An Optimization Model for Setting Subway Station Foundation Pit Monitoring Item
Xin Liu, Baoning Hong, Peng Zhang, Ke Sheng · 2014
This paper takes probability of status judgment, value-at-risk of foundation pit, and cost of monitoring items into consideration, which related to the influence of foundation pit risk event to establishing a loss function of monitoring items and constructing a model for setting optimizing monitoring items to maximize their effect at the lowest cost, based on Bayes theorem. The safety status of the foundation pit was divided into nine levels. Also divided was the security coefficients obtained by numerical calculating into discrete data based the reliability theory to establish an optimization model as the corresponding calculation method. By calculating and dividing the security coefficient of an engineering example, the foundation pit monitoring items were ascertained through the optimization model, and the results of optimization were analyzed.