S
Stepan Vladimirovitch Lomov
Researcher at Katholieke Universiteit Leuven
Publications - 601
Citations - 17556
Stepan Vladimirovitch Lomov is an academic researcher from Katholieke Universiteit Leuven. The author has contributed to research in topics: Ultimate tensile strength & Epoxy. The author has an hindex of 61, co-authored 577 publications receiving 15046 citations. Previous affiliations of Stepan Vladimirovitch Lomov include De Montfort University & Skolkovo Institute of Science and Technology.
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Damage in flax/epoxy quasi-unidirectional woven laminates under quasi-static tension
Malika Kersani,Malika Kersani,Stepan Vladimirovitch Lomov,Aart Willem Van Vuure,Ahcene Bouabdallah,Ignaas Verpoest +5 more
TL;DR: In this article, the damage initiation and development in flax/epoxy laminates under quasi-static tension was studied and the laminate was made of quasi-unidirectional woven prepregs in different configurations.
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Stress magnification due to carbon nanotube agglomeration in composites
Valentin Romanov,Valentin Romanov,Stepan Vladimirovitch Lomov,Ignace Verpoest,Larissa Gorbatikh +4 more
TL;DR: In this article, the effect of CNT agglomerates on the inter-fiber stresses in a unidirectional fiber reinforced composite using a numerical approach is investigated.
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Can carbon nanotubes grown on fibers fundamentally change stress distribution in a composite
TL;DR: In this article, the authors report results of a modelling study indicating that carbon nanotubes (CNTs) grown on fibers are effective in suppressing stress concentrations at the fiber/matrix interface.
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On modelling of damage evolution in textile composites on meso-level via property degradation approach
TL;DR: In this article, an effective elastic response model was proposed to model a single crack-like defect in a yarn as an inhomogeneity with elastic constants reduced according to the Murakami-Ohno model.
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Micro-CT based structure tensor analysis of fibre orientation in random fibre composites versus high-fidelity fibre identification methods
Radmir Karamov,Luca M. Martulli,Luca M. Martulli,Martin Kerschbaum,I. V. Sergeichev,Yentl Swolfs,Stepan Vladimirovitch Lomov +6 more
TL;DR: In this paper, X-ray tomography images of random glass fiber/polypropylene injection molded composites were processed using ellipsometry on 2D slices, 3D fibre identification (Avizo software) and analysis of the structure tensor (VoxTex software).