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Determination of Relaxation and Retardation Spectrum from Modulus of Complex Frequency-Domain Material functions

机译:从复频域材料函数模量确定弛豫谱和迟滞谱

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The paper is devoted to improving and simplifying determination of the relaxation and retardation spectrum (RRS). A concept is postulated that determination of RRS from some specially selected material responses differing from the explicitly defined material functions, such as the real or imaginary parts of complex compliance and complex modulus, may improve the recovery performance at the price of better measurability of these specific material responses. As one of possible implementations of the postulated concept, we propose to recover RRS from the modulus (absolute value) of a complex frequency-domain (dynamic) material function, which, compared to the real or imaginary part, can be more accurately and easy acquired by measuring the amplitudes of harmonic responses of a material. It is demonstrated that RRS recovery problem from the modulus of a complex frequency-domain material function may be interpreted as a filtering task with a diffuse magnitude response bounded by the responses of the Mellin deconvolution filters corresponding to the minimum (zero) and maximum imaginary parts according to the Kramers-Kronig relation. A discrete RRS recovery filter operating with geometrically sampled data is constructed for recovering RRS from the modulus and the simulation results are presented. A measurement system is proposed implementing RRS recovery through the modulus of a complex frequency-domain material function, where a material under test is subjected to multi-harmonic excitation at geometrically spaced frequencies with subsequent measuring the amplitudes of multi-harmonic responses and processing them by a discrete RRS recovery filter.
机译:本文致力于改善和简化弛豫谱和延迟谱(RRS)的确定。提出了一个概念,即根据某些与明确定义的材料功能不同的,特别选择的材料响应来确定RRS,例如复杂依从性和复杂模量的实部或虚部,可能会以这些特定指标更好的可测量性为代价来提高回收性能。物质回应。作为假定概念的可能实现之一,我们建议从复杂频域(动态)材料函数的模量(绝对值)中恢复RRS,与实部或虚部相比,该函数可以更准确,更容易通过测量材料谐波响应的幅度获得。结果表明,来自复频域材料函数模量的RRS恢复问题可以解释为具有弥散量级响应的滤波任务,该响应的响应范围由对应于最小(零)和最大虚部的梅林解卷积滤波器的响应限定根据Kramers-Kronig关系。构造了具有几何采样数据的离散RRS恢复滤波器,用于从模量恢复RRS,并给出了仿真结果。提出了一种通过复杂频域材料函数的模量实现RRS恢复的测量系统,其中,被测材料在几何间隔的频率下经受多次谐波激发,随后测量多次谐波响应的幅度并通过以下方法进行处理离散RRS恢复滤波器。

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