A new methodology to predict backbreak in blasting operation

QR Code

A new methodology to predict backbreak in blasting operation

Bibliographic Details
Main Authors:	Mohammadnejad, M., Gholami, Raoof, Sereshki, F., Jamshidi, A.
Format:	Journal Article
Published:	2013
Online Access:	http://hdl.handle.net/20.500.11937/32766

Similar Items

Advanced AI-Powered Solutions for Predicting Blast-Induced Flyrock, Backbreak, and Rock Fragmentation
by: Nobahar, Pouya, et al.
Published: (2024)

Prediction of blast-induced vibrations in limestone quarries using Support Vector Machine
by: Mohammadnejad, M., et al.
Published: (2012)

Comparison of intelligence science techniques and empirical methods for prediction of blasting vibrations
by: Mohamadnejad, M., et al.
Published: (2012)

Evaluation of flyrock phenomenon due to blasting operation by support vector machine
by: Amini, H., et al.
Published: (2012)

Geomechanical and Numerical Studies of Casing Damages in a Reservoir with Solid Production
by: Gholami, Raoof, et al.
Published: (2015)

Specification and prediction of net income using by generalized regression Neural Network (A case study)
by: Taboli, H., et al.
Published: (2011)

A methodology for wellbore stability analysis of drilling into presalt formations: A case study from southern Iran
by: Gholami, Raoof, et al.
Published: (2018)

Specification and prediction of nickel mobilization using artificial intelligence methods
by: Gholami, Raoof, et al.
Published: (2011)

Prediction of hydrocarbon reservoirs permeability using support vector machine
by: Gholami, Raoof, et al.
Published: (2012)

A methodology for wellbore stability analysis in anisotropic formations: A case study from the Canning Basin, Western Australia
by: Gholami, Raoof, et al.
Published: (2017)

Development of a New Fence Type Blast Wall for Blast Protection: Numerical Analysis
by: Zong, R., et al.
Published: (2016)

Practical application of failure criteria in determining safe mud weight windows in drilling operations
by: Gholami, Raoof, et al.
Published: (2014)

Prediction Of Blast-Induced Ground Vibration During Blasting At Batu Tiga Quarry Masai
by: Khalid, Akmal Hakim
Published: (2017)

Applications of artificial intelligence methods in prediction of permeability in hydrocarbon reservoirs
by: Gholami, Raoof, et al.
Published: (2014)

Prediction of blast-induced window glass fragments
by: Hao, Hong
Published: (2011)

Near-field blast vibration monitoring and analysis for prediction of blast damage in sublevel open stoping
by: Fleetwood, Kelly Gene
Published: (2010)

Prediction Of Blast-Induced Ground Vibration During Blasting At Lafarge Quarry Kanthan, Ipoh, Perak
by: Pelawang, Khairul Shazwan
Published: (2018)

Shear wave velocity prediction using seismic attributes and well log data
by: Gholami, Raoof, et al.
Published: (2014)

An analytical model to predict the volume of sand during drilling and production
by: Gholami, Raoof, et al.
Published: (2016)

A methodology to improve nanosilica based cements used in CO2sequestration sites
by: Abid, K., et al.
Published: (2018)

A new approach to determine geomechanical parameters of Vertical Transverse Isotropic media using VSP data
by: Gholami, Raoof, et al.
Published: (2014)

Numerical prediction of concrete slab response to blast loading
by: Zhou, X., et al.
Published: (2008)

Deformations’ predictions by utilizing load blast enhanced against structural arbitrary langrangian eulerian methodologies : an LS-DYNA numerical simulation study
by: Mohd Zaid Othman,, et al.
Published: (2021)

Numerical simulations of casing collapse: A case study in the South of Iran
by: Gholami, Raoof, et al.
Published: (2012)

Numerical simulations of casing collapse: A case study in Southern Iran.
by: Gholami, Raoof, et al.
Published: (2012)

Comparison of different failure criteria in prediction of safe mud weigh window in drilling practice
by: Maleki, S., et al.
Published: (2014)

A new methodology for predicting quantity of agglomeration between electrodes in PMEDM environment
by: Abbas, Mohammed Abdulridha, et al.
Published: (2019)

Support Vector Machine: Principles, Parameters, and Applications
by: Gholami, Raoof, et al.
Published: (2017)

Mechanical and Elastic Properties of Transversely Isotropic Slate
by: Gholami, Raoof, et al.
Published: (2014)

Numerical prediction of statistical masonry wall fragment distribution induced by blast loading
by: Wang, M., et al.
Published: (2008)

Predicting the response of locally resonant concrete structure under blast load
by: Jin, H., et al.
Published: (2020)

Numerical prediction of reinforced concrete exterior wall response to blast loading
by: Zhou, X., et al.
Published: (2008)

Numerical Prediction of Cantilevered Reinforced Concrete Wall Subjected to Blast Load
by: Nasly, Mohamed Ali, et al.
Published: (2015)

Blast load assessment: RC wall subjected to blast load
by: Mazlan, Abu Seman, et al.
Published: (2019)

A new prediction methodology for dynamic contact pressure distributions in a disc brake
by: Abu Bakar, Abd. Rahim, et al.
Published: (2006)

Geostatistical modeling and spatial distribution analysis of porosity and permeability in the Shurijeh-B reservoir of Khangiran gas field in Iran
by: Hosseini, E., et al.
Published: (2018)

Blast loaded steel-concrete composite slab
by: Aizat, Alias, et al.
Published: (2021)

Assessing the Performance of Independent Component Analysis in Remote Sensing Data Processing
by: Gholami, Raoof, et al.
Published: (2012)

Disc brake squeal: a prediction methodology
by: Abu Bakar, A. R.
Published: (2008)

Permeability prediction using hydraulic flow units and electrofacies analysis
by: Bhatti, A.A., et al.
Published: (2020)