利用纳米层次结构创造具有期望性能的新材料的数学建模算法

O. Hachay, A. Khachay, O. Khachay
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引用次数: 1

摘要

在宏观层面和原子层面之间存在着巨大但仍知之甚少的差距,在宏观层面上,连续介质的连续体理论和计算与设计的工程方法得到了很好的发展,而原子则服从于量子力学定律,物质结构存在着广泛的细观层次。在这个水平上,以前前所未有的产品和技术可以被人为创造。纳米技术是一种全新的技术策略:它以完全相反的方式创造物体——大物体是由小物体创造出来的[1]。我们开发了一种新的方法,用于建模具有多种物理和机械分层结构的层状块体弹性介质的声学监测[2]。在二维积分微分方程的基础上,提出了一个迭代过程来求解l,m,s阶三阶包含的直接问题。夹杂物的分级程度由其等级的值决定,等级可能不同,而第一个等级与原子结构有关,随后的等级与几何尺寸的增加有关,几何尺寸包括较低等级和尺寸的夹杂物。分级包裹体位于不同的层中,一层接一层:上部包裹体异常塑性,第二层异常弹性,第三层异常致密。对于所有三个分级夹杂物,每个级别的夹杂物的填充程度是不同的。建模是从较小的尺寸到较大的夹杂物;结果,可以根据声学监测数据来确定所形成材料的必要参数。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Mathematical Modeling Algorithms for Creating New Materials with Desired Properties Using Nano-Hierarchical Structures
In the enormous and still poorly mastered gap between the macro level, where well developed continuum theories of continuous media and engineering methods of calculation and design operate, and atomic, subordinate to the laws of quantum mechanics, there is an extensive meso-hierarchical level of the structure of matter. At this level unprecedented previously products and technologies can be artificially created. Nano technology is a qualitatively new strategy in technology: it creates objects in exactly the opposite way—large objects are created from small ones [1]. We have developed a new method for modeling acoustic monitoring of a layered-block elastic medium with several inclusions of various physical and mechanical hierarchical structures [2]. An iterative process is developed for solving the direct problem for the case of three hierarchical inclusions of l, m, s-th ranks based on the use of 2D integro-differential equations. The degree of hierarchy of inclusions is determined by the values of their ranks, which may be different, while the first rank is associated with the atomic structure, the following ranks are associated with increasing geometric sizes, which contain inclusions of lower ranks and sizes. Hierarchical inclusions are located in different layers one above the other: the upper one is abnormally plastic, the second is abnormally elastic and the third is abnormally dense. The degree of filling with inclusions of each rank for all three hierarchical inclusions is different. Modeling is carried out from smaller sizes to large inclusions; as a result, it becomes possible to determine the necessary parameters of the formed material from acoustic monitoring data.
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