Open Access
Issue
MATEC Web Conf.
Volume 149, 2018
2nd International Congress on Materials & Structural Stability (CMSS-2017)
Article Number 02025
Number of page(s) 4
Section Session 2 : Structures & Stability
DOI https://doi.org/10.1051/matecconf/201814902025
Published online 14 February 2018
  1. M. Iskander, Behavior of pipe piles in sand: plugging and pore-water pressure generation during installation and loading. Springer Series of Geomecha and GeoEngin. Springer Berlin Heidelberg Edition. 250 (2011). [CrossRef] [Google Scholar]
  2. M. A. Shahin, Load settlement modeling of axially loaded drilled shafts using CPT based recurrent neural network, Soils and Foundations. 54, 515–522 (2014) . [CrossRef] [Google Scholar]
  3. A. Kordjazi, F. Pooya Nejad, M. B. Jaksa, Prediction of ultimate axial load carrying of piles using vector machine based on CPT data. Comput and Geotech. 55, 91–102(2014). [CrossRef] [Google Scholar]
  4. H. B. Mohammad, S. A. Azizkandi, A. Kashkooli,. Prediction of pile settlement based on cone penetration test results: an ANN approach. KSCE. Civ Eng. J. 19, 98–106(2015) [CrossRef] [Google Scholar]
  5. A. Eslami, B. H. Fellenius, Pile capacity by direct CPT and CPTu methods applied to 102 cases histories. Can Geotech.J. 34, 886–904 (1997). [CrossRef] [Google Scholar]
  6. F. Yu, J. Yang, Base capacity of open ended steel pipe piles in sand. J Geotech Geoenviron. Eng. 138 1116-1128(2012). [CrossRef] [Google Scholar]
  7. A. W. Skempton, Standard penetration test procedures and the effects in sands of overburden pressure, relative density, particle size, aging and overconsolidation. Geotech, 36,425-447(1986). [Google Scholar]
  8. S. S. Liao, R. V. Whitman, Overburden correction factors for SPT in sand. J Geotech Eng ASCE. 112. 373-377(1986). [Google Scholar]
  9. G. Dreyfus, J. M. Martinez, M. Samuelides, M. B. Gordon, F. Badran,; S. Thiria,; L. Hérault, Réseaux de neurones – Méthodologie et application. Edition Eyrolles. (1994) [Google Scholar]
  10. M. F. Harkat, Détection et localisation de défauts par analyse en composantes principales. PhD dissertation. Institut National Polytechnique de Lorraine, Centre de Recherche en Automatique de Nancy (2003) [Google Scholar]
  11. K. Kuniar, Z. Waszczyszyn, Neural networks and principal component analysis for identification of building natural periods, Comp in Civil Eng. J. 20, 431–436(2006) [CrossRef] [Google Scholar]
  12. S. W. Shin, C. B. Yun, H. Futura, J. S. Popovics, Non-destructive evaluation of crack depth in concrete using PCA-compressed wave transmission function and neural networks, Experimental Mechanics 48, 225–231(2008). [CrossRef] [Google Scholar]
  13. B. Boukhatem, S. Kenai, A. Tagnit Hamou, D. Ziou, M. Ghrici, A system for predicting concrete properties using neural networks (NN) with Principal Component analysis (PCA) technique. Computer and Concrete 10,557–574(2012). [CrossRef] [Google Scholar]
  14. S. Valle, L. Weihua, S. J. Qin, Selection of the number of principal components: the variance of the reconstruction error criterion with a comparison to other methods, Indust and Eng Chemistry Research 38, 4389–4401(1999) [CrossRef] [Google Scholar]
  15. A. Benali. Application des réseaux de neurones artificiels pour prédire la capacité portante axiale d'un pieu. Thèse de doctorat, (2016) [Google Scholar]
  16. Eurocode 7, Geotechnical design – general rules. Thomas Telford, London. (2004) [Google Scholar]
  17. AASHTO (2000) LRFD bridge design specification. 2nd ed. Washington, D.C., USA. [Google Scholar]
  18. FHWA.1996. Design and construction of driven pile foundations. US Department of Transportation, Federal Highway Administration, Florida, Report No. FHWA-HI-97-013. [Google Scholar]
  19. MATLAB 7.5 [Google Scholar]
  20. MacKay, D. J. C. 1992. Bayesian interpolation, Neural Computation 4(3): 415–447.PHRI Standard (1980) [Google Scholar]
  21. G. G. Meyerhof, Bearing capacity and settlement of pile foundations. Geotech Eng.J. 102, 1–19(1976). [Google Scholar]
  22. PHRI, Technical standards for port and harbor facilities in Japan. Bureau of Ports and Harbors, Ministry of Transport, Japan (1980) [Google Scholar]
  23. Y. Shioi, J. Fukui, Application of N-value to design of foundation in Japan. in Proceeding of the 2nd ESOPT, Amsterdam, Netherlands. 1, 159–164 (1982) [Google Scholar]
  24. Y. Robert, A few comments on pile design. Canad Geotech. J. 34, 560–567(1997) [CrossRef] [Google Scholar]

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