A novel multi-scale numerical model for prediction of texture-related impacts on fuel consumption
It is estimated that to overcome rolling resistance (RR) a typical vehicle, on average, consumes 4152 MJ/119 L of fuel annually, depending not only on vehicle-related factors but also on pavement-related factors. A slight improvement in surface properties may thus decrease fuel consumption, bringing...
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| Format: | Article |
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Tire Society
2017
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| Online Access: | https://eprints.nottingham.ac.uk/51114/ |
| _version_ | 1848798419959676928 |
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| author | Mansura, Dmytro Thom, Nicholas Beckedahl, Hartmut |
| author_facet | Mansura, Dmytro Thom, Nicholas Beckedahl, Hartmut |
| author_sort | Mansura, Dmytro |
| building | Nottingham Research Data Repository |
| collection | Online Access |
| description | It is estimated that to overcome rolling resistance (RR) a typical vehicle, on average, consumes 4152 MJ/119 L of fuel annually, depending not only on vehicle-related factors but also on pavement-related factors. A slight improvement in surface properties may thus decrease fuel consumption, bringing substantial long-term socioeconomic benefits per capita per country. This aligns with ever-tighter limits on CO2 in the European Union (95 g/km until 2021), fostering sustainable construction and exploitation of tires and pavements. This paper outlines a newly developed multiscale three-dimensional numerical methodology to quantify texture-dependent RR due to indentation of aggregates into viscoelastic tread compound. It consists of a microscale tread block single-aggregate model and a macroscale car tire finite element model, rolling in a steady-state mode over a rigid smooth surface. Microscale interaction rates are deduced from the macroscale model. Tread compound is simulated by application of a time-dependent, linear, viscoelastic model. The microscale simulations enabled quantification of RR induced by an arrangement of surface aggregates. The outlined texture-dependent RR estimates are based on contact force moment around the contact patch center. The computed contact force results show a significant peak of normal force due to viscoelastic and inertia effects at the onset of the tire–surface contact phase, followed by a gradually decreasing/relaxing stress region with a sudden release at the end of the interaction. The contact forces seem to be of a reasonable distribution and magnitude. The proposed approach allows prediction of RR losses due to compressive forces at the microscale. Macro-distortional RR (which is not the subject of this paper) would then have to be added to find the total tire-related RR. |
| first_indexed | 2025-11-14T20:19:29Z |
| format | Article |
| id | nottingham-51114 |
| institution | University of Nottingham Malaysia Campus |
| institution_category | Local University |
| last_indexed | 2025-11-14T20:19:29Z |
| publishDate | 2017 |
| publisher | Tire Society |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | nottingham-511142020-05-04T18:23:05Z https://eprints.nottingham.ac.uk/51114/ A novel multi-scale numerical model for prediction of texture-related impacts on fuel consumption Mansura, Dmytro Thom, Nicholas Beckedahl, Hartmut It is estimated that to overcome rolling resistance (RR) a typical vehicle, on average, consumes 4152 MJ/119 L of fuel annually, depending not only on vehicle-related factors but also on pavement-related factors. A slight improvement in surface properties may thus decrease fuel consumption, bringing substantial long-term socioeconomic benefits per capita per country. This aligns with ever-tighter limits on CO2 in the European Union (95 g/km until 2021), fostering sustainable construction and exploitation of tires and pavements. This paper outlines a newly developed multiscale three-dimensional numerical methodology to quantify texture-dependent RR due to indentation of aggregates into viscoelastic tread compound. It consists of a microscale tread block single-aggregate model and a macroscale car tire finite element model, rolling in a steady-state mode over a rigid smooth surface. Microscale interaction rates are deduced from the macroscale model. Tread compound is simulated by application of a time-dependent, linear, viscoelastic model. The microscale simulations enabled quantification of RR induced by an arrangement of surface aggregates. The outlined texture-dependent RR estimates are based on contact force moment around the contact patch center. The computed contact force results show a significant peak of normal force due to viscoelastic and inertia effects at the onset of the tire–surface contact phase, followed by a gradually decreasing/relaxing stress region with a sudden release at the end of the interaction. The contact forces seem to be of a reasonable distribution and magnitude. The proposed approach allows prediction of RR losses due to compressive forces at the microscale. Macro-distortional RR (which is not the subject of this paper) would then have to be added to find the total tire-related RR. Tire Society 2017-01-01 Article PeerReviewed Mansura, Dmytro, Thom, Nicholas and Beckedahl, Hartmut (2017) A novel multi-scale numerical model for prediction of texture-related impacts on fuel consumption. Tire Science & Technology, 45 (1). pp. 55-70. ISSN 0090-8657 rolling resistance tread block hemispherical aggregate multiscale model vertical velocity contact mechanics fuel consumption http://tiresciencetechnology.org/doi/10.2346/tire.17.450104 doi:10.2346/tire.17.450104 doi:10.2346/tire.17.450104 |
| spellingShingle | rolling resistance tread block hemispherical aggregate multiscale model vertical velocity contact mechanics fuel consumption Mansura, Dmytro Thom, Nicholas Beckedahl, Hartmut A novel multi-scale numerical model for prediction of texture-related impacts on fuel consumption |
| title | A novel multi-scale numerical model for prediction of texture-related impacts on fuel consumption |
| title_full | A novel multi-scale numerical model for prediction of texture-related impacts on fuel consumption |
| title_fullStr | A novel multi-scale numerical model for prediction of texture-related impacts on fuel consumption |
| title_full_unstemmed | A novel multi-scale numerical model for prediction of texture-related impacts on fuel consumption |
| title_short | A novel multi-scale numerical model for prediction of texture-related impacts on fuel consumption |
| title_sort | novel multi-scale numerical model for prediction of texture-related impacts on fuel consumption |
| topic | rolling resistance tread block hemispherical aggregate multiscale model vertical velocity contact mechanics fuel consumption |
| url | https://eprints.nottingham.ac.uk/51114/ https://eprints.nottingham.ac.uk/51114/ https://eprints.nottingham.ac.uk/51114/ |