{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2022,3,29]],"date-time":"2022-03-29T04:02:21Z","timestamp":1648526541859},"reference-count":21,"publisher":"World Scientific Pub Co Pte Lt","issue":"02","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Int. J. Model. Simul. Sci. Comput."],"published-print":{"date-parts":[[2013,6]]},"abstract":"<jats:p> This 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. <\/jats:p>","DOI":"10.1142\/s1793962312500316","type":"journal-article","created":{"date-parts":[[2012,10,8]],"date-time":"2012-10-08T06:22:01Z","timestamp":1349677321000},"page":"1250031","source":"Crossref","is-referenced-by-count":0,"title":["A FAST STOCKPILE SIMULATION ENGINE AND ITS APPLICATION IN MINERAL ORE HANDLING"],"prefix":"10.1142","volume":"04","author":[{"given":"TIEN-FU","family":"LU","sequence":"first","affiliation":[{"name":"School of Mechanical Engineering, University of Adelaide SA, Australia, 5005, Australia"}]},{"given":"SHIHONG","family":"XU","sequence":"additional","affiliation":[{"name":"School of Computer Science, University of Adelaide SA, Australia, 5005, Australia"}]}],"member":"219","published-online":{"date-parts":[[2013,6,20]]},"reference":[{"key":"rf3","doi-asserted-by":"publisher","DOI":"10.1088\/0034-4885\/67\/3\/R01"},{"key":"rf4","doi-asserted-by":"publisher","DOI":"10.1103\/PhysRevE.51.1879"},{"key":"rf5","doi-asserted-by":"publisher","DOI":"10.1098\/rstl.1857.0011"},{"key":"rf7","doi-asserted-by":"publisher","DOI":"10.1017\/S0022112092003173"},{"key":"rf8","doi-asserted-by":"publisher","DOI":"10.1016\/S0892-6875(03)00016-5"},{"key":"rf9","doi-asserted-by":"publisher","DOI":"10.1103\/PhysRevLett.59.381"},{"key":"rf10","doi-asserted-by":"publisher","DOI":"10.1103\/PhysRevA.38.364"},{"key":"rf11","doi-asserted-by":"publisher","DOI":"10.1016\/0378-4371(91)90063-I"},{"key":"rf12","doi-asserted-by":"publisher","DOI":"10.1006\/jdeq.1996.0166"},{"key":"rf13","doi-asserted-by":"publisher","DOI":"10.1016\/0378-4371(92)90344-P"},{"key":"rf14","doi-asserted-by":"publisher","DOI":"10.1016\/0378-4371(92)90366-X"},{"key":"rf15","doi-asserted-by":"publisher","DOI":"10.1103\/PhysRevLett.63.470"},{"key":"rf16","doi-asserted-by":"publisher","DOI":"10.1063\/1.1730376"},{"key":"rf17","doi-asserted-by":"publisher","DOI":"10.1103\/PhysRevE.70.051314"},{"key":"rf18","doi-asserted-by":"publisher","DOI":"10.1016\/j.physleta.2005.06.006"},{"key":"rf19","doi-asserted-by":"publisher","DOI":"10.1115\/1.2893771"},{"key":"rf20","doi-asserted-by":"crossref","unstructured":"T.\u00a0Schwager and T.\u00a0Poschel, System Dynamics and Long-Term Behaviour of Railway Vehicles, Track and Subgrade, Lecture Notes in Physics, eds. 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