کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
10349454 | 863612 | 2014 | 8 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
Spatial adaptive sampling in multiscale simulation
ترجمه فارسی عنوان
نمونه گیری تطبیقی فضایی در شبیه سازی چند بعدی
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کلمات کلیدی
چند منظوره، نمونه گیری سازگار،
موضوعات مرتبط
مهندسی و علوم پایه
شیمی
شیمی تئوریک و عملی
چکیده انگلیسی
In a common approach to multiscale simulation, an incomplete set of macroscale equations must be supplemented with constitutive data provided by fine-scale simulation. Collecting statistics from these fine-scale simulations is typically the overwhelming computational cost. We reduce this cost by interpolating the results of fine-scale simulation over the spatial domain of the macro-solver. Unlike previous adaptive sampling strategies, we do not interpolate on the potentially very high dimensional space of inputs to the fine-scale simulation. Our approach is local in space and time, avoids the need for a central database, and is designed to parallelize well on large computer clusters. To demonstrate our method, we simulate one-dimensional elastodynamic shock propagation using the Heterogeneous Multiscale Method (HMM); we find that spatial adaptive sampling requires only â50ÃN0.14 fine-scale simulations to reconstruct the stress field at all N grid points. Related multiscale approaches, such as Equation Free methods, may also benefit from spatial adaptive sampling.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Computer Physics Communications - Volume 185, Issue 7, July 2014, Pages 1857-1864
Journal: Computer Physics Communications - Volume 185, Issue 7, July 2014, Pages 1857-1864
نویسندگان
Bertrand Rouet-Leduc, Kipton Barros, Emmanuel Cieren, Venmugil Elango, Christoph Junghans, Turab Lookman, Jamaludin Mohd-Yusof, Robert S. Pavel, Axel Y. Rivera, Dominic Roehm, Allen L. McPherson, Timothy C. Germann,