بررسي توزيع بار وسايل نقليه در خطوط و تأثيرآن بر افزايش بارگذاري در خط طراحي با استفاده از داده‌هاي WIM (مطالعه موردي محور رودهن – تهران)

Investigating vehicle load distribution in lanes an‎d its impact on increased loading in the design lane using WIM data (A case study Rudehen-Tehran axis(

مهندسي راه آهن و برنامه ريزي حمل و نقل

Pavement damage over time is caused by a combination of factors, but traffic loads, especially vehicles, play a very important role in the service life of the pavement. Also, the traffic of loaded vehicles is an important factor in causing economic losses, due to the increase in maintenance an‎d reconstruction costs. In particular, an‎d considering the condition of the countryʹs roads, it is observed that it severely damages different roads in different lanes, it is different an‎d can possibly add loads an‎d make them unsuitable for lane design. Therefore, it is necessary to design the pavement in a way that does not cause uniform distribution an‎d also the addition of vehicles in increasing the thickness of the layers an‎d the resistance of the pavement is considered. Therefore, using WIM data taken from the National Highway Organization for a two-lane Roudhen-Tehran route, by examining the loading rate in each lane an‎d how it is distributed among the pavement lanes, considering the following 4 scenarios of different loads: Scenario 1: Considering all vehicles from loaded vehicles an‎d unloaded vehicles. Scenario 2: Considering loaded vehicles. Scenario 3: Considering overloaded vehicles. Scenario 4: Considering axles of vehicles that are overloaded. In each of these scenarios, the number of equivalent passing axles is calculated once based on the permissible axle load of each class of vehicles an‎d their equivalent load coefficients in the regulations an‎d again based on the actual weight of each axle an‎d their equivalent coefficients. The results show that the load distribution on the design line in all scenarios is not in accordance with the regulations an‎d within its permissible range, i.e. between 0.8 an‎d 1 (for a two-lane road). It is also observed in the third scenario that there is about 46% overload in line 1 an‎d about 55% overload in line 2 compared to the regulations, which causes a 3.6-year reduction in the pavement life in line 1 an‎d a 4.1-year reduction in the pavement life in line 2. In the fourth scenario, it is observed that there is about 244% overload in line 1 an‎d about 86% overload in line 2 compared to the regulations, an‎d these overloads in the lines cause a reduction of 9.4 years in the pavement life in line 1 an‎d a reduction of 5.6 years in the pavement life in line 2.

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