A novel approach to prediction of rheological characteristics of jet grout cement mixtures via genetic expression programming
Author:
Publisher
Springer Science and Business Media LLC
Subject
Artificial Intelligence,Software
Link
http://link.springer.com/article/10.1007/s00521-016-2360-2/fulltext.html
Reference32 articles.
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2. Cristelo N, Soare E, Rosa I, Miranda T, Oliveira DV, Silva RA, Chaves A (2013) Rheological properties of alkaline activated fly ash used in jet grouting applications. Constr Build Mater 48:925–933
3. Shen S, Wang Z, Horpibulsuk S, Kim Y (2013) Jet grouting with a newly developed technology: the twin-jet method. Eng Geol 152:87–95
4. Tinoco J, Correia AG, Cortez P (2014) Support vector machines applied to uniaxial compressive strength prediction of jet grouting columns. Comput Geotech 55:132–140
5. Tinoco J, Correia AG, Cortez P (2014) A novel approach to predicting Young’s modulus of jet grouting laboratory formulations over time using data mining techniques. Eng Geol 169:50–60
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