Evaluation of Effective Elastic Properties for Wood–Cement Composites: Experimental and Computational Investigations

Autor: Jean Gérard Ndong Engone, Ahmed El Moumen, Chafika Djelal, Abdellatif Imad, Toufik Kanit, Jonathan Page
Přispěvatelé: Laboratoire de Génie Civil et Géo-Environnement (LGCgE) - ULR 4515 (LGCgE), Université d'Artois (UA)-Université de Lille-Ecole nationale supérieure Mines-Télécom Lille Douai (IMT Lille Douai), Institut Mines-Télécom [Paris] (IMT)-Institut Mines-Télécom [Paris] (IMT)-JUNIA (JUNIA), Université catholique de Lille (UCL)-Université catholique de Lille (UCL), Université d'Artois (UA), Unité de Mécanique de Lille - ULR 7512 (UML), Université de Lille
Jazyk: angličtina
Rok vydání: 2022
Předmět:
Zdroj: Sustainability; Volume 14; Issue 14; Pages: 8638
Sustainability
Sustainability, 2022, 14 (14), pp.8638. ⟨10.3390/su14148638⟩
ISSN: 2071-1050
DOI: 10.3390/su14148638
Popis: International audience; In this work, wood–cement composites (WCC) based on poplar sawdust were developed and fabricated by the extrusion process. The volume fraction of wood particles in the mixes was varied from 23% to 46%. The mechanical properties of these WCC were characterized in compression to determine the maximum compressive strength and the Young’s modulus. In the second part, these Young’s modulus values were estimated in compression using a 3D numerical homogenization which takes into account the variability in wood particle lengths and the random distribution in the mixes. The obtained results show a good agreement between the experimental data and numerical calculations up to a 35% volume fraction. The model’s poor estimation for large volume fractions (over 35%) could be attributed to the experimental sample size, which is not representative for large volume fractions, the percolation of the wood particles into the mixes and the inhibition of the cement setting.
Databáze: OpenAIRE