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Please use this identifier to cite or link to this item: http://repository.iitr.ac.in/handle/123456789/10852
Title: A stochastic XFEM model for the tensile strength prediction of heterogeneous graphite based on microstructural observations
Authors: Bansal M.
Singh, Indra Vir
Mishra, B. K.
Sharma K.
Khan I.A.
Published in: Journal of Nuclear Materials
Abstract: A stochastic XFEM model based on microstructural observations has been developed to evaluate the tensile strength of NBG-18 nuclear graphite. The nuclear graphite consists of pitch matrix, filler particles, pores and micro-cracks. The numerical simulations are performed at two length scales due to large difference in average size of filler particles and pores. Both deterministic and stochastic approaches have been implemented. The study intends to illustrate the variation in tensile strength due to heterogeneities modeled stochastically. The properties of pitch matrix and filler particles are assumed to be known at the constituent level. The material models for both pitch and fillers are assumed to be linear elastic. The stochastic size and spatial distribution of the pores and filler particles has been modeled during the micro and macro analysis respectively. The strength of equivalent porous pitch matrix evaluated at micro level has been distributed stochastically in the elemental domain along with filler particles for macro analysis. The effect of micro-cracks has been incorporated indirectly by considering fracture plane in each filler particle. Tensile strength of nuclear graphite is obtained by performing the simulations at macro-level. Statistical parameters evaluated using numerical tensile strength data agree well with experimentally obtained statistical parameters available in the literature. © 2017 Elsevier B.V.
Citation: Journal of Nuclear Materials (2017), 487(): 143-157
URI: https://doi.org/10.1016/j.jnucmat.2016.12.045
http://repository.iitr.ac.in/handle/123456789/10852
Issue Date: 2017
Publisher: Elsevier B.V.
Keywords: Micro-macro model
Nuclear graphite
Stochastic analysis
Tensile strength
XFEM
ISSN: 223115
Author Scopus IDs: 55531336500
57204061377
55578538300
16234476200
56003932700
Author Affiliations: Bansal, M., Department of Mechanical and Industrial Engineering, Indian Institute of Technology Roorkee, Roorkee, Uttarakhand 247667, India
Singh, I.V., Department of Mechanical and Industrial Engineering, Indian Institute of Technology Roorkee, Roorkee, Uttarakhand 247667, India
Mishra, B.K., Department of Mechanical and Industrial Engineering, Indian Institute of Technology Roorkee, Roorkee, Uttarakhand 247667, India
Sharma, K., Reactor Structures Section, Reactor Safety Division, BARC, Mumbai, India
Khan, I.A., Reactor Structures Section, Reactor Safety Division, BARC, Mumbai, India
Corresponding Author: Singh, I.V.; Department of Mechanical and Industrial Engineering, Indian Institute of Technology RoorkeeIndia; email: ivsingh@gmail.com
Appears in Collections:Journal Publications [ME]

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