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Haul road defect identification and condition assessment using measured truck response
Dissertation (MEng (Mechanical))--University of Pretoria, 2005.
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| Format: | Thesis |
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University of Pretoria
2013
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| _version_ | 1867613524847493120 |
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| access_status_str | Open Access |
| author2 | Thompson, Roger John |
| author_browse | Thompson, Roger John |
| author_facet | Thompson, Roger John |
| collection | Thesis |
| dc_rights_str_mv | ©University of Pretoria 2005G503/ |
| description | Dissertation (MEng (Mechanical))--University of Pretoria, 2005. |
| format | Thesis |
| id | oai:repository.up.ac.za:2263/26341 |
| institution | University of Pretoria (South Africa) |
| last_indexed | 2026-06-10T12:37:31.320Z |
| license_str | Other — see source repository |
| provenance_str_mv | Harvested via OAI-PMH from UPSpace — University of Pretoria Institutional Repository |
| publishDate | 2013 |
| publishDateRange | 2013 |
| publishDateSort | 2013 |
| publisher | University of Pretoria |
| publisherStr | University of Pretoria |
| record_format | dspace |
| source_str | UPSpace — University of Pretoria Institutional Repository |
| spelling | oai:repository.up.ac.za:2263/26341 Haul road defect identification and condition assessment using measured truck response Thompson, Roger John Heyns, P.S. (Philippus Stephanus) hugod@arc.agric.za Hugo, Daniel Road roughness assessment Hydro-pneumatic suspension struts Mine haul road maintenance management Mine haul trucks Road defect identification Off-road vehicles Vehicle modelling UCTD Dissertation (MEng (Mechanical))--University of Pretoria, 2005. 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. Mechanical and Aeronautical Engineering MEng Unrestricted 2013-09-07T04:46:28Z 2008-08-12 2013-09-07T04:46:28Z 2005-09-05 2005 2008-07-16 Dissertation Hugo, D 2005, Haul road defect identification and condition assessment using measured truck response, MEng Dissertation, University of Pretoria, Pretoria, viewed yymmdd <http://hdl.handle.net/2263/26341> 2005G503/ag http://hdl.handle.net/2263/26341 http://upetd.up.ac.za/thesis/available/etd-07162008-092104/ ©University of Pretoria 2005G503/ application/pdf University of Pretoria |
| spellingShingle | Road roughness assessment Hydro-pneumatic suspension struts Mine haul road maintenance management Mine haul trucks Road defect identification Off-road vehicles Vehicle modelling UCTD Haul road defect identification and condition assessment using measured truck response |
| title | Haul road defect identification and condition assessment using measured truck response |
| title_full | Haul road defect identification and condition assessment using measured truck response |
| title_fullStr | Haul road defect identification and condition assessment using measured truck response |
| title_full_unstemmed | Haul road defect identification and condition assessment using measured truck response |
| title_short | Haul road defect identification and condition assessment using measured truck response |
| title_sort | haul road defect identification and condition assessment using measured truck response |
| topic | Road roughness assessment Hydro-pneumatic suspension struts Mine haul road maintenance management Mine haul trucks Road defect identification Off-road vehicles Vehicle modelling UCTD |
| url | http://hdl.handle.net/2263/26341 http://upetd.up.ac.za/thesis/available/etd-07162008-092104/ |