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Multi-Scale Computation-Based Design of Nano-Segregated Polyurea for Maximum Shockwave-Mitigation Performance
Author(s) -
M. Grujičić,
S. Ramaswami,
J. S. Snipes,
R. Yavari
Publication year - 2014
Publication title -
aims materials science
Language(s) - English
Resource type - Journals
eISSN - 2372-0484
pISSN - 2372-0468
DOI - 10.3934/matersci.2014.1.15
Subject(s) - polyurea , computation , scale (ratio) , finite element method , function (biology) , materials science , nanotechnology , computer science , structural engineering , engineering , algorithm , physics , quantum mechanics , evolutionary biology , biology , coating
A multi-length-scale computational analysis is used to carry out the design of polyurea for maximum shockwave-mitigation performance. The computational analysis involves a combined all-atom/coarse-grained molecular-level investigation of shockwave-propagation within polyurea and a finite-element analysis of direct quantification of the shockwave-mitigation capacity of this material as a function of its chemistry (or, more specifically, of its soft-segment molecular weight). The results obtained suggest that the approach employed can correctly identify the optimal chemistry of polyurea and, thus, be of great benefit in the efforts to develop new highly-efficient blastwave-protective materials, in a cost-effective manner

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