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| 1 | Neural Networks Combined with Importance Sampling Techniques for Reliability Evaluation of Explosive Initiating Device显示文摘Concerning the issue of high-dimensions and low-failure probabilities including implicit and highly nonlinear limit state function, reliability analysis based on the directional importance sampling in combination with the radial basis function (RBF) neural network is used, and the RBF neural network based on first-order reliability method (FORM) is to approximate the unknown implicit limit state functions and calculate the most probable point (MPP) with iterative algorithm. For good efficiency, based on the ideas that directional sampling reduces dimensionality and importance sampling focuses on the domain contributing to failure probability, the joint probability density function of importance sampling is constructed, and the sampling center is moved to MPP to ensure that more random sample points draw belong to the failure domain and the simulation efficiency is improved. Then the numerical example of initiating explosive devices for rocket booster explosive bolts demonstrates the applicability, versatility and accuracy of the approach compared with other reliability simulation algorithm. | GONG Qi ZHANG Jianguo TAN Chunlin WANG Cancan | 2012 | Chinese Journal of Aeronautics2012，25，2： | 10 |
| 2 | A study of morphing aircraft on morphing rules along trajectory显示文摘Morphing aircraft can meet requirements of multi-mission during the whole flight due to changing the aerodynamic shape,so it is necessary to study itsmorphing rules along the trajectory.However,trajectory planning considering morphing variables requires a huge number of expensive CFD computations due to the morphing in view of aerodynamic performance.Under the given missions and trajectory,to alleviate computational cost and improve trajectory-planning efficiency formorphing aircraft,an offline optimizationmethod is proposed based onMulti-Fidelity Kriging(MFK)modeling.The angle of attack,Mach number,sweep angle and axial position of the morphing wing are defined as variables for generating training data for building the MFK models,in which many inviscid aerodynamic solutions are used as low-fidelity data,while the less high-fidelity data are obtained by solving viscous flow.Then the built MFK models of the lift,drag and pressure centre at the different angles of attack andMach numbers are used to predict the aerodynamic performance of the morphing aircraft,which keeps the optimal sweep angle and axial position of the wing during trajectory planning.Hence,themorphing rules can be correspondingly acquired along the trajectory,aswell as keep the aircraftwith the best aerodynamic performance during thewhole task.The trajectory planning of amorphing aircraft was performed with the optimal aerodynamic performance based on the MFK models,built by only using 240 low-fidelity data and 110 high-fidelity data.The results indicate that a complex trajectory can take advantage of morphing rules in keeping good aerodynamic performance,and the proposed method is more efficient than trajectory optimization by reducing 86%of the computing time. | Xiaoyu CHEN Chunna LI Chunlin GONG Liangxian GU Andrea Da RONCH | 2021 | Chinese Journal of Aeronautics2021，34，7： | 8 |
| 3 | Dynamics of a deflectable-nose missile显示文摘The dynamics of a supersonic missile with a deflectable nose are studied. To describe the effects of nose deflection on the dynamic model, theorems of momentum and angular momentum are adopted to develop the translational equation and rotation equation, respectively. Because the exact model is complex, it is simplified. The simplified model suggests that the main influence of nose deflection on the dynamic model is due to the product of the time derivatives of the azimuth angle and the elevation angle, which makes the dynamic model an impulsive differential system. Considering the aerodynamic characteristics a numerical simulation is sufficient to show the open-loop characteristics of the missile. | SUN XiaoFeng GU LiangXian GONG ChunLin | 2012 | Science China(Technological Sciences)2012，55，12： | 3 |
| 4 | Comprehensive identification and analyses of the Hsf gene family in the whole-genome of three Apiaceae species显示文摘Apiaceae is a major family from Apiales and includes many important vegetable and medicinal crops.Heat shock transcription factors(Hsf)play important roles in heat tolerance during plant development.Here,we conducted systematic analyses of the Hsf gene family in three Apiaceae species,including 17 Apium graveolens(celery),32 Coriandrum sativum(coriander),and 14 Daucus carota(carrot).A total of 73 Hsf genes were identified in three representative species,including Arabidopsis thaliana,Vitis vinifera,and Lactuca sativa.Whole-genome duplication played important roles in the Hsf gene family’s expansion within Apiaceae.Interestingly,we found that coriander had more Hsf genes than celery and carrot due to greater expansion and fewer losses.Twenty-seven branches of the phylogenetic tree underwent considerable positive selection in these Apiaceae species.We also explored the expression patterns of Hsf genes in three plant organs.Collectively,this study will serve as a rich gene resource for exploring the molecular mechanisms of heat tolerance.Additionally,this is the first study to report on the Hsf gene family in Apiaceae;thus,our research will provide guidance for future comparative and functional genomic studies on the Hsf gene family and others in Apiaceae. | Qiaoying Pei Tong Yu TongWu Qihang Yang Ke Gong Rong Zhou Chunlin Cui Ying Yu Wei Zhao Xi Kang Rui Cao Xiaoming Song | 2021 | Horticultural Plant Journal2021，7，5： | 3 |
