Laboratoire d'Imagerie Paramétrique, UPMC Univ Paris 06, CNRS, UMR 7623, Paris, France.
J Acoust Soc Am. 2011 Nov;130(5):2654-61. doi: 10.1121/1.3641405.
The aim is to assess the nonclassical component of material nonlinearity in several classes of materials with weak, intermediate, and high nonlinear properties. In this contribution, an optimized nonlinear resonant ultrasound spectroscopy (NRUS) measuring and data processing protocol applied to small samples is described. The protocol is used to overcome the effects of environmental condition changes that take place during an experiment, and that may mask the intrinsic nonlinearity. External temperature fluctuation is identified as a primary source of measurement contamination. For instance, a variation of 0.1 °C produced a frequency variation of 0.01%, which is similar to the expected nonlinear frequency shift for weakly nonlinear materials. In order to overcome environmental effects, the reference frequency measurements are repeated before each excitation level and then used to compute nonlinear parameters. Using this approach, relative resonant frequency shifts of 10(-5) can be measured, which is below the limit of 10(-4) often considered as the limit of NRUS sensitivity under common experimental conditions. Due to enhanced sensitivity resulting from the correction procedure applied in this work, nonclassical nonlinearity in materials that before have been assumed to only be classically nonlinear in past work (steel, brass, and aluminum) is reported.
目的是评估具有弱、中和高强度非线性特性的几类材料的非经典材料非线性分量。本研究中描述了一种优化的非线性共振超声光谱(NRUS)测量和数据处理方案,适用于小样本。该方案用于克服实验过程中发生的环境条件变化的影响,这些变化可能掩盖固有非线性。外部温度波动被确定为测量污染的主要来源。例如,0.1°C 的变化会产生 0.01%的频率变化,这与弱非线性材料的预期非线性频率偏移相似。为了克服环境影响,在每个激励水平之前重复参考频率测量,然后用于计算非线性参数。使用这种方法,可以测量 10(-5)的相对共振频率偏移,低于通常认为在常见实验条件下 NRUS 灵敏度极限的 10(-4)。由于本工作中应用的校正程序提高了灵敏度,因此报告了过去被认为仅具有经典非线性的材料(钢、黄铜和铝)中的非经典非线性。