Genetic-based modeling of uplift capacity of suction caissons

Expert Systems with Applications

Volumn 38, Issue 10, 2011, Pages 12608-12618

  Alavi, Amir Hossein ^a   Aminian, Pejman ^b   Gandomi, Amir Hossein ^c   Esmaeili, Milad Arab ^b  

^a IRAN UNIVERSITY OF SCIENCE AND TECHNOLOGY   (Iran)

^b ISLAMIC AZAD UNIVERSITY   (Iran)

^c TAFRESH UNIVERSITY   (Iran)

Author keywords

Formulation; Gene expression programming; Linear genetic programming; Standard genetic programming; Suction caissons; Uplift capacity

Indexed keywords

FORMULATION; GENE EXPRESSION PROGRAMMING; LINEAR GENETIC PROGRAMMING; SUCTION CAISSONS; UPLIFT CAPACITY;

CAISSONS; FOUNDATIONS; GENE EXPRESSION; HYDRAULIC STRUCTURES; PRESSURE VESSELS;

GENETIC PROGRAMMING;

EID: 79958005983     PISSN: 09574174     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.eswa.2011.04.049     Document Type: Article

References (33)

1. A.H. Alavi, and A.H. Gandomi A robust data mining approach for formulation of geotechnical engineering systems Engineering Computations 28 3 2011 242 274
2. A.H. Alavi, A.H. Gandomi, M. Mousavi, and A. Mollahasani High-precision modeling of uplift capacity of suction caissons using a hybrid computational method Geomechanics and Engineering 2 4 2010 253 280
3. C.P. Aubeny, and J.D. Murff Simplified limit solutions for the capacity of suction anchors under undrained conditions Ocean Engineering 32 2005 864 877 (Pubitemid 40306742)
4. W. Banzhaf, P. Nordin, R. Keller, and F. Francone Genetic programming - An introduction: on the automatic evolution of computer programs and its application 1998 Morgan Kaufmann Heidelberg/San Francisco, USA
5. A. Baykasoglu, H. Gullu, H. Canakci, and L. Ozbakir Prediction of compressive and tensile strength of limestone via genetic programming Expert Systems with Applications 35 1-2 2008 111 123
6. M. Brameier, and W. Banzhaf Linear genetic programming 2007 Springer Science + Business Media New York, USA
7. A. Cevik, and A.F. Cabalar Modelling damping ratio and shear modulus of sand-mica mixtures using genetic programming Expert Systems with Applications 36 4 2009 7749 7757
8. M. Conrads, O. Dolezal, F.D. Francone, and P. Nordin Discipulus - Fast genetic programming based on AIM learning technology 2004 Register Machine Learning Technologies Inc. Littleton, CO
9. W. Deng, and J.P. Carter A theoretical study of the vertical uplift capacity of suction caissons International Journal of Offshore and Polar 12 2 2002 89 97 (Pubitemid 34735949)
10. C. Ferreira Gene expression programming: A new adaptive algorithm for solving problems Complex Systems 13 2 2001 87 129
11. C. Ferreira Gene expression programming: Mathematical modeling by an artificial intelligence 2nd ed. 2006 Springer-Verlag Germany
12. I.E. Frank, and R. Todeschini The data analysis handbook 1994 Elsevier Amsterdam, The Nederland
13. A.H. Gandomi, A.H. Alavi, M.R. Mirzahosseini, and F. Moqhadas Nejad Nonlinear genetic-based models for prediction of flow number of asphalt mixtures Journal of Materials in Civil Engineering (ASCE) 23 3 2011 248 263
14. A.H. Gandomi, A.H. Alavi, and G.J. Yun Formulation of uplift capacity of suction caissons using multi expression programming KSCE Journal of Civil Engineering 15 2 2011 363 373
15. A.H. Gandomi, A.H. Alavi, S. Kazemi, and M.M. Alinia Behavior appraisal of steel semi-rigid joints using linear genetic programming Journal of Constructional Steel Research 65 8-9 2009 1738 1750
16. A.H. Gandomi, A.H. Alavi, and M.G. Sahab New formulation for compressive strength of CFRP confined concrete cylinders using linear genetic programming Materials and Structures 43 7 2010 963 983
17. Hogervorst, J. R. (1980). Field trials with large diameter suction piles. In Proceedings of offshore technology conference, Houston, Texas, USA, OTC 3817 (pp. 217-224).
18. A. Johari, G. Habibagahi, and A. Ghahramani Prediction of soil-water characteristic curve using genetic programming Journal of Geotechnical and Geoenvironmental Engineering 132 5 2006 661 665
19. J.R. Koza Genetic programming: On the programming of computers by means of natural selection 1992 MIT Press Cambridge (MA), USA
20. Maniar, D. R. (2000). A computational procedure for simulation of suction caisson behavior under axial and inclined loads. Ph.D. Thesis, The University of Texas at Austin.
21. Maravall, A., & Gomez, V. (2004). EViews Software, Ver. 5, Quantitative Micro Software, LLC, Irvine CA.
22. J.D. Murff, and J.M. Hamilton P-ultimate for undrained analysis of laterally loaded piles Journal of Geotechnical Engineering 119 1 1993 91 107 (Pubitemid 23392470)
23. M. Oltean, and C. Grosan A comparison of several linear genetic programming techniques Complex Systems 14 4 2003 1 29
24. V.G.A. Pai Prediction of uplift capacity of suction caissons using a neuro-genetic network Engineering with Computers 21 2005 129 139
25. Poli, R., Langdon, W. B., McPhee, N. F. & Koza, J. R. (2007). Genetic programming: An introductory tutorial and a survey of techniques and applications. Technical report [CES-475]. UK: University of Essex.
26. M.S. Rahman, J. Wang, W. Deng, and J.P. Carter A neural network model for the uplift capacity of suction caissons Computers and Geotechnics 28 2001 269 287 (Pubitemid 32403591)
27. D. Ramakrishnan, T.N. Singh, N. Purwar, K.S. Barde, A. Gulati, and S. Gupta Artificial neural network and liquefaction susceptibility assessment: A case study using the 2001 Bhuj earthquake data, Gujarat, India Computational Geoscience 12 2008 491 501
28. M.F. Randolph, and G.T. Houlsby The limiting pressure on a circular pile loaded laterally in cohesive soil Geotechnique 34 4 1984 613 623 (Pubitemid 15436216)
29. Randolph, M. F., O'Neill, M. P., & Stewart, D. P. (1999). Performance of suction anchors in finegrained calcareous soils. In Proceedings of offshore technology conference, Houston, Texas, USA, OTC 8831 (pp. 521-529).
30. T.P. Ryan Modern regression methods 1997 New York (NY) Wiley
31. K.T. Sun, Y.C. Lin, C.Y. Wua, and Y.M. Huang An application of the genetic programming technique to strategy development Expert Systems with Applications 36 2009 5157 5161
32. K. Swingler Applying neural networks a practical guide 1996 Academic Press New York
33. Whittle, A. J., Germaine, J. T., & Cauble, D. F. (1998). Behavior of miniature suction caissons in clay. In Offshore site investigation and foundation behaviour new frontiers: Proceedings of an international conference, London, UK (pp. 279-300).