Arbitrary 3D multi-body road vehicle modeling for vehicle-infrastructure interaction
The impact of road vehicle loads on road infrastructure has become increasingly significant due to growing freight traffic in most countries. The traffic loads caused by heavy trucks depend on the vehicle types, configurations, and their dynamic interaction with the infrastructure. However, in most...
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Elsevier
2025-03-01
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| Series: | Results in Engineering |
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| Online Access: | http://www.sciencedirect.com/science/article/pii/S2590123025000672 |
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| author | Shiyi Mei Colin Caprani Daniel Cantero |
| author_facet | Shiyi Mei Colin Caprani Daniel Cantero |
| author_sort | Shiyi Mei |
| collection | DOAJ |
| description | The impact of road vehicle loads on road infrastructure has become increasingly significant due to growing freight traffic in most countries. The traffic loads caused by heavy trucks depend on the vehicle types, configurations, and their dynamic interaction with the infrastructure. However, in most Vehicle-Infrastructure Interaction studies, custom axle models, such as configurations and axle groups, are often ignored, which could potentially amplify traffic loads. Applying conventional mathematical approaches to integrate these custom models into multi-body trucks with large degrees of freedom (DOFs) is generally intractable. Although powerful Multi-body Dynamics (MBD) and Finite Element (FE) software can model vehicles with complex configurations in great detail, their utilization is limited by high costs and long computation times. Thus, this paper proposes an approach based on Kane's method to systematically derive the equations of motion for general multi-body road vehicles with custom axle configurations and axle groups. By avoiding imposing traditional force and moment equilibrium, this approach can be easily applied to a Computer Algebra System (CAS): an open-source Python script based on CAS is provided for constructing symbolic matrices across various road vehicle configurations. The numerical results show that axle configurations and axle groups can influence the dynamic response of the road vehicle, particularly the contact force. |
| format | Article |
| id | doaj-art-b94c1a1b8431486cb0cebb1a0585b19e |
| institution | Kabale University |
| issn | 2590-1230 |
| language | English |
| publishDate | 2025-03-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Results in Engineering |
| spelling | doaj-art-b94c1a1b8431486cb0cebb1a0585b19e2025-01-15T04:11:50ZengElsevierResults in Engineering2590-12302025-03-0125103979Arbitrary 3D multi-body road vehicle modeling for vehicle-infrastructure interactionShiyi Mei0Colin Caprani1Daniel Cantero2Department of Civil Engineering, Monash University, Melbourne, Victoria, AustraliaDepartment of Civil Engineering, Monash University, Melbourne, Victoria, Australia; Corresponding author.Department of Structural Engineering, Norwegian University of Science & Technology NTNU, Trondheim, NorwayThe impact of road vehicle loads on road infrastructure has become increasingly significant due to growing freight traffic in most countries. The traffic loads caused by heavy trucks depend on the vehicle types, configurations, and their dynamic interaction with the infrastructure. However, in most Vehicle-Infrastructure Interaction studies, custom axle models, such as configurations and axle groups, are often ignored, which could potentially amplify traffic loads. Applying conventional mathematical approaches to integrate these custom models into multi-body trucks with large degrees of freedom (DOFs) is generally intractable. Although powerful Multi-body Dynamics (MBD) and Finite Element (FE) software can model vehicles with complex configurations in great detail, their utilization is limited by high costs and long computation times. Thus, this paper proposes an approach based on Kane's method to systematically derive the equations of motion for general multi-body road vehicles with custom axle configurations and axle groups. By avoiding imposing traditional force and moment equilibrium, this approach can be easily applied to a Computer Algebra System (CAS): an open-source Python script based on CAS is provided for constructing symbolic matrices across various road vehicle configurations. The numerical results show that axle configurations and axle groups can influence the dynamic response of the road vehicle, particularly the contact force.http://www.sciencedirect.com/science/article/pii/S2590123025000672Vehicle modelingDynamic 3D vehicleVehicle-infrastructure interactionKane's methodAxle groupsMulti-body |
| spellingShingle | Shiyi Mei Colin Caprani Daniel Cantero Arbitrary 3D multi-body road vehicle modeling for vehicle-infrastructure interaction Results in Engineering Vehicle modeling Dynamic 3D vehicle Vehicle-infrastructure interaction Kane's method Axle groups Multi-body |
| title | Arbitrary 3D multi-body road vehicle modeling for vehicle-infrastructure interaction |
| title_full | Arbitrary 3D multi-body road vehicle modeling for vehicle-infrastructure interaction |
| title_fullStr | Arbitrary 3D multi-body road vehicle modeling for vehicle-infrastructure interaction |
| title_full_unstemmed | Arbitrary 3D multi-body road vehicle modeling for vehicle-infrastructure interaction |
| title_short | Arbitrary 3D multi-body road vehicle modeling for vehicle-infrastructure interaction |
| title_sort | arbitrary 3d multi body road vehicle modeling for vehicle infrastructure interaction |
| topic | Vehicle modeling Dynamic 3D vehicle Vehicle-infrastructure interaction Kane's method Axle groups Multi-body |
| url | http://www.sciencedirect.com/science/article/pii/S2590123025000672 |
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