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- Title
The Improvement and Comparison of Blast Vibration Velocity Prediction Method.
- Authors
Chen, Chunhui; Wu, Li; Chen, Xiaodi; Li, Bo; Peng, Yaxiong
- Abstract
In this study, based on the least square criterion, the process of calculating the unknown parameters (k, α) in Sodev’s empirical formula is demonstrated. By using substitution to linearize the Sodev’s empirical formula, the cause of error is illustrated. Three improved methods are presented. Also, according to the monitoring data obtained from the blast engineering, these four methods have been applied to fit the monitoring data and to predict blast vibration velocity. The compared results indicate all of these four methods have high precision in the blast vibration velocity prediction; the least square method, new least squares method and nonlinear regression secant method are all based on the empirical formula which just involves two blast parameters, so they are not as accurate as artificial neural network analysis.
- Subjects
LEAST squares; ARTIFICIAL neural networks; ERROR analysis in mathematics; BLAST effect; REGRESSION analysis
- Publication
Geotechnical & Geological Engineering, 2018, Vol 36, Issue 3, p1673
- ISSN
0960-3182
- Publication type
Article
- DOI
10.1007/s10706-017-0422-6