A Phase Field Arlequin Model for Resolving Nonlocal Hydromechanical Effects of Porous Media Across Time and Spatial Scales
A Phase Field Arlequin Model for Resolving Nonlocal Hydromechanical Effects of Porous Media Across Time and Spatial Scales
批准号:
1462760
负责人:
WaiChing Sun
金额:
$30.0万
依托单位:
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2015
资助国家:
美国
项目状态:
已结题
起止时间:
2015-08-15 至 2020-07-31
中文摘要
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英文摘要
Porous media are common to engineered and natural systems. This class of materials includes amongst others bone, sand, rock and concrete. Understanding how the microscopic defects and flaws of porous media evolve is of great importance for predicting large-scale response. This award supports fundamental research on predicting and analyzing mechanical behaviors of fluid infiltrating porous media. Emphasis is placed on problems that involve strong near- and far-field interactions, such as hydraulic fracture operations and preventing re-activation of faults. The framework will adaptively activate material models of different levels of sophistication based on the need to extract small-scale information. This adaptive nature leads to highly efficient simulations where all CPU time and computational resources are wisely allocated for the most important hydro-mechanical events in the most important region at the most critical time. As a result, this highly efficient model will help industries and engineers predicting material failures more accurately and faster and therefore benefit to the US economy and society. The research is fully integrated with education activities that use 3D printers to demonstrate the fundamental physics of porous media. Outreach activities at the underprivileged school district will help broaden participation of underrepresented groups in research and positively impact engineering education. This award supports research on a new phase-field based, adaptive Arlequin multiscale model for poromechanics. While classic Arlequin method uses partition of unity on energy functional to couple small- and large-scale models in a fixed domain of interest, this new work will allow fine-scale region to enlarge, shrink or vanished via an evolving phase field. The fact that phase field has finite thickness will be exploited to seamlessly create evolving transition zone between fine- and coarse-scale models. The coupled numerical model will be implemented in an operator-splitting scheme where displacement, Darcy's velocity, pore pressure and the phase fields are updated asynchronously. By overcoming the computational barrier due to coupling effect across length scale, the concurrent multiscale model will provide fresh insight in understanding the fundamental role of pore-fluid in the formation of localized band, cracks propagations in porous media with defects, flaws and other small-scale geometrical features.
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PREFACE: COMPUTATIONAL POROMECHANICS
前言:计算孔隙力学
DOI:
10.1615/intjmultcompeng.2016018596
发表时间:
2016
期刊:
International Journal for Multiscale Computational Engineering
影响因子:
1.4
作者:
[Sun, WaiChing]
通讯作者:
Sun, WaiChing
ALBANY: USING COMPONENT-BASED DESIGN TO DEVELOP A FLEXIBLE, GENERIC MULTIPHYSICS ANALYSIS CODE
奥尔巴尼:使用基于组件的设计开发灵活的通用多物理场分析代码
DOI:
10.1615/intjmultcompeng.2016017040
发表时间:
2016
期刊:
International Journal for Multiscale Computational Engineering
影响因子:
1.4
作者:
[Salinger, Andrew G., Bartlett, Roscoe A., Bradley, Andrew M., Chen, Qiushi, Demeshko, Irina P., Gao, Xujiao, Hansen, Glen A., Mota, Alejandro, Muller, Richard P., Nielsen, Erik]
通讯作者:
Nielsen, Erik
DOI:
10.1680/jgele.15.00149
发表时间:
2016-04
期刊:
Geotechnique Letters
影响因子:
2.1
作者:
[N. Guo;Jidong Zhao;WaiChing Sun]
通讯作者:
N. Guo;Jidong Zhao;WaiChing Sun
DOI:
10.1016/j.cma.2016.02.020
发表时间:
2016-06
期刊:
Computer Methods in Applied Mechanics and Engineering
影响因子:
7.2
作者:
[Kun Wang;WaiChing Sun]
通讯作者:
Kun Wang;WaiChing Sun
Data-Driven Discrete-Continuum Method for Partially Saturated Micro-Polar Porous Media
部分饱和微极性多孔介质的数据驱动离散连续方法
DOI:
10.1061/9780784480779.070
发表时间:
2017
期刊:
Sixth Biot Conference on Poromechanics
影响因子:
--
作者:
[Wang, Kun, Sun, WaiChing]
通讯作者:
Sun, WaiChing
共 12 条
CAREER: Computational Failure Mechanics Across Multiple Scales with Deep Reinforcement Learning
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批准号:1846875
-
项目类别:Standard Grant
-
资助金额:$50.0万
-
财政年份:2019
-
负责人:WaiChing Sun
-
依托单位:
Collaborative Research: I-AIM: Interpretable Augmented Intelligence for Multiscale Material Discovery
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批准号:1940203
-
项目类别:Standard Grant
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资助金额:$41.8万
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财政年份:2019
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负责人:WaiChing Sun
-
依托单位:
13th World Congress in Computational Mechanics; New York, New York; July 22-27, 2018
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批准号:1745832
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项目类别:Standard Grant
-
资助金额:$5.0万
-
财政年份:2018
-
负责人:WaiChing Sun
-
依托单位:
国内基金
海外基金
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