Estimation of LTR rollover index for a high-sided tractor semitrailer vehicle under extreme crosswind conditions through dynamic simulation

Abubaker Abdulwahab, Rakesh Mishra

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Lateral load transfer ratio (LTR) is a criterion that is often used for designing ground vehicle rollover warning technologies to indicate the vehicles rollover status. Generally, LTR index depends on road geometry and vehicle characteristics. However, crosswind loads have the potential to influence the roll stability and therefore the safety of road vehicles particularly large commercial units. This study provides improved methodology for the computation of the LTR index for a high-sided tractor semitrailer vehicle under crosswind conditions. For this purpose, since experiments on real vehicles for active safety technology are difficult to carry out, a coupled simulation of transient crosswind aerodynamics and multi-body vehicle dynamics has been proposed. Based on CFD method, a large-eddy simulation (LES) technique was employed to predict the transient crosswind aerodynamic forces. Then, the predicted aerodynamic forces were input into multi-body dynamic simulations of the tractor semi-trailer vehicle that were performed through ADAMS/Car software. Simulation results show that comparing to the traditional LTR index, the LTR under crosswind is more efficient to detect manoeuvre-induced rollovers. This trailer rollover indicator that has been improved by the proposed methodology can provide more reliable information to the warning or control system in the presence of wind conditions
Original languageEnglish
Title of host publication2017 23rd International Conference on Automation and Computing (ICAC)
PublisherInstitute of Electrical and Electronics Engineers Inc.
Number of pages6
ISBN (Electronic)9780701702601
ISBN (Print)9781509050406
DOIs
Publication statusPublished - 26 Oct 2017
Event23rd International Conference on Automation and Computing: Addressing Global Challenges through Automation and Computing - University of Huddersfield, Huddersfield, United Kingdom
Duration: 7 Sep 20178 Sep 2017
Conference number: 23
https://www.ieee.org/conferences_events/conferences/conferencedetails/index.html?Conf_ID=41042 (Link to Conference Website)

Conference

Conference23rd International Conference on Automation and Computing
Abbreviated titleICAC 2017
CountryUnited Kingdom
CityHuddersfield
Period7/09/178/09/17
OtherThe scope of the conference covers a broad spectrum of areas with multi-disciplinary interests in the fields of automation, control engineering, computing and information systems, ranging from fundamental research to real-world applications.
Internet address

Fingerprint

Computer simulation
Aerodynamics
Tractors (truck)
Truck trailers
Ground vehicles
Light trailers
Alarm systems
Large eddy simulation
Computational fluid dynamics
Railroad cars
Control systems
Geometry
Experiments

Cite this

Abdulwahab, A., & Mishra, R. (2017). Estimation of LTR rollover index for a high-sided tractor semitrailer vehicle under extreme crosswind conditions through dynamic simulation. In 2017 23rd International Conference on Automation and Computing (ICAC) Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.23919/IConAC.2017.8082044
Abdulwahab, Abubaker ; Mishra, Rakesh. / Estimation of LTR rollover index for a high-sided tractor semitrailer vehicle under extreme crosswind conditions through dynamic simulation. 2017 23rd International Conference on Automation and Computing (ICAC). Institute of Electrical and Electronics Engineers Inc., 2017.
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abstract = "Lateral load transfer ratio (LTR) is a criterion that is often used for designing ground vehicle rollover warning technologies to indicate the vehicles rollover status. Generally, LTR index depends on road geometry and vehicle characteristics. However, crosswind loads have the potential to influence the roll stability and therefore the safety of road vehicles particularly large commercial units. This study provides improved methodology for the computation of the LTR index for a high-sided tractor semitrailer vehicle under crosswind conditions. For this purpose, since experiments on real vehicles for active safety technology are difficult to carry out, a coupled simulation of transient crosswind aerodynamics and multi-body vehicle dynamics has been proposed. Based on CFD method, a large-eddy simulation (LES) technique was employed to predict the transient crosswind aerodynamic forces. Then, the predicted aerodynamic forces were input into multi-body dynamic simulations of the tractor semi-trailer vehicle that were performed through ADAMS/Car software. Simulation results show that comparing to the traditional LTR index, the LTR under crosswind is more efficient to detect manoeuvre-induced rollovers. This trailer rollover indicator that has been improved by the proposed methodology can provide more reliable information to the warning or control system in the presence of wind conditions",
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Abdulwahab, A & Mishra, R 2017, Estimation of LTR rollover index for a high-sided tractor semitrailer vehicle under extreme crosswind conditions through dynamic simulation. in 2017 23rd International Conference on Automation and Computing (ICAC). Institute of Electrical and Electronics Engineers Inc., 23rd International Conference on Automation and Computing, Huddersfield, United Kingdom, 7/09/17. https://doi.org/10.23919/IConAC.2017.8082044

