M
Manoj Khandelwal
Researcher at Federation University Australia
Publications - 129
Citations - 4946
Manoj Khandelwal is an academic researcher from Federation University Australia. The author has contributed to research in topics: Computer science & Engineering. The author has an hindex of 34, co-authored 94 publications receiving 3408 citations. Previous affiliations of Manoj Khandelwal include Maharana Pratap University of Agriculture and Technology & Indian Institute of Technology Bombay.
Papers
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Journal ArticleDOI
Prediction of blast-induced ground vibration using artificial neural network
Manoj Khandelwal,Trilok Singh +1 more
TL;DR: In this article, an attempt has been made to evaluate and predict the blast-induced ground vibration and frequency by incorporating rock properties, blast design and explosive parameters using the artificial neural network (ANN) technique.
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Prediction of blast induced ground vibrations and frequency in opencast mine: A neural network approach
Manoj Khandelwal,Trilok Singh +1 more
TL;DR: In this paper, a neural network was used to predict ground vibration and frequency by all possible influencing parameters of rock mass, explosive characteristics and blast design, and the correlation coefficient determined by ANN is 0.9994 and 0.9868.
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Evaluation of blast-induced ground vibration predictors
Manoj Khandelwal,Trilok Singh +1 more
TL;DR: In this article, the authors mainly dealt with the prediction of blast-induced ground vibration level at a Magnesite mine in tecto-dynamically vulnerable hilly terrain in Himalayan region in India.
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Evaluation and prediction of blast-induced ground vibration at Shur River Dam, Iran, by artificial neural network
TL;DR: It was found that the ANN model is more accurate as compared to the various empirical models available and a high conformity was observed between the measured and predicted peak particle velocity by the developed ANN model.
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Correlating static properties of coal measures rocks with P-wave velocity
Manoj Khandelwal,Trilok Singh +1 more
TL;DR: In this article, an attempt has been made to correlate physico-mechanical properties of coal measures rocks with P-wave velocity, and samples of coal, shale, and sandstone has been taken from the four different coal mines of India for the determination of compressive strength, tensile strength, shear strength, density, Young's modulus, Poisson's ratio, and Pwave velocity.