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Numerical simulation of the localization of elastic waves in two- and three-dimensional heterogeneous media

机译:两相弹性波定位的数值模拟   三维异构媒体

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摘要

Localization of elastic waves in two-dimensional (2D) and three-dimensional(3D) media with random distributions of the Lam\'e coefficients (the shear andbulk moduli) is studied, using extensive numerical simulations. We compute thefrequency-dependence of the minimum positive Lyapunov exponent $\gamma$ (theinverse of the localization length) using the transfer-matrix method, thedensity of states utilizing the force-oscillator method, and the energy-levelstatistics of the media. The results indicate that all the states may belocalized in the 2D media, up to the disorder width and the smallestfrequencies considered, although the numerical results also hint at thepossibility that there might a small range of the allowed frequencies overwhich a mobility edge might exist. In the 3D media, however, most of the statesare extended, with only a small part of the spectrum in the upper band tailthat contains localized states, even if the Lam\'e coefficients are randomlydistributed. Thus, the 3D heterogeneous media still possess a mobility edge. Ifboth Lam\'e coefficients vary spatially in the 3D medium, the localizationlength $\Lambda$ follows a power law near the mobility edge,$\Lambda\sim(\Omega-\Omega_c)^{-\nu}$, where $\Omega_c$ is the criticalfrequency. The numerical simulation yields, $\nu \simeq 1.89\pm 0.17$,significantly larger than the numerical estimate, $\nu\simeq 1.57\pm 0.01$, and$\nu=3/2$, which was recently derived by a semiclassical theory for the 3DAnderson model of electron localization...
机译:利用大量的数值模拟,研究了弹性波在具有Lam'e系数(剪切模和本体模量)的随机分布的二维(2D)和三维(3D)介质中的定位。我们使用传递矩阵法,利用力振子法的状态密度以及介质的能级统计来计算最小正Lyapunov指数$ \ gamma $(局部化长度的倒数)的频率相关性。结果表明,所有状态都可以定位在2D介质中,直到所考虑的无序宽度和最小频率,尽管数值结果还暗示可能存在小范围的允许频率,在该范围内可能存在移动性边缘。但是,在3D媒体中,即使Lam'e系数是随机分布的,大多数状态也会扩展,只有少数频谱位于包含局部状态的高频带尾部。因此,3D异构媒体仍然具有移动性优势。如果在3D介质中Lam'e系数在空间上均发生变化,则本地化长度$ \ Lambda $遵循移动性边缘附近的幂定律,$ \ Lambda \ sim(\ Omega- \ Omega_c)^ {-\ nu} $,其中$ \ Omega_c $是临界频率。数值模拟收益$ \ nu \ simeq 1.89 \ pm 0.17 $,大大大于数值估计$ \ nu \ simeq 1.57 \ pm 0.01 $和$ \ nu = 3/2 $,这是最近由电子本地化3DAnderson模型的半经典理论...

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