Slope failures occur frequently in many parts of Japan in rainy seasons every year. It is necessary for disaster prevention, to predict the occurrence of slope failure. Recently, a calculation speed of calculator have made rapid progress and improved. Therefore, numerical simulation model is used frequently to predict slope failure. However, much time and labor become necessary in order to set input data to these models. In this study, easy set up method of input data to slope failure-predicting model from a handy dynamic cone penetrometer, was proposed. Following matters were found through this study. Bulk density and porosity show dependable logarithmic correlation to the magnitude of
Nc value. Still more, saturated hydraulic conductivity shows dependable powers correlation to the magnitude of
Nc value. By using these approximate expressions, soil characteristic coefficients to slope failure-predicting model can be decided without soil test in sandstone region. Further, in order to estimate thickness of surface soil layer without detailed investigation, boundary
Nc value-predicting model was presented. Applying this model to this study area, boundary
Nc value was understood to be 9 in sandstone region. Taking these results into consideration, it was clarified that the magnitude of
Nc value would be a parameter indicating soil physical properties and thickness of surface soil layer. Furthermore, by investigating vertical distribution of
Nc value from a handy dynamic cone penetrometer test, it is possible to estimate input data to slope failure-predicting model easily by means of boundary
Nc value-predicting model. Therefore, these methods proposed in this study, can become an effective measure to predict collapse quickly, by being linked with slope failure-predicting model.
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