|
|
|
|
|
|
Experimental Study on the Influence of the Radiation Background on the Variation in Thermal Infrared Radiance of Loaded Rock |
HUANG Jian-wei1,2, LIU Shan-jun1,2*, XU Zhong-yin1,2, MA Chun-yan1,2, WU Li-xin3 |
1. Key Laboratory of Ministry of Education on Safe Mining of Deep Metal Mines, Northeastern University, Shenyang 110819, China
2. School of Resources and Civil Engineering, Northeastern University, Shenyang 110819, China
3. School of Geosciences and Info-Physics, Central South University, Changsha 410083, China |
|
|
Abstract Previous studies have shown that the thermal infrared radiation of rock surface changes corresponding to the stress in the rock loading process. The effective extraction of radiation variation information depends on the influence from background radiation. Thus, this study aims to analyze the variety of thermal infrared spectrum for loaded rock under different experimental conditions. The thermal infrared radiation experiments of loaded granite were carried out in both indoor and outdoor conditions. The relationship between radiation variation and stress under different experimental condition was investigated, and the characteristic of radiation information caused by stress was analyzed. Furthermore, we compared the sensitive waveband to stress in thermal infrared detection under indoor and outdoor conditions. The results showed that the radiation background had a significant effect on the radiation changes of loaded rock. It was found that the infrared radiation changed more significantly, and correlated more closely to stress in the outdoor condition, while the sensitive waveband is wider due to the relatively weak background radiation. It is more accurately and reasonably for detecting the thermal infrared radiation of loading rock in the outdoor condition. The 8.0~11.8 μm wave range can be considered as the effective waveband for granite stress monitoring using thermal infrared remote sensing technology.
|
Received: 2016-10-06
Accepted: 2017-02-15
|
|
Corresponding Authors:
LIU Shan-jun
E-mail: liusjdr@126.com
|
|
[1] Wu L X, Liu S J, Wu Y H, et al. Int. J. Rock Mech. & Min. Sci., 2006, 43(3): 473.
[2] Wu L X, Liu S J, Wu Y H, et al. Int. J. Rock Mech. & Min. Sci., 2006, 43(3): 483.
[3] CUI Cheng-yu, DENG Ming-de, GENG Nai-guang(崔承禹, 邓明德, 耿乃光). Chinese Science Bulletin(科学通报), 1993, 38(16): 538.
[4] Freund F T, Takeuchi A, Lau B W S, et al. eEarth, 2007, 2: 7.
[5] Freund F T. Journal of Asian Earth Sciences, 2011, 41: 383.
[6] XU Zhong-yin, LIU Shan-jun, WU Li-xin, et al(徐忠印, 刘善军, 吴立新, 等). J. Infrared Millim. Waves(红外与毫米波学报), 2013, 32(1), 44.
[7] Salvaggio C, Miller C J. Proc SPIE, Algorithms for Multispectral. Hyperspectral, and Ultraspectral Imagery Ⅶ, 2001, 4381: 539.
[8] Kirkland L E, Herr K C, Keim E R, et al. Remote Sensing of Environment, 2002, 80(3): 447.
[9] Baldridge A M, Christensen P R. Applied Spectroscopy, 2009, 63(6): 678.
[10] Mathew G, Nair A, Gundu R T K, et al. J. Earth Syst. Sci., 2009, 118(4): 391.
[11] ZHANG Jian-qi, FANG Xiao-ping(张建奇, 方小平). Infrared Physics(红外物理). Xi’an: XiDian University Press(西安: 西安电子科技大学出版社), 2004.
[12] Mousivand A, Menenti M, Gorte B, et al. Remote Sensing of Environment, 2014, 145: 131.
[13] Araújo A. Measurement, 2016, 94: 316.
