
AbstractResearches aim to significantly increase the operational properties of the wood materials without compromising on their environmental significance. The possibility of implementing a fundamentally new approach involving filling the free space in the wood fiber structure with such mineral filler particles as nanosized basalt is shown. The research focuses on solving problems concerned with the optimal quantitative ratio selection for the fine mineral components of wood composite, working out the mineral reinforced material prototypes and testing their hydrophysical and fire-technical properties. The proposed method of highly dispersed wood material reinforcing with basalt nanoparticles allows getting highly water- and heat-resistant as well as eco-friendly raw materials. The composite reinforced with wood fiber is characterized by the decreased level of water absorption values and the significantly reduced smoke emission coefficient.
fire-technical properties, nanodispersed basalt, Mineral reinforced wood, hybrid composite suspender, hydrophysical properties, Engineering(all)
fire-technical properties, nanodispersed basalt, Mineral reinforced wood, hybrid composite suspender, hydrophysical properties, Engineering(all)
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 15 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Top 10% | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Top 10% | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
