Prediction of Vibration Velocity due to Blasting Using Artificial Neural Network

Fu Qiang Gao; Ai Jun Hou

doi:10.4028/www.scientific.net/AMM.170-173.3063

Paper Titles

Cause Analysis and Countermeasures of Emulsified Explosive Misfire in Vertical Shaft Frozen Zone Excavation Blasting
p.3046

The Trial Research of Soil-Water Characteristic Curves of Unsaturated Soil and its Engineering Application
p.3050

Application Study on Dynamic Compaction Technology in Mine Tailings Foundation Reinforcement
p.3054

Modal Analysis of the Main Frame of Horizontal Type High-Pressure Grouting Machine Based on ANSYS
p.3059

Prediction of Vibration Velocity due to Blasting Using Artificial Neural Network
p.3063

Field Design of Jet Grouting Parameters on Soilcrete Columns
p.3068

Construction Technology of Lift Slab with Concrete Filled Steel Tube Columns
p.3072

Finite Element Analysis of Static Characteristic for Gantry Crane
p.3077

Study on Installation Technique for Steel Structure Dome
p.3081

HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 170-173Prediction of Vibration Velocity due to Blasting...

Prediction of Vibration Velocity due to Blasting Using Artificial Neural Network

Abstract:

Vibration induced by blasting is one of the most hazardous events in the mining industry and may cause structural damage in country areas. Therefore, mitigating the possible hazard and predicting the vibration velocity is important. In this paper, an attempt has been made to predict the peak particle velocity using artificial neural network (ANN) by taking into consideration of maximum explosive charge used per delay and distance between blast face to monitoring point. To achieve the classic framework of this approach, the prediction results by artificial neural network were compared with measured values by coefficient of determination (CoD) and sum of squares due to error (SSE).

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Periodical:

Applied Mechanics and Materials (Volumes 170-173)

Pages:

3063-3067

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.170-173.3063

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Online since:

May 2012

Authors:

Fu Qiang Gao, Ai Jun Hou

Keywords:

Artificial Neural Network (ANN), Blasting Vibration, Classic Framework, Coefficient of Determination, Sum of Squares due to Error

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