DocumentCode :
2626011
Title :
Discussion on influencing factors of dominant frequency of blasting seismic waves based on model of dimensional analysis and neural network
Author :
Wei, Haixia
Author_Institution :
Sch. of Civil Eng., Henan Polytech. Univ., Jiaozuo, China
fYear :
2011
fDate :
27-29 June 2011
Firstpage :
3192
Lastpage :
3195
Abstract :
Because of short duration, quick mutation, large randomness and many influencing factors of blasting seismic waves, variation characteristics for dominant frequency of blasting seismic signals have no obvious law to follow. Commonly experts only take two factors including maximal section explosive and blasting center distance into consideration for convenience. Prediction model for dominant frequency of blasting seismic waves was respectively built based on theory of dimensional analysis and neural network, only considering two factors of maximal section explosive and blasting center distance. With field-acquired data, feasibility of the two models was analyzed. It is suggested that more factors be considered in the course of theoretical analysis and collecting of filed data to obtain more reasonable multifactor model for dominant frequency.
Keywords :
detonation waves; mining; neural nets; seismic waves; blasting center distance; blasting seismic signals; blasting seismic waves; dimensional analysis; dominant frequency; field-acquired data; influencing factors; maximal section explosive; multifactor model; neural network; prediction model; quick mutation; Analytical models; Artificial neural networks; Data models; Explosives; Predictive models; Seismic waves; Vibrations; blasting seismic waves; dimensional analysis; dominant frequency; neural network; prediction model;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer Science and Service System (CSSS), 2011 International Conference on
Conference_Location :
Nanjing
Print_ISBN :
978-1-4244-9762-1
Type :
conf
DOI :
10.1109/CSSS.2011.5974987
Filename :
5974987
Link To Document :
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