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ADAPTIVE METHODS FOR NON - LINEAR EMPIRICAL SIMILITUDE METHOD

机译:非线性经验模拟方法的自适应方法。

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Several problems in engineering realm pose modeling and simulation difficulty due to severe non - linear behavior and debilitating singular or stiff conditions that act as additional impediments. In many such instances advanced numerical schemes are employed to either relax or simplify the PDE that defines the physical process to obtain reasonable output from the simulation. Digressing from this traditional approach, we present an experimental similitude method in this paper to analyze non - linear systems. Combined with the use of original mapping algorithms, we discuss the benefits of empirical similarity techniques and present a heat transfer example for exposition.
机译:由于严重的非线性行为以及使额外的障碍变得脆弱的奇异或僵硬的条件,工程领域中的一些问题给建模和仿真带来了困难。在许多这样的情况下,采用先进的数值方案来放松或简化定义物理过程的PDE,以便从模拟中获得合理的输出。与传统方法不同,本文提出了一种实验相似性方法来分析非线性系统。结合使用原始映射算法,我们讨论了经验相似技术的好处,并提出了一个传热的例子进行阐述。

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