Evaluation of Influential Factors on the Dynamic Compaction Operation of Granular Soils Based on Fuzzy Method

Authors

Abstract

Dynamic compaction (DC) technique with tamping is one of the soil improvement methods. Nowadays, there is a considerable interest in DC due to its advantages among the methods of soil improvement. In the present study, fuzzy logic and Sugeno inference system have been used to evaluate the influence of parameters involved in dynamic compaction over the depth of improvement. Input variables are used for loose granular soils and include tamper weight, height of tamping, tamper radius, print spacing, number of drops and soil layer geotechnical properties and four improvement depth of relative degree as output variables. Input and output data are extracted from the reliable scientific literature. Following development of the fuzzy model, the results of this study has been validated with the results of valid Dynamic Compaction operation in the world. Then as a case study with using the prepared model, Dynamic Compaction Operation in Shahid Rajaee Port in Iran has been analyzed. The results indicate that the effect of tamper weight is greater than the height of tamping and print spacing is in third importance grade. The interaction between tamper weight and dropping height plays the greatest role in the design procedures. Studies show that the optimal tamper radius for most compaction patterns with medium to high applied energies is equal 1.5 to 2 meters, the optimal dropping numbers are equal 25 and optimal print spacing is equal 6 to 7 meters so using this pattern leads to obtain maximum improvement depth.

