Extension of reliability information of Z-numbers and fuzzy cognitive map: Development of causality-weighted rock engineering system to predict and risk assessment of blast-induced rock size distribution-Reference-Cited by-同舟云学术

Extension of reliability information of Z-numbers and fuzzy cognitive map: Development of causality-weighted rock engineering system to predict and risk assessment of blast-induced rock size distribution

Published:2024-06 Issue: Volume:178 Page:105779
ISSN:1365-1609
Container-title:International Journal of Rock Mechanics and Mining Sciences
language:en
Short-container-title:International Journal of Rock Mechanics and Mining Sciences

Author:

Zhang Zhiyu,Hosseini Shahab^ORCID,Monjezi Masoud,Yari Mojtaba

Funder

National Natural Science Foundation of China

Publisher

Elsevier BV

Reference45 articles.

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2. Simultaneous prediction of fragmentation and flyrock in blasting operation using artificial neural networks;Monjezi;Int J Rock Mech Min Sci,2010

3. Prediction of airblast-overpressure induced by blasting using a hybrid artificial neural network and particle swarm optimization;Hajihassani;Appl Acoust,2014

4. Evaluation and optimization of prediction of toe that arises from mine blasting operation using various soft computing techniques;Sadeghi;Nat Resour Res,2019

5. 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

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1. Evolution Characteristics of Strain and Displacement Fields in Double-Hole Short-Delay Blasting Based on DIC;Processes;2024-06-21

2. Fracture Behavior and Fracture Surface Smoothness of Rock-Like Model Subjected to Axial Decoupling Spherical Charging;2024