Predicting truck load variation using Q-Truck Model

Buhari, Rosnawati and Abdullah, Mohd Ezree and Md Rohani, Munzilah (2014) Predicting truck load variation using Q-Truck Model. Applied Mechanics and Materials, 534 . pp. 105-110. ISSN 1662-7482

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Official URL: http://dx.doi.org/10.4028/www.scientific.net/AMM.5...

Abstract

The study of heavy vehicle forces on pavement is important for both vehicle and pavement. Indeed it was identified several factors such as environment, materials and design consideration affects pavement damage over time with traBc loads playing a key role in deterioration. Therefore, this paper presents dynamically varying tire pavement interaction load, thus enable to assess the strain response of pavements influenced by road roughness, truck suspension system, variation of axle loading and vehicle speed. A lOOm pavement with good evenness was simulated to check the sensitivity of the dynamic loads and heavy truck vertical motions to the roughness. The most important performance indicators that are required in pavement distress evaluation are radial strain at the bottom of the asphalt concrete and vertical strain at the subgrade surface was predicted using peak influence function approach. The results show that truck speed is the most important variables that interact with truck suspension system and thus effect of loading time are extremely important when calculating the critical.

Item Type:Article
Uncontrolled Keywords:primary response; dynamic loads; Q-truck; truck load variation; suspension and damping stiffness
Subjects:T Technology > TE Highway engineering. Roads and pavements
Divisions:Faculty of Civil and Environmental Engineering > Department of Infrastructure and Geomatic Engineering
ID Code:5755
Deposited By:Normajihan Abd. Rahman
Deposited On:03 Aug 2014 11:57
Last Modified:03 Aug 2014 11:57

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