Optimization of Shear Wave Velocity (Vs) from a Post-Liquefaction Settlement Using a Genetic Algorithm Multi-Objective NSGA II

Kamel Goudjil; Badreddine Sbartai

doi:10.15866/ireme.v11i3.11226

Optimization of Shear Wave Velocity (Vs) from a Post-Liquefaction Settlement Using a Genetic Algorithm Multi-Objective NSGA II

Kamel Goudjil^(1*), Badreddine Sbartai⁽²⁾

^(*) Corresponding author

Authors' affiliations

DOI: https://doi.org/10.15866/ireme.v11i3.11226

Abstract

Several studies applied heuristic methods such as neuronal networks (ANN), genetic algorithms (GA) and particle swarm optimization (PSO) to predict and optimize soil parameters. Therefore, the aim of the present paper is to optimize shear wave velocity of soil. In this direction, the genetic algorithm NSGA II was used to find the optimum values of shear wave velocity of soil that give an actual value of 0.3m settlement post-liquefaction. The results show that our genetic algorithm has been successfully employed to optimize the shear wave velocity (vs) with acceptable test errors of (R2=0.9999, RMSE=4.029). Moreover, this algorithm can be easily used for prediction and optimization of other geotechnical systems. The genetic algorithm can solve other problems in this field than the presented in this study.
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Keywords

Genetic Algorithm (NSGA II); Liquefaction; Shear Wave Velocity; Settlement

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References

F. I. Makdisi and H. B. Seed, A Simplified Procedure for Estimating Dam and Embankment Earthquake-Induced Deformations, Journal of the Geotechnical Engineering Division, 1978, Vol. 104, Issue 7, Pg. 849-867

Randolph, M. F. Randolph, PIGLET: A Computer Program for the Analysis and Design of Pile Groups Under General Loading Conditions, Soil Report TR91, CUED/D, Cambridge University, Cambridge, England1980.

J. Lysmer, T. Udaka, C. F. Tsai and H. B. Seed, H. B. 1975, FLUSH A Computer Program for Approximate 3-D Analysis at Soil Structure Interaction Problems, Report N°. UCB/EERC-75/30, Earthquake Engineering Research Center, University of California, Berkeley, California 1975.

F. E. Richart, J. R. Hall and R.D. Woods, Vibrations of Soils and Foundations, Prentice-Hall International Series in Theoretical and Applied Mechanics 1970.

J. C. Chen, J. Lysmer and H. B. Seed, Analysis of Local Variations in Free Field Seismic Ground Motions, Earthquake Engineering Research Center, Report No. UCB/EERC-81/03, Berkeley, California 1981.

R.D. Andrus and, K.H.II. Stokoe, Liquefaction resistance of soils from shear-wave velocity, Journal of Geotechnical and Geoenvironmental Engineering, ASCE126:11, 1015-1025, 2000.
http://dx.doi.org/10.1061/(asce)1090-0241(2000)126:11(1015)

B. R. Wair, J. T. DeJong and T. Shantz, Guidelines for Estimation of Shear Wave Velocity Profiles, Pacific Earthquake Engineering Research Center, Report December 2012.

B. Derras and A. Bekkouche, Estimation de la vitesse maximale du sol par la méthode des réseaux de neurones artificiels. Journées Nationales de Géotechnique et de Géologie de l’Ingénieur, Grenoble 7-9 juillet 2010

H. M. Abasi, A. Eslami and P. T. Shourijeh, Shear Wave Velocity by Polynomial Neural Networks and Genetic Algorithms Based on Geotechnical Soil Properties’ Arabian Journal Science Engineering , April 2013.

K. Deb, S. Agrawal, A. Pratap, and T. Meyarivan, A Fast and Elitist Multi objective Genetic Algorithm: NSGA-II, Journal IEEE Transactions on Evolutionary Computation, Volume 6 Issue 2, April 2002. Page 182-197.

M. Idriss and R. W. Boulanger, Soil Liquefaction during Earthquake, Earthquake Engineering Research Institute, EERI Publication MNO-12, 2008.

J.D. Schaffer, Multiple Objective Optimization with Vector Evaluated Genetic Algorithms, Proceedings of the First International Conference on Genetic Algorithms, Pg. 93-100, 1985.

F.Yi, Procedure to evaluate liquefaction induced settlement based on shear wave velocity. Ninth US National and tenth Canadian Conference on Earthquake Engineering, 2010.

N. Hasancebi and R. Ulusay, Empirical correlations between shear wave velocity and penetration resistance for ground shaking assessments, Bull. Eng. Geology and the Environment, 66:203–213, 200

Jafari, H., Mahmoudi, M., Ahmadkhani, F., A Complementary SVC-Based Controller Design for Damping Both Local and Inter-Area Oscillating Modes Using NSGA-II Algorithm, (2016) International Review of Electrical Engineering (IREE), 11 (1), pp. 69-77.
http://dx.doi.org/10.15866/iree.v11i1.7607

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