Comparative Study of the Statistical Methods of Fragility Curve Generation
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Détails bibliographiques
| Auteur(s): |
Shakil Manandhar
(Local Roads Bridge Support Unit, Nepal)
Sushmita Maharjan (Local Roads Bridge Support Unit, Nepal) |
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| Médium: | papier de conférence | ||||
| Langue(s): | anglais | ||||
| Conférence: | IABSE Congress: Engineering for Sustainable Development, New Delhi, India, 20-22 September 2023 | ||||
| Publié dans: | IABSE Congress New Delhi 2023 | ||||
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| Page(s): | 1058-1063 | ||||
| Nombre total de pages (du PDF): | 6 | ||||
| DOI: | 10.2749/newdelhi.2023.1058 | ||||
| Abstrait: |
Fragility function is defined as the graphical representation using the curves to express the occurrence of undesirable event as a function of some measure. Fragility Curves has been developed based on results of incremental dynamic analysis. The common form of seismic fragility function is Log-normal Cumulative Distribution function {CDF). The main objective of the study is to develop the best method to find the value of mean and the standard deviation which gives a minimum deviation to that of real Cumulative Probability Density {CPD). For this we have taken data from [1] VULNERABILITY ASSESSMENT OF MRT 205:1994 BUILDING and formulated a program of “Minimum Difference Method” using python. This study shows the reliability of “Minimum Difference Method” in comparisons to the others existing methods. |
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| Mots-clé: |
bâtiment
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