Application of a variable weight cloud model in the slope health assessment of existing expressways
To explore the influence of weights assigned to existing health assessment indicators on the evaluation outcomes for expressway slopes,this paper examines 16 indicators that affect slope health and refines their respective weights.Based on this analysis,a health assessment method is proposed that integrates variable weight theory with the cloud model.This approach offers a scientific basis for developing preventive maintenance plans for slopes.Firstly,through an analysis of the factors influencing slope health,we establish a health assessment indicator system that encompasses two dimensions:structural integrity and functional performance.Secondly,we establish fixed weights for the assessment indicators using the principal sequence method.Simultaneously,we adjust these fixed weights based on the measured values of the slope health detection indicators by applying variable weight theory.This process enables us to construct a variable weight cloud model for slope health assessment.This model captures the dynamic nature of health assessment.Finally,we apply this assessment method to an expressway slope project and analyze the differences in evaluation results between the two weighting schemes.Through sensitivity analysis,we identify the indicators that significantly influence variations in assessment results.The research findings reveal that,regardless of the weighting scheme applied,the comprehensive assessment results for slope health consistently fall within the sub-healthy category.Compared to the fixed weights,the variable weight cloud model demonstrates a trend toward a more critical condition,emphasizing the dynamic influence of the measured indicator values on the assessment results.It is noteworthy that the assessment indicators with a significant impact include slope height,rock occurrence,internal friction angle,degree of fracture development,and permeability coefficient.To enhance the effectiveness of preventive maintenance plans for slopes,this paper recommends prioritizing the improvement of these key assessment indicators.By doing so,we can mitigate the decline in slope health and ensure its continued safe operation.
safety engineeringslope engineeringhealth assessmentchange of rightscloud model