An artificial neural network for groutability prediction of permeation grouting with microfine cement grouts

Computers and Geotechnics

Volumn 38, Issue 8, 2011, Pages 978-986

  Liao, Kuo Wei ^a   Fan, Jen Chen ^b   Huang, Chien Lin ^b  

^a NATIONAL TAIWAN UNIVERSITY OF SCIENCE AND TECHNOLOGY   (Taiwan)

^b NATIONAL TAIWAN UNIVERSITY   (Taiwan)

Author keywords

Groutability; Microfine cement; Neural network; Permeation grouting

Indexed keywords

ALTERNATIVE APPROACH; ARTIFICIAL NEURAL NETWORK; FIELD OBSERVATIONS; FINES CONTENT; GOOD CORRELATIONS; GROUTABILITY; IN-SITU DATA; MICROFINE CEMENT; PERMEATION GROUTING; PRACTICAL ENGINEERING; RADIAL BASIS FUNCTION NEURAL NETWORKS; SHORT TIME FRAMES; TRAINING AND TESTING; VOID RATIOS; WATER-TO-CEMENT RATIOS;

CONCRETE CONSTRUCTION; FORECASTING; GEOTECHNICAL ENGINEERING; GROUTING; MORTAR; PRESTRESSED MATERIALS; RADIAL BASIS FUNCTION NETWORKS; SOIL CEMENT;

NEURAL NETWORKS;

ARTIFICIAL NEURAL NETWORK; CEMENT; CORRELATION; ESTIMATION METHOD; GEOTECHNICAL ENGINEERING; GRAIN SIZE; GROUTING; PREDICTION;

EID: 80052925636     PISSN: 0266352X     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.compgeo.2011.07.008     Document Type: Article

References (25)

1. Akbulut S., Saglamer A. Estimating the groutability of granular soils: a new approach. Tunn Undergr Space Technol 2002, 17:371-380.
2. Axelsson M., Gustafson G., Fransson A. Stop mechanism for cementitious grouts at different water-to-cement ratio. Tunn Undergr Space Technol 2009, 24:390-397.
3. Broomhead D.S., Lowe D. Multivariate functional interpolation & adaptive networks. Complex Syst 1988, 2:321-355.
4. Burwell E.B. Cement and clay grouting of foundations: practice of the corps of engineering. J Soil Mech Found Div 1958, 84:1551/1-1551/22.
5. Chang F.J., Chen Y.C. A counterpropagation fuzzy-neural network modeling approach to real time streamflow prediction. J Hydrol 2001, 245:153-164.
6. Chang T.C., Chao R.J. Application of back-propagation networks in debris flow prediction. Eng Geol 2006, 85:270-280.
7. Chang F.J., Tseng K.Y., Chaves P. Shared near neighbors neural network model: a debris flow warning system. Hydrol Process 2007, 21:1968-1976.
8. Ham F.M., Kostanic I. Principles of neurocomputing for science & engineering 2001, McGraw-Hill.
9. Huang C.L., Fan J.C., Yang W.J. A study of applying microfine cement grout to sandy silt soil. Sino-Geotech 2007, 111:71-82.
10. Huang CL, Fan JC, Sze KL, Hsu MH. A study of permeation grouting and quantity of injection with microfine cement grout. Sino-Geotech 2009; unpublished results.
11. Incecik M., Ceren I. Cement grouting model tests. Bull Tech Univ Istanbul 1995, 48(2):305-317.
12. Kecman V. Learning and soft computing: support vector machines, neural networks, and fuzzy logic models. Cambridge; 2001.
13. Khayat K.H., Ballivy G., Gaudreault M. High-performance cement grout for underwater crack injection. Can J Civil Eng 1997, 24(3):405-418.
14. Krizek R.J., Liao H.J., Borden R.H. Mechanical properties of microfine cement/sodium silicate grouted sand. ASCE special technical publication on grouting. Soil Improv Geosynth 1992, 1:688-699.
15. Liao H.J. Soil grouting for a piperoofed underpass construction below ground water table. Sino-Geotech 1994, 47:35-54.
16. Maag E. Ueber die Verfestigung und Dictung des Bangrundes (injektionen). Course on soil mech, Zurich Tech. School; 1938.
17. Naudts A, Landry E. New in-situ wet milling technology for the preparation of ultrafine cement-basis grouts. In: Proceedings of the third international conference of grouting and ground treatment; 2003. p. 1200-7.
18. Ozgurel H.G., Vipulanandan C. Effect of grain size and distribution on permeability and mechanical behavior of acrylamide grouted sand. J Geotech Geoenviron Eng 2005, 131(12):1457-1465.
19. Perret S., Khayat K.H., Gagnon E., Rhazi J. Repair of 130-year old masonry bridge using high-performance cement grout. J Bridge Eng 2002, 7(1):31-38.
20. Phillips M., Altorki N., Austin J.H.M., Cameron R.B., Cataneo R.N., Greenberg J., et al. Prediction of lung cancer using volatile biomarkers in breath. Cancer Biomar 2007, 3:95-109.
21. Reschke AE. The development of colloidal mixer basis CRF systems. Sixth international symposium on mining with backfill, Brisbane, April, Australia; 1998. p. 14-16.
22. Schwarz L.G., Krizek R.J. Hydrocarbon residuals and containment in microfine cement grouted sand. J Mater Civil Eng 2006, 18(2):214-228.
23. Stephanie P., Danielle P., Gerard B. Rheological behavior and setting time of microfine cement-basis grouts. ACI Mater J 2000, 97:472-478.
24. Tekin E, Akbas SO. Artificial neural networks approach for estimating the groutability of granular soils with cement-basis grouts. Bull Eng Geol Environ 2010; Published online, 29 May.
25. Zebovitz S., Krizek R.J., Atmatzidis D.K. Injection of fine sands with very fine cement grout. J Geotech Eng Div 1989, 12:1717-1733.