2018
DOI: 10.1080/14488353.2018.1443376
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Haul road rolling resistance and pavement condition

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Cited by 2 publications
(4 citation statements)
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“…As such, the pavement depth was manually adjusted in successive iterations until the target sub-grade compressive strain was achieved. The inputted vehicle wheel loads were as stated in the Komatsu 830E-AC specification (Komatsu, 2006), with tyre/pavement contact areas estimated based on the results of measurements of this property in Coffey et al (2018). The pavement configuration adopted in HIPAVE is presented in Figure 4, with the various material properties presented in Table 1.…”
Section: Methodsmentioning
confidence: 99%
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“…As such, the pavement depth was manually adjusted in successive iterations until the target sub-grade compressive strain was achieved. The inputted vehicle wheel loads were as stated in the Komatsu 830E-AC specification (Komatsu, 2006), with tyre/pavement contact areas estimated based on the results of measurements of this property in Coffey et al (2018). The pavement configuration adopted in HIPAVE is presented in Figure 4, with the various material properties presented in Table 1.…”
Section: Methodsmentioning
confidence: 99%
“…where N is the Weinert N-value; Ej is the evaporation in the warmest month (millimetres); and Pa is the annual precipitation Maintenance blading in both models is considered to return the pavement to a minimum theoretical roughness, which is represented by RG α in Equation (2) and RDSMIN in Equation ( 7). The minimum roughness is assumed to be 4.6 m/km in both models, based on advice in Paige-Green (1990), Paterson (1991), Archondo-Callao (1999), Tan et al (2011), Hore-Lacy et al ( 2015) and the results of measured haul road IRI in Coffey et al (2018). This assumption is necessary as the equations that calculate minimum roughness in the TRH-20 model need to be calibrated against test data, which is not available for this investigation.…”
Section: Methodsmentioning
confidence: 99%
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“…The impact of haul roads has also been described by Douglas, R. A., and Lawrence, K. [18], Richardson, S., and McIver, J. [19] as well as Coffey, J., Nikraz, H., and Leek, C. [20,21]; Li, X., et al [22]; and Hasan, H., and Octariando, R. [23]. The use of machine effectiveness evaluation metrics described by Antosz, K., and Stadnicka, D. [24].…”
Section: Introductionmentioning
confidence: 90%