Papers by Keyword: Monte-Carlo Method

Abstract: The thermodynamic properties of nanoparticles with modulated magnetic ordering are studied by Monte-Carlo methods. Temperature dependences for main thermodynamic parameters are obtained. We present the characteristic modulated structures of nanoparticles and calculate the parameters of these structures. Modulated structures in nanoparticles are compared with macroscopic systems.

Abstract: Properties of two dimensional multiferroic with magnetic and electric order was studied on two-dimensional lattice with size 20x20. As a result of modeling was found temperature dependencies of polarization, magnetization and dielectric, magnetic and magnetoelectric susceptibilities for different values of magnetoelectric coefficients. Modeling shows influence of external fields on phase transitions through magnetoelectric effect. Magnetoelectric coupling leads to shift in temperature of phase transition.

Abstract: Based on the requirement for fatigue damage evaluation of long-span bridges, and existing research literatures, the vehicle type, vehicle weight and time duration are taken as characteristic parameters of random vehicle load. Taking the Second Nanjing Yangtze River Bridge as an example, the characteristics of traffic load are obtained by traffic investigation and the data from existing research results. In the paper the method and process for vehicle load spectrum simulation which includes data acquisition of random traffic load, statistical analysis and Monte Carlo simulation is proposed. The simulation program of random traffic flow is verified using the measured data. The proposed method can provide a reference for random traffic load simulation.

Abstract: Tolerance design plays a very important in any manufacturing process because this activity directly influences products cost and quality. In design activity the designer solve the quality problems selecting tight tolerances for components but this generates cost increasing. The practical problem is to assure the high quality characteristics using the maximum tolerances for components that influence them. The paper’s aim is to find optimal parameters setting which assure the desire value of quality characteristics using the DoE (Design of Experiments), and to find a mathematical model and a respective quality characteristic function of the parameters that it was influenced. Using the mathematical function, by imposing the desired tolerance for quality characteristic, it will be allocated the optimal tolerance for components. This tolerance allocation will be verified using Monte-Carlo method.

Abstract: In general it is difficult to obtain the results directly during process of structural reliability designing because of the complexity of the structure. It can calculate the structure reliability and failure probability effectively according to the combination of finite element method and theory of reliability. This paper introduces a method of structure reliability based on finite element method, summarizes a common method which has an important engineering application value to calculate the reliability such as using Monte-Carlo method to calculate reliability analysis combining with finite element method, recommends a common used software to reliability design and shows the process of using the software to reliability analysis.

Abstract: In this work we performed analysis of the magnetic order of nanosized ferrimagnetic particle at the temperature and magnetic field changes, using Monte-Carlo method. The calculations take into account real mechanisms of exchange and magnetocrystalline anisotropy of ferrospinels.

Abstract: This paper deals with some problems of the ceiling plate, made of the Cobiax-system. Cobiax provides a system to produce voided, biaxial, flat plate slabs as a high-quality concrete solution for large spans and slim slabs. Plastic voids in the shape of spheres or flattened spheres are contained in steel cages and put into concrete structures to create longer spans and reduce vertical loads. The presented plate is made of cobiax balls with a diameter of 27 cm located outside the area of columns. Probability analysis of Monte-Carlo method in Ansys is presented. Input parameters are changing according to Gauss or triangular distribution.

Abstract: The wheel force transducer (WFT) is used to measure dynamic wheel loads. Unlike other force sensors, WFT is rotating with the wheel. For this reason, the outputs and the inputs of the transducer are nonlinearly related, and traditional Kalman Filter is not suitable. In this paper, a new real-time filter algorithm utilizing Quadrature Kalman Filter (QKF) is proposed to solve this problem. In Quadrature Kalman Filter, Singer model is introduced to track the wheel force, and the observation function is established for WFT. The simulation results illustrate that the new filter outperforms the traditional Unscented Kalman Filter (UKF) and Extended Kalman Filter (EKF).

Abstract: With high penetration of distributed generation connected to the grid, distribution system will have some huge impacts, and system reliability calculation models and assessment methods are changing. Based on Monte-Carlo method, a heuristic reliability analysis method for distribution system with distributed generations was proposed in the paper, which focuses on the mode of distributed generation in parallel to system power supply. Functional role of distributed generation in the power distribution system failure and distributed power adapter with load strategies were analyzed in this method. Cases simulation analysis was used to verify its effectiveness.

Abstract: Thermodynamic properties of modulated magnetic ordering nanoparticles are studied by the Monte-Carlo methods. Temperature curves for main thermodynamic parameters are plotted. The availability of free surface is shown to lead to the displacement of phase transition temperatures and the complex dependency of thermodynamic parameters on a temperature. We determine the modulated ordering in nanoparicles is possible at sufficiently larger linear sizes.