Evaluation method of grotto rock mass deterioration based on infrared thermography
文献类型:期刊论文
作者 | Bao, Han1,4,6; Lv, Hongtao6; Lan, Hengxing2,3; Liu, Changqing6; Li, Li5; Chen, Weichang5; Liu, Jianhui5; Liu, Shijie3 |
刊名 | JOURNAL OF CULTURAL HERITAGE
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出版日期 | 2024-11-01 |
卷号 | 70页码:323-334 |
关键词 | Cultural heritage Grotto rock mass Infrared thermography TOPSIS Deterioration evaluation |
ISSN号 | 1296-2074 |
DOI | 10.1016/j.culher.2024.10.004 |
产权排序 | 5 |
英文摘要 | The deterioration evaluation of grotto rock mass is an important foundation for its protection and reinforcement. In this study, the thermal effusivity and crack parameters of rock mass were obtained using infrared thermography (IRT), and a set of index system for the deterioration evaluation of rock mass was established. Based on the comprehensive weighting method and improved technique for order preference by similarity to ideal solution (TOPSIS), the evaluation method of grotto rock mass deterioration based on infrared thermography (EGD-IRT) was constructed. This method quantifies and classifies the deterioration level of rock mass using the deterioration index, which was validated and applied. The results indicate that the deterioration index of grotto rock mass can comprehensively reflect the damage to the internal structure and loss of external material of rock mass, and it is consistent with the comprehensive evaluation result of P-wave velocity and mass. Powdering, hollowing and cracks are the main reasons for the spatial heterogeneity distribution of the deterioration index of grotto rock mass. Among them, the cracks generally control the deterioration zoning of rock mass, with a negative correlation existing between the bulk density of cracks and the average deterioration index in different regions. The EGD-IRT can comprehensively analyze the deterioration status of rock mass from both the overall and local levels, thus determining the deterioration grade and unstable parts of grotto rock mass. The results of this study provide valuable guidance for the conservation of grotto temples. (c) 2024 Elsevier Masson SAS. All rights are reserved, including those for text and data mining, AI training, and similar technologies. |
WOS关键词 | CLASSIFICATION ; INSTABILITY ; ROUGHNESS ; STRENGTH ; MODEL |
资助项目 | National Natural Science Foundation of China[42177142] ; National Natural Science Foundation of China[41927806] ; National Natural Science Foundation of China[42041006] ; Fundamental Research Funds for the Central Universities , CHD[300102212213] |
WOS研究方向 | Archaeology ; Art ; Chemistry ; Geology ; Materials Science ; Spectroscopy |
语种 | 英语 |
WOS记录号 | WOS:001344502000001 |
出版者 | ELSEVIER FRANCE-EDITIONS SCIENTIFIQUES MEDICALES ELSEVIER |
资助机构 | National Natural Science Foundation of China ; Fundamental Research Funds for the Central Universities , CHD |
源URL | [http://ir.igsnrr.ac.cn/handle/311030/210772] ![]() |
专题 | 资源与环境信息系统国家重点实验室_外文论文 |
通讯作者 | Bao, Han; Lv, Hongtao |
作者单位 | 1.State Key Lab Loess Sci Inpreparat, Xian 710054, Shaanxi, Peoples R China 2.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, State Key Lab Resources & Environm Informat Syst, Beijing 100101, Peoples R China 3.Changan Univ, Sch Geol Engn & Geomat, Xian 710054, Shaanxi, Peoples R China 4.Xian Key Lab Geotech Engn Green & Intelligent Tran, Xian 710064, Shaanxi, Peoples R China 5.Chinese Acad Cultural Heritage, Beijing 100029, Peoples R China 6.Changan Univ, Sch Highway, Middle Sect Naner Huan Rd, Xian 710064, Shaanxi, Peoples R China |
推荐引用方式 GB/T 7714 | Bao, Han,Lv, Hongtao,Lan, Hengxing,et al. Evaluation method of grotto rock mass deterioration based on infrared thermography[J]. JOURNAL OF CULTURAL HERITAGE,2024,70:323-334. |
APA | Bao, Han.,Lv, Hongtao.,Lan, Hengxing.,Liu, Changqing.,Li, Li.,...&Liu, Shijie.(2024).Evaluation method of grotto rock mass deterioration based on infrared thermography.JOURNAL OF CULTURAL HERITAGE,70,323-334. |
MLA | Bao, Han,et al."Evaluation method of grotto rock mass deterioration based on infrared thermography".JOURNAL OF CULTURAL HERITAGE 70(2024):323-334. |
入库方式: OAI收割
来源:地理科学与资源研究所
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