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Cluster Statistical Thermodynamics (CST) - To Efficiently Calculate Quasi-Static Deformation at Finite Temperature Based on Molecular Potential

机译:簇统计热力学(CST) - 基于分子势的有限温度有效地计算准静态变形

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摘要

For quasi-static deformations in engineering practice, molecular dynamics (MD) simulation requires computation resources that are not affordable even with ever-increasing computing power. In order to overcome this weakness, we developed a new method called cluster statistical thermodynamics (CST). By taking the advantage of statistical thermodynamics and adopting finite-element interpolation, the new approach can not only simulate quasi-static deformation but have very high computing efficiency. The new method is based on molecular potentials as MD does, but statistical thermodynamics help us greatly reduce the tedious calculation of thermal fluctuations of molecules. Therefore, the new method appears to be superior to MD in the simulations of quasi-static deformation. Especially CST works much more efficiently than MD with much less storage space and CPU time. In this paper, we illustrate the new methodology by means of some examples of two-dimensional quasi-static tensile process at 300 KAPPA. It is found that the results obtained with CST are in good agreement with those obtained by fully atomistic simulations and CST is 600 times faster than MD. Hence, the new method seems to be a very efficient and promising approach to numerical simulations of solid deformations under quasi-static loadings and at finite temperatures, based on molecular potentials.
机译:对于工程实践中的准静态变形,即使在不断增长的计算能力也需要计算资源,这些计算资源不能实惠。为了克服这种弱点,我们开发了一种称为集群统计热力学(CST)的新方法。通过采取统计热力学和采用有限元插值的优势,新方法不仅可以模拟准静态变形,而且具有非常高的计算效率。这种新方法是基于分子势为MD的做法,但统计热力学帮助我们大大降低了分子的热波动的繁琐计算。因此,在准静态变形的模拟中,新方法似乎优于MD。特别是CST比MD更有效地工作,存储空间和CPU时间更少。在本文中,我们通过300 kappa的二维准静态拉伸过程的一些示例说明了新方法。结果发现,与CST获得的结果与通过完全原子模拟获得的结果良好,CST比MD快600倍。因此,该新方法似乎是一个非常有效的和有前途的方法,以下准静态载荷固体变形数值模拟和在有限的温度下,基于分子的电势。

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