Time filter

Source Type

Tianjin, China

Civil Aviation University of China is a national university in Tianjin, China under the Civil Aviation Administration of China. The university was established in 1951 to provide civil aviation tertiary education and training for new pilots in China. With special focus on the higher education of civil aviation engineering and management, it has been developed as the main institute in these fields. It is next to the Tianjin Binhai International Airport. CAUC consists of two campus, the northern and the southern campuses, with a total area 1.03 million m2. Wikipedia.

Hu X.L.,Civil Aviation University of China
Journal of physics. Condensed matter : an Institute of Physics journal | Year: 2011

We have investigated effects of O on mechanical properties of NiAl by calculating the cleavage energy (γ(C)) and the unstable stacking fault energy (γ(us)) using a first-principles method. O is shown to reduce γ(C)/γ(us) for the [001](110) and [100](001) slip systems, indicating that the presence of O should be associated with the ductility reduction of NiAl. Further, γ(C)/γ(us) of the NiAl-O system can be increased by Cr, suggesting the possibility to suppress the negative effect of O via alloying elements. Source

Li D.H.,Civil Aviation University of China
Composite Structures | Year: 2016

This paper deals with the accurate description of the multiple delaminations and transverse cracks in double-curved laminated composite shells by using the extended finite element method (XFEM) and layerwise theory (LWT), and develops an extended layerwise method (XLWM) which had been applied to the laminated beams in our previous work (Li et al., 2015 [1]). In the displacement assumption of XLWM, the discontinuous function along the thickness direction is adopted to simulate the displacement discontinuous resulted from multiple delaminations. While the transverse cracks are modeled in in-plane displacements discretization by XFEM. The level set method (LSM) is employed in the present method to track the interfaces resulted from the transverse cracks. The interaction integral method and maximum circumferential tensile criterion are used to calculate the stress intensity factor (SIF) and crack growth angle, respectively. In order to ensure the accuracy of Gauss integral when certain nodes are very close to the crack surface as the crack grows, a local remeshing scheme is developed to shift these nodes without scarifying the mesh quality. In the numerical examples, spherical shells, cylindrical shells and plates with/without multiple delaminations and/or transverse crack are considered to the problems of static responses analysis, SIF calculation and transverse crack arbitrary growth. © 2015 Elsevier Ltd. Source

Tan X.,Civil Aviation University of China
Advances in Information Sciences and Service Sciences | Year: 2012

In this work, we are interested in the air-ground control to resolve the aircraft landings Problem. This problem consists at obtaining the sequencing order of aircrafts and the scheduling of landing times. The objective to solve the problem of aircraft landings is to minimize the total delay costs. In this work, we have presented a new formulation for the static aircraft arrival sequencing and scheduling, as a quadratic model. A transformation of it into linear integer program was presented by proposing a change of variables to linearize the nonlinear constraints. In the second part of this paper an ant colony algorithm have been proposed. The numerical results show that our approach is effective. For this reason we are now preparing an exact method to compare the results of this method with that of meta-heuristic. Source

Liu P.,Shandong University of Finance and Economics | Liu P.,Civil Aviation University of China | Wang Y.,Shandong University of Finance and Economics
Applied Soft Computing Journal | Year: 2014

With respect to multiple attribute group decision making (MADM) problems in which attribute values take the form of intuitionistic linguistic numbers, some new group decision making methods are developed. Firstly, some operational laws, expected value, score function and accuracy function of intuitionistic linguistic numbers are introduced. Then, an intuitionistic linguistic power generalized weighted average (ILPGWA) operator and an intuitionistic linguistic power generalized ordered weighted average (ILPGOWA) operator are developed. Furthermore, some desirable properties of the ILPGWA and ILPGOWA operators, such as commutativity, idempotency and monotonicity, etc. are studied. At the same time, some special cases of the generalized parameters in these operators are analyzed. Based on the ILPGWA and ILPGOWA operators, two approaches to multiple attribute group decision making with intuitionistic linguistic information are proposed. Finally, an illustrative example is given to verify the developed approaches and to demonstrate their practicality and effectiveness. © 2013 Elsevier B.V. Source

Sun Y.,Civil Aviation University of China | Ma F.,Jilin University | Zhang D.,Jilin University
Computer Methods in Applied Mechanics and Engineering | Year: 2014

In this paper, we establish new density results for the equilibrium equations. Based on the denseness result of the elastic potential functions, the Cauchy problem for the equilibrium equations is investigated. For this ill-posed problem, we construct a regularizing solution using the single-layer potential function. The well-posedness of the regularizing solution as well as the convergence property is rigorously analyzed. The advantage of the proposed scheme is that the regularizing solution is of the explicit analytic solution and therefore is easy to be implemented. The method combines minimum norm solution with Morozov discrepancy principle to solve an inverse problem. Convergence and stability estimates are then given with some examples for numerical verification on the efficiency of the proposed method. The numerical convergence, accuracy, and stability of the method with respect to the discretisation about the integral equations on pseudo-boundary and the distance between the pseudo-boundary and the real boundary of the solution domain, and decreasing the amount of noise added into the input data, respectively, are also analysed with some examples. © 2013 Elsevier B.V. Source

Discover hidden collaborations