Research Article

Prediction of Landslide Position of Loose Rock Mass at Mountain Tunnel Exit

Table 1

Summary of prediction method.

Prediction methodThe existing research
ResearcherResearch means and results

Field monitoring measurementLu et al. [14]Put forward the standard value of landslide warning index
Osman et al. [15]Put forward a criterion of landslide identification

Various nonlinear theories and algorithmsXu [16]A gray cusp catastrophe model
Hao et al. [17]The Verhulst function model
Cui et al. [18]
Chen et al. [19]Nonlinear time series model based on ε-SVR (support vector regression) algorithm
Jiang [20]Nonlinear time series model based on PSO-SVR algorithm

Numerical analysisKim [21]Finite element
Faria [22]
Xiang et al. [23]
Alija et al. [24]
Zhang [25]Boundary element
Liu et al. [26]Discrete element
Geometric methodWang et al. [27]Obtained the instability criterion of loose rock at tunnel exit based on a simplified mechanics model