- Genetic programming for predictions of effectiveness of rolling dynamic compaction with dynamic cone penetrometer test results
- R.A.T.M. Ranasinghe ; M.B. Jaksa ; F. Pooya Nejad ; Y.L. Kuo
- Book Title / Journal: Journal of Rock Mechanics and Geotechnical Engineering
- Year: 2019 , Volume: 11
- Rock Mechanics
- Keywords: ground improvement ; Rolling dynamic compaction (RDC) ; Linear genetic programming (LGP) ; Dynamic cone penetrometer (DCP) test
- Abstract
Rolling dynamic compaction (RDC), which employs non-circular module towed behind a tractor, is an innovative soil compaction method that has proven to be successful in many ground improvement applications. RDC involves repeatedly delivering high-energy impact blows onto the ground surface, which improves soil density and thus soil strength and stiffness. However, there exists a lack of methods to predict the effectiveness of RDC in different ground conditions, which has become a major obstacle to its adoption. For this, in this context, a prediction model is developed based on linear genetic programming (LGP), which is one of the common approaches in application of artificial intelligence for nonlinear forecasting. The model is based on in situ density-related data in terms of dynamic cone penetrometer (DCP) results obtained from several projects that have employed the 4-sided, 8-t impact roller (BH-1300). It is shown that the model is accurate and reliable over a range of soil types. Furthermore, a series of parametric studies confirms its robustness in generalizing data. In addition, the results of the comparative study indicate that the optimal LGP model has a better predictive performance than the existing artificial neural network (ANN) model developed earlier by the authors. PDF |
- Application of artificial neural networks for predicting the impact of rolling dynamic compaction using dynamic cone penetrometer test results
- R.A.T.M. Ranasinghe ; M.B. Jaksa ; Y.L. Kuo ; F. Pooya Nejad
- Book Title / Journal: Journal of Rock Mechanics and Geotechnical Engineering
- Year: 2017 , Volume: 9
- Rock Mechanics
- Keywords: Rolling dynamic compaction (RDC) ; ground improvement ; Artificial neural network (ANN) ; Dynamic cone penetration (DCP) test
- Abstract
Rolling dynamic compaction (RDC), which involves the towing of a noncircular module, is now widespread and accepted among many other soil compaction methods. However, to date, there is no accurate method for reliable prediction of the densification of soil and the extent of ground improvement by means of RDC. This study presents the application of artificial neural networks (ANNs) for a priori prediction of the effectiveness of RDC. The models are trained with in situ dynamic cone penetration (DCP) test data obtained from previous civil projects associated with the 4-sided impact roller. The predictions from the ANN models are in good agreement with the measured field data, as indicated by the model correlation coefficient of approximately 0.8. It is concluded that the ANN models developed in this study can be successfully employed to provide more accurate prediction of the performance of the RDC on a range of soil types. PDF |
- Assessing the Effectiveness of Rolling Dynamic Compaction
- J.H. Jiang ; A.C. Crisp ; C.N. Power ; A.C. Bradley ; B.T. Scott ; M.B. Jaksa ; Y.L. Kuo
- Proceedings of the 18th International Conference on Soil Mechanics and Geotechnical Engineering, Paris, September 2-6 2013
- Year: 2013
- Ground Improvement ; Soil Mechanics
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- The effect of limited site investigations on the design of pile foundations
- A. Arsyad ; M.B. Jaksa ; G.A. Fenton ; W.S. Kaggwa
- 17th International Conference on Soil Mechanics and Geotechnical Engineering (Alexandria)
- Year: 2009
- Site Characterization & In-situ Testing (General) ; Cone Penetration Testing (CPT) ; Pile Foundations
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- Ground energy and impact of rolling dynamic compaction – results from research test site
- D.L. Avalle ; B.T. Scott ; M.B. Jaksa
- 17th International Conference on Soil Mechanics and Geotechnical Engineering (Alexandria)
- Year: 2009
- Ground Improvement ; Instrumentation
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- Management, training and education in geotechnical engineering
- M.B. Jaksa ; K.K.S. Ho ; M.A. Woodward
- 17th International Conference on Soil Mechanics and Geotechnical Engineering (Alexandria)
- Year: 2009
- Other Geotechnical
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- Reliability of site investigations using different reduction techniques for foundation design
- G.A. Fenton ; J.S. Goldsworthy ; D.V. Griffiths ; M.B. Jaksa ; G.W.S. Kaggwa ; H.G. Poulos
- ICOSSAR 2005, G. Augusti, G.I. Schueller, M. Ciampoli (eds), Millpress, Rotterdam, ISBN 90 5966 040 4
- Year: 2005
- Foundation Design / Construction
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- Influence of site investigations on the design of pad footings
- G.A. Fenton ; J.S. Goldsworthy ; D.V. Griffiths ; M.B. Jaksa ; G.W.S. Kaggwa ; Y.L. Kuo ; H.G. Poulos
- 9th Australia-New Zealand Conference on Geomechanics, Auckland, Vol. 1, 282-288
- Year: 2004
- Foundation Design / Construction
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- Engineering and Design: Soil Sampling
- J.S. Goldsworthy ; M.B. Jaksa ; G.W.S. Kaggwa ; G.A. Fenton ; D.V. Griffiths ; H.G. Poulos
- Engineering Manual EM 1110-1-1906. U.S.Army Corps of Engineers, Washington, DC
- Year: 2004
- Site Characterization & In-situ Testing (General)
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- Generalised Geotechnical Engineering Design Properties of the Keswick and Hindmarsh Clays
- M.B. Jaksa ; W.S. Kaggwa
- Proceedings of the 7th Australia New Zealand Conference on Geomechanics, Adelaide, pp. 897-902
- Year: 2004
- Soil Mechanics
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- Modelling the Effects of Vegetation on Stability of Slopes
- W.S. Kaggwa ; D.V. Griffiths ; Y.H. Chok ; M.B. Jaksa
- Proceedings, 9th Australia New Zealand Conference on Geomechanics, Auckland, PP. 391-397
- Year: 2004
- Foundation Design / Construction
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- Reliability Analysis of a Strip Footing Designed Against Settlement
- G.A. Fenton ; D.V. Griffiths ; M.B. Jaksa ; Haiying Zhou
- Proceedings of the 9th International Conference on Applications of Statistics and Probability in Civil Engineering (ICASP9), San Francisco, Jul 2003
- Year: 2003
- Foundation Design / Construction
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- A framework for quantifying the reliability of geotechnical investigations
- M.B. Jaksa ; G.W.S. Kaggwa ; G.A. Fenton ; H.G. Poulos
- Applications of Statistics and Probability in Civil Engineering, Der Kiureghian, Madanat & Pestana (eds), Millpress, Rotterdam
- Year: 2003
- Site Characterization & In-situ Testing (General)
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- Influence of Large Gum Trees on the Soil Suction Profile in Expansive Soils
- M.B. Jaksa ; W.S. Kaggwa ; J.A. Woodburn
- Australian Geomechanics, Vol. 37, No. 1, pp. 23-33
- Year: 2002
- Soil Mechanics
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- Geotechnical Risk and Inadequate site investigations: A Case Study
- M.B. Jaksa
- Geomechanics, Vol. 35 No. 2
- Year: 2000
- Site Characterization & In-situ Testing (General)
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