Please use this identifier to cite or link to this item: https://hdl.handle.net/2440/77886
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dc.contributor.authorLu, T.-
dc.contributor.authorXu, S.-
dc.date.issued2012-
dc.identifier.citationAdvances in Complex Systems, 2012; 3(2):1-20-
dc.identifier.issn1793-9623-
dc.identifier.issn1793-9615-
dc.identifier.urihttp://hdl.handle.net/2440/77886-
dc.description.abstractThis paper presents structures and principles of a fast stockpile simulation engine that enhances automatic material process by providing accurate digital information of material quality distribution within stockpiles. Compared with traditional measurement-based approaches, our simulation technology reduces operation cost by eliminating frequent physical measuring; improves operation accuracy through all-time whole-area contour simulation (instead of measuring a few positions of material layers now and then); and speeds the process through fast simulation and instant response to quality information query. Based on simplified grain dynamics and cellular automata models, the technology can achieve real-time/super-real-time simulation, which is critical to be adopted by the industry. Application of the technology in analyzing mineral ores handling is also discussed.-
dc.description.statementofresponsibilityTien-Fu Lu and Shihong Xu-
dc.language.isoen-
dc.publisherWorld Scientific Publishing Co Pte Ltd-
dc.rightsCopyright status unknown-
dc.source.urihttp://dx.doi.org/10.1142/s1793962312500316-
dc.subjectReal-time simulation-
dc.subjectstockpile operation-
dc.subjectstacking and reclaiming-
dc.subjectmineral ores-
dc.titleA fast stockpile simulation engine and its application in mineral ore handling-
dc.typeJournal article-
dc.identifier.doi10.1142/S1793962312500316-
dc.relation.grantARC-
dc.relation.granthttp://purl.org/au-research/grants/arc/LP0989780-
pubs.publication-statusPublished-
dc.identifier.orcidLu, T. [0000-0001-9757-9028]-
Appears in Collections:Aurora harvest 4
Mechanical Engineering publications

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