This paper presents a numerical formulation for the analysis of sliding contacts between moving conductors based on a hybrid FEM (finite element method) MOM (method of moments) technique. The use of the equivalence th...
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This paper presents a numerical formulation for the analysis of sliding contacts between moving conductors based on a hybrid FEM (finite element method) MOM (method of moments) technique. The use of the equivalence theorem allows splitting the complete problem in a number of interior problems and in an exterior one. The coupling of these problems is performed via the imposition of the continuity conditions of fields on the fictitious surfaces that enclose the moving conductors. Suitable additional boundary conditions are imposed on the sliding surfaces in order to ensure the proper current flux through the contacts. The proposed formulation is applied to the analysis of the performance of a rail-launcher. The results of the simulations show the capability of the formulation to take into account the characteristic phenomena of these devices and in particular the presence of the velocity skin effect. Comparisons between the results obtained by the proposed formulation and by other methods are reported.
Stripline circuit can be modelled to planar circuit, whose equivalent network are rigorously given by modal analysis. Thus derived equivalent network can be analyzed by conventional circuit theory. Validity of “plana...
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Stripline circuit can be modelled to planar circuit, whose equivalent network are rigorously given by modal analysis. Thus derived equivalent network can be analyzed by conventional circuit theory. Validity of “planar circuit/equivalent network model” is demonstrated by 1D, 2D and 3D analysis for practical structures.
Publish/subscribe infrastructures have in the recent years gained significant traction with several specifications such as the Java message Service, WS-Eventing and WS-Notification trying to capture the essence of pub...
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Publish/subscribe infrastructures have in the recent years gained significant traction with several specifications such as the Java message Service, WS-Eventing and WS-Notification trying to capture the essence of publish/subscribe systems and enabling the development of interoperable systems. In this paper we present a scheme for the discovery of topics in distributed publish/subscribe systems. The scheme outlined in this paper addresses security related issues such as authorization and provenance in the discovery of the aforementioned topics. We have also included results from our implementation of this scheme to demonstrate the feasibility of this mechanism. The work that we describe here can be used in systems based on JMS, WS-Eventing or WS-Notification.
The radar cross section (RCS) of a target is dependent on frequency as well as angle. The method of moments (MOM) in conjunction with the bivariate Padé approximant technique is applied to predict the mono-static...
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ISBN:
(纸本)078039433X
The radar cross section (RCS) of a target is dependent on frequency as well as angle. The method of moments (MOM) in conjunction with the bivariate Padé approximant technique is applied to predict the mono-static RCS of an arbitrarily shaped metallic target in both frequency and angular domains simultaneously. The electric field integral equation (EFIE) of the target is solved using MOM to obtain the equivalent current on the target surface. In the bivariate Padé approximant technique, the equivalent current at a given frequency and angle is expanded in the desired frequency and angle band in a binomial Taylor's series. The binomial Taylor's series coefficients are then matched via the bivariate Padé approximation to a bivariate rational function. Using the bivariate rational function, the current is obtained at any frequency and angle within the interesting frequency and angular range, which is in turn used to calculate RCS of the target. The use of this method for extrapolation of RCS has at least two significant advantages; one being obtained RCS analytical formulas and the other being a significant decrease in the amount of time required for modeling problems with large computational domains.
When retrofitting fast methods into an existing MoM code, one might think that N/sup 2/ matrix elements must be generated limiting the speed increases possible. Recent work on sparse MoM codes for PC applications has ...
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When retrofitting fast methods into an existing MoM code, one might think that N/sup 2/ matrix elements must be generated limiting the speed increases possible. Recent work on sparse MoM codes for PC applications has reduced LU matrix factorization time to significantly less than standard matrix fill time when the number of unknowns, N, approaches 200000. This paper reports on results using methods that reconstruct the MoM matrix from a small sample of its elements. A compressed form is then created which may then be directly changed into other compressed forms. Results suggest that when problem sizes approach 500000 unknowns, matrix fill can be reduced from 100 to 10 hours on a modern PC, which is then competitive with fast solutions by sparse LU factorization or by iteration.
This paper introduces a real-time oil well monitoring system based on network computing and neural network (NN) technologies. In the system, some enterprise computing techniques such as browser/server Web mode, JMS, m...
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This paper introduces a real-time oil well monitoring system based on network computing and neural network (NN) technologies. In the system, some enterprise computing techniques such as browser/server Web mode, JMS, message-oriented middleware (MOM) and Java Applet are employed. In addition, GPRS wireless communication is used to achieve remote transmission of oil well data. This scheme makes adopts Java Applet that operates at client side (Web browser) to receive messages "pushed" by server through JMS (Java message Service). In this way, server and client are able to communicate in time so that client side can reflect the real-time oil well data and the fault diagnosis result. In remote monitoring center, the fault diagnosis station takes the responsibility for the fault detection and diagnosis of oil pumping units by means of neural networks and evolutionary computation. This solution accomplishes network share of oil well information, improves the efficiency of system development. The system has already been applied successfully to an oil field, and has got the anticipated results
The finite element method (FEM) was used to calculate the transmission coefficient of frequency selective composites with regularly or randomly distributed conductive fibers for various volume concentrations of the fi...
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The finite element method (FEM) was used to calculate the transmission coefficient of frequency selective composites with regularly or randomly distributed conductive fibers for various volume concentrations of the fibers. The transmission coefficient was also measured with a free space measurement system. The computed results are consistent with measured data. It also demonstrated that FEM is an accurate tool to predict the microwave performance of frequency selective composites, as compared to the method of moments.
The edge basis functions, which are a subset of SWG basis functions, do not have artificial volume charges and require a smaller number of unknowns. The present study establishes the accuracy of the eigenmode solution...
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The edge basis functions, which are a subset of SWG basis functions, do not have artificial volume charges and require a smaller number of unknowns. The present study establishes the accuracy of the eigenmode solution for (in)homogeneous isolated dielectric resonators (DR) obtained with the edge basis functions. Special attention is paid to integration rules for calculation of the impedance matrix
The adaptive integral method (AIM) is employed to solve the volume integral equation (VIE) for analyzing the radiation of the antenna with an arbitrarily shaped radome. The small dipole antenna elements are used as ex...
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ISBN:
(纸本)0780388836
The adaptive integral method (AIM) is employed to solve the volume integral equation (VIE) for analyzing the radiation of the antenna with an arbitrarily shaped radome. The small dipole antenna elements are used as exciting source. Modeling the radomes by tetrahedron cells, the induced volume current is determined by the AIM based on VIE. The application of AIM significantly reduces the CPU time and computer memory. Hence, the method presented in the paper can be applied to simulated electrically large sized radomes.
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