Estimation of Live Load Effect of Single Truck Through Probabilistic Analysis of Truck Traffic on Expressway

Autor: Sang-Sup Ahn, Soon-Min Kwon, Inyeol Paik, Taeyong Yoon
Rok vydání: 2016
Předmět:
Zdroj: International Journal of Highway Engineering. 18:1-11
ISSN: 2287-3678
1738-7159
DOI: 10.7855/ijhe.2016.18.1.001
Popis: PURPOSES : This study estimated the load effect of a single heavy truck to develop a live load model for the design and assessment of bridges located on an expressway with a limited truck entry weight. METHODS : The statistical estimation methods for the live load effect acting on a bridge by a heavy vehicle are reviewed, and applications using the actual measurement data for trucks traveling on an expressway are presented. The weight estimation of a single vehicle and its effect on a bridge are fundamental elements in the construction of a live load model. Two statistical estimation methods for the application of extrapolation in a probabilistic study and an additional estimation method that adopts the extreme value theory are reviewed. RESULTS : The proposed methods are applied to the traffic data measured on an expressway. All of the estimation methods yield similar results using the data measured when the weight limit has been relatively well observed because of the rigid enforcement of the weight regulation. On the other hand, when the estimations are made using overweight traffic data, the resulting values differ with the estimation method. CONCLUSIONS : The estimation methods based on the extreme distribution theory and the modified procedure presented in this paper can yield reasonable values for the maximum weight of a single truck, which can be applied in both the design and evaluation of a bridge on an expressway.
Databáze: OpenAIRE