Towards an Automatic Tool for Multi-scale Model Derivation Illustrated with a Micro-mirror Array

W. Belkhir, N. Ratier, D. Nguyen, Bin Yang, M. Lenczner, F. Zamkotsian, Horatiu Cirstea
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引用次数: 5

Abstract

This paper reports recent advances in the development of a symbolic asymptotic modeling software package, called MEMSALab, which will be used for automatic generation of asymptotic models for arrays of micro and nanosystems. More precisely, a model is a partial differential equation and an asymptotic method approximate it by another partial differential equation which can be numerically simulated in a reasonable time. The challenge consists in taking into account a wide range of different physical features and geometries e.g. thin structures, periodic structures, multiple nested scales etc. The main purpose of this software is to construct models incrementally so that model features can be included step by step. This idea, conceptualized under the name "by-extension-combination", is presented for the first time. A user friendly language recently introduced is also shortly discussed. We illustrate the mathematical operations that need to be implemented in MEMSALab by an example of an asymptotic model for the stationary heat equation in a Micro-Mirror Array developed for astrophysics.
一种以微镜阵列为例的多尺度模型自动推导工具
本文报道了符号渐近建模软件包MEMSALab的最新进展,该软件包将用于微纳米系统阵列的渐近模型的自动生成。更确切地说,一个模型是一个偏微分方程,而渐近方法是用另一个偏微分方程来近似它,这个偏微分方程可以在合理的时间内进行数值模拟。挑战在于考虑到各种不同的物理特征和几何形状,例如薄结构,周期结构,多个嵌套尺度等。该软件的主要目的是增量地构建模型,以便逐步包含模型特征。这是第一次提出以“按扩展组合”的名称概念化的想法。本文还简要讨论了最近引入的一种用户友好的语言。我们通过为天体物理学开发的微镜阵列中固定热方程的渐近模型的例子来说明需要在MEMSALab中实现的数学运算。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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