chen,Yihong Chen,Jinling He,Wei Zhang,Zhengliang Gao,Yunhua Zhang 한국식물학회 2012 Journal of Plant Biology Vol.55 No.2
Sweet potato (Ipomoea batatas L. cv. Lizixiang)is a nutritious arable crop with a low drought tolerance during growth and maturation. The Arabidopsis HOMEODOMAIN GLABROUS 11 (HDG11) gene can increase drought tolerance in tobacco and tall fescue plants. To determine the effect of HDG11 in the sweet potato, transgenic plants that expressed the HDG11 gene were generated by Agrobacterium-mediated transformation. Expression of the transgene was confirmed using Southern blotting, reverse transcription-polymerase chain reaction (RT-PCR) and DNA sequencing. Two independent HDG11 transgenic lines were evaluated and increased drought stress tolerance was observed in both lines, compared to wild-type (WT) plants. Under drought stress conditions, net photosynthesis rate (Pn), the efficiency of excitation energy captured by open PSII reaction centers (Fv/Fm) and water use efficiency (WUE) increased, and transpiration rate (Tr) decreased in HDG11 transgenic plants compared to WT. HDG11 transgenic plants also had decreased lipid membrane oxidative damage, reduced H2O2 accumulation and increased ROSscavenging enzyme activity during drought stress treatment. This study indicates that overexpression of the Arabidopsis HDG11 gene improved drought tolerance in the sweet potato.
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