OPTIMAL DESIGN OF RESTRAINED SHEET PILE WALLS | ||
| Journal of Advanced Engineering Trends | ||
| Article 8, Volume 39, Issue 2, July 2020, Pages 109-120 PDF (751.59 K) | ||
| DOI: 10.21608/jaet.2020.77730 | ||
| Authors | ||
| Ahmed Mousa1; Remon Isaac1; Mohamed Eid1; Ahmed S. Mohamed* 2 | ||
| 1Associate Professor, Faculty of Engineering – Minia University, Egypt | ||
| 2Post Graduate Student, Faculty of Engineering – Minia University, Egypt | ||
| Abstract | ||
| Restrained shoring wall represents a commonly used economic solution for vertical deep excavation, when open cuts with side slopes are not allowed. It is mainly used to avoid failure that may be accompanied by considerable settlements, tilting or by bearing capacity failure of nearby foundations. The cost of these systems mainly depended on soil type and excavation depth. In this research, strutted shoring systems are analyzed and designed for sandy soil conditions and excavation depth 15m. The system is optimized using Genetic Algorithm. Finite Element Method is used for the analysis. The designed problem is formulated as a non-linear mathematical programming problem using FORTRAN 95. The developed model is used for parametric study to investigate the influence of different design parameters on the system cost. Genetic Algorithm, is used to perform the optimization study based on the minimum cost. The optimization process aims to minimize the system cost considering both deformation and stress constraints for the ground soil and construction material. | ||
| Keywords | ||
| Restrained Sheet Pile Wall; Optimization; Genetic Algorithm; Finite Element Analysis; Deep Excavation | ||
| References | ||
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[1] A. I. Mana, G. W. Clough, G.W. 1981. Prediction of movements for braced cuts in clay. Journal of Geotechnical Engineering, American Society of Civil Engineers, vol. 107, pp. 759-777, 1981. [2] S.S. Chowdhury, K. Deb, A. Sengupta, Estimation of Design Parameters for Braced Excavation: Numerical Study. International Journal of Geomechanics, 13(3), pp.234-247, 2012. [3] M. A. Eid, and R. Isaac, Application of Genetic Algorithms to Strutted Sheet Pile Design Optimization: VII European Congress on Computational Methods in Applied Sciences and Engineering M. Papadrakakis, V. Papadopoulos, G. Stefanou, V. Plevris (eds.) Crete Island, Greece, 5–10 June 2016. [4] L. Rutkowski, Computational Intelligence: Methods and Techniques. Springer, 2008. [5] D. E. Goldberg, Genetic Algorithms in Search, Optimization and Machine Learning. Addison-Wesley Publishing Company, Inc., NY., 1989. [6] J. Holland, Adaptation in Natural and Artificial Systems (2nd ed.). The University of Michigan Press: Michigan, 1975; MIT Press: Cambridge, MA, 1992. [7] G. Swoboda, Programmsystem FINAL, Finite Element Analysis Linearer und Nichtlinearer Stukturen, Version 7.1, Druck Universität Innsbruck, Austria, 2001. [8] N. Turkkan, Discrete Optimization of Structures Using a Floating Point Genetic Algorithm. Annual Conference of the Canadian Society for Civil Engineering, Moncton, Nouveau - Brunswick, Canada, GCM-134/1-8, 2003. [9] T. G. Bautechnik, Sheet piling Handbook. ThyssenKrupp Services, 2007. Where: WEL : is the wall embedded length. WS : is the wall section. SS : is the strut section. S.(1) : is the position of strut (1) from the ground surface. S.(2) : is the position of strut (2) from the ground surface. S.(3) : is the position of strut (3) from the ground surface. - 119 - [10] M. A. Eid, M. Z. Abdelrehim, F. A. Elkashef and G. Swoboda, Optimization of Ground Improvement Techniques in Tunnelling Using Genetic Algorithms, 5th European Conference on Computation Mechanics (ECCM 2010), Paris, France, May 2010 | ||
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