2011Highway EngineeringRequires access

Reliability Analysis on Slope Stability Based on Accelerating Genetic Algorithm in Seismic Area

You Wang

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Abstract

The factor of safety method,which is the traditional evaluating method in slope safety degree based on the limit equilibrium theory,is difficult to reflect the uncertainty slope engineering.However the slope stability reliability analysis method based on probability analysis,can take full account of the mean and variance of rock and soil parameters.The slope reliability index is calculated by accelerating genetic algorithm,and the most dangerous slip surface is searched by it which can avoid the nesting of genetic algorithm,reduce the amount of computation and greatly improve the efficiency in this paper.Combined with the real project of cutting slope in k4+040 in Lixian to Xiaojin Road(Lixian Section) which is the reconstruction project of partner assistance on Lixian by Hunan Province,reliability analysis shows that under normal working conditions,the slope safety coefficient is 1.305 and meet the specification requirements.Its reliability index Pf is equal to 10.21%,and the slope is in good stability.But under the case 3 which possible exists the earthquake and precipitation,the safety coefficient is 1.060,and the slope basically is in the limit equilibrium state whose reliability index Pf is equal to 5.87% and the slope is in less stable.Therefore,the proposed reinforcement optimization program,provide a reference for future similar projects.

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What this paper is about

The factor of safety method,which is the traditional evaluating method in slope safety degree based on the limit equilibrium theory,is difficult to reflect the uncertainty slope engineering.However the slope stability reliability analysis method based on probability analysis,can take full account of the mean and variance of rock and soil parameters.The slope reliability index is calculated by accelerating genetic algorithm,and the most dangerous slip surface is searched by it which can avoid the nesting of genetic algorithm,reduce the amount of computation and greatly improve the efficiency in this paper.Combined with the real project of cutting slope in k4+040 in Lixian to Xiaojin Road(Lixian Section) which is the reconstruction project of partner assistance on Lixian by Hunan Province,reliability analysis shows that under normal working conditions,the slope safety coefficient is 1.305 and meet the specification requirements.Its reliability index Pf is equal to 10.21%,and the slope is in good stability.But under the case 3 which possible exists the earthquake and precipitation,the safety coefficient is 1.060,and the slope basically is in the limit equilibrium state whose reliability index Pf is equal to 5.87% and the slope is in less stable.Therefore,the proposed reinforcement optimization program,provide a reference for future similar projects.

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Available abstract

The factor of safety method,which is the traditional evaluating method in slope safety degree based on the limit equilibrium theory,is difficult to reflect the uncertainty slope engineering.However the slope stability reliability analysis method based on probability analysis,can take full account of the mean and variance of rock and soil parameters.The slope reliability index is calculated by accelerating genetic algorithm,and the most dangerous slip surface is searched by it which can avoid the nesting of genetic algorithm,reduce the amount of computation and greatly improve the efficiency in this paper.Combined with the real project of cutting slope in k4+040 in Lixian to Xiaojin Road(Lixian Section) which is the reconstruction project of partner assistance on Lixian by Hunan Province,reliability analysis shows that under normal working conditions,the slope safety coefficient is 1.305 and meet the specification requirements.Its reliability index Pf is equal to 10.21%,and the slope is in good stability.But under the case 3 which possible exists the earthquake and precipitation,the safety coefficient is 1.060,and the slope basically is in the limit equilibrium state whose reliability index Pf is equal to 5.87% and the slope is in less stable.Therefore,the proposed reinforcement optimization program,provide a reference for future similar projects.

Key concepts: Reliability (semiconductor), Safety factor, Slope stability analysis, Slope stability, Genetic algorithm, Stability (learning theory), Factor of safety, Slip (aerodynamics)

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