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What is First Order Second Moment Method

Chapter 7
Handbook of Research on Computational Simulation and Modeling in Engineering
First Order Second Moment Method considers the parameter as uncertain variables. In this, the mean and covariance are determined by using moment values of the parameters. Then the model was developed based on constraint state formulation.
Published in Chapter:
Reliability Analysis of Slope Using MPMR, GRNN and GPR
Dhivya Subburaman (VIT University, India), Jagan J. (VIT University, India), Yıldırım Dalkiliç (Erzincan University, Turkey), and Pijush Samui (National Institute of Technology Patna, India)
Copyright: © 2016 |Pages: 17
DOI: 10.4018/978-1-4666-8823-0.ch007
Abstract
First Order Second Moment Method (FOSM) is generally for determination of reliability of slope. This article adopts Minimax Probability Machine Regression (MPMR), Generalized Regression Neural Network (GRNN) and Gaussian Process Regression (GPR) for reliability analysis of slope by using FOSM. In this study, an example of soil slope is given regarding how the proposed GPR-based FOSM, MPMR-based FOSM and GRNN-based FOSM analysis can be carried out. GPR, GRNN and MPMR have been used as regression techniques. A comparative study has been carried out between the developed GPR, MPMR and GRNN models. The results show that MPMR gives better performance than the other models.
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