Subscribe Now Subscribe Today
Science Alert
 
FOLLOW US:     Facebook     Twitter
Blue
   
Curve Top
Asian Journal of Scientific Research
  Year: 2010 | Volume: 3 | Issue: 1 | Page No.: 18-30
DOI: 10.3923/ajsr.2010.18.30
Predictability of Complex Modulus Using Rheological Models
N.I.Md. Yusoff, G.D. Airey and M.R. Hainin

Abstract: The objective of this study was to investigate the advantages and disadvantages of several linear visco-elastic rheological models applied to the unmodified and polymer-modified bitumens. It was found that all the models studied can be used to predict the linear visco-elastic of unmodified bitumens, aged and unaged samples reasonably well. In contrary, this condition was not really applicable on polymer-modified bitumens particularly for the unaged samples. The measured and predicted data was assessed using the discrepancy ratio (Ri), Mean Normalized Error (MNE) and Average Geometric Deviation (AGD) goodness of fitting statistical analysis. From the study, the modified Sigmoidal and Generalized Logistic Sigmoidal models were observed to be the most outstanding models, followed by the Christensen Anderson and Marasteanu (CAM), Christensen and Anderson (CA) and 2S2P1D (2 springs, 2 parabolic elements and 1 spring) models. The presence of semi-crystalline waves and elastomeric structures in the mixtures render the breakdown of time temperature equivalency principle.
PDF Fulltext XML References Citation Report Citation
How to cite this article:

N.I.Md. Yusoff, G.D. Airey and M.R. Hainin, 2010. Predictability of Complex Modulus Using Rheological Models. Asian Journal of Scientific Research, 3: 18-30.

DOI: 10.3923/ajsr.2010.18.30

URL: https://scialert.net/abstract/?doi=ajsr.2010.18.30
 
COMMENT ON THIS PAPER
 
 
 

 
  Navigation
 
  Online First
  Current Issue
  Previous Issues
  Editorial Board
  Submit a Manuscript
  Guide to Authors
  Subscribe to E-alerts

  Indexed In
 
  ASCI-Database
  Asian Digital Library
  Chemical Abstract Services
  Google Scholar
  ISI Web of Knowledge
  SCIMAGO

       

       

Science Alert
Curve Bottom