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You searched for +publisher:"University of Pretoria" +contributor:("Thompson, R.J"). Showing records 1 – 2 of 2 total matches.

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University of Pretoria

1. Hugo, Daniel. Haul road defect identification and condition assessment using measured truck response.

Degree: MEng, Mechanical and Aeronautical Engineering, 2008, University of Pretoria

Mine haul road maintenance is traditionally done at scheduled intervals or after regular inspection. Both these methods can lead to unwarranted expenditure, either through over-maintaining the road, or failure to recognise significant deterioration, resulting in an increase in vehicle operating costs. Predictive maintenance management models for unpaved roads have been developed in recent years. These methods work well in a trivial environment where variables such as traffic volume can be predicted. However, many mining systems are too complex for such models to be effective. This work investigates the possibility of using haul truck response to aid haul road maintenance management. The approach adopted for the study was twofold: Firstly, can truck response data be used to recognise specific road defects, in terms of location, type and size? This is important since different defect types require different road maintenance strategies. Secondly, can road roughness be measured on a qualitative basis? With the emphasis on road defect reconstruction, a mathematical modelling approach was adopted. The truck was characterised in terms of its suspension and tyre properties. Dynamic truck response data was acquired during field measurements in which the vehicle was driven over defects of known dimensions. With these data sets available, mathematical modelling and simulation was possible. Quarter vehicle and seven degree of freedom vehicle models played a vital role in this work by laying a foundation in the use of haul truck response for the purpose of road defect reconstruction. A modelling methodology that is based on dynamic equilibrium of an independent front unsprung mass of the truck is proposed in which the vertical dynamic tyre force and eventually the road geometry is calculated. It is shown that defects can be reconstructed from measured truck response data with an accuracy sufficient to fulfil the requirements of defect recognition for road maintenance management purposes. Secondly, a preliminary investigation into the qualitative assessment of road condition via truck response measurements was conducted. The inherent response properties of the truck pertaining to road roughness measurement were studied and some correlation between measured suspension motion and road roughness measured with a high speed profilometer was found. Advisors/Committee Members: Thompson, R.J. (advisor), Heyns, P.S. (Philippus Stephanus) (advisor).

Subjects/Keywords: Road roughness assessment; Hydro-pneumatic suspension struts; Mine haul road maintenance management; Mine haul trucks; Road defect identification; Off-road vehicles; Vehicle modelling; UCTD

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Hugo, D. (2008). Haul road defect identification and condition assessment using measured truck response. (Masters Thesis). University of Pretoria. Retrieved from http://hdl.handle.net/2263/26341

Chicago Manual of Style (16th Edition):

Hugo, Daniel. “Haul road defect identification and condition assessment using measured truck response.” 2008. Masters Thesis, University of Pretoria. Accessed December 06, 2019. http://hdl.handle.net/2263/26341.

MLA Handbook (7th Edition):

Hugo, Daniel. “Haul road defect identification and condition assessment using measured truck response.” 2008. Web. 06 Dec 2019.

Vancouver:

Hugo D. Haul road defect identification and condition assessment using measured truck response. [Internet] [Masters thesis]. University of Pretoria; 2008. [cited 2019 Dec 06]. Available from: http://hdl.handle.net/2263/26341.

Council of Science Editors:

Hugo D. Haul road defect identification and condition assessment using measured truck response. [Masters Thesis]. University of Pretoria; 2008. Available from: http://hdl.handle.net/2263/26341


University of Pretoria

2. [No author]. Haul road defect identification and condition assessment using measured truck response .

Degree: 2008, University of Pretoria

Mine haul road maintenance is traditionally done at scheduled intervals or after regular inspection. Both these methods can lead to unwarranted expenditure, either through over-maintaining the road, or failure to recognise significant deterioration, resulting in an increase in vehicle operating costs. Predictive maintenance management models for unpaved roads have been developed in recent years. These methods work well in a trivial environment where variables such as traffic volume can be predicted. However, many mining systems are too complex for such models to be effective. This work investigates the possibility of using haul truck response to aid haul road maintenance management. The approach adopted for the study was twofold: Firstly, can truck response data be used to recognise specific road defects, in terms of location, type and size? This is important since different defect types require different road maintenance strategies. Secondly, can road roughness be measured on a qualitative basis? With the emphasis on road defect reconstruction, a mathematical modelling approach was adopted. The truck was characterised in terms of its suspension and tyre properties. Dynamic truck response data was acquired during field measurements in which the vehicle was driven over defects of known dimensions. With these data sets available, mathematical modelling and simulation was possible. Quarter vehicle and seven degree of freedom vehicle models played a vital role in this work by laying a foundation in the use of haul truck response for the purpose of road defect reconstruction. A modelling methodology that is based on dynamic equilibrium of an independent front unsprung mass of the truck is proposed in which the vertical dynamic tyre force and eventually the road geometry is calculated. It is shown that defects can be reconstructed from measured truck response data with an accuracy sufficient to fulfil the requirements of defect recognition for road maintenance management purposes. Secondly, a preliminary investigation into the qualitative assessment of road condition via truck response measurements was conducted. The inherent response properties of the truck pertaining to road roughness measurement were studied and some correlation between measured suspension motion and road roughness measured with a high speed profilometer was found. Advisors/Committee Members: Thompson, R.J (advisor), Heyns, P.S. (Philippus Stephanus) (advisor).

Subjects/Keywords: Road roughness assessment; Hydro-pneumatic suspension struts; Mine haul road maintenance management; Mine haul trucks; Road defect identification; Off-road vehicles; Vehicle modelling; UCTD

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

author], [. (2008). Haul road defect identification and condition assessment using measured truck response . (Masters Thesis). University of Pretoria. Retrieved from http://upetd.up.ac.za/thesis/available/etd-07162008-092104/

Chicago Manual of Style (16th Edition):

author], [No. “Haul road defect identification and condition assessment using measured truck response .” 2008. Masters Thesis, University of Pretoria. Accessed December 06, 2019. http://upetd.up.ac.za/thesis/available/etd-07162008-092104/.

MLA Handbook (7th Edition):

author], [No. “Haul road defect identification and condition assessment using measured truck response .” 2008. Web. 06 Dec 2019.

Vancouver:

author] [. Haul road defect identification and condition assessment using measured truck response . [Internet] [Masters thesis]. University of Pretoria; 2008. [cited 2019 Dec 06]. Available from: http://upetd.up.ac.za/thesis/available/etd-07162008-092104/.

Council of Science Editors:

author] [. Haul road defect identification and condition assessment using measured truck response . [Masters Thesis]. University of Pretoria; 2008. Available from: http://upetd.up.ac.za/thesis/available/etd-07162008-092104/

.