Prediction and distribution law of the collapsibility coefficient of loess in a geological longitudinal section of highway
By thoroughly analyzing existing data from collapsible loess experiments,a predictive model for the collapsibility coefficient based on the Kriging interpolation method was established.Using the Daqing Highway section of the G244 line(from K1+640 to K10+640)as a case study,the collapsibility coefficient of loess was predicted through interpolation,utilizing a limit-ed amount of measured data of the collapsibility coefficient,and then,a contour map was drawn along the longitudinal section.The predicted values of the collapsibility coefficient were compared with the measured values,and the two-dimensional spatial distribution pattern of the collapsibili-ty coefficient was analyzed.The results demonstrate the following:(1)The interpolation method for the collapsibility coefficient of loess based on the Kriging method is feasible,producing rea-sonable interpolation results that meet the engineering requirements of the accuracy and practical application of loess collapsibility.(2)By utilizing the contour map of the collapsibility coefficient of loess and the"0.015"judgment method,the critical depth of loess collapsibility was deter-mined.The variation in the critical depth of loess collapsibility is relatively gradual compared to changes in the surface slope,with the depth of collapsibility in valley areas(3-8 m)notably less than that in the mountainous region(15-25 m).(3)Moving downward from the surface,the collapsibility coefficient of loess initially increases with the increase in the depth,then decreases until it falls below 0.015,indicating the disappearance of collapsibility.(4)At the same sampling depth,the moisture content in river valleys exceeds that in the loess hilly region.Under low self-weight pressure,the collapsibility coefficient in river valleys is greater than that in the loess hilly region.However,as self-weight stress gradually increases,the collapsibility coefficient in the loess hilly region surpasses that in river valleys.
collapsibility coefficient of loessKriging methodsemivariogram modeldistribution law of longitudinal section
万方数据
维普
