Applied Mechanics and Materials Vols. 644-650

Abstract: Interpretation work is an important work in Time-domain Electromagnetic method. There are several steps which can affect interpreting result, and all processing tool should be considered before interpreting. Leveling effect to data profile and Conduction Depth Image result was analyzed in the paper. Comparing graphic show that leveling tool should be carefully used in data, to get a suitable interpreting result. We also provide some suggestion on how to use leveling method reasonable.

Abstract: The selection of the start time for the orbit transfer is not only directly related to its success or failure, but alse determines the fuel consumption and the time it needs. To solve this kind of problem, this paper based on the Lambert theorem studies the numerical solution of the transfer orbit whose starting point and spent time are both uncertain. Firstly, the problem of non-coplanar orbit transfer is converted into a coplanar one. Than, the concepts of the tracking arc of the chaser spacecraft and the opportunity arc of the target spacecraft are described. Meanwhile, the method of solving the tracking arc of the chaser spacecraft and the opportunity arc of the target spacecraft is put forward. Finally, through a concrete example, it’s found that there are close relationships among the tracking arc, the opportunity arc and the maneuvering capability of the chaser spacecraft. The results indicate that analyzing the problem of orbit transfer with the help of the tracking arc and the opportunity arc is easy and effective.

Abstract: Network structure is irregular, complex and dynamically evolving in time. Labelled graphs are used in researching areas of many networks, cryptography, computer science, biology, information etc. For simulating real networks we construct several classes of sun-like network models, and show that sun-like network models have can be strictly distinguished by felicitous labellings. We have several algorithms in polynomial time..

Abstract: In the base of genetic algorithm, the article make a lot of Analysis in the structure parameter optimization of composite material interbred protective door, which use the rational code and genetic work ,so that structure change light. Use the optimize algorithm to devise the rational structure parameter of the composite material interbred protective door ,it change light and complete the goal of structure optimization and also can satisfied the military target.

Abstract: In order to meet the requirements of target tracking problem in terminal guidance of intercepting an aircraft, based on Gaussian-Newton Iteration strategy, a novel divided differential filter was introduced, which guaranteed higher estimation accuracy than the commonly used EKF and UKF methods. The relative small computation load made it possible for real time implantation of the filter and simulations based on a typical terminal guidance model proved the correctness and effectiveness of the proposed filter.

Abstract: In this paper, a new fuzzy model-based adaptive approach for synchronization of chaotic systems with unknown parameters. Theoretical analysis based on Lyapunov stability theory is provided to verify its feasibility. Takagi-Sugeno (T-S) fuzzy model is employed to express the chaotic systems. Based on this model, an adaptive fuzzy controller and the parameters update law are developed. With the proposed scheme, parameters identification and synchronization of identical or nonidentical chaotic systems can be achieved simultaneously. Numerical simulations further demonstrate the effectiveness of the proposed scheme.

Abstract: Ploughing effect and cutting edge scale in process of inconel 718-cutting have been investigated. The influence of cutting edge increasing the Plowing effect and Lattice distortion, when the relationship between ploughing effect and cutting edge scale have been aggravate in inconel 718-cutting. The results show that the Plowing effect is influenced obviously by cutting edge scale. Ploughing effect is mainly related to flank and machined surface in their resistance to each other’s friction and the Lattice slip. However, it’s inadequate that the explanation of ploughing effect, which only adopts the Strain gradient effect. The new scale should be introduced with Strain gradient effect. The paper illustrate that the formed of chip reflected the ploughing effect with cutting edge scale.

Abstract: This paper’s primary mission is to predict the cost of power transmission and transformation projects of a certain China’s province based on GA-RBF and PSO-RBF neural network. The projects’ data is divided into two main categories-power transformation projects and power line construction projects, with the cost per capacity (RMB/kVA) and cost per unit length (RMB/km) as the indicators of each category. After filtering out main influencing factors and initialization processing for the data, the obtained normalized data can be put into GA-RBF and PSO-RBF predicting model. The empirical analysis is carried on by Matlab. The prediction accuracy can be compared intuitively based on the output of neural network, and from the results we can conclude that GA-RBF is more precise than PSO-RBF when applied to project cost prediction.

Abstract: Unmanned aerial vehicles with the characteristics of zero casualties, low cost and good mobility, have broad application prospects in modern warfare and civilian areas. Conflict detection technology of UAV in an uncertain environment is prerequisite that multi-UAVs finish a task in the same airspace. In this paper, with unknown wind condition, the joint estimation of both the path and unknown parameter is presented in the risk of conflict detection algorithm. First, in the two-dimensional Cartesian coordinate system, the aircraft kinematic model under the influence of unknown wind is established, a particle learning filter method to estimated the flight track and the wind speed vector. Secondly, with the minimum horizontal and vertical safe distance, the collision risk probability of two planes in three-dimensional space is established and calculated. Finally, with a numerical example based on Matlab, the probability of collision risk is calculated, which verified the model is reasonable.

Abstract: The high reliability and the short times carried of quantitative risk assessment of Filling system in launching site, the failure data is small sample data. In this paper, we will focus on these small sample data and take processing analysis. A method based on Bayesian method of failure data processing analysis of Filling system has been proposed, which firstly analyzes the characteristic of failure data of Filling system. Secondly, we classify the failure data into running failure data and demanding data according to the data types, and further analyze various uncertainty distributions under this two kinds of data type. What’s more, we use Bayesian method to solve the problems of various failure data. Lastly, we combine the real circumstance of Filling system and take the Filling system as example, and choose the filling pump, shut-off valve and pneumatic ball valve these three different failure types to use Bayesian method to analyze, and obtain various prior distributions and posterior distributions of different failure equipment, and give the simulation results.