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一种基于电学方法的长期木材湿度监测无损间接方法。

A Nondestructive Indirect Approach to Long-Term Wood Moisture Monitoring Based on Electrical Methods.

作者信息

Slávik Richard, Čekon Miroslav, Štefaňák Jan

机构信息

Department of Wood Science and Technology, Faculty of Forestry and Wood Technology, 613 00 Brno, Czech Republic.

Department of Physics, Faculty of Civil Engineering, Slovak University of Technology, 810 05 Bratislava, Slovakia.

出版信息

Materials (Basel). 2019 Jul 25;12(15):2373. doi: 10.3390/ma12152373.

DOI:10.3390/ma12152373
PMID:31349680
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC6695762/
Abstract

Wood has a long tradition of use as a building material due its properties and availability. However, it is very sensitive to moisture. Wood components of building structures basically require a certain level of moisture protection, and thus moisture monitoring to ensure the serviceability of such components during their whole lifespan while integrated within buildings is relevant to this area. The aim of this study is to investigate two moisture monitoring techniques promoting moisture safety in wood-based buildings (i.e., new structures, as well as renovated and protected buildings). The study is focused on the comparison of two electrical methods that can be employed for the nondestructive moisture monitoring of wood components integrated in the structures of buildings. The main principle of the two presented methods of the moisture measurement by electric resistance is based on a simple resistor-capacitor (RC) circuit system improved with ICM7555 chip and integrator circuit using TLC71 amplifier. The RC-circuit is easier to implement thanks to the digital signals of the used chip, whilst the newly presented integration method allows faster measurement at lower moisture contents. A comparative experimental campaign utilizing spruce wood samples is conducted in this relation. Based on the results obtained, both methods can be successfully applied to wood components in buildings for moisture contents above 8%.

摘要

由于木材的特性和可用性,其作为建筑材料有着悠久的使用传统。然而,它对水分非常敏感。建筑结构中的木质部件基本上需要一定程度的防潮保护,因此水分监测对于确保这些部件在整合到建筑物中后的整个使用寿命期间的适用性至关重要,这与该领域相关。本研究的目的是研究两种促进木质建筑(即新结构以及翻新和保护建筑)中水分安全的水分监测技术。该研究专注于比较两种可用于对整合在建筑物结构中的木质部件进行无损水分监测的电气方法。所介绍的两种电阻法测湿方法的主要原理基于一个简单的电阻 - 电容(RC)电路系统,该系统采用ICM7555芯片和使用TLC71放大器的积分电路进行了改进。由于所用芯片的数字信号,RC电路更易于实现,而新提出的积分方法允许在较低含水量下更快地进行测量。为此开展了一项利用云杉木样本的对比实验活动。根据所得结果,两种方法均可成功应用于建筑物中含水量高于8%的木质部件。

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本文引用的文献

1
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2
Design, analysis, and interpretation of method-comparison studies.方法比较研究的设计、分析与解读
AACN Adv Crit Care. 2008 Apr-Jun;19(2):223-34. doi: 10.1097/01.AACN.0000318125.41512.a3.
3
Measuring agreement in method comparison studies.方法比较研究中的一致性测量
Materials (Basel). 2019 Oct 3;12(19):3237. doi: 10.3390/ma12193237.
Stat Methods Med Res. 1999 Jun;8(2):135-60. doi: 10.1177/096228029900800204.
4
Statistical methods for assessing agreement between two methods of clinical measurement.评估两种临床测量方法之间一致性的统计方法。
Lancet. 1986 Feb 8;1(8476):307-10.