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.
For establishing a prediction model of collapsibility loess for central region of Shanxi Province, 48 groups of loess collapsibility test data have been collected from Taiyuan-Jinzhong area. The mechanism of collapsibility were discussed and based on that the moisture content,void ratio and compressibility were chosen form the test data to be the basic parameter for establishment of prediction model by the method of fuzzy information optimization processing. 40 groups of test data were used to establish the model and 8 groups of test data were used to validate the correctness and applicability of the prediction model. From the validation, the correctness and applicability loess collapsibility prediction model has been confirmed. This method is simple, efficient and practical, which can be applied to evaluate the collapsibility of the loess in Taiyuan-Jinzhong area for future construction engineering.
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