Study on evaluation of grouting effects using artificial neural network

For planning of dam construction and management of construction, it is important to quantitatively evaluate grouting works on improvement of water tightness. The paper proposes that an evaluation system can be modeled based on a neural network using resistivity data measured on site. Sensitivity analysis is carried out using this system. From the above analysis, an experimental process and the sense of an engineer can be described with the model of the relationship between the variation of resistivity and the states of grouting put into rock mass