Estimation of LTR rollover index for a high-sided tractor semitrailer vehicle under extreme crosswind conditions through dynamic simulation. / Abdulwahab, Abubaker; Mishra, Rakesh.

2017 23rd International Conference on Automation and Computing (ICAC). Institute of Electrical and Electronics Engineers Inc., 2017.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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T1 - Estimation of LTR rollover index for a high-sided tractor semitrailer vehicle under extreme crosswind conditions through dynamic simulation

AU - Abdulwahab, Abubaker

AU - Mishra, Rakesh

PY - 2017/10/26

Y1 - 2017/10/26

N2 - Lateral load transfer ratio (LTR) is a criterion that is often used for designing ground vehicle rollover warning technologies to indicate the vehicles rollover status. Generally, LTR index depends on road geometry and vehicle characteristics. However, crosswind loads have the potential to influence the roll stability and therefore the safety of road vehicles particularly large commercial units. This study provides improved methodology for the computation of the LTR index for a high-sided tractor semitrailer vehicle under crosswind conditions. For this purpose, since experiments on real vehicles for active safety technology are difficult to carry out, a coupled simulation of transient crosswind aerodynamics and multi-body vehicle dynamics has been proposed. Based on CFD method, a large-eddy simulation (LES) technique was employed to predict the transient crosswind aerodynamic forces. Then, the predicted aerodynamic forces were input into multi-body dynamic simulations of the tractor semi-trailer vehicle that were performed through ADAMS/Car software. Simulation results show that comparing to the traditional LTR index, the LTR under crosswind is more efficient to detect manoeuvre-induced rollovers. This trailer rollover indicator that has been improved by the proposed methodology can provide more reliable information to the warning or control system in the presence of wind conditions

AB - Lateral load transfer ratio (LTR) is a criterion that is often used for designing ground vehicle rollover warning technologies to indicate the vehicles rollover status. Generally, LTR index depends on road geometry and vehicle characteristics. However, crosswind loads have the potential to influence the roll stability and therefore the safety of road vehicles particularly large commercial units. This study provides improved methodology for the computation of the LTR index for a high-sided tractor semitrailer vehicle under crosswind conditions. For this purpose, since experiments on real vehicles for active safety technology are difficult to carry out, a coupled simulation of transient crosswind aerodynamics and multi-body vehicle dynamics has been proposed. Based on CFD method, a large-eddy simulation (LES) technique was employed to predict the transient crosswind aerodynamic forces. Then, the predicted aerodynamic forces were input into multi-body dynamic simulations of the tractor semi-trailer vehicle that were performed through ADAMS/Car software. Simulation results show that comparing to the traditional LTR index, the LTR under crosswind is more efficient to detect manoeuvre-induced rollovers. This trailer rollover indicator that has been improved by the proposed methodology can provide more reliable information to the warning or control system in the presence of wind conditions

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Abdulwahab A, Mishra R. Estimation of LTR rollover index for a high-sided tractor semitrailer vehicle under extreme crosswind conditions through dynamic simulation. In 2017 23rd International Conference on Automation and Computing (ICAC). Institute of Electrical and Electronics Engineers Inc. 2017 https://doi.org/10.23919/IConAC.2017.8082044