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Title: | Automated Trucks' Impact on Pavement Fatigue Damage | Authors: | YEGANEH, Ali VANDOREN, Bram PIRDAVANI, Ali |
Issue Date: | 2024 | Publisher: | MDPI | Source: | Applied sciences (Basel), 14 (13) (Art N° 5552) | Abstract: | The automated truck's steering system can potentially control its lateral movement (i.e., wander mode) within the lane. The controlled wander mode of automated trucks could affect the transverse loading distribution of the wheels and consequently influence pavement fatigue damage in the long term. This study examines the effects of potential wander modes on pavement fatigue damage, considering the effects of lane width, market penetration rate, flexible pavement layers' thickness, and stiffness of the materials. This study uses a finite element model to calculate the flexible pavement response. The mechanistic-empirical method is used to compute the total fatigue damage index for a specific design period, incorporating the wander mode effect. Comparing the fatigue damage indices indicates that automated trucks could either reduce the damage index value from -1.41% to -7.05% (i.e., mitigator scenario) or increase it from +11.6% to +278.57% (i.e., aggravator scenario), depending on their deployment scenarios. Moreover, the findings show that using a uniform-wander mode instead of a zero-wander mode or increasing the thickness and stiffness of the pavement layers could effectively reduce the adverse effect of automated trucks on fatigue damage and reduce the damage indices from -0.06% to -42.95%. However, their impact is considerably influenced by market penetration rate and lane width. | Notes: | Yeganeh, A (corresponding author), UHasselt, Fac Engn Technol, B-3590 Diepenbeek, Belgium. ali.yeganeh@uhasselt.be; bram.vandoren@uhasselt.be; ali.pirdavani@uhasselt.be |
Keywords: | automated vehicle;pavement fatigue damage;wander mode;market penetration rate;finite element model | Document URI: | http://hdl.handle.net/1942/43498 | e-ISSN: | 2076-3417 | DOI: | 10.3390/app14135552 | ISI #: | 001269798400001 | Rights: | 2024 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https:// creativecommons.org/licenses/by/4.0/). | Category: | A1 | Type: | Journal Contribution |
Appears in Collections: | Research publications |
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applsci-14-05552-v2.pdf | Published version | 6.34 MB | Adobe PDF | View/Open |
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