Prediction of ground vibration induced by blasting operations through the use of the Bayesian Network and random forest models-Reference-Cited by-同舟云学术

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Prediction of ground vibration induced by blasting operations through the use of the Bayesian Network and random forest models

Published:2020-12 Issue: Volume:139 Page:106390
ISSN:0267-7261
Container-title:Soil Dynamics and Earthquake Engineering
language:en
Short-container-title:Soil Dynamics and Earthquake Engineering

Author:

Zhou Jian,Asteris Panagiotis G.,Armaghani Danial Jahed,Pham Binh Thai

Funder

Central South University

Shenghua Lieying Program of Central South University

Publisher

Elsevier BV

Subject

Soil Science,Geotechnical Engineering and Engineering Geology,Civil and Structural Engineering

Reference84 articles.

1. Evaluation of ground vibration effect of blasting operations in a magnesite mine;Ak;Soil Dynam Earthq Eng,2009

2. Prediction of blast-induced ground vibrations via genetic programming;Dindarloo;Int J Min Sci Technol,2015

3. Risk assessment and prediction of flyrock distance by combined multiple regression analysis and Monte Carlo simulation of quarry blasting;Armaghani;Rock Mech Rock Eng,2016

4. Neuro-fuzzy technique to predict air-overpressure induced by blasting;Armaghani;Arab J Geosci,2015

5. Prediction of blast-induced ground vibration using artificial neural network;Khandelwal;Int J Rock Mech Min Sci,2009

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