Volume 14, Issue 27 (7-2018)                   2018, 14(27): 59-68 | Back to browse issues page

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Ghaffarpour Jahromi S, Izanloo R. Use of Genetics Algorithm in Estimating Bearing Capacity of Pile under Dynamic Load . Journal Of Marine Engineering. 2018; 14 (27) :59-68
URL: http://marine-eng.ir/article-1-654-en.html
Faculty of Civil Engineering, Shahid Rajaee Teacher Training University
Abstract:   (463 Views)
Pile foundations provide support for structures, transferring their load to layers of soil or rock that have sufficient bearing capacity and suitable settlement characteristics. There are a very wide range of foundation types available, suitable for different applications, depending on considerations. There are various methods to estimate the axial bearing capacity of the pile such as experimental, analytical and in-situ experiments. Accurate estimation of bearing capacity is essential in geotechnical engineering due to the high cost of implementing deep foundations, that use of artificial intelligence and genetic algorithms can be helpful in this regard. In this study compressive bearing capacity for two prefabricated concrete and steel pipe evaluated under harmonic load using modeling in finite element software (Plaxis 2D), and the results were compared with the Dynamic Load Testing (PDA) data in a case study. In this research, the results of 100 numerical analyzes have been optimized using a genetic algorithm that resulted in the introduction of an estimated relationship with the accuracy of the pile bearing axial bearing capacity for concrete and metal piles. In this study, comparing different methods of assessing the bearing capacity of piles indicates the fact that most empirical methods provide a much larger load capacity compared to actual values.
Full-Text [PDF 1098 kb]   (323 Downloads)    
Type of Study: Research Paper | Subject: Offshore Structure
Received: 2018/01/26 | Accepted: 2018/08/5

1. Mandolini A., Laora A. and Mascarucc Y. (2013), Rational Design of Piled Raft, 11th International Conference on Modern Building Materials, Structures and Techniques, Vilnius Gediminas Technical University, Procedia Engineering, Vol. 57, p. 45–52. [DOI:10.1016/j.proeng.2013.04.008]
2. Alnuaim, A., Naggar, H., Naggar, M. (2014), Performance of Micropiled Raft in Sand Subjected to Vertical Concentrated Load: Centrifuge Modeling, Canadian Geotechnical Journal, Vol. 52, No. 1, p. 33-45. [DOI:10.1139/cgj-2014-0001]
3. Mohamed A. Shahin, (2014), Load–settlement modeling of axially loaded steel driven piles using CPT-based recurrent neural networks, Soils and Foundations, Vol. 54, No. 3, p. 515-522. [DOI:10.1016/j.sandf.2014.04.015]
4. Lee, K. M. and Xiao, Z. R. (2013), A Simplified Nonlinear Approach for Pile Group Settlement Analysis in Multilayered Soils, Canadian Geotechnical Journal, Vol. 38, No. 5, p. 1063-1080. [DOI:10.1139/t01-034]
5. Kim, H. T., Yoo, H. K., and Kang, I. K. (2001), Genetic Algorithm-Based Optimum Design of Piled Raft Foundations with Model Tests, Geotechnical Engineering, Vol. 33, p. 1-11.
6. Belevičius, B., Ivanikovas, S., Šešok, D., Valentinavičius, S., Žilinskas, J. (2011), Optimal Placement of Piles in Real Grillages Experimental Comparison of Optimization Algorithms, 124X Information Technology and Control, Vol. 40, No. 2, p. 22-36.
7. Momeni, E., Nazir, R., Jahed Armaghani, D., Maizir, H. (2014), Prediction of pile bearing capacity using a hybrid genetic algorithm-based ANN, Measurement, Vol. 57, No. 1, p. 122–131. [DOI:10.1016/j.measurement.2014.08.007]
8. Beranti M., Golashani A. and Yasrebi Sh. (2014), Determination of Bearing Capacity for Driven Piles in Sandy Soils by Using Artificial Neural Network Method, Modares Civil Engineering Journal, Vol. 14, No. 20, p. 27-36. (In Persian)
9. Padfield, C. J., and Sharrock, M. J. (1983), Settlement of Structures on Clay Soils, Construction Industry Research and Information Association (CIRIA), U.K.
10. Hwang J., Chung M., Juang D., Lyu Y., and Juang C. (2011), Practical optimization of group piles using discrete Lagrange multiplier method, Optimization and Engineering, Vol. 12, No.1-2, p. 83-109. [DOI:10.1007/s11081-010-9117-z]
11. Reul, O. and Randolph M. F. (2003), Piled rafts in overconsolidated clay: Comparison of in situ measurements and numerical analyses, Geotechnique, Vol. 53, No. 3, p. 301- 315. [DOI:10.1680/geot.2003.53.3.301]
12. Feng Yu and Jun Yang, (2012), Base Capacity of Open-Ended Steel Pipe Piles in Sand, Journal of Geotechnical and Geoenvironmental Engineering Vol. 138, Issue 9. [DOI:10.1061/(ASCE)GT.1943-5606.0000667]
13. Fellenius B. H., (1980), The Analysis of Results from Routine Pile Load Test. Ground Engineering, Geotechnical News Magazine
14. Smith E. A. (1986), Pile Driving Analysis by the Wave Equation, Journal of Soil Mechanics and Foundations, Division 86.
15. Goble G., Rausche F., and Moses F. (1970), Dynamic Studies on the Bearing Capacity of Piles - Phase III, Final Report to the Ohio Department of Highways, Case Western Reserve Univ, Cleveland, Ohio.
16. Vesic S. (1977), Design of Pile Foundation, National Cooperative Highway Research Program Synthesis of Practice, Vol. 42, Washington, DC.
17. Meyerhof G. (1976), Bearing Capacity and Settlement of Pile Foundation, Journal of the Geotechnical Engineering Division, Vol. 110, No.1, p. 197-228.
18. Coyle M. and Castello R., (1981), New Design Correlations for Piles in Sand, Journal of the Geotechnical Engineering Division, Vol. 107, p. 967-986.
19. Beraja M Das, (2016), Principles of Foundation Engineering, 7th Edition, Published by Cengage.
20. Momeni H., Maizir, H., Gofar, N., Nazir, M., (2013), Comparative Study on Prediction of Axial Bearing Capacity of Driven Piles in Granular Materials, Journal Teknologi, Vol. 61, No.3, p. 25-37. [DOI:10.11113/jt.v61.1777]
21. Khoshkho M, Keyhanina A. and Firooznia A. (2015), Case Study Investigation of Bearing Capacity of Steel Piles in Coastal Projects of Assaluyeh Region and Comparison of Results of Dynamic and Static Bearing Capacity Experiments, Second National Conference on Soil Mechanics and Engineering, Qom University of Technology. (In Persian)
22. FelleniusB., (1980), The Analysis of Results from Routine Pile Load Test, Ground Engineering, Geotechnical News Magazine.
23. Lebeau J. (2008), FE-Analysis of Piled and Piled Raft Foundations, Graz University of Technology.
24. Momeni, E. Nazir, R., Jahed Armaghani, D. and Maizir, H (2014), Prediction of Pile Bearing Capacity Using a Hybrid Genetic -based ANN, Vol. 57, No. 2, p. 122-131. [DOI:10.1016/j.measurement.2014.08.007]
25. Goldberg, D. E. (1989), Genetic Algorithms in Search, Optimization and Machine Learning, Addison-Wesley, New York.
26. Bavi O. and Salehi M. (2015), Genetic Algorithms and Optimization of Composite Structures, Abed Publication, Tehran. (In Persian)

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