New Prediction Model of Blast-Induced PPV Based on Empirical Approach in Sedimentary Rock

Abstract

Prediction models of peak particle velocity (PPV) in blasting operation have been developed by many researchers, but all the previous researches mostly referred to the concepts of waves and rocks. There is not much development of PPV prediction model based on empirical approach that is specific in sedimentary rock blasting. This study aims to build a PPV prediction model in sedimentary rocks based on empirical and statistical approaches. The study was conducted on sedimentary rocks which have hardness ranging from 1 MPa to 5 MPa. The analysis used the monitoring result of PPV from blasting operation and statistical method to develop the PPV model. PPV model based on the U.S. Bureau of Mines (USBM) as a theoretical model was compared with PPV model based on field data as a proposed model. The PPV obtained from USBM model did not fit the rock characteristics based on the actual data, so a new model was proposed. The new model considers the distance between observation point and blast hole (D) and the quantity of explosive charge (Q) as independent variables. The new model has mean absolute percentage error (MAPE) of 25.50%, 1.72% better than that of the USBM model. By considering the explosive charge (Q) and the distance to observation point (D) in modeling with regression analysis, seismic velocity and rock mass density can be represented by sitespecific condition constants. The site-specific constants refer to rock constant and propagation constant, which are 5670.882 and 0.6269 in the new model that has been built.