malaysia flyrock from rock blasting

Applications of AI and ML Techniques to Predict

·42 3 Applications of AI and ML Techniques to Predict • Drill and blast design Deviation of blastholes from planned direction causes a decrease in spacing or burden excessive powder factor insufficient stemming

Optimized Data Driven Models for Prediction of Flyrock due to Blasting

·Drilling and blasting is an indispensable technique for breakage and displacement of rock masses in open pit mines Nevertheless some undesirable phenomena such as ground vibration airblast flyrock FR and backbreak are produced by blasting operations [1 2 3 4 5] Any blasting event produces a sudden ejection of rock pieces which are

Applications of AI and ML Techniques to Predict Backbreak and Flyrock

·Flyrock due to blasting has always remained risk and adverse environmental impact due to the past history of accidents with serious bodily injuries fatalities and damage to the properties Murlidhar Armaghani R Saad Yi Effect of geological structure and blasting practice in fly rock accident at Johor Malaysia J

Prediction and Controlling of Flyrock due to Blasting for

·Flyrock is an unwanted throw of rock fragments during bench blasting in mines Flyrock is one of the major undesirable effects of blasting for the surface mines because it is the main cause of fatal accidents and serious injuries The aim of this study is to control the flyrock impacts due to blasting and the estimation of safe distances

Probabilistic analysis of flyrock from blasting in surface

·This study predicted flyrock induced by blasting through a novel approach based on the combination of imperialist competitive algorithm ICA and artificial neural network ANN and showed the superiority of the proposed ICA ANN model in comparison with the proposed BP ANN model and empirical approaches

Prediction of Rock Fragmentation for Surface Mine Blasting

·Blasting is essential in mining for rock fragmentation significantly impacting downstream processes overall productivity and the efficiency of resource extraction This study uses machine learning models including decision tree regressor random forest regressor support vector regressor and Extreme gradient boosting machine to predict the blast

Three hybrid intelligent models in estimating flyrock

·diction of flyrock from the blasting face [1815 19] These relationships used one or two influential factors which lead to receive a low performance prediction of this method In addition to increase the safety of the surrounding area fly rock phenomena must be predicted with higher accuracy level before blasting [17 20]

High Speed Motion Analysis Based Machine Learning

·Blasting is a cost efficient and effective technique that utilizes explosive chemical energy to generate the necessary pressure for rock fragmentation in surface mines However a significant portion of this energy is dissipated in undesirable outcomes such as flyrock ground vibration back break etc Among these flyrock poses the gravest threat to structures

FLYROCK ESTIMATION Mine Excellence

·Flyrock is a serious environmental hazard and is often a cause of fatalities serious injury to people damage to equipment buildings property etc Flyrock during blasting Terrock has developed a flyrock model that simplifies what is dynamically complex problem in physics

Taking precautions against flyrock Business Queensland

·When designing a shot you must account for the type of rock and local variability in rock properties including the presence of more highly weathered rock near the surface Good blast design is the best way to avoid flyrock This includes selecting the direction of the blasting face to place people and buildings behind the face

PDF Flyrock risk assessment in blasting operations

·This research has been carried out with the aim of identifying the risks related to flyrock in blasting operations in the road construction project in hard rock Flyrock is one of the destructive

Construction Blasting and Alternative Non Explosive

·lots Rock is often encountered in deep excavations and this would require the use of rock blasting or alternative means to break up the rock such as using chemicals or expansive cements or other methods now available in Malaysia Many of the areas slotted for development are already surrounded by high rise buildings and other amenities It is

Effects of Quarry Blasting Towards the Residential Area

·the intended blasting area to the nearest residential or industrial area Environmental Requirements A Guide for Investors 2010 However this limit has been on the stake when a tragic blast caused a flyrock incident to occur on the 19th of July 2013 at Masai

Application of PSO to develop a powerful equation for prediction of

·Drilling and blasting is a widely used method for rock fragmentation in open pit mines tunneling and civil projects Flyrock as one of the most dangerous effects induced by blasting can cause substantial damage to structures and injury to human Therefore the ability to make proper predictions of flyrock distance is important to reduce and minimize the

Blasting induced flyrock and ground vibration prediction

·A novel approach of incorporating PSO algorithm with ANN has been proposed to eliminate the limitation of the BP ANN and the results indicate that the proposed method is able to predict flyrock distance and PPV induced by blasting with a high degree of accuracy Blasting is a major component of the construction and mining industries in terms of rock fragmentation

Machine learning based prediction of flyrock distance in rock blasting

·According to Raina and Bhatawdekar [9] flyrock is defined as the extraordinary propulsion of fractured rock by explosive and Soofastaei [10] explained it as the unexpected propulsion of rock material owing to the high force of the explosive substance during blasting Considering the detrimental consequences of blasting on the environment flyrock

Rock Blasting Effects and Operations Semantic Scholar

·Semantic Scholar extracted view of "Rock Blasting Effects and Operations" by P Roy proposed to eliminate the limitation of the BP ANN and the results indicate that the proposed method is able to predict flyrock distance and PPV induced by blasting with a high degree of accuracy Expand 333 Malaysian Journal of Science and Advanced

Flyrock in bench blasting a comprehensive review

Bull Eng Geol Environ DOI /s10064 014 0588 6 ORIGINAL PAPER Flyrock in bench blasting a comprehensive review A K Raina • V M S R Murthy • A K Soni Received 20 June 2013 / Accepted 25 February 2014 Springer Verlag Berlin Heidelberg 2014 Abstract Flyrock is unwanted throw of rock fragments during bench blasting in mines and civil constructions

Prediction and minimization of blasting flyrock distance

·Blasting is the prevailing technique commonly employed for rock fragmentation in surface mining operations [] The majority of energy released in blasting operations in surface mines is typically dissipated in non productive ways such as Flyrock Vibration and Back Break and only a small fraction contributes directly to the mechanical work of rock fragmentation []

ROCK BLASTING and the COMMUNITY

·other which controls the direction and degree of rock displacement Again all but the first two factors can be adjusted or designed for by a Blasting Contractor to reduce the amount of flyrock What ODOT and the Blasting Contractor can do to keep ground vibration airblast and flyrock at acceptable and safe levels

Development of a new model for predicting flyrock distance

·This research was aimed at developing a new model to predict flyrock distance based on a genetic programming GP technique For this purpose six granite quarry mines in the Johor area of Malaysia were investigated for which various controllable blasting parameters were recorded A total of 262 datasets consisting of six variables powder factor stemming

Probabilistic analysis of flyrock from blasting in surface

·A sufficient database of measured flyrock ranges produced by blasting at a particular site can be used to determine the probability that flyrock will exceed any prescribed range Such a probabilistic analysis is given for data from 6 sites surface mines and quarries AI prediction deals with a measured set of flyrock ranges for the given

Advanced AI Powered Solutions for Predicting Blast Induced Flyrock

·Blasting operation plays a crucial role in open pit mining projects and significantly affects the mining efficiency and operational costs However blasting operations are usually accompanied by several side effects such as backbreak and flyrock hazards which result in wasting explosive energy damage to the surrounding environment and poor rock