Integrated GPR and unilateral NMR approach to estimate water content in a porous material

C. Ferrara, P. M. Barone, S. Lauro, D. Capitani, V. Di Tullio, E. Mattei, N. Proietti, E. Pettinelli
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引用次数: 2

Abstract

In the present paper we combined two different non-destructive techniques to detect the water content spatial variation in a porous material. The main goal of this work was to verify the ability of radar “early time” signals, using the proton density values measured with the unilateral NMR (Nuclear Magnetic Resonance) technique, in order to detect the spatial distribution of water in the subsurface of a concrete slab. This site was chosen because it was the best compromise between an uniform, porous and slow drainage material and the antenna-coupling, affected only by the surface permittivity variations due to the change in water content. The GPR (Ground Penetrating Radar) survey has been conducted using a bistatic radar unit (Sensors & Software, Inc) operating at 1000 MHz; on the other hand, NMR data were collected using portable unilateral NMR operating at 16.3 MHz. The results obtained in this paper confirm that the “early time” radar signal and the NMR response can be applied to estimate some physical properties of both natural and man-made materials. In fact, the data show a matching pattern of the water distribution in the shallow part of the slab measured by GPR and NMR, and a very high correlation coefficient between the radar signal amplitude and the NMR signal integral. Finally, the results highlight the importance of this new combined approach to evaluate different physical parameters at the same time.
综合探地雷达和单边核磁共振方法估算多孔材料中的含水量
在本文中,我们结合了两种不同的非破坏性技术来检测多孔材料中含水量的空间变化。这项工作的主要目标是验证雷达“早期”信号的能力,使用单侧核磁共振技术测量质子密度值,以检测混凝土板地下水的空间分布。之所以选择这个地点,是因为它是均匀、多孔和缓慢排水材料与天线耦合之间的最佳折衷,仅受含水量变化引起的表面介电常数变化的影响。GPR(探地雷达)测量使用双基地雷达单元(Sensors & Software, Inc .)进行,工作频率为1000 MHz;另一方面,采用工作频率为16.3 MHz的便携式单侧核磁共振仪采集NMR数据。本文的结果证实了“早期”雷达信号和核磁共振响应可以用于估计天然和人造材料的某些物理性质。实际上,探地雷达与核磁共振测得的板状体浅部水分布具有较好的匹配规律,雷达信号幅值与核磁共振信号积分具有很高的相关系数。最后,结果强调了这种新的组合方法同时评估不同物理参数的重要性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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