Open AccessApplication of the Ramberg-Osgood model in asphalt technology
Author(s) -
Seoyoung Cho,
Csaba Tóth,
Péter Primusz
Publication year - 2020
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1527/1/012007
Subject(s) - superposition principle , sigmoid function , rheology , asphalt , modulus , materials science , computer science , mathematics , mathematical analysis , composite material , artificial intelligence , artificial neural network
The “Time-Temperature Superposition” known from rheology has long been a useful tool for studying the behaviour of asphalt mixture. Dynamic modulus values are measured at different temperatures and frequencies can be thoroughly studied using the master curves defined by using this principle. The master curves are usually constructed using the sigmoid functions. However, other types of functions could be used for this purpose as well. One such option is the Ramberg-Osgood material model designed to model the cyclic behaviour of soils. The present article seeks to find out how accurately the use of the Ramberg-Osgood material model can describe the material behaviour of asphalt mixtures, and if there are any new highlights compared to the commonly used master curve determination techniques.