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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

  • Czech description

Classification

  • Type

    J<sub>x</sub> - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)

  • CEP classification

    JR - Other machinery industry

  • OECD FORD branch

Result continuities

  • Project

  • 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

  • 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

  • EID of the result in the Scopus database

    2-s2.0-84959018095