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Mechanical prediction of w.c.c. properties: experimental study and analytical modeling

Author(s): Jean Gérard Ndong Engone, Ahmed El-Moumen, Chafika Djelal, Abdellatif Imad, Yannick Vanhove
Paper category: Proceedings
Book title: SynerCrete’18: Interdisciplinary Approaches for Cement-based Materials and Structural Concrete: Synergizing Expertise and Bridging Scales of Space and Time Vol. 1 & 2
Editor(s): Miguel Azenha, Dirk Schlicke, Farid Benboudjema, Agnieszka Jędrzejewska
ISBN: 978-2-35158-202-2
e-ISBN: 978-2-35158-203-9
Publisher: RILEM Publications SARL
Publication year: 2018
Pages: 541-546
Total Pages: 6
Language : English

Abstract: The wood industry generates some 12 million tons of waste in France. The reuse of this waste in the most common construction materials (e.g. concrete) may offer a sustainable solution. In this work, an experimental study was performed in order to develop wood cement composite (WCC) based on poplar sawdust by vibrocompaction process and used in concrete masonry blocks. The volume fraction of wood particles in the mixes varies from 23% to 46%. The mechanical properties in compression of these composites are characterized experimentally to determine the breaking stress and the Young's moduli. Thereafter, these Young's moduli are estimated in compression using both analytical homogenization models in order to predict the effective elastic properties of cement-wood composites. The obtained results show a good agreement between the experimental data and analytical calculations up to a 40% volume fraction. The poor models estimation for large volume fractions could be attributed to the experimental sample size, which is no longer representative for large volume fractions. Aside from the effect of specimen size, the physico-chemical phenomena (inhibition of the cement, WP percolation) could be the cause of poor models estimation for large volume fractions.

Online publication : 2018
Publication type : full_text
Public price (Euros) : 0.00

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