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Modris Megnis

Researcher at Luleå University of Technology

Publications -  8
Citations -  203

Modris Megnis is an academic researcher from Luleå University of Technology. The author has contributed to research in topics: Matrix (mathematics) & Viscoelasticity. The author has an hindex of 6, co-authored 8 publications receiving 190 citations.

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Study of the transverse liquid flow paths in pine and spruce using scanning electron microscopy

TL;DR: In this article, a damage hypothesis was proposed based on the results obtained in the present investigation in combination with those from earlier studies on linseed oil-impregnated pine: viscous liquid flow in wood is dependent on damage that occurs during the impregnation procedure.
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Micromechanics based modeling of nonlinear viscoplastic response of unidirectional composite

TL;DR: Schapery's nonlinear viscoelastic, viscoplastic material model was used to characterize the inelastic response of glass fiber epoxy composite (Vicotex NVE 913/28%/192/EC9756 300MM produced by HEXCEL Composites Ltd) as discussed by the authors.
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Nonlinear viscoelastic, viscoplastic characterization of unidirectional GF/EP composite

TL;DR: In this article, Schapery's nonlinear viscoelastic viscoplasticconstitutive equations are used and generalized to describe inelastic behavior of unidirectional continuous fiber composite under isothermal creep and strain recovery conditions.
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Measurement of the uptake of linseed oil in pine by the use of an X-ray microdensitometry technique

TL;DR: In this paper, the distribution of the penetrant was found by taking microdensity measurements of an impregnated sample and then using an ethanol extraction procedure to remove the linseed oil.
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Micromechanical modeling of viscoelastic response of GMT composite

TL;DR: In this paper, a micromechanical model based on the correspondence principle in the Laplace domain was developed to describe the viscoelastic behavior of GMT composite with a given fiber orientation distribution function as consisting of an infinite number of unidirectional layers with orientations corresponding to this distribution function.