Application of artificial neural network (ANN) for prediction and optimization of blast-induced impacts

AY Al-Bakri, M Sazid - Mining, 2021 - mdpi.com
Drilling and blasting remain the preferred technique used for rock mass breaking in mining
and construction projects compared to other methods from an economic and productivity …

[HTML][HTML] Intelligence prediction of some selected environmental issues of blasting: a review

BR Murlidhar, DJ Armaghani… - The Open …, 2020 -  …
Background: Blasting is commonly used for loosening hard rock during excavation for
generating the desired rock fragmentation required for optimizing the productivity of …

On the use of neuro-swarm system to forecast the pile settlement

DJ Armaghani, PG Asteris, SA Fatemi… - Applied Sciences, 2020 - mdpi.com
In civil engineering applications, piles (deep foundations) are pushed into the ground in
order to perform as steady support of structures. As these type of foundations are able to …

A combination of feature selection and random forest techniques to solve a problem related to blast-induced ground vibration

H Zhang, J Zhou, D Jahed Armaghani, MM Tahir… - Applied Sciences, 2020 - mdpi.com
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 …

A combination of the ICA-ANN model to predict air-overpressure resulting from blasting

D Jahed Armaghani, M Hasanipanah… - Engineering with …, 2016 - Springer
Blasting operations usually produce significant environmental problems which may cause
severe damage to the nearby areas. Air-overpressure (AOp) is one of the most important …

Prediction of compressive strength of concrete modified with fly ash: Applications of neuro-swarm and neuro-imperialism models

A Mohammed, R Kurda, DJ Armaghani… - Computers and …, 2021 - koreascience.kr
In this study, two powerful techniques, namely particle swarm optimization (PSO) and
imperialist competitive algorithm (ICA) were selected and combined with a pre-developed …

Application of fuzzy inference system for prediction of rock fragmentation induced by blasting

S Shams, M Monjezi, VJ Majd… - Arabian Journal of …, 2015 - Springer
Appropriate prediction of rock fragmentation is a vital task in the blasting operations of open
pit mines. Rock fragmentation is affected by various parameters including blast pattern and …

Application of hybrid intelligent systems in predicting the unconfined compressive strength of clay material mixed with recycled additive

MAM Al-Bared, Z Mustaffa, DJ Armaghani… - Transportation …, 2021 - Elsevier
A reliable prediction of the soil properties mixed with recycled material is considered as an
ultimate goal of many geotechnical laboratory works. In this study, after planning and …

Application of group method of data handling technique in assessing deformation of rock mass

DJ Armaghani, E Momeni, PG Asteris - 1, 2020 - techno-press.org
Strength and deformation characteristics of a rock play a remarkable role in designing any
geotechnical structure connected to rock mass. This study aims to propose a practical …

Investigating the applications of machine learning techniques to predict the rock brittleness index

D Sun, M Lonbani, B Askarian, D Jahed Armaghani… - Applied Sciences, 2020 - mdpi.com
Despite the vast usage of machine learning techniques to solve engineering problems, a
very limited number of studies on the rock brittleness index (BI) have used these techniques …