Study on Application of Machine-made Sand Self compacting Concrete in Tunnel Secondary Lining
- DOI
- 10.2991/978-94-6463-429-7_43How to use a DOI?
- Keywords
- Mechanism sand; self-compacting concrete; workability; stone powder; tunnel secondary lining
- Abstract
An environmentally friendly self-compacting concrete for tunnel lining was prepared by replacing river sand with mechanism sand, adding appropriate amounts of stone powder and fly ash to adjust the workability and reduce cement consumption. After studying the effects of different coarse aggregate gradations, sand ratios, stone powder contents, and fly ash contents on the workability of the self-compacting concrete, the optimal mix proportion was determined. The best results were obtained when the coarse fine aggregate proportion was 6:4, the sand ratio was 0.43, the stone powder content was 5%, the fly ash content was 25%, and the water-cement ratio was 0.32, which met the engineering strength requirements. This provides a theoretical basis for the application of mechanism sand self-compacting concrete in tunnel secondary lining works.
- Copyright
- © 2024 The Author(s)
- Open Access
- Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.
Cite this article
TY - CONF AU - Xiaomiao Huang AU - Qi Gao AU - Guihong Dong PY - 2024 DA - 2024/06/07 TI - Study on Application of Machine-made Sand Self compacting Concrete in Tunnel Secondary Lining BT - Proceedings of the 2024 7th International Conference on Structural Engineering and Industrial Architecture (ICSEIA 2024) PB - Atlantis Press SP - 407 EP - 414 SN - 2589-4943 UR - https://doi.org/10.2991/978-94-6463-429-7_43 DO - 10.2991/978-94-6463-429-7_43 ID - Huang2024 ER -