LI Zhong, YANG Jun. Stability analysis of slope under complex stress conditions based on multi-population genetic algorithm[J]. 2015, 36(5): 1488-1495.
LI Zhong, YANG Jun. Stability analysis of slope under complex stress conditions based on multi-population genetic algorithm[J]. 2015, 36(5): 1488-1495.DOI: 10.16285/j.rsm.2015.05.033.
The limit equilibrium method plays a dominate role in the slope stability analysis
but the method is usually based on certain hypotheses
without considering the nonlinear stress-strain relationship of soil
so it can’t be used to analyze the stability of slopes which fail to reach the limit state or are reinforced. To solve the problem
combining the finite element analysis with multi-population genetic algorithm (MPGA)
a general numerical model about the stability analysis of slope under complex stress conditions is proposed. The model can solve safety factor by numerical stress field
and construct fitness function for MPGA
and then use MPGA to provide the slip surface for the safety factor calculation. To ensure the analysis efficiency and rationality
the initial slip surface is generated dynamically according to its development trend and a constraint condition is also added to the slip surface. Finally
by the stability analysis of the homogeneous slope and the slope with weak interlayers
the method is verified to be rational. It’s also proved that the method can be applied in reinforced slopes under complex stress conditions by analyzing the stability of soil-nailed slope.