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Volume 1, Number 1, June 2020 , pages 043-62 DOI: https://doi.org/10.12989/mca.2020.1.1.043 |
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Determination of reliability index of the retaining wall using artificial intelligence techniques |
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Pratishtha Mishra, Pijush Samui and Sanjeev Sinha
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| Abstract | ||
| Reliability analysis of the geo-structures has contributed a lot to the field of Geotechnical Engineering. This area of study gives an overview of the probability of failure of different structures. First-order second-moment method (FOSM) is a method, incorporated in this study, to determine the reliability index of the geo-structures (and other structures as well). In this paper, design of retaining wall is modelled using Functional Network (FN), Genetic Programming (GP) and Group Method of Data Handling (GMDH). These soft computing techniques have removed the cumbersome nature of the problem and have increased the precision of the result. The uncertainties involved in this problem is reduced. As these methodologies are evolved and are heated topics in the artificial intelligence field, they have eliminated the drawbacks of several other soft computing methods involved previously in the reliability problems. These methodologies employ genetic algorithm (GMDH) and make use of domain knowledge along with data knowledge accordingly (FN). These techniques have made problems facile and can produce a precise result. Performance of these methods has been assessed using different performance analysis, criterions and parameters. This paper is a comparative study between FOSM, FN based FOSM, GP based FOSM and GMDH based FOSM. | ||
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| Address | ||
| Pratishtha Mishra, Pijush Samui and Sanjeev Sinha:Department of Civil Engineering Department, National Institute of Technology Patna, Bihar, India | ||
