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Application of Genetic Algorithm for Identification of Elastic Moduli by Resonant Ultrasound Spectroscopy

机译:遗传算法应用谐振超声波谱识别弹性模量

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Resonant ultrasound spectroscopy (RUS) is widely used to evaluate the characteristics of small solid specimens of single crystals or anisotropic materials. The elastic moduli of the solid body can be determined by measurement of the natural frequencies exited by a pair of piezo-electronic transducer. In this paper, a numerical technique for the determination of the elastic constants in RUS testing is discussed. An alternative evaluation function for the search algorithm of the elastic moduli is employed, and genetic algorithm is applied to estimate the evaluation function in the search process. Some numerical simulations for anisotropic solid body are conducted to demonstrate the effectiveness of the present method.
机译:共振超声波光谱(RUS)广泛用于评估单晶或各向异性材料的小固体标本的特性。固体的弹性模量可以通过测量由一对压电电子换能器退出的自然频率来确定。本文讨论了用于测定RUS测试中弹性常数的数值技术。采用弹性模量的搜索算法的替代评估功能,应用遗传算法来估计搜索过程中的评估函数。进行了各向异性固体体的一些数值模拟以证明本方法的有效性。

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