边坡勘察钻孔信息价值评价及优化布置方法
摘要
The conventional method to optimize the slope investigation program is usually assigned with complicated concept and arduous computational efforts.Also, the quantitative evaluation of slope failure loss is required, which is not convenient in practice.In this paper it aims to solve the above problem with a suggested method based on training of response surfacebased machine learning model with incomplete features.The relationship between the factor of safety and the site investigation data is established.Then a prediction function is imported and calibrated with simulated samples.This method adopts the root mean square error of factor of safety as the indicator to assess the effectiveness of slope borehole program .The algorithm is provided and applied in an illustrative example of an undrained slope.The results accord well with those reported in literatures.The suggested method provides an efficient way to assess the effectiveness of site investigation program for slope.It has the characteristics of clear concept, simple algorithm and convenient calculation.Also the computational efforts are greatly reduced.This method will be more acceptable for practitioners.