Resilient Modulus Modeling with Information Theory Approach
Publication: International Journal of Geomechanics
Volume 13, Issue 4
Abstract
Statistical models have been developed to correlate resilient modulus with routine properties of subgrade soils and state of stress for pavement design application. An information theory approach is taken as a method in ranking models. This approach is compared with the approach. A short overview of the information theory approach is introduced without the mathematical proof of the formulas. The notion of ranking stability is introduced and supports the use of the information theory approach. Results are presented comparing the information theory approach and the method for two different data sets.
Get full access to this article
View all available purchase options and get full access to this article.
References
AASHTO. (1986). Standard specifications for transportation materials and methods of sampling and testing, AASHTO, Washington, DC.
Akaike, H. (1973). “Information theory as an extension of maximum likelihood principle.” Second Int. Symp. on Information Theory, Akademiai Kiado, Budapest, Hungary, 267–281.
Anderson, D. (2008). Model based inference in the life sciences: A primer on evidence, Springer, New York.
Anderson, D., Burnham, K., and Thompson, W. (2000). “Null hypothesis testing: Problems, prevalence, and an alternative.” J. Wildl. Manage., 64(4), 912–923.
Burnham, D., and Anderson, D. (2002). Model selection and multimodel inference: A pratical information-Theoretic approach, 2nd Ed., Springer, New York.
Claeskens, G., and Hjort, N. (2009). Model selection and model averaging, 2nd Ed., Cambridge University Press, Cambridge, U.K.
Ebrahimi, A. (2006). “Regression and neural network modeling of resilient modulus based on routine soil properties and stress states.” Ph.D. thesis, Univ. of Oklahoma, Oklahoma City.
Farrar, M. J., and Turner, J. P. (1991). “Resilient modulus of Wyoming subgrade soils.” Mountain Plains Consortium Rep. No. 91-1, Univ. of Wyoming, Laramie, WY.
Hossain, S. (2009). “Estimation of subgrade resilient modulus for Virginia Soil.” 88th Transportation Research Board Annual Meeting, Transportation Research Board, Washington, DC.
Mendenhall, W., and Sincich, T. (2003). A second course in statistics: Regression analysis, 6th Ed., Pearson Education, Upper Saddle River, NJ.
Rencher, A. C., and Pun, F. C. (1980). “Inflation of R2 in best subset regression.” Technometrics, 22, 49–53.
Shibata, R. (1983). “A theoretical view of the use of AIC.” Time Ser. Anal.: Theory Pract., 4, 237–244.
Tarantola, A. (2005). Inverse problem theory, SIAM, Philadelphia.
Tyler, D., Baladi, G., Sessions, C., and Hiadar, S. (2009). “Backcalculated and laboratory measured resilient modulus values.” 88th Transportation Research Board Annual Meeting, Transportation Research Board, Washington, DC.
Information & Authors
Information
Published In
International Journal of Geomechanics
Volume 13 • Issue 4 • August 2013
Pages: 384 - 389
Copyright
© 2013 American Society of Civil Engineers.
History
Received: May 3, 2011
Accepted: Apr 9, 2012
Published online: Apr 12, 2012
Published in print: Aug 1, 2013
Authors
Metrics & Citations
Metrics
Citations
Download citation
If you have the appropriate software installed, you can download article citation data to the citation manager of your choice. Simply select your manager software from the list below and click Download.