Predicting Research For Residential House’s Damage From Blasting Vibration

Prediction and control of blasting vibration is always one of the major topics, which are paid attention by the major coal producing countries in the world, in the case of exploitation of open-pit mine, blasting seismic wave propagation influenced by the special deep concave terrain conditions. Many troubles, the damage of surrounding buildings structure, casualties, and nearby residents between civil disputes, are caused by blasting vibration. Therefore. It is important to predicting the effect of blasting vibration, in order to ensure the normal production of the mine, and the safety of adjacent buildings.It was established that was the multivariate statistical analysis method for prediction of the blasting vibration. Ten indexes, i.e., blasting vibration amplitude, dominant frequency, dominant frequency duration, gray joints intensity, the rate of brick walls, height of housing, roof forms, the structural column of circle beam, the quality of construction and site conditions, were used as analysis variables of the problem. It was implemented that was to analyze the first indexes of house’s damage by getting the correlation and multiple linear. Five indexes, i.e., blasting vibration amplitude, dominant frequency, dominant frequency duration, height of housing, roof forms, were used as the characteristic indexes after binary logistic analysis. It was implemented that was to analyze the second indexes of house’s damage by getting the different combination conditions in contrast. Three indexes, i.e., blasting vibration amplitude, dominant frequency duration, height of housing, were the terminal indexes after multiple logistic analyses. It was established that was the SVM model for prediction of residential house’s damage against blasting vibration of open pit mining. The result shows that indexes were lower correlated and the number was lower after multivariate statistical analysis, the prediction model had better prediction results.