Estimation of moisture migration in rammed earth based on entropy theory

Fang Zhang; Fang Zhang; Xinpeng Zhao; Xinpeng Zhao; Dongsheng Wang; Nana Han; Nana Han; Zihan Yu; Zihan Yu; Xiulian Zhang; Xiulian Zhang

doi:10.1364/AO.440999

Applied Optics
Vol. 60,
Issue 31,
pp. 9837-9843
(2021)
•https://doi.org/10.1364/AO.440999

Estimation of moisture migration in rammed earth based on entropy theory

Fang Zhang, Xinpeng Zhao, Dongsheng Wang, Nana Han, Zihan Yu, and Xiulian Zhang

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Fang Zhang, Xinpeng Zhao, Dongsheng Wang, Nana Han, Zihan Yu, and Xiulian Zhang, "Estimation of moisture migration in rammed earth based on entropy theory," Appl. Opt. 60, 9837-9843 (2021)

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- Instrumentation and Measurements
Optics & Photonics Topics
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About this Article
History
- Original Manuscript: August 20, 2021
- Revised Manuscript: October 2, 2021
- Manuscript Accepted: October 7, 2021
- Published: October 27, 2021

Abstract

In the field of cultural relic protection, the migration of moisture will cause a series of adverse effects, such as disruption and crater eruption. Assessment of water migration status is the key to early warning and prevention of these problems. In an attempt for a solution, the whole process of moisture migration in rammed earth is studied by using the moisture migration initiation criterion based on entropy. We analyzed and compared the entropy change law of the infrared radiation temperature in the two main migration stages, and we made a judgment on whether the moisture state is in the steady equilibrium or in the process of dynamic migration. The results show that the moisture migration status can be identified quickly and in real time by using the moisture migration initiation criterion based on entropy. The results of this study provide a new method for judging the state of moisture migration in geotechnical engineering, especially in the field of cultural relic protection, which has very important practical significance.

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Data underlying the results presented in this paper are not publicly available at this time but may be obtained from the authors upon reasonable request.

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Temperature Sensitivity (mk)	25
Measuring precision	$\pm 1 %$ or $\pm 1 %$ of readings
Image resolution	640×512
Frame frequency (Hz)	1
Emissivity	0.92
Test distance (m)	1.50

Time Interval $t_{i} - t_{0} / s$	2	4	6	8
Entropy value $I_{i} (t_{i} - t_{0})$	1.229469	1.230921	1.232381	1.234084
Entropy ratio $\frac{I_{i + 1} (t_{i + 1} - t_{0})}{I_{i} (t_{i} - t_{0})}$	/	1.001181	1.001186	1.001381

Time Interval $t_{i} - t_{0} / s$	6	12	18	24
Entropy value $I_{i} (t_{i} - t_{0})$	1.232381	1.236854	1.241312	1.251254
Entropy ratio $\frac{I_{i + 1} (t_{i + 1} - t_{0})}{I_{i} (t_{i} - t_{0})}$	/	1.003630	1.003604	1.008009

Time Interval $t_{i} - t_{0} / s$	2	4	6	8
Entropy value $I_{i} (t_{i} - t_{0})$	1.265003	1.266068	1.267152	1.268263
Entropy ratio $\frac{I_{i + 1} (t_{i + 1} - t_{0})}{I_{i} (t_{i} - t_{0})}$	/	1.000842	1.000856	1.000876

Time Interval $t_{i} - t_{0} / s$	10	20	30
Entropy value $I_{i} (t_{i} - t_{0})$	1.269406	1.272418	1.285605
Entropy ratio $\frac{I_{i + 1} (t_{i + 1} - t_{0})}{I_{i} (t_{i} - t_{0})}$	/	1.002373	1.010364

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Applied Optics