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        Nonlinear Aeroelastic Analysis of Heated Curved Panels in Supersonic Air Flow

        Zhou Jian,Xu Minglong,Yang Zhichun 한국항공우주학회 2020 International Journal of Aeronautical and Space Sc Vol.21 No.4

        A nonlinear aeroelastic model for a two-dimensional heated curved panel in supersonic air flow is established by using Galerkin method. The von Karman large deflection theory and the third-order piston theory appended with the static aerodynamic loading are used in the governing equations. The static aero-thermal deflection of the curved panel is firstly obtained by using Newton iterative approach. Then the stability boundary under different temperature elevations is achieved by using Lyapunov’s indirect method. Lastly, the motion equations of a heated curved panel in supersonic air flow are solved by a fourth-order Runge–Kutta numerical scheme. Time history responses, phase plots, Poincare maps and bifurcation diagrams are used for better understanding of the pre/post-flutter responses of a curved panel by varying parameters, including curvatures, dynamic pressures and temperature elevations. The results demonstrate that the flutter boundary drops significantly with increasing temperature elevation for panels with small curvatures. However, the flutter boundary almost keeps the same for panels with large curvatures. The nonlinear flutter characteristics of the curved panel differs from those of flat panels significantly, the nonlinear flutter response of heated curved panels changes from static equilibrium point or LCO to chaos with the increase of temperature elevation or dynamic pressure and the static, LCO motions also exist in the chaotic area. For panels with large curvatures, the chaotic motions cannot occur, and the amplitude of LCO is limited in a certain range.

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        Research on Calculation Method of Suspension Bridge Internal Force under Random Traffic Load

        Pengfei Wu,Zhichun Fang,Xue Wang,Renyuan Wang,Qiang Xu 대한토목학회 2023 KSCE Journal of Civil Engineering Vol.27 No.11

        Suspension bridge is a flexible structure. The weight, location and number of traffic on the bridge will affect the geometric alignment of the bridge. Although the finite element software can analyze the geometric nonlinearity of the bridge, the calculation of random load combination in finite element software is huge. In this paper, based on the deformation coordination, static equilibrium and constitutive model of the bridge, the force expression considering the geometric nonlinearity of the bridge is derived. Finite element software is used to simulate the internal force of components of suspension bridge under train load and vehicle load. The accuracy is verified by comparing the finite element results. Considering the random number of traffics, the random location of traffics, and the random weight of traffics, this paper analyzes the stress state of bridge under the random process of train load and vehicle load respectively. The method in this paper can be well used to analyze the actual stress state of the bridge, and provide a theoretical basis for related calculations.

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        Comparative morphology of sensilla on antenna, maxillary palp and labial palp of larvae of white‐spotted and yellow‐spotted Asian long‐horned beetle, Anoplophora glabripennis Motschulsky (Coleoptera: Cerambycidae)

        Yuchao Yang,Lili XU,Lili REN,Zhichun XU,Shixiang ZONG 한국곤충학회 2017 Entomological Research Vol.47 No.1

        The Asian long‐horned beetle (ALB) is one of the most important wood‐boring insects worldwide that damages broad‐leaved trees, primarily poplar, willow, elm and maple. Based on the color of the spots on the elytra, the beetles are separated into white‐spotted (ALB‐W) and yellow‐spotted (ALB‐Y) Asian long‐horned beetles. In order to clarify the morphology of sensilla on antenna, maxillary palp and labial palp of ALB‐W and ALB‐Y larvae, we studied the typology, morphology, number and distribution of the sensilla by scanning electron microscopy. The results showed that: (i) the antennae of two biotypes had five types of sensilla, including three types of sensilla basiconica (b.) and two types of sensilla twig basiconica (s.tb); numbers of b.1, b.2, b.3 and s.tb1 on antenna were not significantly different (P > 0.05) between two biotypes, and the numbers of s.tb2 were significantly different (P < 0.05); (ii) the maxillary palp of two biotypes had four types of sensilla, including sensilla styloconica (st.), two types of s.tb and digitiform sensilla (ds.); the numbers of st. and ds. on the maxillary palp were not significantly different (P > 0.05) between two biotypes, and the numbers of s.tb1 and s.tb2 were significantly different (P < 0.05); (iii) the labial palp of two biotypes had four types of sensilla, including b., st. and two types of s.tb, and the numbers of b.3, st., s.tb1 and s.tb2 on the labial palp were not significantly different (P > 0.05) between two biotypes. We discuss the relationships between sensilla and damage caused by the larvae inside the host trees.

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