THE INFLUENCE OF OVERLOADING ON PAVEMENT PERFORMANCE BASED ON WEIGH-IN-MOTION DATA

• Main Author: Jihanny, Jongga
• Format: Dissertations
• Language: Indonesia
• Online Access: https://digilib.itb.ac.id/gdl/view/64047
• Institution: Institut Teknologi Bandung

Pavement infrastructures frequently deteriorate prematurely on actual condition or are not following the planned design life. One of the leading causes is the uncertainty of the vehicle load, which is one of the primary inputs of pavement design. The cause can be due to the phenomenon of overloading. The overloading phenomenon is a condition where the vehicle carries a load that exceeds the standard capacity of the vehicle. This overload condition can be overcome, one of them utilizing load control and firm law enforcement. One tool commonly used as a load control tool is a Weight-in-Motion (WIM) tool. This WIM survey is quite often done in Indonesia, but the utilization of the results, especially related to the vehicle load database, has not been used optimally. Because of that, the vehicle load condition that occurs mainly related to the amount of overloading is unknown with certainty. As a result, how the significance the impact on road pavement performance has not been achieved yet. In this study, an analysis of the magnitude of the overloading and the development of the distribution of the axle load is carried out to represent the variation of the existing traffic load using WIM data. In this study, the representation of the vehicle axle load on the pavement design input uses the axle load distribution data to accommodate the variations in vehicle loads, mainly due to overloading, and measure the impact of these variations on pavement performance. The Pavement performance, which is analyzed to see the impact of overload, is distinguished by two design methods used in this study. The empirical method analyzes the performance of service life and roughness values in the form of IRI values and the road preservation costs. In the mechanistic-empirical (ME) method, an analysis of the effect of overloading is carried out on the performance of fatigue life and permanent deformation of the pavement. In addition, this study proposes a probabilistic design approach related to variations in vehicle axle loads. This design method is one of the novelties of the study where the previous studies related to overloading have not used this method yet. In contrast, in other studies, probabilistic designs do not consider vehicle axle load variations in the analysis. Monte Carlo simulation is used as a simulation method for probabilistic design, with the number of iterations reaching 100,000 simulations. This study found that the magnitude of overloading that occurred on the National Roads of Pantura and Jalintim reached 70% to 80%. Based on the latest WIM Bridge data, the percentage reaches 53% per month, with overloading vehicles reaching 40,000 vehicles/month. The analysis found that the shortening in pavement service life due to overloading can reach 60% of the designed service life. The prediction results based on the IRI value over the service life, there is overrun preservation cost of pavement nearly 2.7 times for the 70% overloading condition on the Pantura section. Overloading conditions result in a significant decrease in fatigue life and permanent deformation. The rate of deterioration of permanent deformation on overloading conditions is higher than the rate of deterioration of fatigue life. Furthermore, the proposed adjustment factor to the design method is the use of 12 tons MST standard based on the actual condition of axle load. The traffic load uncertainty is presented in the form of the probability distribution function of axle load (ALS) and VDF. Then in the design method, a probabilistic approach is proposed to produce an output pavement performance which is presented in the form of a probability or a range of values. The road infrastructure administrator can use the output in the form of this distribution to determine the pavement design's risk analysis or reliability level of the pavement design.