Evidence map›Paper›PMID 30754659›Full record

ArticleMaterials (Basel, Switzerland)2019

Stochastic Constitutive Model of Isotropic Thin Fiber Networks Based on Stochastic Volume Elements.

Rami Mansour, Artem Kulachenko, Wei Chen, Mårten Olsson

Abstract read
In one paragraph

Article in Materials (Basel, Switzerland), 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

4 authors.

Rami MansourDepartment of Solid Mechanics, Royal Institute of Technology, SE-100 44 Stockholm, Sweden. ramimans@kth.se.
Artem KulachenkoDepartment of Solid Mechanics, Royal Institute of Technology, SE-100 44 Stockholm, Sweden. artem@kth.se.ORCID 0000-0003-3611-2250
Wei ChenDepartment of Mechanical Engineering, Northwestern University, Evanston, IL 60208, USA. weichen@northwestern.edu.
Mårten OlssonDepartment of Solid Mechanics, Royal Institute of Technology, SE-100 44 Stockholm, Sweden. mart@kth.se.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Thin fiber networks are widely represented in nature and can be found in man-made materials such as paper and packaging. The strength of such materials is an intricate subject due to inherited randomness and size-dependencies. Direct fiber-level numerical simulations can provide insights into the role of the constitutive components of such networks, their morphology, and arrangements on the strength of the products made of them. However, direct mechanical simulation of randomly generated large and thin fiber networks is characterized by overwhelming computational costs. Herein, a stochastic constitutive model for predicting the random mechanical response of isotropic thin fiber networks of arbitrary size is presented. The model is based on stochastic volume elements (SVEs) with SVE size-specific deterministic and stochastic constitutive law parameters. The randomness in the network is described by the spatial fields of the uniaxial strain and strength to failure, formulated using multivariate kernel functions and approximate univariate probability density functions. The proposed stochastic continuum approach shows good agreement when compared to direct numerical simulation with respect to mechanical response. Furthermore, strain localization patterns matched the one observed in direct simulations, which suggests an accurate prediction of the failure location. This work demonstrates that the proposed stochastic constitutive model can be used to predict the response of random isotropic fiber networks of arbitrary size.

Indexed as

mechanical failuremulti-scale modelingplastic softeningstochastic volume element (SVE)strain localizationthin fiber networks

Identifiers

PMID30754659
PMCPMC6384688

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