Abstract
Spatial distribution of pore pressure change is the good information to know the effect of construction works on groundwater flow. It has been pointed that the pore pressure change at an arbitrary point can be well evaluated from the data measured at other points by using linear and non linear models. Furthermore, it has been clarified that soft computing techniques such as Artificial Neural Network (ANN) and Genetic Algorithm (GA) are the powerful tool to evaluate the parameters included in these models. In this paper, the change of pore pressure in the rock mass around the site of Mizunami underground research Laboratory (MIU) was analyzed by the linear model. GA was used for estimating parameters in the model. It was found that this technique can be used for the evaluation of spatial distribution of pore pressure change.
