35 Years of (AI) in geotechnical engineering: state of the art
AM Ebid - Geotechnical and Geological Engineering, 2021 - Springer
It was 35 years ago since the first usage of Artificial Intelligence (AI) technique in
geotechnical engineering, during those years many (AI) techniques were developed based …
geotechnical engineering, during those years many (AI) techniques were developed based …
Prediction of ground vibration induced by blasting operations through the use of the Bayesian Network and random forest models
The present study aims to compare the performance of two machine learning techniques
that can unveil the relationship between the input and target variables and predict the …
that can unveil the relationship between the input and target variables and predict the …
Study on the propagation law of tunnel blasting vibration in stratum and blasting vibration reduction technology
X Tian, Z Song, J Wang - Soil Dynamics and Earthquake Engineering, 2019 - Elsevier
In order to explore the propagation law of blasting vibration velocity in strata and reduce the
damage caused by blasting vibration to buildings, a series of blasting vibration tests were …
damage caused by blasting vibration to buildings, a series of blasting vibration tests were …
A new soft computing model for estimating and controlling blast-produced ground vibration based on hierarchical K-means clustering and cubist algorithms
Blasting is an essential task in open-pit mines for rock fragmentation. However, its
dangerous side effects need to be accurately estimated and controlled, especially ground …
dangerous side effects need to be accurately estimated and controlled, especially ground …
Airblast prediction through a hybrid genetic algorithm-ANN model
D Jahed Armaghani, M Hasanipanah… - Neural Computing and …, 2018 - Springer
Air overpressure is one of the most undesirable destructive effects induced by blasting
operation. Hence, a precise prediction of AOp has vital importance to minimize or reduce the …
operation. Hence, a precise prediction of AOp has vital importance to minimize or reduce the …
State of the art about metaheuristics and artificial neural networks applied to open pit mining
G Franco-Sepulveda, JC Del Rio-Cuervo… - Resources Policy, 2019 - Elsevier
In search of the best way to extract and take advantage of minerals, highlighting that these
are part of the most important raw materials for the economic development of today's society …
are part of the most important raw materials for the economic development of today's society …
Prediction of ground vibration due to quarry blasting based on gene expression programming: a new model for peak particle velocity prediction
R Shirani Faradonbeh, D Jahed Armaghani… - International journal of …, 2016 - Springer
Blasting is a widely used technique for rock fragmentation in opencast mines and tunneling
projects. Ground vibration is one of the most environmental effects produced by blasting …
projects. Ground vibration is one of the most environmental effects produced by blasting …
[HTML][HTML] A combination of feature selection and random forest techniques to solve a problem related to blast-induced ground vibration
In mining and civil engineering applications, a reliable and proper analysis of ground
vibration due to quarry blasting is an extremely important task. While advances in machine …
vibration due to quarry blasting is an extremely important task. While advances in machine …
Feasibility of PSO–ANFIS model to estimate rock fragmentation produced by mine blasting
M Hasanipanah, HB Amnieh, H Arab… - Neural Computing and …, 2018 - Springer
Desired rock fragmentation is the main goal of the blasting operation in surface mines, civil
and tunneling works. Therefore, precise prediction of rock fragmentation is very important to …
and tunneling works. Therefore, precise prediction of rock fragmentation is very important to …
[HTML][HTML] A combination of fuzzy Delphi method and hybrid ANN-based systems to forecast ground vibration resulting from blasting
J Huang, M Koopialipoor, DJ Armaghani - Scientific Reports, 2020 - nature.com
This study presents a new input parameter selection and modeling procedure in order to
control and predict peak particle velocity (PPV) values induced by mine blasting. The first …
control and predict peak particle velocity (PPV) values induced by mine blasting. The first …