Kriging Kriging-based side slope system failure probability calculation method
A failure probability and slope technology, applied in complex mathematical operations, etc., can solve problems that are not suitable for complex slope systems and difficult positioning, and achieve the effect of reducing the number of initial sample points and improving calculation efficiency
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[0072] In order to make the above objects, features and advantages of the present application more obvious and comprehensible, the present application will be further described in detail below in conjunction with the accompanying drawings and specific implementation methods.
[0073] refer to figure 1 , shows a flow chart of the steps of a method for calculating the failure probability of a slope system based on Kriging in the present application, which may specifically include the following steps:
[0074] Step S1: In the standard normal space, use the initial sampling point strategy to generate the training sample set of the slope system;
[0075] Reasonable selection of initial sample points can speed up the convergence of the training process. The initial training sample set can be constructed with Latin Hypercube Sampling (LHS), but this may not be suitable for some models with low probability of failure, since it must contain two classes of points (e.g., G(u) > 0 and G(...
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