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Computation speedup in the dynamic simulation of MEMS by macromodels

机译:宏模型在MEMS动态仿真中的计算加速

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A doubly clamped microbeam actuated by electrostatic force with squeezed gas film damping is a well-known and standard micro-device in microelectromechanical system (MEMS) for many researchers to demonstrate how reduced-order dynamic macromodel is an effective way to faithfully capture the device behaviors. However it still takes time to directly recompute the time-dependant nonlinear terms in macromodels which are generated by a proper orthogonal decomposition (POD) method with Galerkin procedure at every time step during the macromodel simulation. This paper proposes two methods for speeding up the computation of macromodel simulations. In the first method, the computation speedup is achieved based on the concept of precomputation upon the basis functions are available. In the second method, cubic splines approximation is used to interpolate the basis functions and their first and second derivatives, and spatial integration is performed by application of the Gaussian quadrature. Numerical results show both methods could enhance the efficiency of the macromodel simulation compared with our previous computation results.
机译:由静电力和压缩气膜阻尼驱动的双夹持微束是微机电系统(MEMS)中众所周知的标准微设备,对许多研究人员而言,它表明降序动态宏模型如何有效地忠实捕获设备行为。但是,在宏模型仿真过程中的每个时间步上,都需要用时间正确地重新计算宏模型中与时间相关的非线性项,这些非线性项是通过适当的正交分解(POD)方法用Galerkin程序生成的。本文提出了两种加快宏模型仿真计算速度的方法。在第一种方法中,基于可用基础函数的预计算的概念来实现计算速度的提高。在第二种方法中,三次样条曲线逼近用于对基函数及其一阶和二阶导数进行插值,并通过应用高斯正交函数进行空间积分。数值结果表明,与我们先前的计算结果相比,这两种方法都可以提高宏模型仿真的效率。

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