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Numerical calculation of free boundary equilibrium via meshfree method and its application in Alborz tokamak

机译:基于无网格法的自由边界平衡数值计算及其在Alborz托卡马克中的应用

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In the present study, the calculation of free boundary axisymmetric tokamak equilibrium has been presented via the meshfree numerical method. This method of calculation has not been used previously for free boundary condition. As a practical application of the proposed numerical method two approaches of Alborz plasma equilibrium calculations were taken into account. First, the design of the poloidal field coil system has been carried out with consideration of the limiter. Second, the calculation has been developed by considering the divertor configuration. Considering the absence of analytical solution for free boundary condition, the validity of the code was examined by three different methods. The convergence of this method was checked by error calculation. Also the mathematical numerical correctness and accuracy were investigated by a comparison with the finite difference method and the uniqueness of a solution was confirmed by the independence on variations of the computational domain. The decrement trend in errors behavior was observed and the error for near circular configuration was reached less than 1 e-4 in a few iterations. Moreover, the minimum Root Mean Squared (RMS) error achieved by the MLS method was 5.4826e-6 that correspond to the divertor configuration. The good results obtained from the verification process prove that the methodology applied here is reliable for tokamak equilibrium calculations and can be used as an effective tool in future studies. (C) 2016 Elsevier B.V. All rights reserved.
机译:在本研究中,通过无网格数值方法提出了自由边界轴对称托卡马克平衡的计算。这种计算方法以前尚未用于自由边界条件。作为提出的数值方法的实际应用,考虑了两种Alborz等离子体平衡计算方法。首先,在考虑限幅器的情况下进行了极向场线圈系统的设计。其次,通过考虑分压器的配置来进行计算。考虑到没有自由边界条件的解析解,通过三种不同的方法检查了代码的有效性。通过误差计算检查了该方法的收敛性。还通过与有限差分法进行比较研究了数学上的数值正确性和准确性,并且通过计算域变化的独立性确定了解决方案的唯一性。观察到误差行为的减少趋势,并且在几次迭代中,接近圆形配置的误差小于1 e-4。此外,通过MLS方法获得的最小均方根(RMS)误差为5.4826e-6,对应于偏滤器配置。从验证过程中获得的良好结果证明,此处使用的方法对于托卡马克平衡计算是可靠的,并且可以用作未来研究中的有效工具。 (C)2016 Elsevier B.V.保留所有权利。

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