The study of artificial slope stability has been a key item of geological engineering projects. Though more evaluation methods are available,result of stability evaluation simulation does not explain the actual proble...The study of artificial slope stability has been a key item of geological engineering projects. Though more evaluation methods are available,result of stability evaluation simulation does not explain the actual problem owing to the diversified geological engineering factors and complexity. The author made a detailed study based on surveys of large amount of geological engineering research on Donggang Power Plant slope project,discussed the comprehensive factors influencing the project,and gave analytical calculation and evaluation to the improved response surface of the slope project. The study result shows that the slope is stable,which can provide scientific basis for designing the slope.展开更多
This study adopts a reliability-based optimization approach for the failure mechanism analysis and design of the retaining wall considering nonlinear soil backfills.The assumed failure mechanism is represented by rigi...This study adopts a reliability-based optimization approach for the failure mechanism analysis and design of the retaining wall considering nonlinear soil backfills.The assumed failure mechanism is represented by rigid blocks within a kinematically admissible framework in a rotational coordinate system.Then the active and passive earth pressures are derived from the optimization procedure.A convenient way for incorporating seepage effects is proposed and implemented in the nonlinear upper bound analysis.Finally,a novel response surface method is employed to calculate the failure probability considering different probabilistic scenarios and distribution types with high calculation efficacy.The accuracy of the proposed method is evaluated using the Monte Carlo simulations with 1 million trials.Sensitivity analysis indicated that soil unit weight and initial cohesion are the critical factors dominating the failure probability of passive and active mechanism,respectively.The reliability-based design can be performed to obtain the safe range of the lateral force against nonlinear soil backfills with a target failure probability.展开更多
文摘The study of artificial slope stability has been a key item of geological engineering projects. Though more evaluation methods are available,result of stability evaluation simulation does not explain the actual problem owing to the diversified geological engineering factors and complexity. The author made a detailed study based on surveys of large amount of geological engineering research on Donggang Power Plant slope project,discussed the comprehensive factors influencing the project,and gave analytical calculation and evaluation to the improved response surface of the slope project. The study result shows that the slope is stable,which can provide scientific basis for designing the slope.
文摘This study adopts a reliability-based optimization approach for the failure mechanism analysis and design of the retaining wall considering nonlinear soil backfills.The assumed failure mechanism is represented by rigid blocks within a kinematically admissible framework in a rotational coordinate system.Then the active and passive earth pressures are derived from the optimization procedure.A convenient way for incorporating seepage effects is proposed and implemented in the nonlinear upper bound analysis.Finally,a novel response surface method is employed to calculate the failure probability considering different probabilistic scenarios and distribution types with high calculation efficacy.The accuracy of the proposed method is evaluated using the Monte Carlo simulations with 1 million trials.Sensitivity analysis indicated that soil unit weight and initial cohesion are the critical factors dominating the failure probability of passive and active mechanism,respectively.The reliability-based design can be performed to obtain the safe range of the lateral force against nonlinear soil backfills with a target failure probability.
