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Dr Manoj Khandelwal

Senior Lecturer, Mining Engineering

School of Engineering, IT and Phys. Sci.

Section/Portfolio:

Engineering

Location:

Mt Helen Campus, Online

Biography

Dr Manoj Khandelwal has an established research profile in mining engineering and is recognised as a leading expert in the areas of mining geomechanics and rock blasting. Dr Khandelwal’s research interests also include environmental geotechnology, slope stability and ground control.

Manoj has a number of prestigious awards and completed research and consultancy projects in his area of expertise. He is also an organising/technical committee member for a number of international conferences. Manoj is an Australian Endeavour Fellow and member of the Australasian Institute of Mining and Metallurgy, Society for Mining, Metallurgy and Exploration, USA, and Mining Engineers Association of India. He has published more than 100 research papers and is on the editorial board of more than 25 refereed international journals.

Manoj joined Federation University Australia in 2015 and is currently Senior Lecturer in mining engineering. He obtained his PhD from the Indian Institute of Technology, India in 2007.

A case study of grinding coarse 5 mm particles into sand grade particles less than 2.36 mm

This paper presents the viability study of utilising a rod or ball mill to grind a ‘5 mm grit’ to...

Blasting pattern optimization using gene expression programming and grasshopper optimization algorithm to minimise blast-induced ground vibrations

Blast-induced ground vibration is considered as one of the most hazardous phenomena of mine...

Developing a hybrid model of Jaya algorithm-based extreme gradient boosting machine to estimate blast-induced ground vibrations

Blasting is still being considered to be one the most important applicable alternatives for...

Intelligent modeling of blast-induced rock movement prediction using dimensional analysis and optimized artificial neural network technique

For maximum metal recovery, considering the movement of ore and waste during the blasting process...

Low amplitude fatigue performance of sandstone, marble, and granite under high static stress

Abstract: Fatigue tests under high static pre-stress loads can provide meaningful results to...

Novel approach to evaluate rock mass fragmentation in block caving using unascertained measurement model and information entropy with flexible credible identification criterion

Performance evaluation of hybrid WOA-XGBoost, GWO-XGBoost and BO-XGBoost models to predict blast-induced ground vibration

Accurate prediction of ground vibration caused by blasting has always been a significant issue in...

Prediction and Assessment of Rock Burst Using Various Meta-heuristic Approaches

One of the utmost severe mining catastrophes in underground hard rock mines is rock burst...

Stability evaluation of dump slope using artificial neural network and multiple regression

The present paper focuses on designing an artificial neural network (ANN) model and a multiple...

Stress–strain relationship of sandstone under confining pressure with repetitive impact

Abstract: A series of triaxial repetitive impact tests were conducted on a 50-mm-diameter split...

A Combination of Expert-Based System and Advanced Decision-Tree Algorithms to Predict Air-Overpressure Resulting from Quarry Blasting

This study combined a fuzzy Delphi method (FDM) and two advanced decision-tree algorithms to...

Assessing cohesion of the rocks proposing a new intelligent technique namely group method of data handling

In this study, evaluation and prediction of rock cohesion is assessed using multiple regression...

Early age properties of alkali-activated cement and class G cement under different saturation conditions in oil well applications

This experimental study evaluates the early-age properties of one-part alkali-activated cement...

Effects of a proper feature selection on prediction and optimization of drilling rate using intelligent techniques

One of the important factors during drilling times is the rate of penetration (ROP), which is...

Estimation of the TBM advance rate under hard rock conditions using XGBoost and Bayesian optimization

The advance rate (AR) of a tunnel boring machine (TBM) under hard rock conditions is a key...

Experimental investigations on mechanical performance of rocks under fatigue loads and biaxial confinements [双轴应力边界和疲劳载荷作用下岩石的力学特性]

In this research, a series of biaxial compression and biaxial fatigue tests were conducted to...

Optimization of blasting design in open pit limestone mines with the aim of reducing ground vibration using robust techniques

Blasting operations create significant problems to residential and other structures located in...

Stability prediction of Himalayan residual soil slope using artificial neural network

In the past decade, advances in machine learning (ML) techniques have resulted in developing...

Waveform features and failure patterns of hollow cylindrical sandstone specimens under repetitive impact and triaxial confinements

In underground engineering practice, the surrounding rocks are subjected to a nonuniform stress...

