Big Data Nanoindentation and Analytics Reveal the Multi-Staged, Progressively-Homogenized, Depth-Dependent Upscaling of Rocks' Properties
文献类型：期刊论文
| 作者 | Luo, Shengmin1; Kim, Daeyoung3; Wu, Yongkang1; Li, Yucheng1; Wang, Dongfang1; Song, Jinliang1,2; DeGroot, Don J.1; Zhang, Guoping1 |
| 刊名 | ROCK MECHANICS AND ROCK ENGINEERING
 |
| 出版日期 | 2021-01-02 |
| 页码 | 32 |
| ISSN号 | 0723-2632 |
| 关键词 | Data analytics Gaussian mixture modeling Shale Staged homogenization Nanoindentation Young's modulus |
| DOI | 10.1007/s00603-020-02337-3 |
| 英文摘要 | This paper presents a newly observed phenomenon of upscaling of rocks' properties using big data nanoindentation and analytics involving Gaussian mixture modeling (GMM), leading to characterizing the cross-scale mechanical properties of four shales and one sandstone. A large number (i.e., similar to 500) of statistical indentation measurements to depths of 6-8 mu m were performed on each rock, resulting in continuous depth-dependent hardness and Young's modulus data from unknown phases, which were then segmented at various depths to extract an array of discretized subdatasets. Two-dimensional GMM of each subdataset yields the number, fraction, and properties of mechanically distinct phases, and re-assembly of these results leads to clearly discernible property-depth curves. Such improved data analytics consisting of data segmentation, GMM deconvolution, and re-assembly enables the transformation of a massive number of chaotic curves from unknown phases into a few discernible lines corresponding to identified phases, from which the mechanical properties of individual phases are accurately determined at relatively small depths. With increasing depth, initially unique mechanical properties of individual phases undergo multistage merging at the intermediate mesoscale and progressively homogenize into a unified value at large depths or macroscale (e.g., > similar to 5 mu m), which is regarded as the bulk rock's properties. More importantly, such depth-dependent transition and progressive merging and homogenization actually manifest the micromechanics of nanoindentation on a heterogeneous composite, including the indentation surround effect and rock's microstructure (e.g., sizes and spacings of different solid particles and their properties). Compared to different micromechanical upscaling models, this newly developed big data indentation technique and pertinent data analytics enable more accurate, multi-parameter, and cross-scale characterization of highly heterogeneous materials and explicitly uncover the multi-staged, progressively-homogenized, depth-dependent upscaling of elasticity from individual constituents at the nanoscale to merged virtual interface phases at the mesoscale and to bulk material at the macroscale. |
| 资助项目 | US Clay Minerals Society ; MRSEC Program of the National Science Foundation[DMR1419807] |
| WOS研究方向 | Engineering ; Geology |
| 语种 | 英语 |
| 出版者 | SPRINGER WIEN |
| WOS记录号 | WOS:000604082700001 |
| 源URL | [http://119.78.100.198/handle/2S6PX9GI/25414]  |
| 专题 | 中科院武汉岩土力学所 |
| 通讯作者 | Zhang, Guoping |
| 作者单位 | 1.Univ Massachusetts Amherst, Dept Civil & Environm Engn, Amherst, MA 01003 USA 2.Chinese Acad Sci, Inst Rock & Soil Mech, State Key Lab Geomech & Geotech Engn, Wuhan 430071, Peoples R China 3.Univ Massachusetts Amherst, Dept Math & Stat, Amherst, MA 01003 USA |
| 推荐引用方式 GB/T 7714 | Luo, Shengmin,Kim, Daeyoung,Wu, Yongkang,et al. Big Data Nanoindentation and Analytics Reveal the Multi-Staged, Progressively-Homogenized, Depth-Dependent Upscaling of Rocks' Properties[J]. ROCK MECHANICS AND ROCK ENGINEERING,2021:32. |
| APA | Luo, Shengmin.,Kim, Daeyoung.,Wu, Yongkang.,Li, Yucheng.,Wang, Dongfang.,...&Zhang, Guoping.(2021).Big Data Nanoindentation and Analytics Reveal the Multi-Staged, Progressively-Homogenized, Depth-Dependent Upscaling of Rocks' Properties.ROCK MECHANICS AND ROCK ENGINEERING,32. |
| MLA | Luo, Shengmin,et al."Big Data Nanoindentation and Analytics Reveal the Multi-Staged, Progressively-Homogenized, Depth-Dependent Upscaling of Rocks' Properties".ROCK MECHANICS AND ROCK ENGINEERING (2021):32. |
入库方式： OAI收割
来源：武汉岩土力学研究所
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