Interpreting the experimental results of compressive strength of hand-mixed cement-grouted sands using various mathematical approaches
Author:
Publisher
Springer Science and Business Media LLC
Subject
Mechanical Engineering,Civil and Structural Engineering
Link
https://link.springer.com/content/pdf/10.1007/s43452-021-00341-0.pdf
Reference49 articles.
1. Ozgurel HG, Vipulanandan C. Effect of grain size and distribution on permeability and mechanical behavior of acrylamide grouted sand. J Geotech Geoenviron Eng. 2005;131(12):1457–65.
2. Hicher PY, Dano C, Chang C. Multi-scale modelling of the mechanical behaviour of grouted sand. Studia Geotechnica et Mechanica. 2008:1.
3. Beushausen H, Luco LF. Performance-based specifications and control of concrete durability. RILEM TC. State-of-the-Art Report RILEM TC 230-PSC; 2016. pp. 66–72. https://doi.org/10.1007/978-94-017-7309-6.
4. Celik F, Canakci H. An investigation of rheological properties of cement-based grout mixed with rice husk ash (RHA). Constr Build Mater. 2015;91:187–94.
5. Stille H, Gustafson G, Hassler L. Application of new theories and technology for grouting of dams and foundations on rock. Geotech Geol Eng. 2012;30(3):603–24.
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