2003
DOI: 10.1076/ijsm.17.3.183.14770
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Simulation of Automated Dump Trucks for Large Scale Surface Mining Operations

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Cited by 6 publications
(1 citation statement)
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“…One is to use the modeling software to establish the rigid-flexible coupled virtual prototype model or directly use the actual prototype to test the vehicle on a special bracket, the second is to use mathematical modeling and calculation methods for research (Baryshnikov (2018) complex test benches, while the latter requires the creation of complex mathematical models of trucks. Baryshnikov (2018) used mathematical modeling method to derive the dynamic model of the rigid dump truck lifting operation on the longitudinal slope, and studied the lifting stability, and the work in Frimponq et al (2003) created the robotization and stability control (RASC) model of the mining dump truck, and analyzed the stability of the whole vehicle through simulation. In addition, the stability problems of the dump truck under different lifting conditions by establishing a virtual prototype model were studied in Li et al (2017a, b), Jiang et al (2011) and (2012).…”
Section: Introductionmentioning
confidence: 99%
“…One is to use the modeling software to establish the rigid-flexible coupled virtual prototype model or directly use the actual prototype to test the vehicle on a special bracket, the second is to use mathematical modeling and calculation methods for research (Baryshnikov (2018) complex test benches, while the latter requires the creation of complex mathematical models of trucks. Baryshnikov (2018) used mathematical modeling method to derive the dynamic model of the rigid dump truck lifting operation on the longitudinal slope, and studied the lifting stability, and the work in Frimponq et al (2003) created the robotization and stability control (RASC) model of the mining dump truck, and analyzed the stability of the whole vehicle through simulation. In addition, the stability problems of the dump truck under different lifting conditions by establishing a virtual prototype model were studied in Li et al (2017a, b), Jiang et al (2011) and (2012).…”
Section: Introductionmentioning
confidence: 99%