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Prediction of blast induced ground vibrations and frequency in opencast mine : A neural network approach

Author
KHANDELWAL, Manoj1 ; SINGH, T. N1
[1] Department of Earth Sciences, Indian Institute of Technology Bombay, Powai, Mumbai 400 076, India
Source

Journal of sound and vibration. 2006, Vol 289, Num 4-5, pp 711-725, 15 p ; ref : 30 ref

CODEN
JSVIAG
ISSN
0022-460X
Scientific domain
Civil engineering; Mechanical engineering; Mechanics acoustics
Publisher
Elsevier, London
Publication country
United Kingdom
Document type
Article
Language
English
Keyword (fr)
Analyse corrélation Analyse statistique Approche probabiliste Explosif Massif rocheux Mine ciel ouvert Modélisation Mécanique sol Onde souffle Réseau neuronal
Keyword (en)
Correlation analysis Statistical analysis Probabilistic approach Explosives Rock mass Open pit mine Modeling Soil mechanics Blast wave Neural network
Keyword (es)
Análisis correlación Análisis estadístico Enfoque probabilista Explosivo Macizo rocoso Mina cielo abierto Modelización Mecánica suelo Onda explosión Red neuronal
Classification
Pascal
001 Exact sciences and technology / 001B Physics / 001B40 Fundamental areas of phenomenology (including applications) / 001B40F Solid mechanics / 001B40F30 Structural and continuum mechanics / 001B40F30M Vibration, mechanical wave, dynamic stability (aeroelasticity, vibration control...)

Pascal
001 Exact sciences and technology / 001D Applied sciences / 001D14 Buildings. Public works / 001D14F Geotechnics / 001D14F02 Soil mechanics. Rocks mechanics

Discipline
Building. Public works. Transport. Civil engineering Physics : solid mechanics
Origin
Inist-CNRS
Database
PASCAL
INIST identifier
17313661

Sauf mention contraire ci-dessus, le contenu de cette notice bibliographique peut être utilisé dans le cadre d’une licence CC BY 4.0 Inist-CNRS / Unless otherwise stated above, the content of this bibliographic record may be used under a CC BY 4.0 licence by Inist-CNRS / A menos que se haya señalado antes, el contenido de este registro bibliográfico puede ser utilizado al amparo de una licencia CC BY 4.0 Inist-CNRS

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