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Distributed-elementary-source self-regularized dyadic Green#039;s functions for modeling the massloading effect in micro-acoustic devices

机译:分布式基本源自正则化并矢格林函数,用于模拟微声学装置中的质量加载效应

摘要

A Surface-Integral-Modeling technique has been developed to solve time-harmonic boundary value problems in acoustics. The thesis focuses on describing the methodology and testing the consistency of the method. The technique establishes and utilizes the concept of Distributed-Elementary-Source Self-regularized Dyadic Green’s functions in order to analyse fully-anisotropic elastic media used in micro-acoustic devices. A given device geometry is divided into rectangular subsections and subsequently detached from the original solid body. The individual subsections are regarded as stand-alone problems and characterized independently. Consecutively, a LIBRARY of pre-calculated Dyadic Green’s Functions is generated for each isolated subsection. The content of the LIBRARY along with the proposed Sufficiency principle and Exhaustion principle, fully suffice to solve arbitrary physically-realizable boundary conditions for a given anisotropic device. A major advantage of pre-calculating Green’s functions is the ability to reduce the usage of computational resources by recycling accurately pre-computed numerical data. An additional data compression has been achieved by evaluating the Green’s functions and their spatial derivatives on bounding surfaces of the introduced isolated subsections. The underlying ideas have been explained in terms of four test examples in two- and three-dimensions. The computed results are verified against the results obtained by commercially available Finite Element Simulation package.
机译:已经开发了表面积分建模技术来解决声学中的时间谐波边界值问题。本文着重描述了方法论并检验了方法的一致性。该技术建立并利用了分布式基元自调节Dyadic Green函数的概念,以分析用于微声学设备的完全各向异性弹性介质。将给定的设备几何形状划分为多个矩形部分,然后将其与原始实体分离。各个小节被视为独立问题,并具有独立特征。连续为每个孤立的小节生成一个预先计算的Dyadic Green函数的库。 LIBRARY的内容以及提出的充分性原则和穷竭性原则,足以解决给定各向异性设备的任意物理可实现的边界条件。预先计算Green函数的主要优点是能够通过准确地循环利用预先计算的数值数据来减少计算资源的使用。通过评估Green功能及其在引入的孤立小节的边界面上的空间导数,可以实现额外的数据压缩。基本概念已通过二维和三维的四个测试示例进行了解释。将计算结果与通过商用有限元模拟软件包获得的结果进行验证。

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    Vagh H;

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  • 年度 2011
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