Prediction of Settlement of Shallow Footings on Granular Soils using Genetic Algorithm
Keywords:
Foundation Settlement, Genetic Algorithm, Geotechnical Model, Granular SoilsAbstract
In this paper, a genetic algorithm approach is used for predicting the settlement of shallow foundations on granular soils. The development and verification of the genetic model was done using a large database containing about 198 case histories from various published literatures. The results of the model obtained were compared with various empirical equations available for measuring settlement. The correlation of predicted datas with actual field measurements was determined and it was found out that the genetic algorithm approach can be used to fit a function to set of experimental data with a high degree of accuracy. The equation for settlement thus obtained connecting settlement and its contributing factors can be used in predicting settlements for new cases that were not used for the development of the genetic model.
Â
References
A. R. S. S. Bazaraa, ‘‘Use of the standard penetration test for estimating settlements of shallow foundations on sandâ€, PhD thesis, Univ. of Illinois, Urbana, 1967.
Ali R. Zolfaghari , Andrew C. Heath, Paul F. McCombie, “Simple genetic algorithm search for critical non-circular failure surface in slope stability analysisâ€, Journal of Computers and Geotechnics 32 (2005) 139–152, 2004.
Bowles, Joseph, “Foundation Analysis and Designâ€, 2nd edn, McGraw-Hill, New York, 1977.
C. Chan and L. Zhan, “Optimization of Pile Groups Using Hybrid Genetic Algorithms.†J. Geotech. Geoenviron. Eng., 135(4), 497–505, 2009.
C. M. Chan, L. M. Zhang, and T. Jenny, â€Optimization of Pile Groups Using Hybrid Genetic Algorithms.†Journal of Geotechnical and Geoenvironmental Engineering., 135(4), pp 497–505, 2009.
D. J. Douglas, State-of-the-art, Ground Engineering, Vol 19, pp 2-6, 1986.
E. Momeni, E. Nazir, D. Jahed Armaghani, H. Maizir, “Prediction of pile bearing capacity using a hybrid genetic algorithm-based ANNâ€, J. Geotech. Geoenviron. Eng.,137(5), 462-468, 2014.
G. G. Meyerhof. “Shallow foundationsâ€, Journal of the Soil Mechanics and Foundations Division, ASCE, Vol. 91(SM2), pp. 21–31, 1965.
H. E. Wahls.â€Settlement analysis for shallow foundations on sandâ€, Proc., 3rd Int. Geotechnical Engineering Conf., Cairo, Egypt, 7–28, 1997.
H. Shahnazari, M. A. Shahin, M. A. Tutunchian, “Evolutionary-based approaches for settlement prediction of shallow foundations on cohesionless soilsâ€, International journal of civil engineering, No. 4, Vol. 7, pp. 236-247, 2013.
J. B. Burland, and M. C. Burbidge, “Settlement of foundations on sand and gravelâ€, Proc., Inst. Civ. Eng., Part I, 78(6), 1325–1381, 1985.
J. Koza, “Genetic programming on the programming of computers by means of natural selectionâ€, Cambridge (MA): MIT Press, 813 p, 1992.
J. L. Briaud, and R. Gibbens ‘‘Behavior of five large spread footings in sandâ€, Journal of Geotechnical & Geoenvironmental Engineering, 125(9), 787–796, 1999.
Lijie Cui, Daichao Sheng, “Genetic algorithms in probabilistic finite element analysis of geotechnical problemsâ€, Journal of Computers and Geotechnics 32 (2005) 555–563, 2005.
M. A. Shahin, H. R. Maier, M. B. Jaksa. “Predicting settlement of shallow foundations using neural networksâ€, Journal of Geotechnical and Geoenvironmental Engineering, ASCE, No. 9, Vol. 128, pp. 785–793, 2002.
M. C. Burbidge, “A case study review of settlements on granular soilâ€, MSc. thesis, Imperial College of Science and Technology, Univ. of London, London, 1982.
M. Picornell, and E. Del Monte, “Prediction of settlement of cohesive granular soilsâ€, Proc., Measured Performance of Shallow Found., Nashville, Tenn., 55–72, 1988.
M. Rezania, A. Javadi. “A new genetic programming model for predicting settlement of shallow foundationsâ€, Canadian Geotechnical Journal, No. 12, Vol. 44, pp. 1462-1473, 2007.
Paul McCombie, Philip Wilkinson, “The use of simple genetic algorithm in finding the critical factor of safety in slope stability analysisâ€, Computers and Geotechnics,Volume 29, Issue 8, Dec, pp 699–714, 2002.
S. Levasseur,Y. Malécot, Y. Boulon and E. Flavigny, “Soil parameter identification using a genetic algorithmâ€, International Journal for Numerical and Analytical Methods in Geomechanics, Volume 32, Issue 2, pp 189–213, 2008.
Downloads
Issue
Section
License
- Papers must be submitted on the understanding that they have not been published elsewhere (except in the form of an abstract or as part of a published lecture, review, or thesis) and are not currently under consideration by another journal published by any other publisher.
- It is also the authors responsibility to ensure that the articles emanating from a particular source are submitted with the necessary approval.
- The authors warrant that the paper is original and that he/she is the author of the paper, except for material that is clearly identified as to its original source, with permission notices from the copyright owners where required.
- The authors ensure that all the references carefully and they are accurate in the text as well as in the list of references (and vice versa).
- Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Attribution-NonCommercial 4.0 International that allows others to share the work with an acknowledgement of the work's authorship and initial publication in this journal.
- Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgement of its initial publication in this journal.
- Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work (See The Effect of Open Access).
- The journal/publisher is not responsible for subsequent uses of the work. It is the author's responsibility to bring an infringement action if so desired by the author.