| 5 | Synthesis of branched polystyrene by ATRP exploiting divinybenzene as branching comonomer显示文摘 | Ran Qiang Gong Fanghong Liu Chunlin | 2006 | European Polymer Journal2006，42，10： | 1 |
| 6 | Measure the performance of cooperative detection of sea-skimming target显示文摘 | Bing Niu Liangxian Gu Chunlin Gong | 2012 | Signal Processing(ICSP)2012，，3： | 1 |
| 7 | Applying the disciplinary relation matrix to multidisciplinary design optimization modeling and solving显示文摘A new efficient coupling relationship description method has been developed to provide an automated and visualized way to multidisciplinary design optimization(MDO) modeling and solving. The disciplinary relation matrix(DRM) is proposed to describe the coupling relationship according to disciplinary input/output variables, and the MDO definition has been reformulated to adopt the new interfaces. Based on these, a universal MDO solving procedure is proposed to establish an automated and efficient way for MDO modeling and solving. Through a simple and convenient initial configuration, MDO problems can be solved using any of available MDO architectures with no further effort. Several examples are used to verify the proposed MDO modeling and solving process. Result shows that the DRM method has the ability to simplify and automate the MDO procedure, and the related MDO framework can evaluate the MDO problem automatically and efficiently. | Hua Su Liangxian Gu Chunlin Gong | 2017 | Journal of Systems Engineering and Electronics2017，28，4： | 1 |
| 8 | Novel volumetric three-dimensional display system 显示文摘 | Li Li Gong Huajun Shen Chunlin | 2008 | Transactions of Nanjing University of Aeronautics & Astronautics2008，25，3： | 1 |
| 9 | Effect of aging on islet beta-cell function and its mechanisms in Wistar rats显示文摘 | Zhaoyan Gu Yingzhen Du Yu Liu Lichao Ma Lin Li Yanping Gong Hui Tian Chunlin Li | 2012 | AGE2012，，6： | 1 |
| 10 | Preparation of hyper branched polymers through ATRP of in situ formed AB monomer显示文摘 | Gong Fanghong Tang Honglan Liu Chunlin | 2006 | J Appl Polym Sci2006，101，3： | 1 |
| 11 | Comparative analysis of long noncoding RNAs in angiosperms and characterization of long noncoding RNAs in response to heat stress in Chinese cabbage显示文摘Long noncoding RNAs(lncRNAs)are widely present in different species and play critical roles in response to abiotic stresses.However,the functions of lncRNAs in Chinese cabbage under heat stress remain unknown.Here,we first conducted a global comparative analysis of 247,242 lncRNAs among 37 species.The results indicated that lncRNAs were poorly conserved among different species,and only 960 lncRNAs were homologous to 524 miRNA precursors.We then carried out lncRNA sequencing for a genome-wide analysis of lncRNAs and their target genes in Chinese cabbage at different stages of heat treatment.In total,18,253 lncRNAs were identified,of which 1229 differentially expressed(DE)lncRNAs were characterized as being heat-responsive.The ceRNA network revealed that 38 lncRNAs,16 miRNAs,and 167 mRNAs were involved in the heat response in Chinese cabbage.Combined analysis of the cis-and trans-regulated genes indicated that the targets of DE lncRNAs were significantly enriched in the“protein processing in endoplasmic reticulum”and“plant hormone signal transduction”pathways.Furthermore,the majority of HSP and PYL genes involved in these two pathways exhibited similar expression patterns and responded to heat stress rapidly.Based on the networks of DE lncRNA-mRNAs,29 and 22 lncRNAs were found to interact with HSP and PYL genes,respectively.Finally,the expression of several critical lncRNAs and their targets was verified by qRT-PCR.Overall,we conducted a comparative analysis of lncRNAs among 37 species and performed a comprehensive analysis of lncRNAs in Chinese cabbage.Our findings expand the knowledge of lncRNAs involved in the heat stress response in Chinese cabbage,and the identified lncRNAs provide an abundance of resources for future comparative and functional studies. | Xiaoming Song Jingjing Hu Tong Wu Qihang Yang Xuehuan Feng Hao Lin Shuyan Feng Chunlin Cui Ying Yu Rong Zhou Ke Gong Tong Yu Qiaoying Pei Nan Li | 2021 | Horticulture Research2021，8，1： | 0 |
| 12 | Design methodology of a mini-missile considering flight performance and guidance precision显示文摘The design of mini-missiles(MMs)presents several novel challenges.The stringent mission requirement to reach a target with a certain precision imposes a high guidance precision.The miniaturization of the size of MMs makes the design of the guidance,navigation,and control(GNC)have a larger-thanbefore impact on the main-body design(shape,motor,and layout design)and its design objective,i.e.,flight performance.Pursuing a trade-off between flight performance and guidance precision,all the relevant interactions have to be accounted for in the design of the main body and the GNC system.Herein,a multi-objective and multidisciplinary design optimization(MDO)is proposed.Disciplines pertinent to motor,aerodynamics,layout,trajectory,flight dynamics,control,and guidance are included in the proposed MDO framework.The optimization problem seeks to maximize the range and minimize the guidance error.The problem is solved by using the nondominated sorting genetic algorithm II.An optimum design that balances a longer range with a smaller guidance error is obtained.Finally,lessons learned about the design of the MM and insights into the trade-off between flight performance and guidance precision are given by comparing the optimum design to a design provided by the traditional approach. | ZHANG Licong GONG Chunlin SU Hua ANDREA Da Ronch | 2024 | Journal of Systems Engineering and Electronics2024，35，1： | 0 |
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