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| Titel |
A genetic-algorithm approach for assessing the liquefaction potential of sandy soils |
| VerfasserIn |
G. Sen, E. Akyol |
| Medientyp |
Artikel
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| Sprache |
Englisch
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| ISSN |
1561-8633
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| Digitales Dokument |
URL |
| Erschienen |
In: Natural Hazards and Earth System Science ; 10, no. 4 ; Nr. 10, no. 4 (2010-04-09), S.685-698 |
| Datensatznummer |
250008074
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| Publikation (Nr.) |
 copernicus.org/nhess-10-685-2010.pdf |
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| Zusammenfassung |
| The determination of liquefaction potential is required to take into
account a large number of parameters, which creates a complex
nonlinear structure of the liquefaction phenomenon. The conventional
methods rely on simple statistical and empirical relations or
charts. However, they cannot characterise these complexities.
Genetic algorithms are suited to solve these types of problems. A
genetic algorithm-based model has been developed to determine the
liquefaction potential by confirming Cone Penetration Test datasets
derived from case studies of sandy soils. Software has been
developed that uses genetic algorithms for the parameter selection
and assessment of liquefaction potential. Then several estimation
functions for the assessment of a Liquefaction Index have been
generated from the dataset. The generated Liquefaction Index
estimation functions were evaluated by assessing the training and
test data. The suggested formulation estimates the liquefaction
occurrence with significant accuracy. Besides, the parametric study
on the liquefaction index curves shows a good relation with the
physical behaviour. The total number of misestimated cases
was only 7.8% for the proposed method, which is quite low when
compared to another commonly used method. |
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