| Top-down constitutive modelling to capture nanoscale shear localization |
| Wen JC(温济慈) ; Wei YJ(魏宇杰)
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通讯作者 | Wei, Yujie([email protected])
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发表期刊 | JOURNAL OF THE MECHANICS AND PHYSICS OF SOLIDS
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| 2024-06-01
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卷号 | 187页码:17 |
ISSN | 0022-5096
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摘要 | Deformation localization as exemplified by earthquakes, landslides, shear banding in solids, and failure of engineering components is of utmost importance. In practice, differentiating the mechanical behavior in such generative narrow bands from the rest part, with difference by orders of magnitude in characteristic size, flow strength, temperature, and shearing rate, is both experimentally and computationally formidable. Here we propose a machine -learning -based constitutive modeling framework to overcome this barrier borne from conventional top -down continuum modelling approach. The model enables us to realize ultra -fine resolutions for deformation in those narrow bands with high efficiency. Taking metallic glasses (MGs) as an example, our model captures well shear localization in BMGs across a broad range of temperatures (0 K to its melting point of -1000 K) and strain rates (10-4 to 108/s). We verify through this model the width of shear bands (SBs) in MGs is on the order of 5-8 nanometers, which is resulted from a cascade of (intervening) events, from localized shearing to plastic heating, subsequent temperature rise to thermal softening, and accelerated flow rate to strain -rate hardening. Temperature rise in SBs is a resultant of heat flow and plastic dissipation, but strongly depend on thermal conductivity: Low thermal conductivity facilitates strain localization and great temperature rise. It helps understanding the current controversy upon experimentally measured temperature rise ranging from several K to -1000 K. Lastly, strain rates within SBs are approximately one to two orders of magnitude higher than externally applied strain rates, and in general shearing in adiabatic SBs is faster than that in isothermal condition. |
关键词 | Deformation localization
Physics -Driven Machine Learning
Constitutive Model
Nanoscale shear bands
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DOI | 10.1016/j.jmps.2024.105629
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收录类别 | SCI
; EI
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语种 | 英语
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WOS记录号 | WOS:001218466600001
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关键词[WOS] | BULK METALLIC-GLASS
; HIGH-TEMPERATURE DEFORMATION
; PLASTIC-DEFORMATION
; MECHANICAL-PROPERTIES
; FREE-VOLUME
; BANDS
; FLOW
; BEHAVIOR
; FRACTURE
; NANOCRYSTALLIZATION
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WOS研究方向 | Materials Science
; Mechanics
; Physics
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WOS类目 | Materials Science, Multidisciplinary
; Mechanics
; Physics, Condensed Matter
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资助项目 | NSFC Basic Science Center for 'Multiscale Problems in Nonlinear Mechanics '[11988102]
; Young Elite Scientists Sponsorship Program by the Chinese Society of Theoretical and Applied Mechanics[CSTAM2022-XSC-QN4]
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项目资助者 | NSFC Basic Science Center for 'Multiscale Problems in Nonlinear Mechanics '
; Young Elite Scientists Sponsorship Program by the Chinese Society of Theoretical and Applied Mechanics
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论文分区 | 一类/力学重要期刊
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力学所作者排名 | 1
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RpAuthor | Wei, Yujie
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引用统计 |
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文献类型 | 期刊论文
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条目标识符 | http://dspace.imech.ac.cn/handle/311007/95281
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专题 | 非线性力学国家重点实验室
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推荐引用方式 GB/T 7714 |
Wen JC,Wei YJ. Top-down constitutive modelling to capture nanoscale shear localization[J]. JOURNAL OF THE MECHANICS AND PHYSICS OF SOLIDS,2024,187:17.Rp_Au:Wei, Yujie
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APA |
温济慈,&魏宇杰.(2024).Top-down constitutive modelling to capture nanoscale shear localization.JOURNAL OF THE MECHANICS AND PHYSICS OF SOLIDS,187,17.
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MLA |
温济慈,et al."Top-down constitutive modelling to capture nanoscale shear localization".JOURNAL OF THE MECHANICS AND PHYSICS OF SOLIDS 187(2024):17.
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