An experimental study on tensile characteristics of granite rocks exposed to different high-temperature treatments

Investigation of temperature dependent tensile strength characteristics of rocks provides...

Implementing an ANN model optimized by genetic algorithm for estimating cohesion of limestone samples

Shear strength parameters such as cohesion are the most significant rock parameters which can be...

Prediction of index properties of different rocks using non-destructive testing

Index properties of rocks are vital in the planning and design of geo-mining structures. It is a...

  • Conference Proceedings

An expert system based on hybrid ICA-ANN technique to estimate macerals contents of Indian coals

Coal, as an initial source of energy, requires a detailed investigation in terms of ultimate...

Classification and regression tree technique in estimating peak particle velocity caused by blasting

Blasting is a widely used technique for rock fragmentation in surface mines and tunneling...

Development of a precise model for prediction of blast-induced flyrock using regression tree technique

Drilling and blasting is the predominant rock fragmentation method in open-cast mines and civil...

Function development for appraising brittleness of intact rocks using genetic programming and non-linear multiple regression models

Brittleness of rock is one of the most critical features for design of underground excavation...

Study of crack propagation in concrete under multiple loading rates by acoustic emission

It is of great importance to investigate the effect of multiple loading rates on the crack...

A new model based on gene expression programming to estimate air flow in a single rock joint

This paper is aimed to introduce and validate a gene expression programming (GEP) model to...

Prediction of Drillability of Rocks with Strength Properties Using a Hybrid GA-ANN Technique

The purpose of this paper is to provide a proper, practical and convenient drilling rate index...

RETRACTED ARTICLE: Function finding for indirect determination of rock brittleness based on genetic programming and non-linear multiple regression models

Risk Assessment and Prediction of Flyrock Distance by Combined Multiple Regression Analysis and Monte Carlo Simulation of Quarry Blasting

Flyrock is considered as one of the main causes of human injury, fatalities, and structural...

A Dimensional Analysis Approach to Study Blast-Induced Ground Vibration

The prediction of ground vibration is of great importance in the alleviation of the detrimental...

A Method to Improve Transparency of Electronic Election Process without Identification

Differential evolution algorithm for predicting blast induced ground vibrations

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Evaluation of dump slope stability of a coal mine using artificial neural network

Feasibility of ANFIS model for prediction of ground vibrations resulting from quarry blasting

One of the most significant environmental issues of blasting operations is ground vibration,...

Geophysical Characterization of Salinity Ingress in Surka Mining Lease Area of Gujarat, India

Salinity ingress is refers to the process of salt water invading areas which previously contained...

Software feasibility study to transform complex scientific written knowledge to a clear, rationale and simple language

The effect of simplification based on words and their role in approving or rejecting articles

An ANN-based approach to predict blast-induced ground vibration of Gol-E-Gohar iron ore mine, Iran

Blast-induced ground vibration is one of the inevitable outcomes of blasting in mining projects...

Application of soft computing in predicting rock fragmentation to reduce environmental blasting side effects

In the blasting operation, risk of facing with undesirable environmental phenomena such as ground...

Artificial Neural Network as a Tool for Backbreak Prediction

Backbreak is one of the destructive side effects of the blasting operation. Reducing of this...

Assessment of Maximum Explosive Charge Used Per Delay in Surface Mines

  • Conference Proceedings

Evaluation of safe explosive charge in surface mines using artificial neural network

The present paper mainly deals with the prediction of maximum explosive charge used per delay...

Application of an Expert System to Predict Maximum Explosive Charge Used Per Delay in Surface Mining

The present paper mainly deals with the prediction of maximum explosive charge used per delay (Q...

Backbreak prediction in the Chadormalu iron mine using artificial neural network

Backbreak is one of the unfavorable blasting results, which can be defined as the unwanted rock...

Behaviour of Brittle Material in Multiple Loading Rates Under Uniaxial Compression

It is of great importance to investigate the effect of loading rate on the behaviour of brittle...

comparative study on the application of various artificial neural networks to simultaneous prediction of rock fragmentation and backbreak

Correlating P-wave Velocity with the Physico-Mechanical Properties of Different Rocks

In mining and civil engineering projects, physico-mechanical properties of the rock affect both...

Effect of strain rate on strength properties of low-calcium fly-ash-based geopolymer mortar under dry condition

This paper presents the mechanical and elastic properties of inorganic polymer mortar under...

