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RISS 인기검색어
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- 저자 : Jianhua Rong (검색결과 5 건)
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Yi, Jijun,Rong, Jianhua,Zeng, Tao,Huang, X. Techno-Press 2013 Structural Engineering and Mechanics, An Int'l Jou Vol.45 No.6
In this paper, a topology optimization method based on the element independent nodal density (EIND) is developed for continuum solids with multiple load cases and multiple constraints. The optimization problem is formulated ad minimizing the volume subject to displacement constraints. Nodal densities of the finite element mesh are used a the design variable. The nodal densities are interpolated into any point in the design domain by the Shepard interpolation scheme and the Heaviside function. Without using additional constraints (such ad the filtering technique), mesh-independent, checkerboard-free, distinct optimal topology can be obtained. Adopting the rational approximation for material properties (RAMP), the topology optimization procedure is implemented using a solid isotropic material with penalization (SIMP) method and a dual programming optimization algorithm. The computational efficiency is greatly improved by multithread parallel computing with OpenMP to run parallel programs for the shared-memory model of parallel computation. Finally, several examples are presented to demonstrate the effectiveness of the developed techniques.
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Jijun Yi,Jianhua Rong,Tao Zeng,X. Huang 국제구조공학회 2013 Structural Engineering and Mechanics, An Int'l Jou Vol.45 No.6
In this paper, a topology optimization method based on the element independent nodal density (EIND) is developed for continuum solids with multiple load cases and multiple constraints. The optimization problem is formulated as minimizing the volume subject to displacement constraints. Nodal densities of the finite element mesh are used as the design variables. The nodal densities are interpolated into any point in the design domain by the Shepard interpolation scheme and the Heaviside function. Without using additional constraints (such as the filtering technique), mesh-independent, checkerboard-free, distinct optimal topology can be obtained. Adopting the rational approximation for material properties (RAMP), the topology optimization procedure is implemented using a solid isotropic material with penalization (SIMP) method and a dual programming optimization algorithm. The computational efficiency is greatly improved by multithread parallel computing with OpenMP to run parallel programs for the shared-memory model of parallel computation. Finally, several examples are presented to demonstrate the effectiveness of the developed techniques.
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Chaofan Hu,Yingliang Liu,Jianhua Rong,Qingqing Liu 성균관대학교(자연과학캠퍼스) 성균나노과학기술원 2015 NANO Vol.10 No.8
A novel strategy toward one-pot hydrothermal synthesis of copper sulfide nanoplates-decorated reduced graphene oxide (RGO–CuS) composites was developed. CuS nanoplates were successfully loaded onto the surface of RGO in the hydrothermal procedure, which was confirmed by transmission electron microscopy, UV-Vis–NIR and Raman spectroscopy. The as-synthesized RGO–CuS composites showed pronounced enhanced optical absorbance in near infrared (NR) region and higher photothermal conversion efficiency than noncomposite GO and CuS nanoplates. The RGO–CuS materials were used in photothermal ablation of cancer cells with a 980 nm laser irradiation and showed improved performance than CuS nanoplates.
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Cuihua Wang,Duo Rong,Wenquan Zhang,Bin Gong,Jianhua Wu 대한기계학회 2023 JOURNAL OF MECHANICAL SCIENCE AND TECHNOLOGY Vol.37 No.9
The flow and heat transfer characteristics of magnetic nanofluids in a circular channel under the action of magnetic fields were studied through numerical simulation based on the finite element method. The results show that there are obvious secondary vortices on the cross-section, and a swirling flow is formed in the duct under the coupling effects of the magnetic field, velocity distribution, and thermal variations which destroys the boundary layer, accelerates the mixing of fluids, and enhances heat transfer. In the studied range, the maximum heat transfer coefficient can be increased by 102.65 %, and the maximum comprehensive heat transfer factor J is 1.69 compared to the ferrofluid not affected by the external magnetic field. In addition, the effect of enhancing heat transfer gradually decreases with the increase of θ, until heat transfer is slightly inhibited when the magnetic field is parallel to the flow direction.
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Hypoxia-induced circRNF13 promotes the progression and glycolysis of pancreatic cancer
Zhao Qiuyan,Zhu Zhonglin,Xiao Wenqin,Zong Guanzhao,Wang Chuanyang,Jiang Weiliang,Li Kai,Shen Jie,Guo Xingya,Cui Jianhua,Guo Lihong,Wan Rong 생화학분자생물학회 2022 Experimental and molecular medicine Vol.54 No.-
Pancreatic cancer (PC) is one of the most malignant tumors. Rapid progression and distant metastasis are the main causes of patient death. Hypoxia is a hallmark of multiple cancers and is involved in tumor biology. However, little is known about the roles of circRNAs in glycolysis and hypoxia-mediated progression of PC. Here, the expression pattern of hypoxia-related circRNAs was analyzed using RNA sequencing. A unique circRNA termed circRNF13 was found to be upregulated in PC tissues and may be a potential prognostic indicator. HIF-1α and EIF4A3 are involved in regulating the biogenesis of circRNF13. Furthermore, circRNF13 was validated to exert a stimulative effect on cell proliferation, angiogenesis, invasion and glycolysis. Importantly, we found that circRNF13 promoted PDK3 levels by acting as a miR-654-3p sponge, thus promoting the PC malignant process. Collectively, our results reveal that hypoxia-induced circRNF13 mediated by HIF-1α and EIF4A3 promotes tumor progression and glycolysis in PC, indicating the potential of circRNF13 as a prognostic biomarker and therapeutic target for PC.
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