中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Stress tensor similarity index based on Euclidean distance for numerical back analysis of in situ stress fields

文献类型:期刊论文

作者Xu, Huaisheng; Xu, Dingping; Li, Shaojun; Zheng, Minzong; Huang, Xiang; Chen, Bingrui; Feng, Guangliang; Xu, Yu
刊名COMPUTERS AND GEOTECHNICS
出版日期2023-07-01
卷号159
关键词In situ stress field Back analysis Stress tensor Similarity Euclidean distance Euler angle
ISSN号0266-352X
英文摘要Evaluating the similarity between measured and predicted stress states is critical for the numerical back analysis of three-dimensional in situ stress fields. However, conventional nontensor approaches process stress compo-nents or the magnitude and orientation of principal stresses separately, which may yield contradictory results among multiple indices. To address this issue, we propose the Euclidean distance similarity (EDS), which is a dimensionless single index based on spatial distance. As a case study, EDS was applied to a site with complex geological conditions for verification. EDS can be derived in the form of stress component or principal stress. EDS exhibited a positive correlation with the initial difference and magnitude error of principal stresses and changed periodically with the Euler angle of rotation around the principal stress. Moreover, three magnitude errors and three Euler angles had different effects on EDS. Finally, EDS can be classified into five levels (i.e., extremely high, high, normal, low, and very low) according to the magnitude errors of principal stresses and Euler angles, where the normal level is recommended as a general error standard. The thresholds of EDS differ according to the initial stress level. These results are a valuable contribution to the similarity evaluation of stress tensors.
学科主题Computer Science ; Engineering ; Geology
语种英语
WOS记录号WOS:000982712100001
出版者ELSEVIER SCI LTD
源URL[http://119.78.100.198/handle/2S6PX9GI/34979]  
专题中科院武汉岩土力学所
作者单位1.Chinese Academy of Sciences; University of Chinese Academy of Sciences, CAS
2.Chinese Academy of Sciences; Wuhan Institute of Rock & Soil Mechanics, CAS;
推荐引用方式
GB/T 7714
Xu, Huaisheng,Xu, Dingping,Li, Shaojun,et al. Stress tensor similarity index based on Euclidean distance for numerical back analysis of in situ stress fields[J]. COMPUTERS AND GEOTECHNICS,2023,159.
APA Xu, Huaisheng.,Xu, Dingping.,Li, Shaojun.,Zheng, Minzong.,Huang, Xiang.,...&Xu, Yu.(2023).Stress tensor similarity index based on Euclidean distance for numerical back analysis of in situ stress fields.COMPUTERS AND GEOTECHNICS,159.
MLA Xu, Huaisheng,et al."Stress tensor similarity index based on Euclidean distance for numerical back analysis of in situ stress fields".COMPUTERS AND GEOTECHNICS 159(2023).

入库方式: OAI收割

来源:武汉岩土力学研究所

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