Application of Fuzzy Information Optimization Technology on Analysis of Loess Landslide Stability
The fuzzy information optimization method is applied to the loess landslide stability analysis. Based on the laboratory tests and field investigation, considering the influence of the five main factors such as cohesive force, internal friction angle, the landslide slope landslide, height and earthqu...
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Published in | Applied Mechanics and Materials Vol. 321-324; pp. 2389 - 2395 |
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Main Authors | , , , |
Format | Journal Article |
Language | English |
Published |
Zurich
Trans Tech Publications Ltd
01.06.2013
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Subjects | |
Online Access | Get full text |
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Summary: | The fuzzy information optimization method is applied to the loess landslide stability analysis. Based on the laboratory tests and field investigation, considering the influence of the five main factors such as cohesive force, internal friction angle, the landslide slope landslide, height and earthquake ground motion parameters of the loess landslide, the fuzzy information optimization method like information distribution, information focus and other methods were used to evaluate the stability of loess landslide. The results show that the result of assessment was in accord with the actual condition. The evaluation method is applicable to the loess region. Compared to the limit equilibrium method, it improves engineering economic benefits. |
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Bibliography: | Selected, peer reviewed papers from the 2013 International Conference on Mechatronics and Industrial Informatics 1st ICMII 2013, March 13-14, 2013, Guangzhou, China |
ISBN: | 3037856947 9783037856949 |
ISSN: | 1660-9336 1662-7482 1662-7482 |
DOI: | 10.4028/www.scientific.net/AMM.321-324.2389 |