| Geomechanics and Engineering Volume 15, Number 4, July20 2018, pages 937-945 DOI: https://doi.org/10.12989/gae.2018.15.4.937 | |
Reliability analysis of a mechanically stabilized earth wall using the surface response methodology optimized by a genetic algorithm | |
Adam Hamrouni, Daniel Dias and Badreddine Sbartai
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| Abstract [Buy Article] | |
| A probabilistic study of a reinforced earth wall in a frictional soil using the surface response methodology (RSM) is presented. A deterministic model based on numerical simulations is used (Abdelouhab et al. 2011, 2012b) and the serviceability limit state (SLS) is considered in the analysis. The model computes the maximum horizontal displacement of the wall. The response surface methodology is utilized for the assessment of the Hasofer-Lind reliability index and is optimized by the use of a genetic algorithm. The soil friction angle and the unit weight are considered as random variables while studying the SLS. The assumption of non-normal distribution for the random variables has an important effect on the reliability index for the practical range of values of the wall horizontal displacement. | |
| Key Words | |
| reinforced earth walls; reliability analysis; surface Response methodology; limit states; approximate performance function; genetic algorithm | |
| Address | |
| Adam Hamrouni: 1.) Department of Civil Engineering, University of Skikda & InfraRES Laboratory, Univ. of Souk-Ahras, Algeria 2.) Grenoble Alpes University, Laboratory 3SR, Grenoble, France Daniel Dias: 1.) Hefei University of Technology, School of Automotive and Transportation Engineering, Hefei, China 2.) Grenoble Alpes University, Laboratory 3SR, Grenoble, France Badreddine Sbartai:Department of Civil Engineering, University of Badji Mokhtar-Annaba & LMGHU Laboratory, Univ. of Skikda, Algeria | |
