A platform for research: civil engineering, architecture and urbanism
A platform for research: civil engineering, architecture and urbanism
Application of multivariate analysis for prediction of blast-induced ground vibrations
Abstract Prediction of ground vibration is of great importance in mitigation of blast-induced adverse effects. In this research, an innovative multivariate analysis procedure for prediction of blast-induced ground vibration is presented. Several blasts performed in a sandstone quarry were brought together and an extensive blast database is created. Blast design parameters, and the parameters related to ground vibration were considered to perform multivariate analysis. The hierarchical cluster analysis was used to separate the blasts data into different groups of similarity. Group memberships were analyzed and confirmed by the discriminant analysis. A linear discriminant equation was created to classify prospective blasts. Regression analysis was applied to develop prediction equations for the estimation of blast induced ground vibration. Validation analysis of the proposed equations was performed using test blasts. Prediction capability of the proposed models was found to be strong.
Highlights ► An extensive multivariate analysis procedure for prediction of blast-induced ground vibration is presented. ► Application of the multivariate analysis in stages is a new approach to predict ground vibration. ► Different vibration prediction models are created in accordance with the blast design parameters. ► The proposed procedures have a higher accuracy than conventional approaches.
Application of multivariate analysis for prediction of blast-induced ground vibrations
Abstract Prediction of ground vibration is of great importance in mitigation of blast-induced adverse effects. In this research, an innovative multivariate analysis procedure for prediction of blast-induced ground vibration is presented. Several blasts performed in a sandstone quarry were brought together and an extensive blast database is created. Blast design parameters, and the parameters related to ground vibration were considered to perform multivariate analysis. The hierarchical cluster analysis was used to separate the blasts data into different groups of similarity. Group memberships were analyzed and confirmed by the discriminant analysis. A linear discriminant equation was created to classify prospective blasts. Regression analysis was applied to develop prediction equations for the estimation of blast induced ground vibration. Validation analysis of the proposed equations was performed using test blasts. Prediction capability of the proposed models was found to be strong.
Highlights ► An extensive multivariate analysis procedure for prediction of blast-induced ground vibration is presented. ► Application of the multivariate analysis in stages is a new approach to predict ground vibration. ► Different vibration prediction models are created in accordance with the blast design parameters. ► The proposed procedures have a higher accuracy than conventional approaches.
Application of multivariate analysis for prediction of blast-induced ground vibrations
Hudaverdi, Turker (author)
Soil Dynamics and Earthquake Engineering ; 43 ; 300-308
2012-08-05
9 pages
Article (Journal)
Electronic Resource
English
Application of multivariate analysis for prediction of blast-induced ground vibrations
| Online Contents | 2012
Application of multivariate analysis for prediction of blast-induced ground vibrations
| British Library Online Contents | 2012
The importance of site-specific characters in prediction models for blast-induced ground vibrations
| British Library Online Contents | 2008
The importance of site-specific characters in prediction models for blast-induced ground vibrations
| Online Contents | 2008