Cross-scale characterization of the elasticity of shales: Statistical nanoindentation and data analytics
文献类型：期刊论文
| 作者 | Luo, Shengmin2; Lu, Yunhu1,3; Wu, Yongkang2; Song, Jinliang2,4; DeGroot, Don J.2; Jin, Yan1,3; Zhang, Guoping2 |
| 刊名 | JOURNAL OF THE MECHANICS AND PHYSICS OF SOLIDS
 |
| 出版日期 | 2020-07-01 |
| 卷号 | 140页码:24 |
| 关键词 | Data analytics Nanoindentation Shale Surround effect Young's modulus |
| ISSN号 | 0022-5096 |
| DOI | 10.1016/j.jmps.2020.103945 |
| 英文摘要 | Shales are a class of multiscale, multiphase, hybrid inorganic-organic composite materials exhibiting both frictional and cohesive behavior, and it is very challenging to characterize and interpret their complex mechanical properties. A statistical nanoindentation approach with pertinent viable data analytics was developed to probe the mechanical properties of shales across different length scales. Grid nanoindentation experiments with continuous stiffness measurement performed on shales to relatively large depths of 6-8 mu m obtained massive data, which were processed by the new data analytics: segmentation at selected depths of a great number (e.g., >500) of continuous Young's modulus versus indentation depth curves obtained from unknown constituent phases yielded multiple discretized sub-datasets that were processed to extract individual phases' elastic moduli at respective segmentation depths via probability density function (PDF)-based deconvolution; these depth-dependent Young's moduli of each phase were then fitted by a newly proposed surround effect model, leading to determination of the properties of both individual phases at the nano/micro-scales (i.e., virtually infinitesimal depths) and the bulk rock at the macroscale (i.e., similar to 10-100 mu m depths). A significant advantage of this massive data-based indentation approach is that the mechanical properties of composite materials such as shales can be probed across different scales by a single measurement technique. In addition, a new criterion, termed Bin Size Index, was formulated for selecting depth-dependent, rational, optimized bin sizes for PDF construction. For the studied shales, results show that five mechanically-distinct phases are discerned, including a virtual interface phase between hard and soft constituents accounting for a majority of indents. Coincidently, the Young's modulus of the bulk rock is nearly the same as that of the interface phase, suggesting that the macroscopic properties of similar composites may be estimated from measurements on the interface of two phases with contrasting mechanical properties. Finally, this approach can guide the selection of appropriate indentation depths to probe the mechanical properties of both highly heterogeneous bulk materials at the macroscale and their individual constituent phases at the nano/micro-scale. (C) 2020 Elsevier Ltd. All rights reserved. |
| 资助项目 | National Natural Science Foundation of China[51774305] ; Major Projects of the National Natural Science Foundation of China[51490651] ; MRSEC Program of the National Science Foundation[DMR1419807] |
| WOS研究方向 | Materials Science ; Mechanics ; Physics |
| 语种 | 英语 |
| WOS记录号 | WOS:000530033800004 |
| 出版者 | PERGAMON-ELSEVIER SCIENCE LTD |
| 源URL | [http://119.78.100.198/handle/2S6PX9GI/24087]  |
| 专题 | 中科院武汉岩土力学所 |
| 通讯作者 | Jin, Yan; Zhang, Guoping |
| 作者单位 | 1.China Univ Petr, Coll Petr Engn, Beijing 102249, Peoples R China 2.Univ Massachusetts, Dept Civil & Environm Engn, Amherst, MA 01003 USA 3.China Univ Petr, State Key Lab Petr Resources & Prospecting, Beijing 102249, Peoples R China 4.Chinese Acad Sci, Inst Rock & Soil Mech, State Key Lab Geomech & Geotech Engn, Wuhan 430071, Peoples R China |
| 推荐引用方式 GB/T 7714 | Luo, Shengmin,Lu, Yunhu,Wu, Yongkang,et al. Cross-scale characterization of the elasticity of shales: Statistical nanoindentation and data analytics[J]. JOURNAL OF THE MECHANICS AND PHYSICS OF SOLIDS,2020,140:24. |
| APA | Luo, Shengmin.,Lu, Yunhu.,Wu, Yongkang.,Song, Jinliang.,DeGroot, Don J..,...&Zhang, Guoping.(2020).Cross-scale characterization of the elasticity of shales: Statistical nanoindentation and data analytics.JOURNAL OF THE MECHANICS AND PHYSICS OF SOLIDS,140,24. |
| MLA | Luo, Shengmin,et al."Cross-scale characterization of the elasticity of shales: Statistical nanoindentation and data analytics".JOURNAL OF THE MECHANICS AND PHYSICS OF SOLIDS 140(2020):24. |
入库方式： OAI收割
来源：武汉岩土力学研究所
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