## Abstract Literature offers several examples of application of neural networks to predict fresh and hardened properties of conventional and selfβcompacting concretes. In this paper, these issues are addressed to a relatively recent computational scheme given by the functional networks, by proposi
A review of the fresh/hardened properties and applications for plain- (PRC) and self-compacting rubberised concrete (SCRC)
β Scribed by K.B. Najim; M.R. Hall
- Publisher
- Elsevier Science
- Year
- 2010
- Tongue
- English
- Weight
- 848 KB
- Volume
- 24
- Category
- Article
- ISSN
- 0950-0618
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β¦ Synopsis
Significant research has been undertaken to better understand the performance characteristics and commercial potential for scrap vehicles tyres to be utilised as an alternative to conventional aggregates in concrete. Substituting recycled rubber for natural aggregates gives plain rubberised concrete (PRC) and is typically for non-structural applications. Several studies have also focussed on self-compacting rubberised concrete (SCRC). This paper summarises, compares and draws general conclusions from the findings of more than 70 independent studies, in terms of the fresh and hardened state properties of rubberised concrete to highlight and confirm the key characteristics of the material. Moreover, recommendations for future work and directions for this field of research have been detailed.
π SIMILAR VOLUMES
Self-compacting concrete (SCC) flows into place and around obstructions under its own weight to fill the formwork completely and self-compact without any segregation and blocking. Elimination of the need for compaction leads to better quality concrete and substantial improvement of working condition