[14] Araújo A. Infrared Physics & Technology, 2016, 76: 365. |
[1] |
ZHANG Qi-yan1, YANG Jie2, 3, LI Jian-guo1*, SHI Wei-xin1, GAO Peng-xin1. Research on Quantitative Identification of Rock Color Using
Spectral Technology[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(06): 1905-1911. |
[2] |
LI Chun-qiang1, 2, GAO Yong-gang1, 2, XU Han-qiu1, 2*. Cross Comparison Between Landsat New Land Surface Temperature
Product and the Corresponding MODIS Product[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(03): 940-948. |
[3] |
FU Ming-hai1, 2, DAI Jing-jing1*, WANG Xian-guang3, HU Zheng-hua4, PENG Bo1, WAN Xin3, ZHANG Zhong-xue2, ZHAO Long-xian1, 2. A Study on the Thermal Infrared Spectroscopy Characteristics of the Skarn Minerals in Zhuxi Tungsten Deposit, Jiangxi Province[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(01): 70-77. |
[4] |
ZHAO Jian-ming, YANG Chang-bao, HAN Li-guo*, ZHU Meng-yao. The Inversion of Muscovite Content Based on Spectral Absorption
Characteristics of Rocks[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(01): 220-224. |
[5] |
WANG Dong-sheng1, WANG Hai-long1, 2, ZHANG Fang1, 3*, HAN Lin-fang1, 3, LI Yun1. Near-Infrared Spectral Characteristics of Sandstone and Inversion of Water Content[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2022, 42(11): 3368-3372. |
[6] |
HOU Ya-ru, LU Ji-long*, FAN Yu-chao, Abudusalamu·KADIER, TANG Xiao-dan, WEI Qiao-qiao, GUO Jin-ke, ZHAO Wei. Uncertainty Evaluation and Method Improvement of Determination of Copper, Lead, and Zinc in Rocks by Atomic Absorption Spectrometry[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2022, 42(07): 2101-2106. |
[7] |
ZHANG Xiu-lian1, 2, ZHANG Fang1, 2*, ZHOU Nuan1, 2, ZHANG Jing-jie1,2, LIU Wen-fang3, ZHANG Shuai1, 2, YANG Xiao-jie1, 2. Near-Infrared Spectral Feature Selection of Water-Bearing Rocks Based on Mutual Information[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2021, 41(07): 2028-2035. |
[8] |
LIU Ting-yue1, DAI Jing-jing2*, TIAN Shu-fang1. A Neural Network Recognition Method for Garnets Subclass Based on Hyper Spectroscopy[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2021, 41(06): 1758-1763. |
[9] |
LI Tian-zi2, LIU Shan-jun1*, SONG Liang3, WANG Dong1, HUANG Jian-wei4, YU Mo-li1. Experimental Study on the Effect of Observation Angle on Thermal Infrared Spectral Unmixing of Rock[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2021, 41(06): 1769-1774. |
[10] |
WANG Jin-shuang1, FU Ying-ying1, FU Min-rui1, GAO Bin1*, ZHENG Da-wei1, CHANG Yu2. Study on Erythrocyte Sublethal Damage Under Different Shear Stress Based on Raman Spectroscopy[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2021, 41(06): 1811-1815. |
[11] |
MIAO Xin-yang1,2,3, LIU Xue-cong1,3, CHEN Meng-xi3, CHEN Si-tong3, ZHANG Shan-zhe1, LU Wan-ting3, PENG Xue3, ZHAN Hong-lei2,3, ZHU Ming-da1, ZHAO Kun1,2,3*. Terahertz Spectral Characteristics of Rocks With Different Lithologies[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2021, 41(04): 1314-1319. |
[12] |
HE Jin-xin1, REN Xiao-yu1, CHEN Sheng-bo2*, XIONG Yue1, XIAO Zhi-qiang1, ZHOU Hai1. Automatic Classification of Rock Spectral Features Based on Fusion Learning Model[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2021, 41(01): 141-144. |
[13] |
XU Ji-kun1, LI Tian-zi1, 2*, REN Yu-juan1. Experimental Study on the Effect of Roughness on the Inversion of SiO2 Content in Iron Ore by the Thermal Infrared Spectrum[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2020, 40(07): 2153-2158. |
[14] |
ZHANG Fang1,2, HU Zuo-le1,2, WANG Dong-sheng1,2, LIU Yu-meng1,2, XIE Yun-xin1,2, ZHUO Hui-hui2, HE Man-chao1*. Comparative Analysis of Near-Infrared Spectral Characteristics of Water-Bearing Rocks with Different Lithologies[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2020, 40(03): 971-979. |
[15] |
ZHANG Fang1, 2, HU Zuo-le1, 2, HOU Xin-li3, ZHANG Xiu-lian1, 2, FU Cheng-gong1, 2, LI Ying-jun1, 4, HE Man-chao1. Feature Selection of Near-Infrared Spectra of Rock with Different Water Contents[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2019, 39(11): 3395-3402. |
|
|
|
|