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R.H. Lopez¹, L.F. Fadel Miguel¹, J.E.S. de Cursi² and A. El-Hami²

¹Civil Engineering Department
Federal University of Santa Catarina, Florianopolis, Brazil
²Mechanical Engineering Department
National Institute of Applied Sciences (INSA), Rouen, France

doi:10.4203/ccp.102.202

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R.H. Lopez, L.F. Fadel Miguel, J.E.S. de Cursi, A. El-Hami, "Advantages of Using a Recently Developed Full Characterization Method Over FORM", in , (Editors), "Proceedings of the Fourteenth International Conference on Civil, Structural and Environmental Engineering Computing", Civil-Comp Press, Stirlingshire, UK, Paper 202, 2013. doi:10.4203/ccp.102.202

Keywords: uncertainty quantification, reliability analysis, nonlinear limit state functions, full characterization, FORM.

Summary

Although the first order reliability method (FORM) has been widely applied to approximate the probability of failure of engineering systems, it possesses some serious drawbacks, such as, low accuracy and convergence issues. One class of reliability methods that are able to improve the accuracy are the full characterization methods. The solution of these methods is claimed to be very complex, leading to high, sometimes prohibitive, computational cost, especially when compared to FORM. However, the full characterization method recently presented by the authors was shown to be simple to implement, more accurate and of low computational cost. Thus, the main goal of this paper is to demonstrate that it overcomes all the drawbacks of the FORM. Several analytical functions were tested. In all the cases, the full characterization method reached a much better accuracy than the FORM. Furthermore, the computational cost of the proposed method is at least of the same order or lower than the FORM.

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Front Page Browse CCP CSETS CTR IJRT Other Authors Search Purchase Guide FAQ Contact us	Civil-Comp Proceedings ISSN 1759-3433 CCP: 102 PROCEEDINGS OF THE FOURTEENTH INTERNATIONAL CONFERENCE ON CIVIL, STRUCTURAL AND ENVIRONMENTAL ENGINEERING COMPUTING Edited by: Paper 202 Advantages of Using a Recently Developed Full Characterization Method Over FORM R.H. Lopez¹, L.F. Fadel Miguel¹, J.E.S. de Cursi² and A. El-Hami² ¹Civil Engineering Department Federal University of Santa Catarina, Florianopolis, Brazil ²Mechanical Engineering Department National Institute of Applied Sciences (INSA), Rouen, France doi:10.4203/ccp.102.202 purchase the full-text of this paper Full Bibliographic Reference for this paper R.H. Lopez, L.F. Fadel Miguel, J.E.S. de Cursi, A. El-Hami, "Advantages of Using a Recently Developed Full Characterization Method Over FORM", in , (Editors), "Proceedings of the Fourteenth International Conference on Civil, Structural and Environmental Engineering Computing", Civil-Comp Press, Stirlingshire, UK, Paper 202, 2013. doi:10.4203/ccp.102.202 Keywords: uncertainty quantification, reliability analysis, nonlinear limit state functions, full characterization, FORM. Summary Although the first order reliability method (FORM) has been widely applied to approximate the probability of failure of engineering systems, it possesses some serious drawbacks, such as, low accuracy and convergence issues. One class of reliability methods that are able to improve the accuracy are the full characterization methods. The solution of these methods is claimed to be very complex, leading to high, sometimes prohibitive, computational cost, especially when compared to FORM. However, the full characterization method recently presented by the authors was shown to be simple to implement, more accurate and of low computational cost. Thus, the main goal of this paper is to demonstrate that it overcomes all the drawbacks of the FORM. Several analytical functions were tested. In all the cases, the full characterization method reached a much better accuracy than the FORM. Furthermore, the computational cost of the proposed method is at least of the same order or lower than the FORM. purchase the full-text of this paper (price £20) go to the previous paper go to the next paper return to the table of contents return to the book description purchase this book (price £65 +P&P)
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