Evaluation and prediction of blast-induced ground vibration at Shur River Dam, Iran, by artificial neural network

The purpose of this article is to evaluate and predict blast-induced ground vibration at Shur...

Evaluation of effect of blast design parameters on flyrock using artificial neural networks

Flyrock, the propelled rock fragments beyond a specific limit, can be considered as one of the...

Prediction of backbreak in open-pit blasting operations using the machine learning method

Backbreak is an undesirable phenomenon in blasting operations. It can cause instability of mine...

Prediction of flyrock in open pit blasting operation using machine learning method

Flyrock is one of the most hazardous events in blasting operation of surface mines. There are...

Prediction of sea water intrusion for mining activity in close precincts of sea shore

The mining lease area of Surka [District Bhavnagar, Gujarat (India)] is located within 6-12 km...

An intelligent approach to evaluate drilling performance

In this paper, an attempt has been made to predict the rate of penetration (ROP) of rocks by...

Application of an Expert System for the Assessment of Blast Vibration

The purpose of this article is to evaluate and predict the blast induced ground vibration using...

Application of an expert system to predict thermal conductivity of rocks

In this paper, an attempt has been made to predict the thermal conductivity (TC) of rocks by...

Application of geogrids in waste dump stability: a numerical modeling approach

Geosynthetic is widely used to reinforce the weak rock mass, mine waste dump, soil slopes road...

Application of neural networks for the prediction of rock fragmentation in Chadormalu iron mine

Most open-pit mining operations employ blasting for primary breakage of the in-situ rock mass....

Artificial neural network for prediction of air flow in a single rock joint

In this paper, an attempt has been made to evaluate and predict the air flow rate in triaxial...

Prediction of Safe Charge to Protect Surrounding Structures Using Support Vector Machine

The present paper mainly with deals the prediction of safe explosive charge used per delay (Q...

Soft Computing Approach to Evaluate and Predict Blast Vibrations

Drilling and blasting is one of the most economical methods used for the exploitation of economic...

  • Book

Validation of RMR-based support design using roof bolts by numerical modeling for underground coal mine of Monnet Ispat, Raigarh, India-a case study

In underground coal mines, a lot of major fatalities have occurred due to roof fall in the newly...

A correlation between Schmidt hammer rebound numbers with impact strength index, slake durability index and P-wave velocity

The main objective of this study was to establish statistical relationship between Schmidt hammer...

Application of soft computing to predict blast-induced ground vibration

In this study, an attempt has been made to evaluate and predict the blast-induced ground...

Blast-induced ground vibration prediction using support vector machine

Ground vibrations induced by blasting are one of the fundamental problems in the mining industry...

Laboratory Investigations for the Role of Flushing Media in Diamond Drilling of Marble

Marble is used as a natural stone for decorative purposes from ages. Marble is a crystalline...

Predicting elastic properties of schistose rocks from unconfined strength using intelligent approach

Elastic properties of rocks play a major and crucial role for the design of any engineering...

Prediction of blast-induced air overpressure using support vector machine

Prediction of blast-induced air overpressure (AOP) is very complicated and intricate due to the...

Prediction of thermal conductivity of rocks by soft computing

The transfer of energy between two adjacent parts of rock mainly depends on its thermal...

Superiority of neural networks for pillar stress prediction in bord and pillar method

Estimation of pillar stress is a crucial task in underground mining. This is used to determine...

A review on existing opencast coal mining methods within Australia

Currently almost 65 % of the coal in Australia is being produced by opencast mining methods....

Artificial neural networks as a valuable tool for well log interpretation

rtificial neural networks (ANNs) are rapidly gaining popularity in the area of oil exploration....

Correlating index properties of rocks with P-wave measurements

The determination of index properties of rock, such as Cerchar Abrasivity Index, Shore Hardness,...

Enhancing diamond drilling performance by the addition of non-ionic polymer to the flushing media

Drilling is a most important and crucial operation in the excavation industries. With the...

Evaluation and prediction of blast induced ground vibration using support vector machine

We present the application of Support Vector Machine (SVM) for the prediction of blast induced...

Evaluation and prediction of blast-induced ground vibration using support vector machine

[No abstract available]

Geological and geotechnical aspects of underground coal mining methods within Australia

About one quarter of the coal produced in Australia is by underground mining methods. The most...

Prediction of macerals contents of Indian coals from proximate and ultimate analyses using artificial neural networks

Coal, a prime source of energy needs in-depth study of its various parameters, such as proximate...