Keywords

References

1-      
[1] Menard, L., Broise, Y. (1975). "Theoretical and practical aspects of dynamic consolidation". JGeotechnique, Vol.  25, No. 1, pp. 3-16.
[2] Zadeh, L. A. (1997). "Toward a theory of fuzzy information granulation and its centrality in human reasoning and fuzzy logic". Fuzzy Sets and Systems, 90, pp. 111–117.
[3] Xue, X-H., W.H. Zhang and H-J. Liu. (2007). "Evaluation of slope stability based on genetic algorithm and fuzzy neural network". Rock and Soil Mechanics, Vol. 28, No. 12, pp. 2643-2648. (In Chinese)
[4] Chen, Ch-F., Zh-Y, Xiao and G. B, Zhang. (2011). "Stability assessment model for epimetamorphic rock slopes based on adaptive Neuro-fuzzy inference system". Electronic Journal of Geotechnical Engineering, Vol. 16, pp. 93-107.
[5] Monjezi, M. and M Rezaei. (2011). "Developing a new fuzzy model to predict burden from rock geomechanical properties". Expert Systems with Applications, Vol. 38, No. 8, pp. 9266-9273.
[6] Acaroğlu, O. (2011). "Prediction of thrust and torque requirements of TBMs with fuzzy logic models". Tunnelling and Underground Space Technology, Vol. 26, No. 2, pp. 267-275.
[7] Alipour, A. and M. Ashtiani. (2011). "Fuzzy modeling approaches for the prediction of maximum charge per delay in surface mining". Int J Rock Mech Min Vol. 48, No. 2, pp. 305-310.
[8] Kong Wei-Xue., Lu, Xin.,Zheng Y.R. (2002). "Fuzzy predetermination of effective reinforcement depth of dynamic consolidation". Rock and Soil Mechanics, China, Vol. 23, No. 6.
[9] Wang. Yan., Li. X. B., Jiang. W.D. (2003)."Application of fuzzy model of multi-objective system to optimization of parameters of dynamic compaction". Rock and Soil Mechanics, China, Vol. 24, No. 3, pp. 410-412.
[10] Ghazavi. M., Pasdarpour.M., Sadrnejad. S. A. (2006). "Fuzzy system modeling of dynamic compaction in granular soils". Proceedings of the sixth International Conference on physical Modelling in Geotechnics, Hong Kong, pp. 4-6.
[11] Mamdani, E. H., Assilian, S. (1975). "An experiment in linguistic synthesis with a fuzzy logic controller". Int J Man Mach Stud 7 (1) , pp. 1-13.
[12] Li-Xin Wang. (1997). "A Course in fuzzy systems and control". Prentice Hall, NJ.
[13] Sugeno, M., Takagi, T. (1985). "Fuzzy identification of systems and its application to modelling and control". IEEE Trans Syst Man Cybern, No. 15, pp. 116–132.
[14] Arshdeep, K., Amrit, K. (2012). "Comparison of Mamdani-Type and Sugeno-Type Fuzzy Inference Systems for Air Conditioning System". International Journal of Soft Computing and Engineering (IJSCE) ISSN: 2231-2307, Vol. 2, Issue-2.
[15] Oshima, A. and Takada, N. (1997). "Relation between compacted area and ram momentum by heavy tamping". Proceeding, International Conference on Soil Mechanics and Foundation Engineering, Vol. 3, pp. 1641-1644.
[16] Oshima, A. and Takada, N. (1998). "Evaluation of compacted area of heavy tamping by cone point resistance". Proceeding of centrifuge 98, pp. 813-818.
[17] Lee, F. H. and Gu, Q. (2004). "Method for estimating dynamic compaction effect on sand". Journal of Geotechnical and Geoenvironmental Engineering, Vol. 130, No. 2, pp. 139-152.
[18] Lo, K.W. and Ooi, P. L. and Lee, S. March. (1990). "Unified Approach to Ground Improvement by Heavy Tamping". Journal of Geotechnical Engineering, Vol. 116, No. 3, pp. 514-523.
[19] Briaud, J. L., Noubani, A., Kilgore, J., and Tucker, L. M. (1985). "Correlation between pressuremeter data and other parameters". Civil Engineering Research Report, Texas A&M Univ., Tex.
[20] Mayne, P.W., Jones, J.S., Dumas, J.C. (1984). "Ground Response to Dynamic Compaction". ASCE 110, No.GT6, pp. 757-773.
[21] Lukas, R.G. (1995). "Dynamic compaction". Geotechnical Engineering Circular, No. 1, Publication No. FHWA-SA-95-037, Federal Highway Administration, Office of Engineering, Office of Technology Applications, Washington, DC.
[22] Gu, Q., Lee, F. H. (2002). "Ground response to dynamic compaction of dry sand". Geotechnique 52, No. 7, pp. 481-493.
[23] Asli Celikyilmaz, I. Burhan. Turksen. (2009). "Modeling uncertainty with fuzzy logic with recent theory and applications". University of California, Berkeley, Springer-Verlag Berlin Heidelberg.
[24] Lee, S. L., Yong, K. Y., Tham, S. W., Singh, J., and Chen, W. P. (1989). "Treatment of examining land by fiberdrains, surcharge and high energy impact". Symposium on the Application of Geosynthetic and Geofibre in South Asia, Selangor, Sect. 5, pp. 18–22.
[25] Yong, D. M. (1993). "Ground improvement by dynamic compaction". PhD thesis, National Univ. of Singapore, Singapore, pp. 88–91.
[26] Box, G. E. P., Hunter, J. S. (1978). "Statistics for experimenters". New York, John Wiley and Sons.
[27] Manguistics Inc. (2000). "Statgraphics 5.0 Plus". User's Guide.
[28] Lukas, R. G. (1992). "Dynamic compaction engineering consolidations". Grouting/soil improvement and geosynthetics, geotechnical special publication No. 30, Vol. 2, ASCE, New York, pp. 940-953.
[29] Nouri, H.R., Ali-Elahi, H., Jalili, M., Seyedi, E. (2008). "Evaluation of Empirical Relationships for Dynamic Compaction in liquefiable Reclaimed Silty Sand Layers using Pre/Post Cone Penetration Tests". 6th conference on Case Histories in Geotechnical Engineering, Arlington.
[30] علی الهی، حمید، (1389). "طراحی دیوارهای دیافراگمی بتنی درجا بر مبنای سطح عملکرد لرزه­ای آن­ها". چهارمین همایش بین‌المللی مهندسی ژئوتکنیک و مکانیک خاک ایران، تهران، ایران.
[31] H. Alielahi., H. Nouri., B. Ebrahimian. (2009). "Performance based design of Shahid Rajaee diaphragm wall: pseudo-static and dynamic perspective". International Conference on Performance-Based Design in Earthquake Geotechnical Engineering (ISTokyo2009).
 
Journal of Modeling in Engineering
Volume 13, Issue 43
January 2016
Pages 143-158

Files

History

  • Receive Date: 28 January 2017
  • Revise Date: 16 September 2017
  • Accept Date: 28 January 2017

Share

How to cite

Statistics