Monte Carlo Probabilistic Approach Applied for Solving Problems in Mining Engineering
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27230%2F15%3A86094545" target="_blank" >RIV/61989100:27230/15:86094545 - isvavai.cz</a>
Result on the web
<a href="http://www.scopus.com" target="_blank" >http://www.scopus.com</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/978-3-319-27644-1_8" target="_blank" >10.1007/978-3-319-27644-1_8</a>
Alternative languages
Result language
angličtina
Original language name
Monte Carlo Probabilistic Approach Applied for Solving Problems in Mining Engineering
Original language description
The conference paper presents some computational probabilistic solutions (i.e. direct Monte Carlo simulations and SBRA - Simulation-Based Reliability Assessment Method) applied in the branch of mining engineering. At first, the strength analysis of a bucket wheel excavator used in opencast mines for the extraction of overlying soils is solved. The assessment focuses on the arm of this particular excavator. Quasi-dynamic analysis using Finite Element Method (FEM) and measurement records of the dynamic load during the operation of a large machine can be used to derive statistical inputs (cyclic loading histograms) for probabilistic reliability assessment. At second, the solution of a hard rock (ore) disintegration process is solved (i.e. the bit moves into the ore and subsequently disintegrates it). The probabilistic results are compared with experiments and new design of excavation tool is proposed.
Czech name
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Czech description
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Classification
Type
J<sub>x</sub> - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)
CEP classification
JR - Other machinery industry
OECD FORD branch
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Result continuities
Project
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Continuities
S - Specificky vyzkum na vysokych skolach
Others
Publication year
2015
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
Advances in Intelligent Systems and Computing. Volume 423
ISSN
2194-5357
e-ISSN
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Volume of the periodical
Neuveden
Issue of the periodical within the volume
Neuveden
Country of publishing house
CH - SWITZERLAND
Number of pages
10
Pages from-to
75-85
UT code for WoS article
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EID of the result in the Scopus database
2-s2.0-84959018095