﻿<?xml version="1.0" encoding="utf-8"?><rss version="2.0"><channel><title>International Journal of Aerospace Engineering</title><link>http://www.hindawi.com</link><description>The latest articles from Hindawi Publishing Corporation</description><copyright>&amp;#169; 2008, Hindawi Publishing Corporation. All rights reserved.</copyright><item><title>Optimal Airport Surface Traffic Planning Using Mixed-Integer Linear Programming</title><link>http://www.hindawi.com/GetArticle.aspx?doi=10.1155/2008/732828</link><description>We describe an ongoing research effort pertaining to the development of a surface traffic automation system that will help controllers to better coordinate surface traffic movements related to arrival and departure traffic. More specifically, we describe the concept for a taxi-planning support tool that aims to optimize the routing and scheduling of airport surface traffic in such a way as to deconflict the taxi plans while optimizing delay, total taxi-time, or some other airport efficiency metric. Certain input parameters related to resource demand, such as the expected landing times and the expected pushback times, are rather difficult to predict accurately.  Due to uncertainty in the input data driving the taxi-planning process, the taxi-planning tool is designed such that it produces solutions that are robust to uncertainty. The taxi-planning concept presented herein, which is based on mixed-integer linear programming, is designed such that it is able to adapt to perturbations in these input conditions, as well as to account for failure in the actual execution of surface trajectories. The capabilities of the tool are illustrated in a simple hypothetical airport.</description><Author>P. C. Roling and H. G. Visser</Author><copyright>&amp;#169; 2008, Hindawi Publishing Corporation. All rights reserved.</copyright></item><item><title>Modeling of Moisture Diffusion in Carbon Braided Composites</title><link>http://www.hindawi.com/GetArticle.aspx?doi=10.1155/2008/294681</link><description>In this study, we develop a methodology based on finite element analysis to predict the weight gain of carbon braided composite materials exposed to moisture. The analysis was based on the analogy between thermal conduction and diffusion processes, which allowed for a commercial code for finite element analysis to be used. A detailed finite element model using a repetitive unit cell (RUC) was developed both for bundle and carbon braided composites. Conditioning tests were performed to estimate the diffusivity of both the resin and composite. When comparing numerical and experimental results, it was observed that the procedure introduces an average error of 20&amp;#37; and a maximum error of 31&amp;#37; if the RUC is assumed to be isotropic. On the other hand, the average error does not exceed 10&amp;#37; and the maximum error is less than 20&amp;#37; when the material is considered as orthotropic. The procedure is independent of the particular fiber architecture and can be extended to other composites.</description><Author>S. Laurenzi, T. Albrizio, and M. Marchetti</Author><copyright>&amp;#169; 2008, Hindawi Publishing Corporation. All rights reserved.</copyright></item><item><title>Transient Burning Rate Model for Solid Rocket Motor Internal Ballistic Simulations</title><link>http://www.hindawi.com/GetArticle.aspx?doi=10.1155/2008/826070</link><description>A general numerical model based on the Zeldovich-Novozhilov solid-phase energy conservation result for unsteady solid-propellant burning is presented in this paper. Unlike past models, the integrated temperature distribution in the solid phase is utilized directly for estimating instantaneous burning rate (rather than the thermal gradient at the burning surface). The burning model is general in the sense that the model may be incorporated for various propellant burning-rate mechanisms. Given the availability of pressure-related experimental data in the open literature, varying static pressure is the principal mechanism of interest in this study. The example predicted results presented in this paper are to a substantial extent consistent with the corresponding experimental firing response data.</description><Author>David R. Greatrix</Author><copyright>&amp;#169; 2008, Hindawi Publishing Corporation. All rights reserved.</copyright></item></channel></rss>