Probabilistic prediction of settlement in double-layerd super-soft underconsolidated ground
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Abstract
The pattern of double-layered super-soft underconsolidated ground composed of hydraulic fill and marine mud is the most common situation in land reclamation projects. The settlement of this ground is different from the original marine deposit mud layer, showing greater discreteness. The settlement of the combination ground is analyzed by statistical methods. Through the statistical analysis of the actual settlement data, the optimum probability distribution model for the settlement data is confirmed by the K-S finite contrast method. The results of probability prediction by using the distribution model are consistent with the actual statistics, and the rationality of probability analysis is validated.
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