Artificial intelligence design charts for predicting friction capacity of driven pile in clay
Author:
Publisher
Springer Science and Business Media LLC
Subject
Artificial Intelligence,Software
Link
http://link.springer.com/content/pdf/10.1007/s00521-018-3555-5.pdf
Reference38 articles.
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2. McVay MC, Birgisson B, Zhang LM, Perez A, Putcha S (2000) Load and resistance factor design (LRFD) for driven piles using dynamic methods—a Florida perspective. Geotech Test J 23(1):55–66
3. Yang L, Liang R (2006) Incorporating set-up into reliability-based design of driven piles in clay. Can Geotech J 43(9):946–955
4. Seo H, Yildirim IZ, Prezzi M (2009) Assessment of the axial load response of an H pile driven in multilayered soil. J Geotech Geoenviron Eng 135(12):1789–1804
5. Kim D, Lee J (2012) Resistance factor contour plot analyses of load and resistance factor design of axially-loaded driven piles in clays. Comput Geotech 44:9–19
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